measured_seconds.append(time())
sleep(start_time + i - time() + 1) # to keep in time
mean_temp = numpy.mean(temp)
var_temp = numpy.var(temp)
mean_hum = numpy.mean(hum)
var_hum = numpy.var(hum)
lin_model = stats.linregress(measured_seconds, co2)
slope = lin_model[0]
intercept = lin_model[1]
r_squared = lin_model[2]*lin_model[2]
slope_err = lin_model[4]
return [mean_temp, var_temp, mean_hum, var_hum, slope, intercept, r_squared, slope_err]
sender.start() # starts sender in a concurrent thread
try:
while True:
for addr in range(1, 15): # address 0 is reserved for flushing with air
gpio.set_addr(0) # set flushing address
sleep(60) # flush for 60 seconds
gpio.reset() # stop flushing
gpio.set_addr(addr) # start measuring wait 60 seconds, 240 measure
writer.save(measure(30), origin="RaspberryPi Kammer Nr. " + str(addr))
writer.flush() # close the file in order to "feed" sender
gpio.reset()
except KeyboardInterrupt:
print 'Stopped measurement loop.'
finally:
gpio.cleanup()
lin_model = stats.linregress(measured_seconds, co2)
slope = lin_model[0]
intercept = lin_model[1]
r_squared = lin_model[2] * lin_model[2]
slope_err = lin_model[4]
return [
mean_temp, var_temp, mean_hum, var_hum, slope, intercept, r_squared,
slope_err
]
sender.start() # starts sender in a concurrent thread
try:
while True:
for addr in range(1,
15): # address 0 is reserved for flushing with air
gpio.set_addr(0) # set flushing address
sleep(60) # flush for 60 seconds
gpio.reset() # stop flushing
gpio.set_addr(addr) # start measuring wait 60 seconds, 240 measure
writer.save(measure(30),
origin="RaspberryPi Kammer Nr. " + str(addr))
writer.flush() # close the file in order to "feed" sender
gpio.reset()
except KeyboardInterrupt:
print 'Stopped measurement loop.'
finally:
gpio.cleanup()
class RaspberryPiClient(BayEOSGatewayClient):
"""Raspberry Pi client class."""
def init_writer(self):
"""Overwrites the init_writer() method of the BayEOSGatewayClient class."""
# gpio pins
ADDR_PINS = [11, 12, 13, 15, 16, 18] # GPIO 17, 18, 27, 22, 23, 24
DATA_PIN = 24 # GPIO 8
EN_PIN = 26 # GPIO 7
self.gpio = GPIO(ADDR_PINS, EN_PIN, DATA_PIN)
self.init_sensors()
self.addr = 1 # current address
def read_data(self):
"""Overwrites the read_data() method of the BayEOSGatewayClient class."""
# address 0 is reserved for flushing with air
self.gpio.set_addr(0) # set flushing address
sleep(.6) # flush for 60 seconds
self.gpio.reset() # stop flushing
self.gpio.set_addr(self.addr) # start measuring wait 60 seconds, 240 measure
measurement_data = self.measure(3)
self.gpio.reset()
return measurement_data
def save_data(self, values=[], origin='CO2_Chambers'):
"""Overwrites the save_data() method of the BayEOSGatewayClient class."""
self.writer.save(values, origin='RaspberryPi-Chamber-' + str(self.addr))
self.writer.flush()
print 'saved data: ' + str(values)
self.addr += 1
if self.addr > 15:
self.addr = 1
def init_sensors(self):
"""Initializes the I2C Bus including the SHT21 and MCP3424 sensors."""
try:
self.i2c = I2C()
self.sht21 = SHT21(1)
self.mcp3424 = MCP3424(self.i2c.get_smbus())
except IOError as err:
sys.stderr.write('I2C Connection Error: ' + str(err) + '. This must be run as root. Did you use the right device number?')
def measure(self, seconds=10):
"""Measures temperature, humidity and CO2 concentration.
@param seconds: how long should be measured
@return statistically calculated parameters
"""
measured_seconds = []
temp = []
hum = []
co2 = []
start_time = time()
for i in range(0, seconds):
start_new_thread(temp.append, (self.sht21.read_temperature(),))
start_new_thread(hum.append, (self.sht21.read_humidity(),))
start_new_thread(co2.append, (self.mcp3424.read_voltage(1),))
measured_seconds.append(time())
sleep(start_time + i - time() + 1) # to keep in time
mean_temp = numpy.mean(temp)
var_temp = numpy.var(temp)
mean_hum = numpy.mean(hum)
var_hum = numpy.var(hum)
lin_model = stats.linregress(measured_seconds, co2)
slope = lin_model[0]
intercept = lin_model[1]
r_squared = lin_model[2]*lin_model[2]
slope_err = lin_model[4]
return [mean_temp, var_temp, mean_hum, var_hum, slope, intercept, r_squared, slope_err]
