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Outdoor temp hum compensation (#21)
* Outdoor Temp and Humidity compensation Using latest calculation from AirGradient forums * Add fix for negative numbers until ESPHome fix is released
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Lines changed: 125 additions & 9 deletions

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‎airgradient-open-air-o-1pst.yaml‎

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@@ -5,7 +5,7 @@
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substitutions:
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name: "ag-open-air-o-1pst"
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friendly_name: "AG Open Air O-1PST"
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config_version: 2.0.0
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config_version: 2.0.1
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name_add_mac_suffix: "false" # Must have quotes around value
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# Enable Home Assistant API

‎packages/sensor_pms5003t.yaml‎

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@@ -7,23 +7,23 @@ sensor:
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pm_2_5:
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name: "PM 2.5"
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id: pm_2_5
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device_class: pm25 # Added to report properly to HomeKit
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device_class: pm25 # Added to report properly to Homekit
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filters:
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- sliding_window_moving_average:
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window_size: 30
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send_every: 30
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pm_1_0:
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name: "PM 1.0"
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id: pm_1_0
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device_class: pm1 # Added to report properly to HomeKit
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device_class: pm1 # Added to report properly to Homekit
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filters:
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- sliding_window_moving_average:
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window_size: 30
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send_every: 30
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pm_10_0:
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name: "PM 10.0"
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id: pm_10_0
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device_class: pm10 # Added to report properly to HomeKit
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device_class: pm10 # Added to report properly to Homekit
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filters:
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- sliding_window_moving_average:
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window_size: 30
@@ -39,13 +39,25 @@ sensor:
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name: "Temperature"
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id: temp
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filters:
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# https://www.airgradient.com/blog/slr-temperature-example/
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# - lambda: return (x - 4.55) / 0.83; # Once the negative number issue fix is merged in https://github.com/esphome/issues/issues/3814
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- lambda: !lambda |-
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// Fix negative values for now
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if (x > 6000) {
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return (x - 6553.6 - 4.55) / 0.83;
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}
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return (x - 4.55) / 0.83;
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- sliding_window_moving_average:
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window_size: 30
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send_every: 30
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humidity:
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name: "Humidity"
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id: humidity
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filters:
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# https://www.airgradient.com/blog/linear-regression-improves-sensor-accuracy/
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# - lambda: return x * 1.500574 - 4.76;
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# https://forum.airgradient.com/t/open-air-outdoor-air-quality-monitor-humidity-readings-are-off/1171/2
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- lambda: return x * 1.3921 - 1.0245;
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- sliding_window_moving_average:
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window_size: 30
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send_every: 30
@@ -60,7 +72,7 @@ sensor:
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icon: "mdi:air-filter"
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accuracy_decimals: 0
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filters:
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- skip_initial: 10 # Need valid data from PM 2.5 sensor before able to calculate
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- skip_initial: 1 # Need valid data from PM 2.5 sensor before able to calculate
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lambda: |-
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// https://en.wikipedia.org/wiki/Air_quality_index#Computing_the_AQI
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// Borrowed from https://github.com/kylemanna/sniffer/blob/master/esphome/sniffer_common.yaml

‎packages/sensor_pms5003t_extended_life.yaml‎

Lines changed: 18 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -7,24 +7,38 @@ sensor:
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pm_2_5:
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name: "PM 2.5"
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id: pm_2_5
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device_class: pm25 # Added to report properly to HomeKit
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device_class: pm25 # Added to report properly to Homekit
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pm_1_0:
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name: "PM 1.0"
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id: pm_1_0
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device_class: pm1 # Added to report properly to HomeKit
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device_class: pm1 # Added to report properly to Homekit
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pm_10_0:
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name: "PM 10.0"
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id: pm_10_0
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device_class: pm10 # Added to report properly to HomeKit
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device_class: pm10 # Added to report properly to Homekit
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pm_0_3um:
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name: "PM 0.3"
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id: pm_0_3um
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temperature:
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name: "Temperature"
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id: temp
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filters:
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# https://www.airgradient.com/blog/slr-temperature-example/
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# - lambda: return (x - 4.55) / 0.83; # Once the negative number issue fix is merged in https://github.com/esphome/issues/issues/3814
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- lambda: !lambda |-
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// Fix negative values for now
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if (x > 6000) {
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return (x - 6553.6 - 4.55) / 0.83;
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}
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return (x - 4.55) / 0.83;
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humidity:
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name: "Humidity"
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id: humidity
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filters:
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# https://www.airgradient.com/blog/linear-regression-improves-sensor-accuracy/
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# - lambda: return x * 1.500574 - 4.76;
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# https://forum.airgradient.com/t/open-air-outdoor-air-quality-monitor-humidity-readings-are-off/1171/2
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- lambda: return x * 1.3921 - 1.0245;
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update_interval: 2min
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@@ -37,7 +51,7 @@ sensor:
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icon: "mdi:air-filter"
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accuracy_decimals: 0
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filters:
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- skip_initial: 10 # Need valid data from PM 2.5 sensor before able to calculate
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- skip_initial: 1 # Need valid data from PM 2.5 sensor before able to calculate
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lambda: |-
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// https://en.wikipedia.org/wiki/Air_quality_index#Computing_the_AQI
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// Borrowed from https://github.com/kylemanna/sniffer/blob/master/esphome/sniffer_common.yaml

