def stcpr_aircx(self, current_time, stcpr_stpt_data, stcpr_data,
zn_dmpr_data, low_sf_cond, high_sf_cond):
"""
Check duct static pressure AIRCx pre-requisites and manage analysis data set.
:param current_time:
:param stcpr_stpt_data:
:param stcpr_data:
:param zn_dmpr_data:
:param low_sf_cond:
:param high_sf_cond:
:return:
"""
if common.check_date(current_time, self.timestamp_array):
common.pre_conditions(self.publish_results, INCONSISTENT_DATE,
DX_LIST, current_time)
self.reinitialize()
run_status = common.check_run_status(self.timestamp_array,
current_time, self.no_req_data,
self.data_window)
if run_status is None:
_log.info(
"{} - Insufficient data to produce a valid diagnostic result.".
format(current_time))
common.pre_conditions(self.publish_results, INSUFFICIENT_DATA,
DX_LIST, current_time)
self.reinitialize()
if run_status:
avg_stcpr_stpt, dx_string, dx_msg = common.setpoint_control_check(
self.stcpr_stpt_array, self.stcpr_array,
self.stpt_deviation_thr, DUCT_STC_RCX)
self.publish_results(current_time, dx_string, dx_msg)
self.low_stcpr_aircx(avg_stcpr_stpt)
self.high_stcpr_aircx(avg_stcpr_stpt)
self.reinitialize()
self.stcpr_array.append(mean(stcpr_data))
if stcpr_stpt_data:
self.stcpr_stpt_array.append(mean(stcpr_stpt_data))
zn_dmpr_data.sort(reverse=False)
self.ls_dmpr_low_avg.extend(
zn_dmpr_data[:int(math.ceil(len(zn_dmpr_data) * 0.5)
) if len(zn_dmpr_data) != 1 else 1])
self.ls_dmpr_high_avg.extend(
zn_dmpr_data[int(math.ceil(len(zn_dmpr_data) * 0.5)) -
1 if len(zn_dmpr_data) != 1 else 0:])
zn_dmpr_data.sort(reverse=True)
self.hs_dmpr_high_avg.extend(
zn_dmpr_data[:int(math.ceil(len(zn_dmpr_data) * 0.5)
) if len(zn_dmpr_data) != 1 else 1])
self.low_sf_condition.append(
low_sf_cond if low_sf_cond is not None else 0)
self.high_sf_condition.append(
high_sf_cond if high_sf_cond is not None else 0)
self.timestamp_array.append(current_time)
def aggregate_power(self, peer, sender, bus, topic, headers, message):
"""
Power measurements for devices are aggregated.
:param peer:
:param sender:
:param bus:
:param topic:
:param headers:
:param message:
:return:
"""
_log.debug("{}: received topic for power aggregation: {}".format(self.agent_name, topic))
data = message[0]
if not self.sim_flag:
current_time = parser.parse(headers["Date"])
to_zone = dateutil.tz.gettz(TIMEZONE)
current_time = current_time.astimezone(to_zone)
else:
current_time = parser.parse(headers["Date"])
self.current_datetime = current_time
current_hour = current_time.hour
try:
current_points = self.demand_aggregation_working.pop(topic)
except KeyError:
if self.power_aggregation:
self.current_power = sum(self.power_aggregation)
else:
self.current_power = 0.
self.demand_aggregation_working = self.demand_aggregation_master.copy()
conversion = current_points.get("conversion")
point_list = []
points = []
for point in current_points.get("points", []):
point_list.append((point, data[point]))
points.append(point)
if conversion is not None:
value = float(self.conversion_handler(conversion, points, point_list))
else:
value = float(data[point])
_log.debug("uncontrol - topic {} value {}".format(topic, value))
self.power_aggregation.append(value)
if not self.demand_aggregation_working:
if self.power_aggregation:
self.uc_load_array.append(sum(self.power_aggregation))
self.normalize_to_hour += 1.0
_log.debug("Current ts uncontrollable load: {}".format(sum(self.power_aggregation)))
else:
self.current_power = 0.
self.power_aggregation = []
self.demand_aggregation_working = self.demand_aggregation_master.copy()
if self.current_hour is not None and current_hour != self.current_hour:
self.q_uc[self.current_hour] = max(- mean(self.uc_load_array)*self.normalize_to_hour/60.0, 10.0)
_log.debug("Current hour uncontrollable load: {}".format(mean(self.uc_load_array)*self.normalize_to_hour/60.0))
self.uc_load_array = []
self.normalize_to_hour = 0
self.current_hour = current_hour
def not_economizing_when_needed(self):
"""If the detected problems(s) are consistent then generate a fault message(s).
No return
"""
oaf = [(m - r) / (o - r) for o, r, m in zip(self.oat_values, self.rat_values, self.mat_values)]
avg_oaf = max(0.0, min(100.0, mean(oaf) * 100.0))
avg_damper_signal = mean(self.oad_values)
diagnostic_msg = {}
energy_impact = {}
thresholds = zip(self.open_damper_threshold.items(), self.oaf_economizing_threshold.items())
for (key, damper_thr), (key2, oaf_thr) in thresholds:
if avg_damper_signal < damper_thr:
msg = "{} - {}: {}".format(constants.ECON2, key, self.alg_result_messages[0])
result = 11.1
energy = self.energy_impact_calculation()
else:
if avg_oaf < oaf_thr:
msg = "{} - {}: {} - OAF={}".format(constants.ECON2, key, self.alg_result_messages[2], avg_oaf)
result = 12.1
energy = self.energy_impact_calculation()
else:
msg = "{} - {}: {}".format(constants.ECON2, key, self.alg_result_messages[1])
result = 10.0
energy = 0.0
_log.info(msg)
diagnostic_msg.update({key: result})
energy_impact.update({key: energy})
_log.info(constants.table_log_format(self.analysis_name, self.timestamp[-1], (constants.ECON2 + constants.DX + ":" + str(diagnostic_msg))))
_log.info(constants.table_log_format(self.analysis_name, self.timestamp[-1], (constants.ECON2 + constants.EI + ":" + str(energy_impact))))
self.results_publish.append(constants.table_publish_format(self.analysis_name, self.timestamp[-1], (constants.ECON2 + constants.DX), diagnostic_msg))
self.results_publish.append(constants.table_publish_format(self.analysis_name, self.timestamp[-1], (constants.ECON2 + constants.EI), energy_impact))
self.clear_data()
def setpoint_reset_aircx(self, current_time, current_fan_status,
stcpr_stpt_data, sat_stpt_data, dx_result):
"""
Main function for set point reset AIRCx - manages data arrays checks AIRCx run status.
:param current_time:
:param current_fan_status:
:param stcpr_stpt_data:
:param sat_stpt_data:
:param dx_result:
:return:
"""
stcpr_run_status = check_run_status(
self.timestamp_array,
current_time,
self.no_req_data,
run_schedule="daily",
minimum_point_array=self.stcpr_stpt_array)
if not self.timestamp_array:
return dx_result
self.reset_table_key = reset_name = create_table_key(
self.analysis, self.timestamp_array[0])
if stcpr_run_status is None:
dx_result.log("{} - Insufficient data to produce - {}".format(
current_time, DUCT_STC_RCX3))
dx_result = pre_conditions(INSUFFICIENT_DATA, [DUCT_STC_RCX3],
reset_name, current_time, dx_result)
self.stcpr_stpt_array = []
elif stcpr_run_status:
dx_result = self.no_static_pr_reset(dx_result)
self.stcpr_stpt_array = []
sat_run_status = check_run_status(
self.timestamp_array,
current_time,
self.no_req_data,
run_schedule="daily",
minimum_point_array=self.sat_stpt_array)
if sat_run_status is None:
dx_result.log("{} - Insufficient data to produce - {}".format(
current_time, SA_TEMP_RCX3))
dx_result = pre_conditions(INSUFFICIENT_DATA, [SA_TEMP_RCX3],
reset_name, current_time, dx_result)
self.sat_stpt_array = []
self.timestamp_array = []
elif sat_run_status:
dx_result = self.no_sat_stpt_reset(dx_result)
self.sat_stpt_array = []
self.timestamp_array = []
if current_fan_status:
if stcpr_stpt_data:
self.stcpr_stpt_array.append(mean(stcpr_stpt_data))
if sat_stpt_data:
self.sat_stpt_array.append(mean(sat_stpt_data))
return dx_result
def high_sat(self, dx_result, avg_sat_stpt):
"""
Diagnostic to identify and correct high supply-air temperature
(correction by modifying SAT set point).
:param dx_result:
:param avg_sat_stpt:
:return:
"""
avg_zones_rht = mean(self.percent_rht) * 100.0
thresholds = zip(self.percent_dmpr_thr.items(),
self.percent_rht_thr.items())
diagnostic_msg = {}
for (key, percent_dmpr_thr), (key2, percent_rht_thr) in thresholds:
avg_zone_dmpr_data = mean(self.percent_dmpr[key]) * 100.0
if avg_zone_dmpr_data > percent_dmpr_thr and avg_zones_rht < percent_rht_thr:
if avg_sat_stpt is None:
# Create diagnostic message for fault
# when supply-air temperature set point
# is not available.
msg = "{} - The SAT too high but SAT set point data is not available.".format(
key)
result = 54.1
elif self.auto_correct_flag:
aircx_sat_stpt = avg_sat_stpt - self.sat_retuning
# Create diagnostic message for fault condition
# with auto-correction
if aircx_sat_stpt >= self.min_sat_stpt:
dx_result.command(self.sat_stpt_cname, aircx_sat_stpt)
sat_stpt = "%s" % float("%.2g" % aircx_sat_stpt)
msg = "{} - SAT too high. SAT set point decreased to: {}{}F".format(
key, self.dgr_sym, sat_stpt)
result = 51.1
else:
# Create diagnostic message for fault condition
# where the maximum SAT has been reached
dx_result.command(self.sat_stpt_cname,
self.min_sat_stpt)
sat_stpt = "%s" % float("%.2g" % self.min_sat_stpt)
msg = "{} - SAT too high. Auto-correcting to min SAT set point {}{}F".format(
key, self.dgr_sym, sat_stpt)
result = 52.1
else:
# Create diagnostic message for fault condition
# without auto-correction
msg = "{} - The SAT too high but auto-correction is not enabled.".format(
key)
result = 53.1
else:
msg = "{} - No problem detected for High SAT diagnostic.".format(
key)
result = 50.0
diagnostic_msg.update({key: result})
dx_result.log(msg)
dx_result.insert_table_row(self.table_key,
{SA_TEMP_RCX2 + DX: diagnostic_msg})
return dx_result
def low_stcpr_dx(self, dx_result, avg_stcpr_stpt):
"""Diagnostic to identify and correct low duct static pressure
(correction by modifying duct static pressure set point).
