metrics.update({
'MaxVehicleSpeed': {
'value':
pp.global_abs_max(
"road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed"
),
'unit':
'kph'
}
})
metrics.update({
'Acc20kph': {
'value':
pp.last_value(
'road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph'
),
'unit':
's'
}
})
metrics.update({
'EngineTemperature': {
'value': pp.last_value('design_v1.EngineHeatPort.T') - 273.15,
'unit': 'C'
}
})
update_metrics_in_report_json(metrics)
## end of postprocessing part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append("road_Wheel_Load_Both_Sides.vehicleSpeed")
filter.append("road_Wheel_Load_Both_Sides.Accel_20kph")
filter.append("design_v1.EngineHeatPort.T")
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
metrics.update(
{"MaxVehicleSpeed": {"value": pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"), "unit": "kph"}}
)
metrics.update({"Acc20kph": {"value": pp.last_value("road_Wheel_Load_Both_Sides.Accel_20kph"), "unit": "s"}})
metrics.update(
{"EngineTemperature": {"value": pp.last_value("design_v1.EngineHeatPort.T") - 273.15, "unit": "C"}}
)
cwd = os.getcwd()
os.chdir("..")
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part
os.chdir(cwd)
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed')
filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph')
filter.append('design_v1.EngineHeatPort.T')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
metrics.update({'MaxVehicleSpeed': {'value': pp.global_abs_max("road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed"), 'unit': 'kph'}})
metrics.update({'Acc20kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph'), 'unit': 's'}})
metrics.update({'EngineTemperature': {'value': pp.last_value('design_v1.EngineHeatPort.T') - 273.15, 'unit': 'C'}})
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part
metrics.update(
{
"MaxVehicleSpeed": {
"value": pp.global_abs_max(
"road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed"
),
"unit": "kph",
}
}
)
metrics.update(
{
"Acc20kph": {
"value": pp.last_value(
"road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph"
),
"unit": "s",
}
}
)
metrics.update(
{"EngineTemperature": {"value": pp.last_value("design_v1.EngineHeatPort.T") - 273.15, "unit": "C"}}
)
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part
def main():
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
raise IOError('Given result file does not exist: {0}'.format(
sys.argv[1]))
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
bucketCylLength_uri = 'Excavator_.bucketCylLength_unit'
filter.append(bucketCylLength_uri)
armCylLength_uri = 'Excavator_.armCylLength_unit'
filter.append(armCylLength_uri)
boomCylLength_uri = 'Excavator_.boomCylLength_unit'
filter.append(boomCylLength_uri)
boomCylRPressure_uri = 'Excavator_.boomCylLPressure_a'
filter.append(boomCylRPressure_uri)
armCylPressure_uri = 'Excavator_.armCylPressure_a'
filter.append(armCylPressure_uri)
bucketCylPressure_uri = 'Excavator_.bucketCylPressure_a'
filter.append(bucketCylPressure_uri)
arm_ang_vel_uri = 'Excavator_.arm_ang_vel'
filter.append(arm_ang_vel_uri)
max_Y_uri = 'Excavator_.yDistance'
filter.append(max_Y_uri)
max_reach_uri = 'Excavator_.xDistance'
filter.append(max_reach_uri)
State_uri = 'operator_Full.State_1'
filter.append(State_uri)
tip_uri = 'Excavator_.tipping_torque'
filter.append(tip_uri)
deflection_uri = 'Excavator_.yDistance'
