Hey,
i donĀ“t get it to work:
jq300:
username: ****
password: ****
iaquk:
wohnzimmer:
sources:
humidity: sensor.jq300_humidity
co2: sensor.jq300_eco2
tvoc: sensor.jq300_tvoc
hcho: sensor.jq300_hcho
pm: sensor.jq300_pm25
sensors:
- iaq_level
The sensor is online but the iaquk does not sent the data:
Log file is clear.
Any idea, help or sugestions?
Greetings
Daniel
Indoor Air Quality Sensor Component v1.3.5 has been published.
https://www.patreon.com/posts/48423586
Please update your IAQUK sensor component to the latest version. When the system starts, the logs will contain more detailed information why it does not work.
Most likely you have errors in the names of the source sensors.
Are you sure your JQ-300 is registered in the cloud as ājq300ā? For only in this case the jq300 integration component will create such sensor names.
@Limych How is the calculation by: temperature, humidity and CO2.
Letās say the temperature is 25*C, humidity 37% and CO2 650ppm. I get an index of 39.
But as for me it is the most comfortable temperature, humidity.
And how does it take into account the current season and whether there are people in the room or not?
All calculations are based on the official index table:
https://github.com/Limych/ha-iaquk/blob/845760b87067cdd8b6831542c46d80975ad8a9c3/IAQ_Rating_Index.pdf
25Ā°Š” = 1 point (Inadequate)
37% = 4 points (Good)
650 ppm = 4 points (Good)
then the sum (9 points) is approximated for the entire range (1-65), since not all sensors are represented.
Hmmm, I see, that is, since my comfort temperature does not match the IAQ UK, I need to exclude the temperature from the sensor, and then it will work well for me, because now it shows the same thing and it is always bad.
Do I understand this correctly? Or can I make adjustments in it to understand that itās fine, but tailored to my individual needs?
The sensor only calculates an estimate of the air quality according to a predetermined system. How you use this estimate is up to you.
The āSeeed Studio Grove - Multichannel Gas Sensor V2ā seems to be a nice sensor for the job. Hopefully this sensor will be added to the EPShome library soon.
This is great, sadly Iām in the USA where AQI is different than IAQ. Any chance thereās a component like this that can spit out AQI from a PM2.5 sensor? Thanks.
I used the following formula as a template sensor to convert pm2.5 to US AQI:
Youāre awesome thank you so much.
Dude, @fahr that is awesome! I didnāt even think about an AQI value, until your post. Just yesterday I got my first pm2.5 sensor from AliExpress (pms7003) and got it working on ESPHome because they recently integrated the pmsx003. I took your equation and matched it up with the one on Wikipediaās AQI page and adapted it for use in an ESPHome template sensor and template text sensor for the color:
uart:
rx_pin: 16
baud_rate: 9600
globals:
- id: c_low
type: float
- id: c_high
type: float
- id: i_low
type: float
- id: i_high
type: float
sensor:
- platform: pmsx003
type: PMSX003
pm_2_5:
name: "Particulate Matter <2.5Āµm Concentration"
id: pm25
accuracy_decimals: 1
filters:
- sliding_window_moving_average:
window_size: 60
send_every: 31
send_first_at: 11
# https://en.wikipedia.org/wiki/Air_quality_index
- platform: template
name: Air Quality Index
unit_of_measurement: AQI
icon: mdi:pine-tree-fire
accuracy_decimals: 0
lambda: >
if (id(pm25).state > 500.4) {
return NAN;
} else if (id(pm25).state >= 350.5) {
id(i_high) = 500.0;
id(i_low) = 401.0;
id(c_high) = 500.0;
id(c_low) = 350.5;
} else if (id(pm25).state >= 250.5) {
id(i_high) = 400.0;
id(i_low) = 301.0;
id(c_high) = 350.4;
id(c_low) = 250.5;
id(aqi_color).publish_state("Maroon");
} else if (id(pm25).state >= 150.5) {
id(i_high) = 300.0;
id(i_low) = 201.0;
id(c_high) = 250.4;
id(c_low) = 150.5;
id(aqi_color).publish_state("Purple");
} else if (id(pm25).state >= 55.5) {
id(i_high) = 200.0;
id(i_low) = 151.0;
id(c_high) = 150.4;
id(c_low) = 55.5;
id(aqi_color).publish_state("Red");
} else if (id(pm25).state >= 35.5) {
id(i_high) = 150.0;
id(i_low) = 101.0;
id(c_high) = 55.4;
id(c_low) = 35.5;
id(aqi_color).publish_state("Orange");
} else if (id(pm25).state >= 12.1) {
id(i_high) = 100.0;
id(i_low) = 51.0;
id(c_high) = 35.4;
id(c_low) = 12.1;
id(aqi_color).publish_state("Yellow");
} else {
id(i_high) = 50.0;
id(i_low) = 0.0;
id(c_high) = 12.0;
id(c_low) = 0.0;
id(aqi_color).publish_state("Green");
}
return round(((id(i_high) - id(i_low))/(id(c_high) - id(c_low))) * (id(pm25).state - id(c_low)) + id(i_low));
text_sensor:
- platform: template
name: AQI Color
icon: mdi:pine-tree-fire
id: aqi_color
update_interval: never
One thing to note, my ESPHome implementation doesnāt perform a 24 hour average for the AQI index calculation ā I may implement that down the road.