"""
zn_dmpr = deepcopy(self.zn_dmpr_arr)
zn_dmpr.sort(reverse=False)
zone_dmpr_lowtemp = zn_dmpr[:int(math.ceil(
len(self.zn_dmpr_arr) * 0.5)) if len(self.zn_dmpr_arr) != 1 else 1]
zn_dmpr_low_avg = mean(zone_dmpr_lowtemp)
zone_dmpr_hightemp = zn_dmpr[int(math.
ceil(len(self.zn_dmpr_arr) * 0.5)) -
1 if len(self.zn_dmpr_arr) != 1 else 0:]
zn_dmpr_high_avg = mean(zone_dmpr_hightemp)
if zn_dmpr_high_avg > self.zone_high_dmpr_threshold and zn_dmpr_low_avg > self.zone_low_dmpr_threshold:
if avg_stcpr_stpt is None:
# Create diagnostic message for fault
# when duct static pressure set point
# is not available.
msg = ('The duct static pressure set point has been '
'detected to be too low but but supply-air'
'temperature set point data is not available.')
dx_msg = 14.1
elif self.auto_correct_flag:
auto_correct_stcpr_stpt = avg_stcpr_stpt + self.stcpr_retuning
if auto_correct_stcpr_stpt <= self.max_stcpr_stpt:
dx_result.command(self.stcpr_stpt_cname,
auto_correct_stcpr_stpt)
new_stcpr_stpt = '%s' % float(
'%.2g' % auto_correct_stcpr_stpt)
new_stcpr_stpt = new_stcpr_stpt + ' in. w.g.'
msg = ('The duct static pressure was detected to be '
'too low. The duct static pressure has been '
'increased to: {}'.format(new_stcpr_stpt))
dx_msg = 11.1
else:
dx_result.command(self.stcpr_stpt_cname,
self.max_stcpr_stpt)
new_stcpr_stpt = '%s' % float('%.2g' % self.max_stcpr_stpt)
new_stcpr_stpt = new_stcpr_stpt + ' in. w.g.'
msg = ('The duct static pressure set point is at the '
'maximum value configured by the building '
'operator: {})'.format(new_stcpr_stpt))
dx_msg = 12.1
else:
msg = ('The duct static pressure set point was detected '
'to be too low but auto-correction is not enabled.')
dx_msg = 13.1
else:
msg = ('No re-tuning opportunity was detected during the low duct '
'static pressure diagnostic.')
dx_msg = 10.0
self.dx_table.update({DUCT_STC_RCX1 + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def low_stcpr_aircx(self, dx_result, avg_stcpr_stpt, low_sf_condition):
"""
AIRCx to identify and correct low duct static pressure.
:param dx_result:
:param avg_stcpr_stpt:
:param low_sf_condition:
:return:
"""
zn_dmpr = self.zn_dmpr_array[:]
zn_dmpr.sort(reverse=False)
dmpr_low_temps = zn_dmpr[:int(math.ceil(len(self.zn_dmpr_array)*0.5)) if len(self.zn_dmpr_array) != 1 else 1]
dmpr_low_avg = mean(dmpr_low_temps)
dmpr_high_temps = zn_dmpr[int(math.ceil(len(self.zn_dmpr_array)*0.5)) - 1 if len(self.zn_dmpr_array) != 1 else 0:]
dmpr_high_avg = mean(dmpr_high_temps)
thresholds = zip(self.zn_high_dmpr_thr.items(), self.zn_low_dmpr_thr.items())
diagnostic_msg = {}
for (key, zn_high_dmpr_thr), (key2, zn_low_dmpr_thr) in thresholds:
if dmpr_high_avg > zn_high_dmpr_thr and dmpr_low_avg > zn_low_dmpr_thr:
if low_sf_condition is not None and low_sf_condition:
msg = "{} - duct static pressure too low. Supply fan at maximum.".format(key)
result = 15.1
elif avg_stcpr_stpt is None:
# Create diagnostic message for fault
# when duct static pressure set point
# is not available.
msg = "{} - duct static pressure is too low but set point data is not available.".format(key)
result = 14.1
elif self.auto_correct_flag:
aircx_stcpr_stpt = avg_stcpr_stpt + self.stcpr_retuning
if aircx_stcpr_stpt <= self.max_stcpr_stpt:
dx_result.command(self.stcpr_stpt_cname, aircx_stcpr_stpt)
stcpr_stpt = "%s" % float("%.2g" % aircx_stcpr_stpt)
stcpr_stpt = stcpr_stpt + " in. w.g."
msg = "{} - duct static pressure too low. Set point increased to: {}".format(key,
stcpr_stpt)
result = 11.1
else:
dx_result.command(self.stcpr_stpt_cname, self.max_stcpr_stpt)
stcpr_stpt = "%s" % float("%.2g" % self.max_stcpr_stpt)
stcpr_stpt = stcpr_stpt + " in. w.g."
msg = "{} - duct static pressure too low. Set point increased to max {}.".format(key,
stcpr_stpt)
result = 12.1
else:
msg = "{} - duct static pressure is too low but auto-correction is not enabled.".format(key)
result = 13.1
else:
msg = "{} - no retuning opportunities detected for Low duct static pressure diagnostic.".format(key)
result = 10.0
diagnostic_msg.update({key: result})
dx_result.log(msg)
dx_result.insert_table_row(self.table_key, {DUCT_STC_RCX1 + DX: diagnostic_msg})
return dx_result
def low_sat(self, avg_sat_stpt):
"""
Diagnostic to identify and correct low supply-air temperature
(correction by modifying SAT set point).
:param avg_sat_stpt:
:return:
"""
avg_zones_rht = mean(self.percent_rht) * 100.0
rht_avg = mean(self.rht_array)
thresholds = zip(self.rht_valve_thr.items(),
self.percent_rht_thr.items())
diagnostic_msg = {}
for (key, rht_valve_thr), (key2, percent_rht_thr) in thresholds:
if rht_avg > rht_valve_thr and avg_zones_rht > percent_rht_thr:
if avg_sat_stpt is None:
# Create diagnostic message for fault
# when supply-air temperature set point
# is not available.
msg = "{} - The SAT too low but SAT set point data is not available.".format(
key)
result = 44.1
elif self.auto_correct_flag and self.auto_correct_flag == key:
aircx_sat_stpt = avg_sat_stpt + self.sat_retuning
if aircx_sat_stpt <= self.max_sat_stpt:
self.send_autocorrect_command(self.sat_stpt_cname,
aircx_sat_stpt)
sat_stpt = "%s" % float("%.2g" % aircx_sat_stpt)
msg = "{} - SAT too low. SAT set point increased to: {}F".format(
key, sat_stpt)
result = 41.1
else:
self.send_autocorrect_command(self.sat_stpt_cname,
self.max_sat_stpt)
sat_stpt = "%s" % float("%.2g" % self.max_sat_stpt)
sat_stpt = str(sat_stpt)
msg = "{} - SAT too low. Auto-correcting to max SAT set point {}F".format(
key, sat_stpt)
result = 42.1
else:
msg = "{} - SAT detected to be too low but auto-correction is not enabled.".format(
key)
result = 43.1
else:
msg = "{} - No retuning opportunities detected for Low SAT diagnostic.".format(
key)
result = 40.0
diagnostic_msg.update({key: result})
_log.info(msg)
_log.info(
common.table_log_format(
self.timestamp_array[-1],
(SA_TEMP_RCX1 + DX + ": " + str(diagnostic_msg))))
self.publish_results(self.timestamp_array[-1], SA_TEMP_RCX1 + DX,
diagnostic_msg)
def aggregate_data(self):
oa_ma = [(x - y) for x, y in zip(self.oat_values, self.mat_values)]
ra_ma = [(x - y) for x, y in zip(self.rat_values, self.mat_values)]
ma_oa = [(y - x) for x, y in zip(self.oat_values, self.mat_values)]
ma_ra = [(y - x) for x, y in zip(self.rat_values, self.mat_values)]
avg_oa_ma = mean(oa_ma)
avg_ra_ma = mean(ra_ma)
avg_ma_oa = mean(ma_oa)
avg_ma_ra = mean(ma_ra)
return avg_oa_ma, avg_ra_ma, avg_ma_oa, avg_ma_ra
def aggregate_data(self):
oa_ma = [(x - y) for x, y in zip(self.oat_values, self.mat_values)]
ra_ma = [(x - y) for x, y in zip(self.rat_values, self.mat_values)]
ma_oa = [(y - x) for x, y in zip(self.oat_values, self.mat_values)]
ma_ra = [(y - x) for x, y in zip(self.rat_values, self.mat_values)]
avg_oa_ma = mean(oa_ma)
avg_ra_ma = mean(ra_ma)
avg_ma_oa = mean(ma_oa)
avg_ma_ra = mean(ma_ra)
return avg_oa_ma, avg_ra_ma, avg_ma_oa, avg_ma_ra
def duct_static(self, current_time, stcpr_stpt_data, stcpr_data,
zn_dmpr_data, low_dx_cond, high_dx_cond, dx_result,
validate):
"""Check duct static pressure RCx pre-requisites and assemble the
duct static pressure analysis data set.
"""
if check_date(current_time, self.timestamp_arr):
self.reinitialize()
return dx_result
if low_dx_cond:
dx_result.log(self.low_msg.format(current_time), logging.DEBUG)
return dx_result
if high_dx_cond:
dx_result.log(self.high_msg.format(current_time), logging.DEBUG)
return dx_result
file_key = create_table_key(VALIDATE_FILE_TOKEN, current_time)
data = validation_builder(validate, STCPR_VALIDATE, DATA)
run_status = check_run_status(self.timestamp_arr, current_time, self.no_req_data)
if run_status is None:
dx_result.log('Current analysis data set has insufficient data '
'to produce a valid diagnostic result.')
self.reinitialize()
return dx_result
if run_status:
self.table_key = create_table_key(self.analysis, self.timestamp_arr[-1])
avg_stcpr_stpt, dx_table = setpoint_control_check(self.stcpr_stpt_arr,
self.stcpr_arr,
self.stpt_allowable_dev,
DUCT_STC_RCX, DX,
STCPR_NAME, self.token_offset)
self.dx_table.update(dx_table)
dx_result = self.low_stcpr_dx(dx_result, avg_stcpr_stpt)
dx_result = self.high_stcpr_dx(dx_result, avg_stcpr_stpt)
dx_result.insert_table_row(self.table_key, self.dx_table)
self.data.update({STCPR_VALIDATE + DATA + ST: 1})
dx_result.insert_table_row(self.file_key, self.data)
self.reinitialize()
self.stcpr_stpt_arr.append(mean(stcpr_data))
self.stcpr_arr.append(mean(stcpr_stpt_data))
self.zn_dmpr_arr.append(mean(zn_dmpr_data))
self.timestamp_arr.append(current_time)
if self.data:
self.data.update({STCPR_VALIDATE + DATA + ST: 0})
dx_result.insert_table_row(self.file_key, self.data)
self.data = data
self.file_key = file_key
return dx_result
def stcpr_aircx(self, current_time, stcpr_stpt_data, stcpr_data,
zn_dmpr_data, low_sf_cond, high_sf_cond, dx_result):
"""
Check duct static pressure AIRCx pre-requisites and manage analysis data set.
:param current_time:
:param stcpr_stpt_data:
:param stcpr_data:
:param zn_dmpr_data:
:param low_sf_cond:
:param high_sf_cond:
:param dx_result:
:return:
"""
try:
if check_date(current_time, self.timestamp_array):
dx_result = pre_conditions(INCONSISTENT_DATE, DX_LIST,
self.analysis, current_time,
dx_result)
self.reinitialize()
return dx_result
run_status = check_run_status(self.timestamp_array, current_time,
self.no_req_data, self.data_window)
if run_status is None:
dx_result.log(
"{} - Insufficient data to produce a valid diagnostic result."