‎packages/sensor_pms5003t_uncorrected.yaml‎

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,90 @@
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sensor:
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- platform: pmsx003
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# Default interval of updating every second, but using an average over the last 30 seconds/readings
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# PMS5003T with temperature and humidity https://esphome.io/components/sensor/pmsx003.html
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type: PMS5003T
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uart_id: pms5003_uart
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pm_2_5:
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name: "PM 2.5"
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id: pm_2_5
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device_class: pm25 # Added to report properly to Homekit
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filters:
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- sliding_window_moving_average:
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window_size: 30
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send_every: 30
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pm_1_0:
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name: "PM 1.0"
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id: pm_1_0
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device_class: pm1 # Added to report properly to Homekit
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filters:
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- sliding_window_moving_average:
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window_size: 30
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send_every: 30
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pm_10_0:
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name: "PM 10.0"
25+
id: pm_10_0
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device_class: pm10 # Added to report properly to Homekit
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filters:
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- sliding_window_moving_average:
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window_size: 30
30+
send_every: 30
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pm_0_3um:
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name: "PM 0.3"
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id: pm_0_3um
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filters:
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- sliding_window_moving_average:
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window_size: 30
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send_every: 30
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temperature:
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name: "Temperature"
40+
id: temp
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filters:
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- sliding_window_moving_average:
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window_size: 30
44+
send_every: 30
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humidity:
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name: "Humidity"
47+
id: humidity
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filters:
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- sliding_window_moving_average:
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window_size: 30
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send_every: 30
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53+
54+
- platform: template
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# Depends on another sensor providing an ID of pm_2_5 such as a pms5003
56+
name: "PM 2.5 AQI"
57+
id: pm_2_5_aqi
58+
update_interval: 5 min
59+
unit_of_measurement: "AQI"
60+
icon: "mdi:air-filter"
61+
accuracy_decimals: 0
62+
filters:
63+
- skip_initial: 1 # Need valid data from PM 2.5 sensor before able to calculate
64+
lambda: |-
65+
// https://en.wikipedia.org/wiki/Air_quality_index#Computing_the_AQI
66+
// Borrowed from https://github.com/kylemanna/sniffer/blob/master/esphome/sniffer_common.yaml
67+
if (id(pm_2_5).state <= 12.0) {
68+
// good
69+
return((50.0 - 0.0) / (12.0 - 0.0) * (id(pm_2_5).state - 0.0) + 0.0);
70+
} else if (id(pm_2_5).state <= 35.4) {
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// moderate
72+
return((100.0 - 51.0) / (35.4 - 12.1) * (id(pm_2_5).state - 12.1) + 51.0);
73+
} else if (id(pm_2_5).state <= 55.4) {
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// usg
75+
return((150.0 - 101.0) / (55.4 - 35.5) * (id(pm_2_5).state - 35.5) + 101.0);
76+
} else if (id(pm_2_5).state <= 150.4) {
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// unhealthy
78+
return((200.0 - 151.0) / (150.4 - 55.5) * (id(pm_2_5).state - 55.5) + 151.0);
79+
} else if (id(pm_2_5).state <= 250.4) {
80+
// very unhealthy
81+
return((300.0 - 201.0) / (250.4 - 150.5) * (id(pm_2_5).state - 150.5) + 201.0);
82+
} else if (id(pm_2_5).state <= 350.4) {
83+
// hazardous
84+
return((400.0 - 301.0) / (350.4 - 250.5) * (id(pm_2_5).state - 250.5) + 301.0);
85+
} else if (id(pm_2_5).state <= 500.4) {
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// hazardous 2
87+
return((500.0 - 401.0) / (500.4 - 350.5) * (id(pm_2_5).state - 350.5) + 401.0);
88+
} else {
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return(500);
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}

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