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| 1 | +# Used for a second PMS5003T in the same device, such as the Open Air O-1PPT |
| 2 | +sensor: |
| 3 | + - platform: pmsx003 |
| 4 | + # Default interval of updating every second, but using an average over the last 30 seconds/readings |
| 5 | + # PMS5003T with temperature and humidity https://esphome.io/components/sensor/pmsx003.html |
| 6 | + type: PMS5003T # ! Don't forget to change this back to T |
| 7 | + uart_id: senseair_s8_uart |
| 8 | + pm_2_5: |
| 9 | + name: "PM 2.5 (2)" |
| 10 | + id: pm_2_5_2 |
| 11 | + device_class: pm25 # Added to report properly to HomeKit |
| 12 | + filters: |
| 13 | + - sliding_window_moving_average: |
| 14 | + window_size: 30 |
| 15 | + send_every: 30 |
| 16 | + pm_1_0: |
| 17 | + name: "PM 1.0 (2)" |
| 18 | + id: pm_1_0_2 |
| 19 | + device_class: pm1 # Added to report properly to HomeKit |
| 20 | + filters: |
| 21 | + - sliding_window_moving_average: |
| 22 | + window_size: 30 |
| 23 | + send_every: 30 |
| 24 | + pm_10_0: |
| 25 | + name: "PM 10.0 (2)" |
| 26 | + id: pm_10_0_2 |
| 27 | + device_class: pm10 # Added to report properly to HomeKit |
| 28 | + filters: |
| 29 | + - sliding_window_moving_average: |
| 30 | + window_size: 30 |
| 31 | + send_every: 30 |
| 32 | + pm_0_3um: |
| 33 | + name: "PM 0.3 (2)" |
| 34 | + id: pm_0_3um_2 |
| 35 | + filters: |
| 36 | + - sliding_window_moving_average: |
| 37 | + window_size: 30 |
| 38 | + send_every: 30 |
| 39 | + temperature: |
| 40 | + name: "Temperature (2)" |
| 41 | + id: temp_2 |
| 42 | + filters: |
| 43 | + # https://www.airgradient.com/blog/slr-temperature-example/ |
| 44 | + # - lambda: return (x - 4.55) / 0.83; # Once the negative number issue fix is merged in https://github.com/esphome/issues/issues/3814 |
| 45 | + - lambda: !lambda |- |
| 46 | + // Fix negative values for now |
| 47 | + if (x > 6000) { |
| 48 | + return (x - 6553.6 - 4.55) / 0.83; |
| 49 | + } |
| 50 | + return (x - 4.55) / 0.83; |
| 51 | + - sliding_window_moving_average: |
| 52 | + window_size: 30 |
| 53 | + send_every: 30 |
| 54 | + humidity: |
| 55 | + name: "Humidity (2)" |
| 56 | + id: humidity_2 |
| 57 | + filters: |
| 58 | + # https://www.airgradient.com/blog/linear-regression-improves-sensor-accuracy/ |
| 59 | + # - lambda: return x * 1.500574 - 4.76; |
| 60 | + # https://forum.airgradient.com/t/open-air-outdoor-air-quality-monitor-humidity-readings-are-off/1171/2 |
| 61 | + - lambda: return x * 1.3921 - 1.0245; |
| 62 | + - sliding_window_moving_average: |
| 63 | + window_size: 30 |
| 64 | + send_every: 30 |
| 65 | + |
| 66 | +# Average the readings from both sensors to return a value |
| 67 | + - platform: template |
| 68 | + id: pm_2_5_avg |
| 69 | + name: "PM 2.5 (Average)" |
| 70 | + lambda: return (id(pm_2_5).state + id(pm_2_5_2).state) / 2.0; |
| 71 | + device_class: pm25 |
| 72 | + unit_of_measurement: µg/m³ |
| 73 | + icon: mdi:chemical-weapon |
| 74 | + accuracy_decimals: 0 |
| 75 | + state_class: measurement |
| 76 | + update_interval: 1s |
| 77 | + filters: |
| 78 | + - sliding_window_moving_average: |
| 79 | + window_size: 30 |
| 80 | + |
| 81 | + - platform: template |
| 82 | + id: pm_1_0_avg |
| 83 | + name: "PM 1.0 (Average)" |
| 84 | + lambda: return (id(pm_1_0).state + id(pm_1_0_2).state) / 2.0; |
| 85 | + device_class: pm1 |
| 86 | + unit_of_measurement: µg/m³ |
| 87 | + icon: mdi:chemical-weapon |
| 88 | + accuracy_decimals: 0 |
| 89 | + state_class: measurement |
| 90 | + update_interval: 1s |
| 91 | + filters: |
| 92 | + - sliding_window_moving_average: |
| 93 | + window_size: 30 |
| 94 | + |
| 95 | + - platform: template |
| 96 | + id: pm_10_0_avg |
| 97 | + name: "PM 10.0 (Average)" |
| 98 | + lambda: return (id(pm_10_0).state + id(pm_10_0_2).state) / 2.0; |
| 99 | + device_class: pm10 |
| 100 | + unit_of_measurement: µg/m³ |
| 101 | + icon: mdi:chemical-weapon |
| 102 | + accuracy_decimals: 0 |
| 103 | + state_class: measurement |
| 104 | + update_interval: 1s |
| 105 | + filters: |
| 106 | + - sliding_window_moving_average: |
| 107 | + window_size: 30 |
| 108 | + |
| 109 | + - platform: template |
| 110 | + id: pm_0_3um_avg |
| 111 | + name: "PM 0.3 (Average)" |
| 112 | + lambda: return (id(pm_0_3um).state + id(pm_0_3um_2).state) / 2.0; |
| 113 | + unit_of_measurement: /dL |
| 114 | + icon: mdi:chemical-weapon |
| 115 | + accuracy_decimals: 0 |
| 116 | + state_class: measurement |
| 117 | + update_interval: 1s |
| 118 | + filters: |
| 119 | + - sliding_window_moving_average: |
| 120 | + window_size: 30 |
| 121 | + |
| 122 | + - platform: template |
| 123 | + id: temp_avg |
| 124 | + name: "Temperature (Average)" |
| 125 | + lambda: return (id(temp).state + id(temp_2).state) / 2.0; |
| 126 | + unit_of_measurement: °C |
| 127 | + accuracy_decimals: 1 |
| 128 | + device_class: temperature |
| 129 | + state_class: measurement |
| 130 | + icon: mdi:thermometer |
| 131 | + update_interval: 1s |
| 132 | + filters: |
| 133 | + - sliding_window_moving_average: |
| 134 | + window_size: 30 |
| 135 | + |
| 136 | + - platform: template |
| 137 | + id: humidity_avg |
| 138 | + name: "Humidity (Average)" |
| 139 | + lambda: return (id(humidity).state + id(humidity_2).state) / 2.0; |
| 140 | + unit_of_measurement: '%' |
| 141 | + accuracy_decimals: 1 |
| 142 | + device_class: humidity |
| 143 | + state_class: measurement |
| 144 | + icon: mdi:water-percent |
| 145 | + update_interval: 1s |
| 146 | + filters: |
| 147 | + - sliding_window_moving_average: |
| 148 | + window_size: 30 |
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