.format(current_time))
dx_result = pre_conditions(INSUFFICIENT_DATA, DX_LIST,
self.analysis, current_time,
dx_result)
self.reinitialize()
return dx_result
if run_status:
self.table_key = create_table_key(self.analysis,
self.timestamp_array[-1])
avg_stcpr_stpt, dx_table, dx_result = setpoint_control_check(
self.stcpr_stpt_array, self.stcpr_array,
self.stpt_deviation_thr, DUCT_STC_RCX, self.dx_offset,
dx_result)
dx_result.insert_table_row(self.table_key, dx_table)
dx_result = self.low_stcpr_aircx(dx_result, avg_stcpr_stpt,
low_sf_cond)
dx_result = self.high_stcpr_aircx(dx_result, avg_stcpr_stpt,
high_sf_cond)
self.reinitialize()
return dx_result
finally:
self.stcpr_stpt_array.append(mean(stcpr_data))
self.stcpr_array.append(mean(stcpr_stpt_data))
self.zn_dmpr_array.append(mean(zn_dmpr_data))
self.timestamp_array.append(current_time)
def setpoint_reset_aircx(self, current_time, current_fan_status,
stcpr_stpt_data, sat_stpt_data):
"""
Main function for set point reset AIRCx - manages data arrays checks AIRCx run status.
:param current_time:
:param current_fan_status:
:param stcpr_stpt_data:
:param sat_stpt_data:
:return:
"""
stcpr_run_status = common.check_run_status(
self.timestamp_array,
current_time,
self.no_req_data,
run_schedule="daily",
minimum_point_array=self.stcpr_stpt_array)
if not self.timestamp_array:
return
if stcpr_run_status is None:
_log.info("{} - Insufficient data to produce - {}".format(
current_time, DUCT_STC_RCX3))
common.pre_conditions(self.publish_results, INSUFFICIENT_DATA,
[DUCT_STC_RCX3], current_time)
self.stcpr_stpt_array = []
elif stcpr_run_status:
self.no_static_pr_reset()
self.stcpr_stpt_array = []
sat_run_status = common.check_run_status(
self.timestamp_array,
current_time,
self.no_req_data,
run_schedule="daily",
minimum_point_array=self.sat_stpt_array)
if sat_run_status is None:
_log.info("{} - Insufficient data to produce - {}".format(
current_time, SA_TEMP_RCX3))
common.pre_conditions(self.publish_results, INSUFFICIENT_DATA,
[SA_TEMP_RCX3], current_time)
self.sat_stpt_array = []
self.timestamp_array = []
elif sat_run_status:
self.no_sat_stpt_reset()
self.sat_stpt_array = []
self.timestamp_array = []
if current_fan_status:
if stcpr_stpt_data:
self.stcpr_stpt_array.append(mean(stcpr_stpt_data))
if sat_stpt_data:
self.sat_stpt_array.append(mean(sat_stpt_data))
def sched_rcx_alg(self, current_time, stcpr_data, stcpr_stpt_data,
sat_stpt_data, fan_stat_data, dx_result,
sched_val):
"""Check schedule status and unit operational status."""
fan_status = None
schedule = self.schedule[current_time.weekday()]
run_diagnostic = False
start_new_analysis_sat_stpt = None
start_new_analysis_stcpr_stpt = None
if self.timestamp and self.timestamp[-1].date() != current_time.date():
start_new_analysis_time = current_time
run_diagnostic = True
if not run_diagnostic:
if current_time.time() < schedule[0] or current_time.time() > schedule[1]:
self.stcpr_arr.extend(stcpr_data)
self.fanstat_values.append((current_time, int(max(fan_stat_data))))
self.sched_time.append(current_time)
if int(max(fan_stat_data)):
self.stcpr_stpt_arr.append(mean(stcpr_stpt_data))
self.sat_stpt_arr.append(mean(sat_stpt_data))
fan_status = int(max(fan_stat_data))
start_new_analysis_sat_stpt = mean(stcpr_stpt_data)
start_new_analysis_stcpr_stpt = mean(sat_stpt_data)
self.timestamp.append(current_time)
data = validation_builder(sched_val, SCHED_VALIDATE, DATA)
reset_key = create_table_key(self.reset_file_name_id, self.timestamp[0])
schedule_key = create_table_key(self.sched_file_name_id, self.timestamp[0])
file_key = create_table_key(VALIDATE_FILE_TOKEN, current_time)
if run_diagnostic and len(self.timestamp) >= self.no_req_data:
dx_result = self.unocc_fan_operation(dx_result)
if len(self.stcpr_stpt_arr) >= self.no_req_data:
dx_result = self.no_static_pr_reset(dx_result)
if len(self.sat_stpt_arr) >= self.no_req_data:
dx_result = self.no_sat_stpt_reset(dx_result)
if self.dx_table:
dx_result.insert_table_row(reset_key, self.dx_table)
data.update({SCHED_VALIDATE + DATA + ST: 1})
self.reinitialize(start_new_analysis_time, start_new_analysis_sat_stpt,
start_new_analysis_stcpr_stpt, stcpr_data, fan_status)
elif run_diagnostic:
dx_msg = 61.2
dx_table = {SCHED_RCX + DX: dx_msg}
dx_result.insert_table_row(schedule_key, dx_table)
data.update({SCHED_VALIDATE + DATA + ST: 2})
self.reinitialize(start_new_analysis_time, start_new_analysis_sat_stpt,
start_new_analysis_stcpr_stpt, stcpr_data, fan_status)
else:
data.update({SCHED_VALIDATE + DATA + ST: 0})
dx_result.insert_table_row(file_key, data)
return dx_result
def low_sat(self, dx_result, avg_sat_stpt):
"""
Diagnostic to identify and correct low supply-air temperature
(correction by modifying SAT set point).
:param dx_result:
:param avg_sat_stpt:
:return:
"""
avg_zones_rht = mean(self.percent_rht) * 100.0
rht_avg = mean(self.rht_array)
thresholds = zip(self.rht_valve_thr.items(),
self.percent_rht_thr.items())
diagnostic_msg = {}
for (key, rht_valve_thr), (key2, percent_rht_thr) in thresholds:
if rht_avg > rht_valve_thr and avg_zones_rht > percent_rht_thr:
if avg_sat_stpt is None:
# Create diagnostic message for fault
# when supply-air temperature set point
# is not available.
msg = "{} - The SAT too low but SAT set point data is not available.".format(
key)
result = 44.1
elif self.auto_correct_flag:
aircx_sat_stpt = avg_sat_stpt + self.sat_retuning
if aircx_sat_stpt <= self.max_sat_stpt:
dx_result.command(self.sat_stpt_cname, aircx_sat_stpt)
sat_stpt = "%s" % float("%.2g" % aircx_sat_stpt)
msg = "{} - SAT too low. SAT set point increased to: {}{}F".format(
key, self.dgr_sym, sat_stpt)
result = 41.1
else:
dx_result.command(self.sat_stpt_cname,
self.max_sat_stpt)
sat_stpt = "%s" % float("%.2g" % self.max_sat_stpt)
sat_stpt = str(sat_stpt)
msg = "{} - SAT too low. Auto-correcting to max SAT set point {}{}F".format(
key, self.dgr_sym, sat_stpt)
result = 42.1
else:
msg = "{} - SAT detected to be too low but auto-correction is not enabled.".format(
key)
result = 43.1
else:
msg = "{} - No retuning opportunities detected for Low SAT diagnostic.".format(
key)
result = 40.0
diagnostic_msg.update({key: result})
dx_result.log(msg)
dx_result.insert_table_row(self.table_key,
{SA_TEMP_RCX1 + DX: diagnostic_msg})
return dx_result
def low_stcpr_dx(self, dx_result, avg_stcpr_stpt):
"""Diagnostic to identify and correct low duct static pressure
(correction by modifying duct static pressure set point).
"""
zn_dmpr = deepcopy(self.zn_dmpr_arr)
zn_dmpr.sort(reverse=False)
zone_dmpr_lowtemp = zn_dmpr[:int(math.ceil(len(self.zn_dmpr_arr)*0.5)) if len(self.zn_dmpr_arr) != 1 else 1]
zn_dmpr_low_avg = mean(zone_dmpr_lowtemp)
zone_dmpr_hightemp = zn_dmpr[int(math.ceil(len(self.zn_dmpr_arr)*0.5)) - 1 if len(self.zn_dmpr_arr) != 1 else 0:]
zn_dmpr_high_avg = mean(zone_dmpr_hightemp)
if zn_dmpr_high_avg > self.zone_high_dmpr_threshold and zn_dmpr_low_avg > self.zone_low_dmpr_threshold:
if avg_stcpr_stpt is None:
# Create diagnostic message for fault
# when duct static pressure set point
# is not available.
msg = ('The duct static pressure set point has been '
'detected to be too low but but supply-air'
'temperature set point data is not available.')
dx_msg = 14.1
elif self.auto_correct_flag:
auto_correct_stcpr_stpt = avg_stcpr_stpt + self.stcpr_retuning
if auto_correct_stcpr_stpt <= self.max_stcpr_stpt:
dx_result.command(self.stcpr_stpt_cname, auto_correct_stcpr_stpt)
new_stcpr_stpt = '%s' % float('%.2g' % auto_correct_stcpr_stpt)
new_stcpr_stpt = new_stcpr_stpt + ' in. w.g.'
msg = ('The duct static pressure was detected to be '
'too low. The duct static pressure has been '
'increased to: {}'
.format(new_stcpr_stpt))
dx_msg = 11.1
else:
dx_result.command(self.stcpr_stpt_cname, self.max_stcpr_stpt)
new_stcpr_stpt = '%s' % float('%.2g' % self.max_stcpr_stpt)
new_stcpr_stpt = new_stcpr_stpt + ' in. w.g.'
msg = ('The duct static pressure set point is at the '
'maximum value configured by the building '
'operator: {})'.format(new_stcpr_stpt))
dx_msg = 12.1
else:
msg = ('The duct static pressure set point was detected '
'to be too low but auto-correction is not enabled.')
dx_msg = 13.1
else:
msg = ('No re-tuning opportunity was detected during the low duct '
'static pressure diagnostic.')
dx_msg = 10.0
self.dx_table.update({DUCT_STC_RCX1 + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def high_sat(self, dx_result, avg_sat_stpt):
"""Diagnostic to identify and correct high supply-air temperature
(correction by modifying SAT set point)
"""
avg_zones_rht = mean(self.percent_rht) * 100
avg_zone_dmpr_data = mean(self.percent_dmpr) * 100
if avg_zone_dmpr_data > self.percent_dmpr_thr and avg_zones_rht < self.percent_rht_thr:
if avg_sat_stpt is None:
# Create diagnostic message for fault
# when supply-air temperature set point
# is not available.
msg = ('The SAT has been detected to be too high but '
'but supply-air temperature set point data '
'is not available.')