It works GREAT:
The cool thing is, the wiring for this device is even simpler than the BME280 that @Limych shared above. Itās literally three pins (+5V, GND, and RX). Ignore the incorrect BLE CLIENT RADON label.
Iām going to build a few of these and put them in and around the house.
EDIT
One more thing to add here. I bought a Blueair 280i air purifier and it measures VOC and CO2 content. I have had the thing for a week or two and I have been pitting its PM values against the homebrew values but I had no way to crosscheck the VOC nor CO2 values, until now!
I found the CCS811 and itās supported by ESPHome! This is probably the same sensor used by the 280i that I have because on power-up the device calibrates itself and the CO2 value is stuck at 400, this happens on the 280i as well. The CCS811 is i2c and 3.3V.
According to the ESPHome sheet on the CCS811, if you have temperature and humidity to feed into the device it will give you a more accurate reading so I dropped in a DHT22 and fed the readings to it. The DHT22 is also 3.3V.
Now my breadboard looks like this:
That gives me all of this output:
And hereās the config file for it:
uart:
rx_pin: 16
baud_rate: 9600
i2c:
sda: GPIO21
scl: GPIO22
globals:
- id: c_low
type: float
- id: c_high
type: float
- id: i_low
type: float
- id: i_high
type: float
sensor:
- platform: dht
pin: GPIO19
temperature:
name: "Living Room Temperature"
id: living_room_temperature
humidity:
name: "Living Room Humidity"
id: living_room_humidity
update_interval: 60s
- platform: ccs811
eco2:
name: "Living Room CO2"
filters:
- filter_out: 65021
tvoc:
name: "Living Room TVOC"
filters:
- filter_out: 65021
address: 0x5A
update_interval: 60s
temperature: living_room_temperature
humidity: living_room_humidity
# baseline: 0xF4FF
- platform: pmsx003
type: PMSX003
pm_1_0:
name: "Living Room Particulate Matter <1.0Āµm Concentration"
id: living_room_pm_1_0
accuracy_decimals: 1
filters:
- sliding_window_moving_average:
window_size: ${my_window_size}
send_every: ${my_send_every}
send_first_at: ${my_send_first_at}
pm_2_5:
name: "Living Room Particulate Matter <2.5Āµm Concentration"
id: living_room_pm_2_5
accuracy_decimals: 1
filters:
- sliding_window_moving_average:
window_size: ${my_window_size}
send_every: ${my_send_every}
send_first_at: ${my_send_first_at}
pm_10_0:
name: "Living Room Particulate Matter <10.0Āµm Concentration"
id: living_room_pm_10_0
accuracy_decimals: 1
filters:
- sliding_window_moving_average:
window_size: ${my_window_size}
send_every: ${my_send_every}
send_first_at: ${my_send_first_at}
- platform: template
name: Living Room PM 1.0 rolling 30 minute average
id: living_room_pm_1_0_rolling_30_minute_average
unit_of_measurement: Āµg/mĀ³
icon: mdi:molecule
update_interval: 2s
lambda: >
return id(living_room_pm_1_0).state;
filters:
- sliding_window_moving_average:
window_size: 900
send_every: 15
send_first_at: 15
- platform: template
name: Living Room PM 2.5 rolling 30 minute average
id: living_room_pm_2_5_rolling_30_minute_average
unit_of_measurement: Āµg/mĀ³
icon: mdi:molecule
update_interval: 2s
lambda: >
return id(living_room_pm_2_5).state;
filters:
- sliding_window_moving_average:
window_size: 900
send_every: 15
send_first_at: 15
- platform: template
name: Living Room PM 10.0 rolling 30 minute average
id: living_room_pm_10_0_rolling_30_minute_average
unit_of_measurement: Āµg/mĀ³
icon: mdi:molecule
update_interval: 2s
lambda: >
return id(living_room_pm_10_0).state;
filters:
- sliding_window_moving_average:
window_size: 900
send_every: 15
