bme680 air quality index

This commit is contained in:
cristianku
2019-08-19 23:07:45 +02:00
committed by GitHub
parent b1e99f2308
commit 3fa482dfb2

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import bme680
import time
try:
sensor = bme680.BME680(bme680.I2C_ADDR_PRIMARY)
except IOError:
sensor = bme680.BME680(bme680.I2C_ADDR_SECONDARY)
# These calibration data can safely be commented
# out, if desired.
# These oversampling settings can be tweaked to
# change the balance between accuracy and noise in
# the data.
hum_weighting = float(0.25) # so hum effect is 25% of the total air quality score
gas_weighting = float(0.75) # so gas effect is 75% of the total air quality score
sensor.set_humidity_oversample(bme680.OS_2X)
sensor.set_pressure_oversample(bme680.OS_2X)
sensor.set_temperature_oversample(bme680.OS_2X)
sensor.set_filter(bme680.FILTER_SIZE_3)
sensor.set_gas_heater_temperature(320)
sensor.set_gas_heater_duration(150)
sensor.select_gas_heater_profile(0)
sensor.set_gas_status(bme680.ENABLE_GAS_MEAS)
gas_reference = float(250000)
hum_reference = float(40)
getgasreference_count = int(0)
def GetGasReference(gas_reference):
# Now run the sensor for a burn-in period, then use combination of relative humidity and gas resistance to estimate indoor air quality as a percentage.
# print("Getting a new gas reference value")
readings = int(10)
while True:
sensor.get_sensor_data()
if sensor.data.heat_stable:
for i in range(1, readings): # // read gas for 10 x 0.150mS = 1.5secs
sensor.get_sensor_data()
gas_reference = gas_reference + sensor.data.gas_resistance
# print(sensor.data.gas_resistance)
gas_reference = gas_reference / readings
return
# for i in range(1, readings): # // read gas for 10 x 0.150mS = 1.5secs
# gas_reference = gas_reference + sensor.data.gas_resistance
# print(sensor.data.gas_resistance)
# gas_reference = gas_reference / readings
def CalculateIAQ(score):
IAQ_text = "Air quality is "
score = float((100 - score) * 5)
if score >= 301:
IAQ_text = IAQ_text + "Hazardous"
elif score >= 201 and score <= 300:
IAQ_text = IAQ_text + "Very Unhealthy"
elif score >= 176 and score <= 200:
IAQ_text = IAQ_text + "Unhealthy"
elif score >= 151 and score <= 175:
IAQ_text = IAQ_text + "Unhealthy for Sensitive Groups"
elif score >= 51 and score <= 150:
IAQ_text = IAQ_text + "Moderate"
elif score >= 00 and score <= 50:
IAQ_text = IAQ_text + "Good"
return IAQ_text
#Calculate humidity contribution to IAQ index
current_humidity = float(sensor.data.humidity)
if (current_humidity >= 38 and current_humidity <= 42):
hum_score = float(0.25*100) # Humidity +/-5% around optimum
else:
#sub-optimal
if (current_humidity < 38):
hum_score = float(0.25/hum_reference*current_humidity*100)
else:
hum_score = ((-0.25/(100-hum_reference)*current_humidity)+0.416666)*100
#Calculate gas contribution to IAQ index
gas_lower_limit = float(5000) # Bad air quality limit
gas_upper_limit = float(50000) # Good air quality limit
if (gas_reference > gas_upper_limit):
gas_reference = gas_upper_limit #gas_reference = 250000 see above
if (gas_reference < gas_lower_limit):
gas_reference = gas_lower_limit
gas_score = float((0.75/(gas_upper_limit-gas_lower_limit)*gas_reference -(gas_lower_limit*(0.75/(gas_upper_limit-gas_lower_limit))))*100)
# print('gas_upper_limit--------')
# print(gas_upper_limit)
#
# print('gas_lower_limit--------')
# print(gas_lower_limit)
#
#
# print('gas score---------')
# print(gas_score)
#Combine results for the final IAQ index value (0-100% where 100% is good quality air)
air_quality_score = float(hum_score + gas_score)
# print('Air Quality = {0:.2f} % derived from 25% of Humidity reading and 75% of Gas reading - 100% is good quality air'.format( air_quality_score))
# print('Humidity element was : {0:.2f} of 0.25'.format( hum_score/100))
# print(' Gas element was : {0:.2f} of 0.25'.format( gas_score/100))
# if (sensor.data.gas_resistance < 120000):
# print('Poor air qulity *****')
GetGasReference(gas_reference)
# print(CalculateIAQ(air_quality_score))
# print("------------------------------------------------")
# time.sleep(2)
print('{0:0.1f}'.format(air_quality_score))