dx_msg = 54.1
elif self.auto_correct_flag:
autocorrect_sat_stpt = avg_sat_stpt - self.sat_retuning
# Create diagnostic message for fault condition
# with auto-correction
if autocorrect_sat_stpt >= self.min_sat_stpt:
dx_result.command(self.sat_stpt_cname,
autocorrect_sat_stpt)
sat_stpt = '%s' % float('%.2g' % autocorrect_sat_stpt)
msg = ('The SAT has been detected to be too high. The '
'SAT set point has been increased to: '
'{}{}F'.format(self.dgr_sym, sat_stpt))
dx_msg = 51.1
else:
# Create diagnostic message for fault condition
# where the maximum SAT has been reached
dx_result.command(self.sat_stpt_cname, self.min_sat_stpt)
sat_stpt = '%s' % float('%.2g' % self.min_sat_stpt)
msg = ('The SAT was detected to be too high, '
'auto-correction has increased the SAT to the '
'minimum configured SAT: {}{}F'.format(
self.dgr_sym, sat_stpt))
dx_msg = 52.1
else:
# Create diagnostic message for fault condition
# without auto-correction
msg = ('The SAT has been detected to be too high but '
'auto-correction is not enabled.')
dx_msg = 53.1
else:
msg = ('No problem detected for High Supply-air '
'Temperature diagnostic.')
dx_msg = 50.0
self.dx_table.update({SA_TEMP_RCX2 + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def high_sat(self, dx_result, avg_sat_stpt):
"""Diagnostic to identify and correct high supply-air temperature
(correction by modifying SAT set point)
"""
avg_zones_rht = mean(self.percent_rht)*100
avg_zone_dmpr_data = mean(self.percent_dmpr)*100
if avg_zone_dmpr_data > self.percent_dmpr_thr and avg_zones_rht < self.percent_rht_thr:
if avg_sat_stpt is None:
# Create diagnostic message for fault
# when supply-air temperature set point
# is not available.
msg = ('The SAT has been detected to be too high but '
'but supply-air temperature set point data '
'is not available.')
dx_msg = 54.1
elif self.auto_correct_flag:
autocorrect_sat_stpt = avg_sat_stpt - self.sat_retuning
# Create diagnostic message for fault condition
# with auto-correction
if autocorrect_sat_stpt >= self.min_sat_stpt:
dx_result.command(self.sat_stpt_cname, autocorrect_sat_stpt)
sat_stpt = '%s' % float('%.2g' % autocorrect_sat_stpt)
msg = ('The SAT has been detected to be too high. The '
'SAT set point has been increased to: '
'{}{}F'.format(self.dgr_sym, sat_stpt))
dx_msg = 51.1
else:
# Create diagnostic message for fault condition
# where the maximum SAT has been reached
dx_result.command(self.sat_stpt_cname, self.min_sat_stpt)
sat_stpt = '%s' % float('%.2g' % self.min_sat_stpt)
msg = ('The SAT was detected to be too high, '
'auto-correction has increased the SAT to the '
'minimum configured SAT: {}{}F'
.format(self.dgr_sym, sat_stpt))
dx_msg = 52.1
else:
# Create diagnostic message for fault condition
# without auto-correction
msg = ('The SAT has been detected to be too high but '
'auto-correction is not enabled.')
dx_msg = 53.1
else:
msg = ('No problem detected for High Supply-air '
'Temperature diagnostic.')
dx_msg = 50.0
self.dx_table.update({SA_TEMP_RCX2 + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def duct_static(self, current_time, stcpr_stpt_data, stcpr_data,
zn_dmpr_data, low_dx_cond, high_dx_cond, dx_result):
"""Check duct static pressure RCx pre-requisites and assemble the
duct static pressure analysis data set.
"""
dx_status = 0
if check_date(current_time, self.timestamp_arr):
dx_status = 0
self.reinitialize()
return dx_status, dx_result
if low_dx_cond:
dx_result.log(self.low_msg.format(current_time), logging.DEBUG)
return dx_status, dx_result
if high_dx_cond:
dx_result.log(self.high_msg.format(current_time), logging.DEBUG)
return dx_status, dx_result
run_status = check_run_status(self.timestamp_arr, current_time,
self.no_req_data)
if run_status is None:
dx_result.log('Current analysis data set has insufficient data '
'to produce a valid diagnostic result.')
self.reinitialize()
return dx_status, dx_result
dx_status = 1
if run_status:
self.table_key = create_table_key(self.analysis,
self.timestamp_arr[-1])
avg_stcpr_stpt, dx_table = setpoint_control_check(
self.stcpr_stpt_arr, self.stcpr_arr, self.stpt_allowable_dev,
DUCT_STC_RCX, DX, STCPR_NAME, self.token_offset)
self.dx_table.update(dx_table)
dx_result = self.low_stcpr_dx(dx_result, avg_stcpr_stpt)
dx_result = self.high_stcpr_dx(dx_result, avg_stcpr_stpt)
dx_result.insert_table_row(self.table_key, self.dx_table)
dx_status = 2
self.reinitialize()
self.stcpr_stpt_arr.append(mean(stcpr_data))
self.stcpr_arr.append(mean(stcpr_stpt_data))
self.zn_dmpr_arr.append(mean(zn_dmpr_data))
self.timestamp_arr.append(current_time)
return dx_status, dx_result
def high_stcpr_aircx(self, dx_result, avg_stcpr_stpt, high_sf_condition):
"""
AIRCx to identify and correct high duct static pressure.
:param dx_result:
:param avg_stcpr_stpt:
:param high_sf_condition:
:return:
"""
zn_dmpr = self.zn_dmpr_array[:]
zn_dmpr.sort(reverse=True)
zn_dmpr = zn_dmpr[:int(math.ceil(len(self.zn_dmpr_array) * 0.5)
) if len(self.zn_dmpr_array) != 1 else 1]
avg_zn_damper = mean(zn_dmpr)
diagnostic_msg = {}
for key, hdzn_dmpr_thr in self.hdzn_dmpr_thr.items():
if avg_zn_damper <= hdzn_dmpr_thr:
if high_sf_condition is not None and high_sf_condition:
msg = "{} - duct static pressure too high. Supply fan at minimum.".format(
key)
result = 25.1
elif avg_stcpr_stpt is None:
# Create diagnostic message for fault
# when duct static pressure set point
# is not available.
msg = "{} - duct static pressure is too high but set point data is not available.".format(
key)
result = 24.1
elif self.auto_correct_flag:
aircx_stcpr_stpt = avg_stcpr_stpt - self.stcpr_retuning
if aircx_stcpr_stpt >= self.min_stcpr_stpt:
dx_result.command(self.stcpr_stpt_cname,
aircx_stcpr_stpt)
stcpr_stpt = "%s" % float("%.2g" % aircx_stcpr_stpt)
stcpr_stpt = stcpr_stpt + " in. w.g."
msg = "{} - duct static pressure too high. Set point decreased to: {}".format(
key, stcpr_stpt)
result = 21.1
else:
dx_result.command(self.stcpr_stpt_cname,
self.min_stcpr_stpt)
stcpr_stpt = "%s" % float("%.2g" % self.min_stcpr_stpt)
stcpr_stpt = stcpr_stpt + " in. w.g."
msg = "{} - duct static pressure too high. Set point decreased to min {}.".format(
key, stcpr_stpt)
result = 22.1
else:
msg = "{} - duct static pressure is too high but auto-correction is not enabled.".format(
key)
result = 23.1
else:
msg = "{} - No retuning opportunities detected for high duct static pressure diagnostic.".format(
key)
result = 20.0
diagnostic_msg.update({key: result})
dx_result.log(msg)
dx_result.insert_table_row(self.table_key,
{DUCT_STC_RCX2 + DX: diagnostic_msg})
return dx_result
def run_diagnostic(self):
msg = ""
if len(self.oat_values) > self.no_required_data:
mat_oat_diff_list = [
abs(x - y) for x, y in zip(self.oat_values, self.mat_values)
]
open_damper_check = mean(mat_oat_diff_list)
diagnostic_msg = {}
for sensitivity, threshold in self.oat_mat_check.items():
if open_damper_check > threshold:
msg = "{} - {}: OAT and MAT are inconsistent when OAD is near 100%".format(
constants.ECON1, str(sensitivity))
result = 0.1
else:
msg = "{} - {}: OAT and MAT are consistent when OAD is near 100%".format(
constants.ECON1, str(sensitivity))
result = 0.0
diagnostic_msg.update({sensitivity: result})
_log.info(msg)
_log.info(
constants.table_log_format(self.analysis_name,
self.timestamp[-1],
(constants.ECON1 + constants.DX +
":" + str(diagnostic_msg))))
self.results_publish.append(
constants.table_publish_format(
self.analysis_name, self.timestamp[-1],
(constants.ECON1 + constants.DX), diagnostic_msg))
self.clear_data()
return True
else:
self.clear_data()
return False
def scrape_ending(self, topic):
if not self.scalability_test:
return
try:
self.waiting_to_finish.remove(topic)
except KeyError:
_log.warning(topic + " published twice before test finished, increase the length of scrape interval and rerun test")
if not self.waiting_to_finish:
end = datetime.now()
delta = end - self.current_test_start
delta = delta.total_seconds()
self.test_results.append(delta)
self.test_iterations += 1
_log.info("publish {} took {} seconds".format(self.test_iterations, delta))
if self.test_iterations >= self.scalability_test_iterations:
#Test is now over. Button it up and shutdown.
mean = math_utils.mean(self.test_results)
stdev = math_utils.stdev(self.test_results)
_log.info("Mean total publish time: "+str(mean))
_log.info("Std dev publish time: "+str(stdev))
sys.exit(0)
def insufficient_oa(self):
"""If the detected problems(s) are consistent then generate a fault message(s).
No return
"""
oaf = [(mat - rat) / (oat - rat) for oat, rat, mat in zip(self.oat_values, self.rat_values, self.mat_values)]
avg_oaf = mean(oaf) * 100.0
diagnostic_msg = {}
if avg_oaf < 0 or avg_oaf > 125.0:
msg = ("{}: Inconclusive result, the OAF calculation led to an "
"unexpected value: {}".format(constants.ECON5, avg_oaf))
_log.info(msg)
_log.info(constants.table_log_format(self.analysis_name, self.timestamp[-1], (constants.ECON5 + constants.DX + ":" + str(self.invalid_oaf_dict))))
self.results_publish.append(constants.table_publish_format(self.analysis_name, self.timestamp[-1], (constants.ECON5 + constants.DX), self.invalid_oaf_dict))
self.clear_data()
return
avg_oaf = max(0.0, min(100.0, avg_oaf))
for sensitivity, threshold in self.ventilation_oaf_threshold.items():
if self.desired_oaf - avg_oaf > threshold:
msg = "{}: Insufficient OA is being provided for ventilation - sensitivity: {}".format(constants.ECON5, sensitivity)
result = 43.1
else:
msg = "{}: The calculated OAF was within acceptable limits - sensitivity: {}".format(constants.ECON5, sensitivity)
result = 40.0
_log.info(msg)
diagnostic_msg.update({sensitivity: result})
_log.info(constants.table_log_format(self.analysis_name, self.timestamp[-1], (constants.ECON5 + constants.DX + ":" + str(diagnostic_msg))))
self.results_publish.append(constants.table_publish_format(self.analysis_name, self.timestamp[-1], (constants.ECON5 + constants.DX), diagnostic_msg))
self.clear_data()
def economizing_when_not_needed(self):
"""If the detected problems(s) are consistent then generate a fault message(s).