filter.append(deflection_uri)
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
max_p_time = pp.global_max_time(boomCylRPressure_uri)
max_v_time = pp.global_max_time(arm_ang_vel_uri)
#max_p_time = pp.global_max_time(armCylPressure_uri)
#max_p_time = pp.global_max_time(bucketCylPressure_uri)
print 'Maximum pressure obtained at : {0}'.format(max_p_time)
print 'Max tip torque : {0}'.format(pp.global_abs_max(tip_uri))
y_deflection = pp.get_data_by_index(deflection_uri,
0) - pp.last_value(deflection_uri)
metrics = {}
metrics.update({
'bucketCylLength_unit': {
'value': pp.get_data_by_time(bucketCylLength_uri, max_p_time)[0],
'unit': 'm'
},
'boomCylLength_unit': {
'value': pp.get_data_by_time(boomCylLength_uri, max_p_time)[0],
'unit': 'm'
},
'armCylLength_unit': {
'value': pp.get_data_by_time(armCylLength_uri, max_p_time)[0],
'unit': 'm'
},
'bucketCylPressure': {
'value': pp.global_abs_max(bucketCylPressure_uri) * 0.00001,
'unit': 'bar'
},
'boomCylRPressure': {
'value': pp.global_abs_max(boomCylRPressure_uri) * 0.00001,
'unit': 'bar'
},
'armCylPressure': {
'value': pp.global_abs_max(armCylPressure_uri) * 0.00001,
'unit': 'bar'
},
'tipTorque': {
'value': pp.global_abs_max(tip_uri),
'unit': 'N-m'
},
'y_deflection': {
'value': y_deflection,
'unit': 'm'
},
#'swing_speed': {'value': pp.last_value(swing_uri), 'unit':'rad/s'},
})
cwd = os.getcwd()
os.chdir('..')
# print 'Plot saved to : {0}'.format(pp.save_as_svg(vehicle_speed,
# pp.global_abs_max(vehicle_speed),
# 'VehicleSpeed',
# 'max(FTP_Driver.driver_bus.vehicle_speed)',
# 'kph'))
dur = 100
pp.store_data_to_csv(bucketCylLength_uri,
'{0}.csv'.format(bucketCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(armCylLength_uri, '{0}.csv'.format(armCylLength_uri),
0, 0.1, dur)
pp.store_data_to_csv(boomCylLength_uri,
'{0}.csv'.format(boomCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(boomCylRPressure_uri,
'{0}.csv'.format(boomCylRPressure_uri), 0, 0.1, dur)
pp.store_data_to_csv(arm_ang_vel_uri, '{0}.csv'.format(arm_ang_vel_uri), 0,
0.1, dur)
pp.store_data_to_csv(max_Y_uri, '{0}.csv'.format(max_Y_uri), 0, 0.1, dur)
pp.store_data_to_csv(max_reach_uri, '{0}.csv'.format(max_reach_uri), 0,
0.1, dur)
pp.store_data_to_csv(State_uri, '{0}.csv'.format(State_uri), 0, 0.1, dur)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
update_metrics_in_report_json(metrics)
## end of Second limit part
os.chdir(cwd)
def main():
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
raise IOError("Given result file does not exist: {0}".format(sys.argv[1]))
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
bucketCylLength_uri = "Excavator_.bucketCylLength_unit"
filter.append(bucketCylLength_uri)
armCylLength_uri = "Excavator_.armCylLength_unit"
filter.append(armCylLength_uri)
boomCylLength_uri = "Excavator_.boomCylLength_unit"
filter.append(boomCylLength_uri)
boomCylRPressure_uri = "Excavator_.boomCylLPressure_a"
filter.append(boomCylRPressure_uri)
armCylPressure_uri = "Excavator_.armCylPressure_a"
filter.append(armCylPressure_uri)
bucketCylPressure_uri = "Excavator_.bucketCylPressure_a"
filter.append(bucketCylPressure_uri)
arm_ang_vel_uri = "Excavator_.arm_ang_vel"
filter.append(arm_ang_vel_uri)
max_Y_uri = "Excavator_.yDistance"
filter.append(max_Y_uri)
max_reach_uri = "Excavator_.xDistance"
filter.append(max_reach_uri)
State_uri = "operator_Full.State_1"