send_first_at: 15
# https://en.wikipedia.org/wiki/Air_quality_index
- platform: template
name: Living Room Air Quality Index
unit_of_measurement: AQI
icon: mdi:pine-tree-fire
accuracy_decimals: 0
lambda: >
if (id(living_room_pm_2_5_rolling_30_minute_average).state > 500.4) {
return NAN;
} else if (id(living_room_pm_2_5_rolling_30_minute_average).state >= 350.5) {
id(i_high) = 500.0;
id(i_low) = 401.0;
id(c_high) = 500.0;
id(c_low) = 350.5;
} else if (id(living_room_pm_2_5_rolling_30_minute_average).state >= 250.5) {
id(i_high) = 400.0;
id(i_low) = 301.0;
id(c_high) = 350.4;
id(c_low) = 250.5;
id(living_room_aqi_color).publish_state("Maroon");
} else if (id(living_room_pm_2_5_rolling_30_minute_average).state >= 150.5) {
id(i_high) = 300.0;
id(i_low) = 201.0;
id(c_high) = 250.4;
id(c_low) = 150.5;
id(living_room_aqi_color).publish_state("Purple");
} else if (id(living_room_pm_2_5_rolling_30_minute_average).state >= 55.5) {
id(i_high) = 200.0;
id(i_low) = 151.0;
id(c_high) = 150.4;
id(c_low) = 55.5;
id(living_room_aqi_color).publish_state("Red");
} else if (id(living_room_pm_2_5_rolling_30_minute_average).state >= 35.5) {
id(i_high) = 150.0;
id(i_low) = 101.0;
id(c_high) = 55.4;
id(c_low) = 35.5;
id(living_room_aqi_color).publish_state("Orange");
} else if (id(living_room_pm_2_5_rolling_30_minute_average).state >= 12.1) {
id(i_high) = 100.0;
id(i_low) = 51.0;
id(c_high) = 35.4;
id(c_low) = 12.1;
id(living_room_aqi_color).publish_state("Yellow");
} else {
id(i_high) = 50.0;
id(i_low) = 0.0;
id(c_high) = 12.0;
id(c_low) = 0.0;
id(living_room_aqi_color).publish_state("Green");
}
return round(((id(i_high) - id(i_low))/(id(c_high) - id(c_low))) * (id(living_room_pm_2_5_rolling_30_minute_average).state - id(c_low)) + id(i_low));
text_sensor:
- platform: template
name: Living Room AQI Color
icon: mdi:pine-tree-fire
id: living_room_aqi_color
update_interval: never
I put the filter_out
values on the VOC and CO2 because the sensor throws out a MAX value when it first fires up. If youāre charting the results, you canāt see the real stuff when it starts coming in. Anyway, hereās to fresh air!!
For the benefit of anyone else, after the fact, when using most CCS811 sensor modules:
Remember to connect the WAKE pin to GROUND.
Otherwise, your CCS811 sensor wonāt even show up on the I2C bus scan.
Thanks @FredTheFrog, I didnāt run into this issue. I should probably ground mine for good measureā¦
I reviewed four or five different references for different CCS811 sensor modules and code, and it wasnāt until I found one that finally provided that reminder, that my sensor started working as expected. Just thought Iād save someone else a LOT of frustration.
@Limych im using a BME680, can you help in letting me know which sensor values to map to create the IAQ value?
bme680_gas_resistance
bme680_humidity
bme680_pressure
bme680_temperature
thanks
for IAQ (or do you mean AQI?) have a look here BME680 gas resistance values - #15 by jorgenn or have a loook at the new BME680 bsec integration
Many thanks to Limych for creating this. Iāll be buying you a coffee.
Just testing this with my PM (HM330X), CO2 & TVOC (SGP30) and temp+humidity (AM2301) sensors.
All on an ESP32 running Tasmota FYI.
Couple of questions, as Iām not a Lovelace master by any means;
- Is it possible to remove the āIAQIā units suffix for the index sensor?
- Any way to change either the icon, description text, or status text colour for the level sensor, to reflect the IQA rating scale? i.e. green=excellent, red=inadequate.
Thanks again.