No return
"""
desired_oaf = self.desired_oaf / 100.0
avg_damper = mean(self.oad_values)
diagnostic_msg = {}
energy_impact = {}
for sensitivity, threshold in self.excess_damper_threshold.items():
if avg_damper > threshold:
msg = "{} - {}: {}".format(constants.ECON3, sensitivity, self.alg_result_messages[0])
# color_code = "RED"
result = 21.1
energy = self.energy_impact_calculation(desired_oaf)
else:
msg = "{} - {}: {}".format(constants.ECON3, sensitivity, self.alg_result_messages[1])
# color_code = "GREEN"
result = 20.0
energy = 0.0
_log.info(msg)
diagnostic_msg.update({sensitivity: result})
energy_impact.update({sensitivity: energy})
_log.info(constants.table_log_format(self.analysis_name, self.timestamp[-1], (constants.ECON3 + constants.DX + ":" + str(diagnostic_msg))))
self.results_publish.append(constants.table_publish_format(self.analysis_name, self.timestamp[-1], (constants.ECON3 + constants.DX), diagnostic_msg))
_log.info(constants.table_log_format(self.analysis_name, self.timestamp[-1], (constants.ECON3 + constants.EI + ":" + str(energy_impact))))
self.results_publish.append(constants.table_publish_format(self.analysis_name, self.timestamp[-1], (constants.ECON3 + constants.EI), energy_impact))
self.clear_data()
def check_fan_status(self, current_time):
"""Check the status and speed of the fan
current_time: datetime time delta
return int
"""
if self.fan_status_data:
supply_fan_status = int(max(self.fan_status_data))
else:
supply_fan_status = None
if self.fan_sp_data:
self.fan_speed = mean(self.fan_sp_data)
else:
self.fan_speed = None
if supply_fan_status is None:
if self.fan_speed > self.low_sf_thr:
supply_fan_status = 1
else:
supply_fan_status = 0
if not supply_fan_status:
if self.unit_status is None:
self.unit_status = current_time
else:
self.unit_status = None
return supply_fan_status
def check_prerequisites(self):
"""Evaluate realtime data to determine if the diagnostic
prerequisites are met. If this function returns False the
diagnostics in the diagnostic list will not run.
:return: bool
"""
if self.prerequisites_data_required:
avg_data = []
prerequisite_eval_list = []
for key, value in self.prerequisites_data_required.items():
try:
avg_data.append((key, mean(value)))
except ValueError as ex:
LOG.warning("Exception prerequisites %s", ex)
LOG.warning(
"Not enough data to verify "
"diagnostic prerequisites: %s", key)
return False
for condition in self.prerequisites_expr_list:
evaluation = condition.subs(avg_data)
prerequisite_eval_list.append(evaluation)
LOG.debug("Prerequisite %s evaluation: %s", condition,
evaluation)
if prerequisite_eval_list:
if False in prerequisite_eval_list:
return False
return True
return True
def economizing_when_not_needed(self, dx_result, table_key):
"""
If the detected problems(s) are consistent then generate a
fault message(s).
:param dx_result:
:param table_key:
:return:
"""
desired_oaf = self.desired_oaf / 100.0
avg_damper = mean(self.oad_values)
diagnostic_msg = {}
energy_impact = {}
for key, threshold in self.excess_damper_threshold.items():
if avg_damper - self.min_damper_sp > threshold:
msg = "{}: {} - sensitivity: {}".format(
ECON3, self.alg_result_messages[0], key)
# color_code = "RED"
result = 21.1
energy = self.energy_impact_calculation(desired_oaf)
else:
msg = "{}: {} - sensitivity: {}".format(
ECON3, self.alg_result_messages[1], key)
# color_code = "GREEN"
result = 20.0
energy = 0.0
dx_result.log(msg)
diagnostic_msg.update({key: result})
energy_impact.update({key: energy})
dx_table = {ECON3 + DX: diagnostic_msg, ECON3 + EI: energy_impact}
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
def economizing_when_not_needed(self, dx_result, table_key):
"""
If the detected problems(s) are consistent then generate a
fault message(s).
:param dx_result:
:param table_key:
:return:
"""
desired_oaf = self.desired_oaf / 100.0
avg_damper = mean(self.oad_values)
diagnostic_msg = {}
energy_impact = {}
for sensitivity, threshold in self.excess_damper_threshold.items():
if avg_damper > threshold:
msg = "{} - {}: {}".format(ECON3, sensitivity, self.alg_result_messages[0])
# color_code = "RED"
result = 21.1
energy = self.energy_impact_calculation(desired_oaf)
else:
msg = "{} - {}: {}".format(ECON3, sensitivity, self.alg_result_messages[1])
# color_code = "GREEN"
result = 20.0
energy = 0.0
dx_result.log(msg)
diagnostic_msg.update({sensitivity: result})
energy_impact.update({sensitivity: energy})
dx_table = {
ECON3 + DX: diagnostic_msg,
ECON3 + EI: energy_impact
}
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
def scrape_ending(self, topic):
if not self.scalability_test:
return
try:
self.waiting_to_finish.remove(topic)
except KeyError:
_log.warning(
topic +
" published twice before test finished, increase the length of scrape interval and rerun test"
)
if not self.waiting_to_finish:
end = datetime.now()
delta = end - self.current_test_start
delta = delta.total_seconds()
self.test_results.append(delta)
self.test_iterations += 1
_log.info("publish {} took {} seconds".format(
self.test_iterations, delta))
if self.test_iterations >= self.scalability_test_iterations:
#Test is now over. Button it up and shutdown.
mean = math_utils.mean(self.test_results)
stdev = math_utils.stdev(self.test_results)
_log.info("Mean total publish time: " + str(mean))
_log.info("Std dev publish time: " + str(stdev))
sys.exit(0)
def low_sat(self, dx_result, avg_sat_stpt):
"""Diagnostic to identify and correct low supply-air temperature
(correction by modifying SAT set point)
"""
avg_zones_rht = mean(self.percent_rht)*100
rht_avg = mean(self.rht_arr)
if rht_avg > self.rht_valve_thr and avg_zones_rht > self.percent_rht_thr:
if avg_sat_stpt is None:
# Create diagnostic message for fault
# when supply-air temperature set point
# is not available.
msg = ('The SAT has been detected to be too low but '
'but supply-air temperature set point data '
'is not available.')
dx_msg = 43.1
elif self.auto_correct_flag:
autocorrect_sat_stpt = avg_sat_stpt + self.sat_retuning
if autocorrect_sat_stpt <= self.max_sat_stpt:
dx_result.command(self.sat_stpt_cname, autocorrect_sat_stpt)
sat_stpt = '%s' % float('%.2g' % autocorrect_sat_stpt)
msg = ('The SAT has been detected to be too low. '
'The SAT set point has been increased to: '
'{}{}F'.format(self.dgr_sym, sat_stpt))
dx_msg = 41.1
else:
dx_result.command(self.sat_stpt_cname, self.max_sat_stpt)
sat_stpt = '%s' % float('%.2g' % self.max_sat_stpt)
sat_stpt = str(sat_stpt)
msg = (
'The supply-air temperautre was detected to be '
'too low. Auto-correction has increased the '
'supply-air temperature set point to the maximum '
'configured supply-air tempeature set point: '
'{}{}F)'.format(self.dgr_sym, sat_stpt))
dx_msg = 42.1
else:
msg = ('The SAT has been detected to be too low but'
'auto-correction is not enabled.')
dx_msg = 44.1
else:
msg = ('No problem detected for Low Supply-air '
'Temperature diagnostic.')
dx_msg = 40.0
self.dx_table.update({SA_TEMP_RCX1 + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def low_sat(self, dx_result, avg_sat_stpt):
"""Diagnostic to identify and correct low supply-air temperature
(correction by modifying SAT set point)
"""
avg_zones_rht = mean(self.percent_rht) * 100
rht_avg = mean(self.rht_arr)
if rht_avg > self.rht_valve_thr and avg_zones_rht > self.percent_rht_thr:
if avg_sat_stpt is None:
# Create diagnostic message for fault
# when supply-air temperature set point
# is not available.
msg = ('The SAT has been detected to be too low but '
'but supply-air temperature set point data '
'is not available.')
dx_msg = 43.1
elif self.auto_correct_flag:
autocorrect_sat_stpt = avg_sat_stpt + self.sat_retuning
if autocorrect_sat_stpt <= self.max_sat_stpt:
dx_result.command(self.sat_stpt_cname,
autocorrect_sat_stpt)
sat_stpt = '%s' % float('%.2g' % autocorrect_sat_stpt)
msg = ('The SAT has been detected to be too low. '
'The SAT set point has been increased to: '
'{}{}F'.format(self.dgr_sym, sat_stpt))
dx_msg = 41.1
else:
dx_result.command(self.sat_stpt_cname, self.max_sat_stpt)
sat_stpt = '%s' % float('%.2g' % self.max_sat_stpt)
sat_stpt = str(sat_stpt)
msg = ('The supply-air temperautre was detected to be '
'too low. Auto-correction has increased the '
'supply-air temperature set point to the maximum '
'configured supply-air tempeature set point: '
'{}{}F)'.format(self.dgr_sym, sat_stpt))
dx_msg = 42.1
else:
msg = ('The SAT has been detected to be too low but'
'auto-correction is not enabled.')
dx_msg = 44.1
else:
msg = ('No problem detected for Low Supply-air '
'Temperature diagnostic.')
dx_msg = 40.0
self.dx_table.update({SA_TEMP_RCX1 + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def high_stcpr_aircx(self, avg_stcpr_stpt):
"""
AIRCx to identify and correct high duct static pressure.