filter.append(State_uri)
tip_uri = "Excavator_.tipping_torque"
filter.append(tip_uri)
deflection_uri = "Excavator_.yDistance"
filter.append(deflection_uri)
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
max_p_time = pp.global_max_time(boomCylRPressure_uri)
max_v_time = pp.global_max_time(arm_ang_vel_uri)
# max_p_time = pp.global_max_time(armCylPressure_uri)
# max_p_time = pp.global_max_time(bucketCylPressure_uri)
print "Maximum pressure obtained at : {0}".format(max_p_time)
print "Max tip torque : {0}".format(pp.global_abs_max(tip_uri))
y_deflection = pp.get_data_by_index(deflection_uri, 0) - pp.last_value(deflection_uri)
metrics = {}
metrics.update(
{
"bucketCylLength_unit": {"value": pp.get_data_by_time(bucketCylLength_uri, max_p_time)[0], "unit": "m"},
"boomCylLength_unit": {"value": pp.get_data_by_time(boomCylLength_uri, max_p_time)[0], "unit": "m"},
"armCylLength_unit": {"value": pp.get_data_by_time(armCylLength_uri, max_p_time)[0], "unit": "m"},
"bucketCylPressure": {"value": pp.global_abs_max(bucketCylPressure_uri) * 0.00001, "unit": "bar"},
"boomCylRPressure": {"value": pp.global_abs_max(boomCylRPressure_uri) * 0.00001, "unit": "bar"},
"armCylPressure": {"value": pp.global_abs_max(armCylPressure_uri) * 0.00001, "unit": "bar"},
"tipTorque": {"value": pp.global_abs_max(tip_uri), "unit": "N-m"},
"y_deflection": {"value": y_deflection, "unit": "m"},
#'swing_speed': {'value': pp.last_value(swing_uri), 'unit':'rad/s'},
}
)
cwd = os.getcwd()
os.chdir("..")
# print 'Plot saved to : {0}'.format(pp.save_as_svg(vehicle_speed,
# pp.global_abs_max(vehicle_speed),
# 'VehicleSpeed',
# 'max(FTP_Driver.driver_bus.vehicle_speed)',
# 'kph'))
dur = 100
pp.store_data_to_csv(bucketCylLength_uri, "{0}.csv".format(bucketCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(armCylLength_uri, "{0}.csv".format(armCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(boomCylLength_uri, "{0}.csv".format(boomCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(boomCylRPressure_uri, "{0}.csv".format(boomCylRPressure_uri), 0, 0.1, dur)
pp.store_data_to_csv(arm_ang_vel_uri, "{0}.csv".format(arm_ang_vel_uri), 0, 0.1, dur)
pp.store_data_to_csv(max_Y_uri, "{0}.csv".format(max_Y_uri), 0, 0.1, dur)
pp.store_data_to_csv(max_reach_uri, "{0}.csv".format(max_reach_uri), 0, 0.1, dur)
pp.store_data_to_csv(State_uri, "{0}.csv".format(State_uri), 0, 0.1, dur)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
update_metrics_in_report_json(metrics)
## end of Second limit part
os.chdir(cwd)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('design.tank_level')
filter.append('design.FuelTankVolume')
filter.append('design.engine_heat_port.T')
filter.append('driver_Land_Profile.driver_control.error_current.u2')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
start_fraction = pp.get_data_by_time('design.tank_level', 0.01)[0]
end_fraction = pp.last_value('design.tank_level')
tank_volume = pp.last_value('design.FuelTankVolume')
distance_covered_m = pp.integrate(
'driver_Land_Profile.driver_control.error_current.u2')
print "start_fraction : {0}".format(start_fraction)
print "end_fraction : {0}".format(end_fraction)
print "tank_volume : {0}".format(tank_volume)
print "distance_covered_m : {0}".format(distance_covered_m)
print "end_time : {0}".format(pp.time[-1])
metrics.update({
'FuelConsumed': {