:param avg_stcpr_stpt::
:return:
"""
high_sf_condition = True if sum(self.high_sf_condition) / len(
self.high_sf_condition) > 0.5 else False
dmpr_high_avg = mean(self.hs_dmpr_high_avg)
diagnostic_msg = {}
for key, hdzn_dmpr_thr in self.hdzn_dmpr_thr.items():
if dmpr_high_avg <= hdzn_dmpr_thr:
if high_sf_condition is not None and high_sf_condition:
msg = "{} - duct static pressure too high. Supply fan at minimum.".format(
key)
result = 25.1
elif avg_stcpr_stpt is None:
# Create diagnostic message for fault
# when duct static pressure set point
# is not available.
msg = "{} - duct static pressure is too high but set point data is not available.".format(
key)
result = 24.1
elif self.auto_correct_flag and self.auto_correct_flag == key:
aircx_stcpr_stpt = avg_stcpr_stpt - self.stcpr_retuning
if aircx_stcpr_stpt >= self.min_stcpr_stpt:
self.send_autocorrect_command(self.stcpr_stpt_cname,
aircx_stcpr_stpt)
stcpr_stpt = "%s" % float("%.2g" % aircx_stcpr_stpt)
stcpr_stpt = stcpr_stpt + " in. w.g."
msg = "{} - duct static pressure too high. Set point decreased to: {}".format(
key, stcpr_stpt)
result = 21.1
else:
self.send_autocorrect_command(self.stcpr_stpt_cname,
self.min_stcpr_stpt)
stcpr_stpt = "%s" % float("%.2g" % self.min_stcpr_stpt)
stcpr_stpt = stcpr_stpt + " in. w.g."
msg = "{} - duct static pressure too high. Set point decreased to min {}.".format(
key, stcpr_stpt)
result = 22.1
else:
msg = "{} - duct static pressure is too high but auto-correction is not enabled.".format(
key)
result = 23.1
else:
msg = "{} - No retuning opportunities detected for high duct static pressure diagnostic.".format(
key)
result = 20.0
diagnostic_msg.update({key: result})
_log.info(msg)
_log.info(
common.table_log_format(
self.timestamp_array[-1],
(DUCT_STC_RCX2 + DX + ": " + str(diagnostic_msg))))
self.publish_results(self.timestamp_array[-1], DUCT_STC_RCX2 + DX,
diagnostic_msg)
def aggregate_data(self):
""" Calculate averages used for calculations within the class. Needs oat, mat,rat values set in class
return
avg_oa_ma: float
avg_ra_ma: float
avg_ma_oa: float
avg_ma_ra: float
"""
oa_ma = [(x - y) for x, y in zip(self.oat_values, self.mat_values)]
ra_ma = [(x - y) for x, y in zip(self.rat_values, self.mat_values)]
ma_oa = [(y - x) for x, y in zip(self.oat_values, self.mat_values)]
ma_ra = [(y - x) for x, y in zip(self.rat_values, self.mat_values)]
avg_oa_ma = mean(oa_ma)
avg_ra_ma = mean(ra_ma)
avg_ma_oa = mean(ma_oa)
avg_ma_ra = mean(ma_ra)
return avg_oa_ma, avg_ra_ma, avg_ma_oa, avg_ma_ra
def setpoint_reset_aircx(self, current_time, current_fan_status, stcpr_stpt_data, sat_stpt_data, dx_result):
"""
Main function for set point reset AIRCx - manages data arrays checks AIRCx run status.
:param current_time:
:param current_fan_status:
:param stcpr_stpt_data:
:param sat_stpt_data:
:param dx_result:
:return:
"""
stcpr_run_status = check_run_status(self.timestamp_array, current_time, self.no_req_data,
run_schedule="daily", minimum_point_array=self.stcpr_stpt_array)
if not self.timestamp_array:
return dx_result
self.reset_table_key = reset_name = create_table_key(self.analysis, self.timestamp_array[0])
if stcpr_run_status is None:
dx_result.log("{} - Insufficient data to produce - {}".format(current_time, DUCT_STC_RCX3))
dx_result = pre_conditions(INSUFFICIENT_DATA, [DUCT_STC_RCX3], reset_name, current_time, dx_result)
self.stcpr_stpt_array = []
elif stcpr_run_status:
dx_result = self.no_static_pr_reset(dx_result)
self.stcpr_stpt_array = []
sat_run_status = check_run_status(self.timestamp_array, current_time, self.no_req_data,
run_schedule="daily", minimum_point_array=self.sat_stpt_array)
if sat_run_status is None:
dx_result.log("{} - Insufficient data to produce - {}".format(current_time, SA_TEMP_RCX3))
dx_result = pre_conditions(INSUFFICIENT_DATA, [SA_TEMP_RCX3], reset_name, current_time, dx_result)
self.sat_stpt_array = []
self.timestamp_array = []
elif sat_run_status:
dx_result = self.no_sat_stpt_reset(dx_result)
self.sat_stpt_array = []
self.timestamp_array = []
if current_fan_status:
if stcpr_stpt_data:
self.stcpr_stpt_array.append(mean(stcpr_stpt_data))
if sat_stpt_data:
self.sat_stpt_array.append(mean(sat_stpt_data))
return dx_result
def not_economizing_when_needed(self, dx_result, table_key):
"""
If the detected problems(s) are consistent then generate a fault
message(s).
:param dx_result:
:param table_key:
:return:
"""
oaf = [(m - r) / (o - r) for o, r, m in zip(
self.oat_values, self.rat_values, self.mat_values)]
avg_oaf = max(0.0, min(100.0, mean(oaf) * 100.0))
avg_damper_signal = mean(self.oad_values)
diagnostic_msg = {}
energy_impact = {}
thresholds = zip(self.open_damper_threshold.items(),
self.oaf_economizing_threshold.items())
for (key, damper_thr), (key2, oaf_thr) in thresholds:
if avg_damper_signal - self.minimum_damper_setpoint < damper_thr:
msg = "{}: {} - sensitivity: {}".format(
ECON2, self.alg_result_messages[0], key)
# color_code = "RED"
result = 11.1
energy = self.energy_impact_calculation()
else:
if 100.0 - avg_oaf <= oaf_thr:
msg = "{}: {} - sensitivity: {}".format(
ECON2, self.alg_result_messages[1], key)
# color_code = "GREEN"
result = 10.0
energy = 0.0
else:
msg = "{}: {} --OAF: {} - sensitivity: {}".format(
ECON2, self.alg_result_messages[2], avg_oaf, key)
# color_code = "RED"
result = 12.1
energy = self.energy_impact_calculation()
dx_result.log(msg)
diagnostic_msg.update({key: result})
energy_impact.update({key: energy})
dx_table = {ECON2 + DX: diagnostic_msg, ECON2 + EI: energy_impact}
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
def unocc_fan_operation(self, dx_result):
"""If the AHU/RTU is operating during unoccupied periods inform the
building operator.
"""
avg_duct_stcpr = 0
percent_on = 0
fanstat_on = [(fan[0].hour, fan[1]) for fan in self.fanstat_values if int(fan[1]) == 1]
fanstat = [(fan[0].hour, fan[1]) for fan in self.fanstat_values]
hourly_counter = []
for counter in range(24):
fan_on_count = [fan_status_time[1] for fan_status_time in fanstat_on if fan_status_time[0] == counter]
fan_count = [fan_status_time[1] for fan_status_time in fanstat if fan_status_time[0] == counter]
if len(fan_count):
hourly_counter.append(fan_on_count.count(1)/len(fan_count)*100)
else:
hourly_counter.append(0)
if self.sched_time:
if self.fanstat_values:
percent_on = (len(fanstat_on)/len(self.fanstat_values)) * 100.0
if self.stcpr_arr:
avg_duct_stcpr = mean(self.stcpr_arr)
if percent_on > self.unocc_time_threshold:
msg = 'Supply fan is on during unoccupied times.'
dx_msg = 63.1
else:
if avg_duct_stcpr < self.unocc_stp_threshold:
msg = 'No problems detected for schedule diagnostic.'
dx_msg = 60.0
else:
msg = ('Fan status show the fan is off but the duct static '
'pressure is high, check the functionality of the '
'pressure sensor.')
dx_msg = 64.2
else:
msg = 'No problems detected for schedule diagnostic.'
dx_msg = 60.0
if dx_msg != 64.2:
for _hour in range(24):
push_time = self.timestamp[0].date()
push_time = datetime.combine(push_time, datetime.min.time())
push_time = push_time.replace(hour=_hour)
dx_table = {SCHED_RCX + DX: 60.0}
if hourly_counter[_hour] > self.unocc_time_threshold:
dx_table = {SCHED_RCX + DX: dx_msg}
table_key = create_table_key(self.sched_file_name_id, push_time)
dx_result.insert_table_row(table_key, dx_table)
else:
push_time = self.timestamp[0].date()
table_key = create_table_key(self.sched_file_name_id, push_time)
dx_result.insert_table_row(table_key, {SCHED_RCX + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def high_stcpr_dx(self, dx_result, avg_stcpr_stpt):
"""Diagnostic to identify and correct high duct static pressure
(correction by modifying duct static pressure set point)
"""
zn_dmpr = deepcopy(self.zn_dmpr_arr)
zn_dmpr.sort(reverse=True)
zn_dmpr = zn_dmpr[:int(math.ceil(len(self.zn_dmpr_arr) * 0.5)
) if len(self.zn_dmpr_arr) != 1 else 1]
avg_zone_damper = mean(zn_dmpr)
if avg_zone_damper <= self.hdzn_dmpr_thr:
if avg_stcpr_stpt is None:
# Create diagnostic message for fault
# when duct static pressure set point
# is not available.
msg = ('The duct static pressure set point has been '
'detected to be too high but but duct static '
'pressure set point data is not available.'
'temperature set point data is not available.')
dx_msg = 24.1
elif self.auto_correct_flag:
auto_correct_stcpr_stpt = avg_stcpr_stpt - self.stcpr_retuning
if auto_correct_stcpr_stpt >= self.min_stcpr_stpt:
dx_result.command(self.stcpr_stpt_cname,
auto_correct_stcpr_stpt)
new_stcpr_stpt = '%s' % float(
'%.2g' % auto_correct_stcpr_stpt)
new_stcpr_stpt = new_stcpr_stpt + ' in. w.g.'
msg = ('The duct static pressure was detected to be '
'too high. The duct static pressure set point '
'has been reduced to: {}'.format(new_stcpr_stpt))
dx_msg = 21.1
else:
dx_result.command(self.stcpr_stpt_cname,
self.min_stcpr_stpt)
new_stcpr_stpt = '%s' % float('%.2g' % self.min_stcpr_stpt)
new_stcpr_stpt = new_stcpr_stpt + ' in. w.g.'
msg = ('The duct static pressure set point is at the '
'minimum value configured by the building '
'operator: {})'.format(new_stcpr_stpt))
dx_msg = 22.1
else:
msg = ('Duct static pressure set point was detected to be '
'too high but auto-correction is not enabled.')
dx_msg = 23.1
else:
msg = (
'No re-tuning opportunity was detected during the high duct '
'static pressure diagnostic.')
dx_msg = 20.0
self.dx_table.update({DUCT_STC_RCX2 + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def not_economizing_when_needed(self, dx_result, table_key):
"""
If the detected problems(s) are consistent then generate a fault
message(s).