'value': (start_fraction - end_fraction) * tank_volume,
'unit': 'L'
}
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('PositionSensor.s')
filter.append('SpeedSensor.v')
filter.append('AccSensor.a')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
time_array = pp.time_array()
velocity_array = pp.data_array('SpeedSensor.v')
acceleration_array = pp.data_array('AccSensor.a')
position = pp.last_value('PositionSensor.s')
zero = pp.find_zero(velocity_array, acceleration_array, time_array)
if zero != -1:
time_to_zero = zero
stopped_moving = True
else:
time_to_zero = 10000
stopped_moving = False
metrics.update({'Time_to_Zero': {'value': time_to_zero, 'unit': 's'}})
metrics.update(
{'Stopped_Moving': {
'value': stopped_moving,
'unit': 'T/F'
}})
def main():
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
raise IOError('Given result file does not exist: {0}'.format(
sys.argv[1]))
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
bucketCylLength_uri = 'Excavator_.bucketCylLength_unit'
filter.append(bucketCylLength_uri)
armCylLength_uri = 'Excavator_.armCylLength_unit'
filter.append(armCylLength_uri)
boomCylLength_uri = 'Excavator_.boomCylLength_unit'
filter.append(boomCylLength_uri)
boomCylRPressure_uri = 'Excavator_.boomCylLPressure_a'
filter.append(boomCylRPressure_uri)
armCylPressure_uri = 'Excavator_.armCylPressure_a'
filter.append(armCylPressure_uri)
bucketCylPressure_uri = 'Excavator_.bucketCylPressure_a'
filter.append(bucketCylPressure_uri)
arm_ang_vel_uri = 'Excavator_.arm_ang_vel'
filter.append(arm_ang_vel_uri)
max_Y_uri = 'Excavator_.yDistance'
filter.append(max_Y_uri)
max_reach_uri = 'Excavator_.xDistance'
filter.append(max_reach_uri)
swing_uri = 'Excavator_.carriage2.swingRevolute.w'
filter.append(swing_uri)
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
max_p_time = pp.global_max_time(boomCylRPressure_uri)
max_v_time = pp.global_max_time(arm_ang_vel_uri)
print 'Maximum pressure obtained at : {0}'.format(max_p_time)
max_p_time = pp.global_max_time(armCylPressure_uri)
print 'Maximum pressure obtained at : {0}'.format(max_p_time)
max_p_time = pp.global_max_time(bucketCylPressure_uri)
print 'Maximum pressure obtained at : {0}'.format(max_p_time)
print 'Maximum velocity obtained at : {0}'.format(max_v_time)
print 'Maximum Reach obtained at : {0}'.format(
pp.global_max_time(max_reach_uri))
metrics = {}
metrics.update({
'bucketCylLength_unit': {
'value': pp.get_data_by_time(bucketCylLength_uri, max_p_time)[0],
'unit': 'm'
},
'boomCylLength_unit': {
'value': pp.get_data_by_time(boomCylLength_uri, max_p_time)[0],
'unit': 'm'
},
'boomCylRPressure': {
'value': pp.global_abs_max(boomCylRPressure_uri) * 0.00001,
'unit': 'bar'
},
'armCylLength_unit': {
'value': pp.get_data_by_time(armCylLength_uri, max_p_time)[0],
'unit': 'm'
},
'armCylPressure': {
'value': pp.global_abs_max(armCylPressure_uri) * 0.00001,
'unit': 'bar'
},
'bucketCylPressure': {
'value': pp.global_abs_max(bucketCylPressure_uri) * 0.00001,
'unit': 'bar'
},
'arm_angVel': {
'value': pp.global_abs_max(arm_ang_vel_uri),
'unit': 'rads/s'
},
'max_reach': {
'value': pp.global_max(max_reach_uri),
'unit': 'm'
},
'max_high_reach': {
'value': pp.global_max(max_Y_uri),
'unit': 'm'
},
'max_low_reach': {
'value': pp.global_min(max_Y_uri),
'unit': 'm'
},
'swing_speed': {
'value': pp.last_value(swing_uri),
'unit': 'rad/s'
},
})
cwd = os.getcwd()
os.chdir('..')