:param dx_result:
:param table_key:
:return:
"""
oaf = [(m - r) / (o - r) for o, r, m in zip(self.oat_values, self.rat_values, self.mat_values)]
avg_oaf = max(0.0, min(100.0, mean(oaf)*100.0))
avg_damper_signal = mean(self.oad_values)
diagnostic_msg = {}
energy_impact = {}
thresholds = zip(self.open_damper_threshold.items(), self.oaf_economizing_threshold.items())
for (key, damper_thr), (key2, oaf_thr) in thresholds:
if avg_damper_signal < damper_thr:
msg = "{} - {}: {}".format(ECON2, key, self.alg_result_messages[0])
# color_code = "RED"
result = 11.1
energy = self.energy_impact_calculation()
else:
if avg_oaf < oaf_thr:
msg = "{} - {}: {} - OAF={}".format(ECON2, key, self.alg_result_messages[2], avg_oaf)
# color_code = "RED"
result = 12.1
energy = self.energy_impact_calculation()
else:
msg = "{} - {}: {}".format(ECON2, key, self.alg_result_messages[1])
# color_code = "GREEN"
result = 10.0
energy = 0.0
dx_result.log(msg)
diagnostic_msg.update({key: result})
energy_impact.update({key: energy})
dx_table = {
ECON2 + DX: diagnostic_msg,
ECON2 + EI: energy_impact
}
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
def init_outputs(self, outputs):
for output_info in outputs:
# Topic to subscribe to for data (currently data format must be
# consistent with a MasterDriverAgent all publish)
topic = output_info["topic"]
# Point name from as published by MasterDriverAgent
point = output_info.pop("point")
mapped = output_info.pop("mapped")
# Options for release are None or default
# None assumes BACnet release via priority array
# default will safe original value, at start of agent run for control restoration
# TODO: Update release value anytime agent has state transition for actuation_enable
release = output_info.get("release", None)
# Constant offset to apply to apply to determined actuation value
offset = output_info.get("offset", 0.0)
# VIP identity of Actuator to call via RPC to perform control of device
actuator = output_info.get("actuator", "platform.actuator")
# This is the flexibility range for the market commodity the
# transactive agent will utilize
flex = output_info["flexibility_range"]
# This is the flexibility of the control point, by default the same as the
# market commodity but not necessarily
ct_flex = output_info.get("control_flexibility", flex)
ct_flex, flex = self.set_control(ct_flex, flex)
self.ct_flexibility = ct_flex
fallback = output_info.get("fallback", mean(ct_flex))
# TODO: Use condition to determine multiple output scenario
condition = output_info.get("condition", True)
try:
value = self.vip.rpc.call(actuator, 'get_point',
topic).get(timeout=10)
except (RemoteError, gevent.Timeout, errors.VIPError) as ex:
_log.warning("Failed to get {} - ex: {}".format(
topic, str(ex)))
value = fallback
if isinstance(release, str) and release.lower(
) == "default" and value is not None:
release_value = value
else:
release_value = None
off_setpoint = output_info.get("off_setpoint", value)
self.outputs[mapped] = {
"point": point,
"topic": topic,
"actuator": actuator,
"release": release_value,
"value": value,
"off_setpoint": off_setpoint,
"offset": offset,
"flex": flex,
"ct_flex": ct_flex,
"condition": condition
}
def high_stcpr_dx(self, dx_result, avg_stcpr_stpt):
"""Diagnostic to identify and correct high duct static pressure
(correction by modifying duct static pressure set point)
"""
zn_dmpr = deepcopy(self.zn_dmpr_arr)
zn_dmpr.sort(reverse=True)
zn_dmpr = zn_dmpr[:int(math.ceil(len(self.zn_dmpr_arr)*0.5))if len(self.zn_dmpr_arr) != 1 else 1]
avg_zone_damper = mean(zn_dmpr)
if avg_zone_damper <= self.hdzn_dmpr_thr:
if avg_stcpr_stpt is None:
# Create diagnostic message for fault
# when duct static pressure set point
# is not available.
msg = ('The duct static pressure set point has been '
'detected to be too high but but duct static '
'pressure set point data is not available.'
'temperature set point data is not available.')
dx_msg = 24.1
elif self.auto_correct_flag:
auto_correct_stcpr_stpt = avg_stcpr_stpt - self.stcpr_retuning
if auto_correct_stcpr_stpt >= self.min_stcpr_stpt:
dx_result.command(self.stcpr_stpt_cname, auto_correct_stcpr_stpt)
new_stcpr_stpt = '%s' % float('%.2g' % auto_correct_stcpr_stpt)
new_stcpr_stpt = new_stcpr_stpt + ' in. w.g.'
msg = ('The duct static pressure was detected to be '
'too high. The duct static pressure set point '
'has been reduced to: {}'
.format(new_stcpr_stpt))
dx_msg = 21.1
else:
dx_result.command(self.stcpr_stpt_cname, self.min_stcpr_stpt)
new_stcpr_stpt = '%s' % float('%.2g' % self.min_stcpr_stpt)
new_stcpr_stpt = new_stcpr_stpt + ' in. w.g.'
msg = ('The duct static pressure set point is at the '
'minimum value configured by the building '
'operator: {})'.format(new_stcpr_stpt))
dx_msg = 22.1
else:
msg = ('Duct static pressure set point was detected to be '
'too high but auto-correction is not enabled.')
dx_msg = 23.1
else:
msg = ('No re-tuning opportunity was detected during the high duct '
'static pressure diagnostic.')
dx_msg = 20.0
self.dx_table.update({DUCT_STC_RCX2 + DX: dx_msg})
dx_result.log(msg, logging.INFO)
return dx_result
def econ_alg(self, dx_result, oat, mat, oad, cur_time):
"""
Check diagnostic prerequisites and manage data arrays.
:param dx_result:
:param oat:
:param mat:
:param oad:
:param cur_time:
:return:
"""
if oad > self.oad_temperature_threshold:
if self.steady_state is None:
self.steady_state = cur_time
elif cur_time - self.steady_state >= self.econ_time_check:
self.oat_values.append(oat)
self.mat_values.append(mat)
self.timestamp.append(cur_time)
else:
self.steady_state = None
elapsed_time = self.timestamp[-1] - self.timestamp[0] if self.timestamp else td(minutes=0)
if elapsed_time >= self.data_window:
if len(self.oat_values) > self.no_required_data:
mat_oat_diff_list = [abs(x - y) for x, y in zip(self.oat_values, self.mat_values)]
open_damper_check = mean(mat_oat_diff_list)
table_key = create_table_key(self.analysis, self.timestamp[-1])
diagnostic_msg = {}
for sensitivity, threshold in self.oat_mat_check.items():
if open_damper_check > threshold:
msg = "{} - {}: OAT and MAT are inconsistent when OAD is near 100%".format(ECON1, sensitivity)
result = 0.1
else:
msg = "{} - {}: OAT and MAT are consistent when OAD is near 100%".format(ECON1, sensitivity)
result = 0.0
diagnostic_msg.update({sensitivity: result})
dx_result.log(msg)
dx_table = {ECON1 + DX: diagnostic_msg}
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
def publish_to_historian(self, to_publish_list):
for item in to_publish_list:
if self._gather_timing_data:
turnaround_time = add_timing_data_to_header(item["headers"],
self.core.agent_uuid or self.core.identity,
"published")
self._turnaround_times.append(turnaround_time)
if len(self._turnaround_times) > 10000:
# Test is now over. Button it up and shutdown.
mean = math_utils.mean(self._turnaround_times)
stdev = math_utils.stdev(self._turnaround_times)
_log.info("Mean time from collection to publish: " + str(mean))
_log.info("Std dev time from collection to publish: " + str(stdev))
self._turnaround_times = []
#_log.debug("publishing {}".format(item))
_log.debug("recieved {} items to publish"
.format(len(to_publish_list)))
self.report_all_handled()
def calculate_average_power(self, current_power, current_time):
"""
Calculate the average power.
:param current_power:
:param current_time:
:return:
"""
if self.simulation_running:
self.check_schedule(current_time)
if self.bldg_power:
current_average_window = self.bldg_power[-1][0] - self.bldg_power[0][0] + td(seconds=15)
else:
current_average_window = td(minutes=0)
if current_average_window >= self.average_building_power_window and current_power > 0:
self.bldg_power.append((current_time, current_power))
self.bldg_power.pop(0)
elif current_power > 0:
self.bldg_power.append((current_time, current_power))
smoothing_constant = 2.0/(len(self.bldg_power) + 1.0)*2.0 if self.bldg_power else 1.0
smoothing_constant = smoothing_constant if smoothing_constant <= 1.0 else 1.0
power_sort = list(self.bldg_power)
power_sort.sort(reverse=True)
average_power = 0
for n in xrange(len(self.bldg_power)):
average_power += power_sort[n][1] * smoothing_constant * (1.0 - smoothing_constant) ** n
norm_list = [float(i[1]) for i in self.bldg_power]
normal_average_power = mean(norm_list) if norm_list else 0.0
_log.debug("Reported time: {} - instantaneous power: {}".format(current_time, current_power))
_log.debug(
"{} minute average power: {} - exponential power: {}".format(current_average_window, normal_average_power,
average_power))
return average_power, normal_average_power, current_average_window
def insufficient_oa(self, dx_result, table_key):
"""
If the detected problems(s) are
consistent generate a fault message(s).
:param dx_result:
:param cur_time:
:param table_key:
:return:
"""
oaf = [(m - r) / (o - r) for o, r, m in zip(self.oat_values, self.rat_values, self.mat_values)]
avg_oaf = mean(oaf) * 100.0
diagnostic_msg = {}
if avg_oaf < 0 or avg_oaf > 125.0:
msg = ("{}: Inconclusive result, the OAF calculation led to an "
"unexpected value: {}".format(ECON5, avg_oaf))
# color_code = "GREY"
dx_table = {ECON5 + DX: self.invalid_oaf_dict}
dx_result.log(msg)
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
avg_oaf = max(0.0, min(100.0, avg_oaf))
for sensitivity, threshold in self.ventilation_oaf_threshold.items():
if self.desired_oaf - avg_oaf > threshold:
msg = "{}: Insufficient OA is being provided for ventilation - sensitivity: {}".format(ECON5, sensitivity)
result = 43.1
else:
msg = "{}: The calculated OAF was within acceptable limits - sensitivity: {}".format(ECON5, sensitivity)
result = 40.0
dx_result.log(msg)
diagnostic_msg.update({sensitivity: result})
dx_table = {ECON5 + DX: diagnostic_msg}
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
def setpoint_control_check(set_point_array, point_array, setpoint_deviation_threshold, dx_name, dx_offset, dx_result):
"""
Verify that point if tracking with set point - identify potential control or sensor problems.
:param set_point_array:
:param point_array:
:param allowable_deviation:
:param dx_name:
:param dx_offset:
:param dx_result:
:return:
"""
avg_set_point = None
diagnostic_msg = {}
for key, threshold in setpoint_deviation_threshold.items():
if set_point_array:
avg_set_point = sum(set_point_array)/len(set_point_array)
zipper = (set_point_array, point_array)
set_point_tracking = [abs(x - y) for x, y in zip(*zipper)]
set_point_tracking = mean(set_point_tracking)/avg_set_point*100.
if set_point_tracking > threshold:
# color_code = 'red'
msg = '{} - {}: point deviating significantly from set point.'.format(key, dx_name)
result = 1.1 + dx_offset
else:
# color_code = 'green'
msg = " {} - No problem detected for {} set".format(key, dx_name)
result = 0.0 + dx_offset
else:
# color_code = 'grey'
msg = "{} - {} set point data is not available.".format(key, dx_name)
result = 2.2 + dx_offset
dx_result.log(msg)
diagnostic_msg.update({key: result})
dx_table = {dx_name + DX: diagnostic_msg}
return avg_set_point, dx_table, dx_result
def run(self, cur_time, points):
device_dict = {}
dx_result = Results()
fan_status_data = []
supply_fan_off = False
low_dx_cond = False
high_dx_cond = False
for key, value in points.items():
point_device = [_name.lower() for _name in key.split('&')]
if point_device[0] not in device_dict:
device_dict[point_device[0]] = [(point_device[1], value)]
else:
device_dict[point_device[0]].append((point_device[1], value))
if self.fan_status_name in device_dict:
fan_status = device_dict[self.fan_status_name]
fan_status = [point[1] for point in fan_status]
fan_status = [status for status in fan_status if status is not None]
if fan_status_data:
fan_status_data.append(min(fan_status))
if not int(fan_status_data[0]):
supply_fan_off = True
self.warm_up_flag = True
if self.fansp_name in device_dict:
fan_speed = device_dict[self.fansp_name]
fan_speed = mean([point[1] for point in fan_speed])
if self.fan_status_name is None:
if not int(fan_speed):
supply_fan_off = True
self.warm_up_flag = True
fan_status_data.append(bool(int(fan_speed)))
if fan_speed > self.high_sf_threshold:
low_dx_cond = True
elif fan_speed < self.low_sf_threshold:
high_dx_cond = True
stc_pr_data = []
stcpr_sp_data = []
zn_dmpr_data = []
satemp_data = []
rht_data = []
sat_stpt_data = []
validate = {}
sched_val = {}
def validate_builder(value_tuple, point_name):
value_list = []
for item in value_tuple:
tag = item[0] + '/' + point_name
validate.update({tag: item[1]})
value_list.append(item[1])
return value_list
for key, value in device_dict.items():
data_name = key
if value is None:
continue
if data_name == self.duct_stp_stpt_name:
stcpr_sp_data = validate_builder(value, data_name)
sched_val.update(validate)
elif data_name == self.sat_stpt_name:
sat_stpt_data = validate_builder(value, data_name)
sched_val.update(validate)
elif data_name == self.duct_stp_name:
sched_val.update(validate)
stc_pr_data = validate_builder(value, data_name)
sched_val.update(validate)
elif data_name == self.sa_temp_name:
satemp_data = validate_builder(value, data_name)
sched_val.update(validate)
elif data_name == self.zone_reheat_name:
rht_data = validate_builder(value, data_name)
elif data_name == self.zone_damper_name:
zn_dmpr_data = validate_builder(value, data_name)
missing_data = []
if not satemp_data:
missing_data.append(self.sa_temp_name)
if not rht_data:
missing_data.append(self.zone_reheat_name)
if not sat_stpt_data:
dx_result.log('Supply-air temperature set point data is '
'missing. This will limit the effectiveness of '
'the supply-air temperature diagnostics.')
if not stc_pr_data:
missing_data.append(self.duct_stp_name)
if not stcpr_sp_data:
dx_result.log('Duct static pressure set point data is '
'missing. This will limit the effectiveness of '
'the duct static pressure diagnostics.')
if not zn_dmpr_data:
missing_data.append(self.zone_damper_name)
if not fan_status:
missing_data.append(self.fan_status_name)
if missing_data:
raise Exception('Missing required data: {}'.format(missing_data))
return dx_result
dx_result = (
self.sched_occ_dx.sched_rcx_alg(cur_time, stc_pr_data,
stcpr_sp_data, sat_stpt_data,
fan_status, dx_result,
sched_val))
if supply_fan_off:
dx_result.log('Supply fan is off. Data will not be used for '
'retuning diagnostics.')
return dx_result
if self.warm_up_flag:
self.warm_up_flag = False
self.warm_up_start = cur_time
return dx_result
time_check = td(minutes=self.warm_up_time)
if (self.warm_up_start is not None and
(cur_time - self.warm_up_start) < time_check):
dx_result.log('Unit is in warm-up. Data will not be analyzed.')
return dx_result
dx_result = (
self.static_dx.duct_static(cur_time, stcpr_sp_data, stc_pr_data,
zn_dmpr_data, low_dx_cond, high_dx_cond,
dx_result, validate))
dx_result = (
self.sat_dx.sat_rcx(cur_time, satemp_data, sat_stpt_data, rht_data,
zn_dmpr_data, dx_result, validate))
return dx_result
def unocc_fan_operation(self, dx_result):
"""
AIRCx to determine if AHU is operating excessively in unoccupied mode.
:param dx_result:
:return:
"""
avg_duct_stcpr = 0
percent_on = 0
fan_status_on = [(fan[0].hour, fan[1]) for fan in self.fan_status_array if int(fan[1]) == 1]
fanstat = [(fan[0].hour, fan[1]) for fan in self.fan_status_array]
hourly_counter = []
thresholds = zip(self.unocc_time_thr.items(), self.unocc_stcpr_thr.items())
diagnostic_msg = {}
for counter in range(24):
fan_on_count = [fan_status_time[1] for fan_status_time in fan_status_on if fan_status_time[0] == counter]
fan_count = [fan_status_time[1] for fan_status_time in fanstat if fan_status_time[0] == counter]
if len(fan_count):
hourly_counter.append(fan_on_count.count(1)/len(fan_count)*100)
else:
hourly_counter.append(0)
if self.schedule_time_array:
if self.fan_status_array:
percent_on = (len(fan_status_on)/len(self.fan_status_array)) * 100.0
if self.stcpr_array:
avg_duct_stcpr = mean(self.stcpr_array)
for (key, unocc_time_thr), (key2, unocc_stcpr_thr) in thresholds:
if percent_on > unocc_time_thr:
msg = "{} - Supply fan is on during unoccupied times".format(key)
result = 63.1
else:
if avg_duct_stcpr < unocc_stcpr_thr:
msg = "{} - No problems detected for schedule diagnostic.".format(key)
result = 60.0
else:
msg = ("{} - Fan status show the fan is off but the duct static "
"pressure is high, check the functionality of the "
"pressure sensor.".format(key))
result = 64.2
diagnostic_msg.update({key: result})
dx_result.log(msg)
else:
msg = "ALL - No problems detected for schedule diagnostic."
dx_result.log(msg)
diagnostic_msg = {"low": 60.0, "normal": 60.0, "high": 60.0}
if 64.2 not in diagnostic_msg.values():
for _hour in range(24):
diagnostic_msg = {}
utc_offset = self.timestamp_array[0].isoformat()[-6:]
push_time = self.timestamp_array[0].date()
push_time = datetime.combine(push_time, datetime.min.time())
push_time = push_time.replace(hour=_hour)
for key, unocc_time_thr in self.unocc_time_thr.items():
diagnostic_msg.update({key: 60.0})
if hourly_counter[_hour] > unocc_time_thr:
diagnostic_msg.update({key: 63.1})
dx_table = {SCHED_RCX + DX: diagnostic_msg}
table_key = create_table_key(self.analysis, push_time) + utc_offset
dx_result.insert_table_row(table_key, dx_table)
else:
push_time = self.timestamp_array[0].date()
table_key = create_table_key(self.analysis, push_time)
dx_result.insert_table_row(table_key, {SCHED_RCX + DX: diagnostic_msg})
return dx_result
def sat_rcx(self, current_time, sat_data, sat_stpt_data,
zone_rht_data, zone_dmpr_data, dx_result, validate):
"""Manages supply-air diagnostic data sets.
Args:
current_time (datetime): current timestamp for trend data.
sat_data (lst of floats): supply-air temperature measurement for
AHU.
sat_stpt_data (List[floats]): supply-air temperature set point
data for AHU.
zone_rht_data (List[floats]): reheat command for terminal boxes
served by AHU.
zone_dmpr_data (List[floats]): damper command for terminal boxes
served by AHU.
dx_result (Object): Object for interacting with platform and devices.
Returns:
Results object (dx_result) to Application.
"""
if check_date(current_time, self.timestamp_arr):
self.reinitialize()
return dx_result
file_key = create_table_key(VALIDATE_FILE_TOKEN, current_time)
tot_rht = sum(1 if val > self.rht_on_thr else 0 for val in zone_rht_data)
count_rht = len(zone_rht_data)
tot_dmpr = sum(1 if val > self.high_dmpr_thr else 0 for val in zone_dmpr_data)
count_damper = len(zone_dmpr_data)
data = validation_builder(validate, SA_VALIDATE, DATA)
run_status = check_run_status(self.timestamp_arr, current_time, self.no_req_data)
if run_status is None:
dx_result.log('Current analysis data set has insufficient data '
'to produce a valid diagnostic result.')
self.reinitialize()
return dx_result
if run_status:
self.table_key = create_table_key(self.analysis, self.timestamp_arr[-1])
avg_sat_stpt, dx_table = setpoint_control_check(self.sat_stpt_arr,
self.satemp_arr,
self.stpt_allowable_dev,
SA_TEMP_RCX,
DX, SAT_NAME,
self.token_offset)
self.dx_table.update(dx_table)
dx_result = self.low_sat(dx_result, avg_sat_stpt)
dx_result = self.high_sat(dx_result, avg_sat_stpt)
dx_result.insert_table_row(self.table_key, self.dx_table)
self.data.update({SA_VALIDATE + DATA + ST: 1})
dx_result.insert_table_row(self.file_key, self.data)
self.reinitialize()
self.satemp_arr.append(mean(sat_data))
self.rht_arr.append(mean(zone_rht_data))
self.sat_stpt_arr.append(mean(sat_stpt_data))
self.percent_rht.append(tot_rht/count_rht)
self.percent_dmpr.append(tot_dmpr/count_damper)
self.timestamp_arr.append(current_time)
if self.data:
self.data.update({SA_VALIDATE + DATA + ST: 0})
dx_result.insert_table_row(self.file_key, self.data)
self.data = data
self.file_key = file_key
return dx_result
def excess_oa(self, dx_result, table_key):
"""
If the detected problems(s) are consistent generate a fault message(s).
:param dx_result:
:param table_key:
:return:
"""
oaf = [(m - r) / (o - r) for o, r, m in zip(self.oat_values, self.rat_values, self.mat_values)]
avg_oaf = mean(oaf) * 100.0
avg_damper = mean(self.oad_values)
desired_oaf = self.desired_oaf / 100.0
diagnostic_msg = {}
energy_impact = {}
if avg_oaf < 0 or avg_oaf > 125.0:
msg = ("{}: Inconclusive result, unexpected OAF value: {}".format(ECON4, avg_oaf))
# color_code = "GREY"
dx_table = {ECON4 + DX: self.invalid_oaf_dict}
dx_result.log(msg)
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
avg_oaf = max(0.0, min(100.0, avg_oaf))
thresholds = zip(self.excess_damper_threshold.items(), self.excess_oaf_threshold.items())
for (key, damper_thr), (key2, oaf_thr) in thresholds:
if avg_damper > damper_thr:
msg = "{}: The OAD should be at the minimum but is significantly higher.".format(ECON4)
# color_code = "RED"
result = 32.1
if avg_oaf - self.desired_oaf > oaf_thr:
msg = ("{}: The OAD should be at the minimum for ventilation "
"but is significantly above that value. Excess outdoor air is "
"being provided; This could significantly increase "
"heating and cooling costs".format(ECON4))
energy = self.energy_impact_calculation(desired_oaf)
result = 34.1
elif avg_oaf - self.desired_oaf > oaf_thr:
msg = ("{}: Excess outdoor air is being provided, this could "
"increase heating and cooling energy consumption.".format(ECON4))
# color_code = "RED"
energy = self.energy_impact_calculation(desired_oaf)
result = 33.1
else:
# color_code = "GREEN"
msg = ("{}: The calculated OAF is within configured limits.".format(ECON4))
result = 30.0
energy = 0.0
dx_result.log(msg)
energy_impact.update({key: energy})
diagnostic_msg.update({key: result})
dx_table = {
ECON4 + DX: diagnostic_msg,
ECON4 + EI: energy_impact
}
dx_result.insert_table_row(table_key, dx_table)
self.clear_data()
return dx_result