# print 'Plot saved to : {0}'.format(pp.save_as_svg(vehicle_speed,
# pp.global_abs_max(vehicle_speed),
# 'VehicleSpeed',
# 'max(FTP_Driver.driver_bus.vehicle_speed)',
# 'kph'))
pp.store_data_to_csv(bucketCylLength_uri,
'{0}.csv'.format(bucketCylLength_uri), 0, 0.1, 200)
pp.store_data_to_csv(armCylLength_uri, '{0}.csv'.format(armCylLength_uri),
0, 0.1, 200)
pp.store_data_to_csv(boomCylLength_uri,
'{0}.csv'.format(boomCylLength_uri), 0, 0.1, 200)
pp.store_data_to_csv(boomCylRPressure_uri,
'{0}.csv'.format(boomCylRPressure_uri), 0, 0.1, 200)
pp.store_data_to_csv(arm_ang_vel_uri, '{0}.csv'.format(arm_ang_vel_uri), 0,
0.1, 200)
pp.store_data_to_csv(max_Y_uri, '{0}.csv'.format(max_Y_uri), 0, 0.1, 500)
pp.store_data_to_csv(max_reach_uri, '{0}.csv'.format(max_reach_uri), 0,
0.1, 200)
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part
os.chdir(cwd)
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
#pressure_variable_name = [var_name for var_name in filter if var_name.endswith('hot_fluid_out.p')][0]
metrics = {}
metrics.update({
'VehicleSpeed': {
'value':
pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"),
'unit':
'kph'
}
})
metrics.update({
'Acc20kph': {
'value':
pp.last_value('road_Wheel_Load_Both_Sides.Accel_20kph'),
'unit': 's'
}
})
metrics.update({
'Acc40kph': {
'value':
pp.last_value('road_Wheel_Load_Both_Sides.Accel_40kph'),
'unit': 's'
}
})
#metrics.update({'EngineAirPressure': {'value': pp.last_value(pressure_variable_name), 'unit': 'Pascal'}})
cwd = os.getcwd()
os.chdir('..')
print 'Plot saved to : {0}'.format(
def main():
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
raise IOError('Given result file does not exist: {0}'.format(sys.argv[1]))
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
bucketCylLength_uri = 'Excavator_.bucketCylLength_unit'
filter.append(bucketCylLength_uri)
armCylLength_uri = 'Excavator_.armCylLength_unit'
filter.append(armCylLength_uri)
boomCylLength_uri = 'Excavator_.boomCylLength_unit'
filter.append(boomCylLength_uri)
boomCylRPressure_uri = 'Excavator_.boomCylLPressure_a'
filter.append(boomCylRPressure_uri)
armCylPressure_uri = 'Excavator_.armCylPressure_a'
filter.append(armCylPressure_uri)
bucketCylPressure_uri = 'Excavator_.bucketCylPressure_a'
filter.append(bucketCylPressure_uri)
arm_ang_vel_uri = 'Excavator_.arm_ang_vel'
filter.append(arm_ang_vel_uri)
max_Y_uri = 'Excavator_.yDistance'
filter.append(max_Y_uri)
max_reach_uri = 'Excavator_.xDistance'
filter.append(max_reach_uri)
swing_uri = 'Excavator_.carriage2.swingRevolute.w'
filter.append(swing_uri)
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
max_p_time = pp.global_max_time(boomCylRPressure_uri)
max_v_time = pp.global_max_time(arm_ang_vel_uri)
print 'Maximum pressure obtained at : {0}'.format(max_p_time)
max_p_time = pp.global_max_time(armCylPressure_uri)
print 'Maximum pressure obtained at : {0}'.format(max_p_time)
max_p_time = pp.global_max_time(bucketCylPressure_uri)
print 'Maximum pressure obtained at : {0}'.format(max_p_time)
print 'Maximum velocity obtained at : {0}'.format(max_v_time)
print 'Maximum Reach obtained at : {0}'.format(pp.global_max_time(max_reach_uri))
metrics = {}
metrics.update({'bucketCylLength_unit': {'value': pp.get_data_by_time(bucketCylLength_uri, max_p_time)[0], 'unit': 'm'},
'boomCylLength_unit': {'value': pp.get_data_by_time(boomCylLength_uri, max_p_time)[0], 'unit': 'm'},
'boomCylRPressure': {'value': pp.global_abs_max(boomCylRPressure_uri)*0.00001, 'unit': 'bar'},
'armCylLength_unit': {'value': pp.get_data_by_time(armCylLength_uri, max_p_time)[0], 'unit': 'm'},
'armCylPressure': {'value': pp.global_abs_max(armCylPressure_uri)*0.00001, 'unit': 'bar'},
'bucketCylPressure': {'value': pp.global_abs_max(bucketCylPressure_uri)*0.00001, 'unit': 'bar'},
'arm_angVel' : {'value': pp.global_abs_max(arm_ang_vel_uri), 'unit':'rads/s'},
'max_reach':{'value':pp.global_max(max_reach_uri),'unit':'m'},
'max_high_reach' : {'value': pp.global_max(max_Y_uri), 'unit':'m'},
'max_low_reach': {'value': pp.global_min(max_Y_uri), 'unit':'m'},
'swing_speed': {'value': pp.last_value(swing_uri), 'unit':'rad/s'},
})
cwd = os.getcwd()
os.chdir('..')
# print 'Plot saved to : {0}'.format(pp.save_as_svg(vehicle_speed,
# pp.global_abs_max(vehicle_speed),
# 'VehicleSpeed',
# 'max(FTP_Driver.driver_bus.vehicle_speed)',
# 'kph'))
pp.store_data_to_csv(bucketCylLength_uri, '{0}.csv'.format(bucketCylLength_uri), 0, 0.1, 200)
pp.store_data_to_csv(armCylLength_uri, '{0}.csv'.format(armCylLength_uri), 0, 0.1, 200)
pp.store_data_to_csv(boomCylLength_uri, '{0}.csv'.format(boomCylLength_uri), 0, 0.1, 200)
pp.store_data_to_csv(boomCylRPressure_uri, '{0}.csv'.format(boomCylRPressure_uri), 0, 0.1, 200)
pp.store_data_to_csv(arm_ang_vel_uri, '{0}.csv'.format(arm_ang_vel_uri), 0, 0.1, 200)
pp.store_data_to_csv(max_Y_uri, '{0}.csv'.format(max_Y_uri), 0, 0.1, 500)
pp.store_data_to_csv(max_reach_uri, '{0}.csv'.format(max_reach_uri), 0, 0.1, 200)
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part
os.chdir(cwd)
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('PositionSensor.s')
filter.append('SpeedSensor.v')
filter.append('AccSensor.a')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
time_array = pp.time_array()
velocity_array = pp.data_array('SpeedSensor.v')
acceleration_array = pp.data_array('AccSensor.a')
position = pp.last_value('PositionSensor.s')
zero = pp.find_zero(velocity_array,acceleration_array,time_array)
if zero != -1:
time_to_zero = zero
stopped_moving = True
else:
time_to_zero = 10000
stopped_moving = False
metrics.update({'Time_to_Zero': {'value': time_to_zero, 'unit': 's'}})
metrics.update({'Stopped_Moving': {'value': stopped_moving, 'unit': 'T/F'}})
metrics.update({'Final_Position': {'value': abs(position),'unit': 'm'}})
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('road_Wheel_Load_Both_Sides.vehicleSpeed')
filter.append('road_Wheel_Load_Both_Sides.Accel_20kph')
filter.append('road_Wheel_Load_Both_Sides.Accel_40kph')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
#pressure_variable_name = [var_name for var_name in filter if var_name.endswith('hot_fluid_out.p')][0]
metrics = {}
metrics.update({'VehicleSpeed': {'value': pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"), 'unit': 'kph'}})
metrics.update({'Acc20kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.Accel_20kph'), 'unit': 's'}})
metrics.update({'Acc40kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.Accel_40kph'), 'unit': 's'}})
#metrics.update({'EngineAirPressure': {'value': pp.last_value(pressure_variable_name), 'unit': 'Pascal'}})
cwd = os.getcwd()
os.chdir('..')
print 'Plot saved to : {0}'.format(pp.save_as_svg('road_Wheel_Load_Both_Sides.vehicleSpeed',
pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"),
'VehicleSpeed',
'max(road_Wheel_Load_Both_Sides.vehicleSpeed)',
'km/h'))
print 'Plot saved to : {0}'.format(pp.save_as_svg('road_Wheel_Load_Both_Sides.Accel_20kph',
pp.last_value('road_Wheel_Load_Both_Sides.Accel_20kph'),
'Acc20kph',
'last_value(road_Wheel_Load_Both_Sides.Accel_20kph)',
's'))
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('road_Wheel_Load_Both_Sides.vehicleSpeed')
filter.append('road_Wheel_Load_Both_Sides.Accel_20kph')
filter.append('design_v1.EngineHeatPort.T')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
metrics.update({'MaxVehicleSpeed': {'value': pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"), 'unit': 'kph'}})
metrics.update({'Acc20kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.Accel_20kph'), 'unit': 's'}})
metrics.update({'EngineTemperature': {'value': pp.last_value('design_v1.EngineHeatPort.T') - 273.15, 'unit': 'C'}})
cwd = os.getcwd()
os.chdir('..')
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part
os.chdir(cwd)
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append("road_Wheel_Load_Both_Sides.vehicleSpeed")
filter.append("road_Wheel_Load_Both_Sides.Accel_20kph")
filter.append("road_Wheel_Load_Both_Sides.Accel_40kph")
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
# pressure_variable_name = [var_name for var_name in filter if var_name.endswith('hot_fluid_out.p')][0]
metrics = {}
metrics.update(
{"VehicleSpeed": {"value": pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"), "unit": "kph"}}
)
metrics.update({"Acc20kph": {"value": pp.last_value("road_Wheel_Load_Both_Sides.Accel_20kph"), "unit": "s"}})
metrics.update({"Acc40kph": {"value": pp.last_value("road_Wheel_Load_Both_Sides.Accel_40kph"), "unit": "s"}})
# metrics.update({'EngineAirPressure': {'value': pp.last_value(pressure_variable_name), 'unit': 'Pascal'}})
cwd = os.getcwd()
os.chdir("..")
print "Plot saved to : {0}".format(
pp.save_as_svg(
"road_Wheel_Load_Both_Sides.vehicleSpeed",
pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"),
"VehicleSpeed",
"max(road_Wheel_Load_Both_Sides.vehicleSpeed)",
"km/h",
)
)
print "Plot saved to : {0}".format(
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
metrics.update({
'MaxVehicleSpeed': {
'value':
pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"),
'unit':
'kph'
}
})
metrics.update({
'Acc20kph': {
'value':
pp.last_value('road_Wheel_Load_Both_Sides.Accel_20kph'),
'unit': 's'
}
})
metrics.update({
'EngineTemperature': {
'value': pp.last_value('design_v1.EngineHeatPort.T') - 273.15,
'unit': 'C'
}
})
cwd = os.getcwd()
os.chdir('..')
update_metrics_in_report_json(metrics)
## end of postprocessing part
