Add customizable room health options and tweak
Permits the user customization of the parameters of the Room Health Score, enabling fine-grained control over this metric instead of hardcoding values that may not be suitable for each person or room.
This commit is contained in:
308
README.md
308
README.md
@@ -118,144 +118,7 @@ functionality, so I recommend using the provided models, but this is up to the b
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No other parts can be easily swapped without code or PCB design changes.
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## Configurable Options
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There are several UI-configurable options with the SuperSensor to help you
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get the most out of the sensor for your particular use-case.
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**Note:** Configuration of the LD2410C is excluded here, as it is extensively
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configurable. See [the documentation](https://esphome.io/components/sensor/ld2410.html) for more details on its options.
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### Enable Voice Support (switch)
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If enabled (the default), the SuperSensor's voice functionality including
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wake word will be started, or it can be disabled to use the SuperSensor
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purely as a presence/environmental sensor.
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### Enable Presence LED (switch)
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If enabled (the default), when overall presence is detected, the LEDs will
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glow "white" at 15% power to signal presence.
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### Temperature Offset (selector, -30 to +10 @ 0.1, -5 default)
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Allows calibration of the SHT45 temperature sensor with an offset from -30 to +10
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degrees C. Useful if the sensor is misreporting actual ambient tempreatures. Due
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to internal heating of the SHT45 by the ESP32, this defaults to -5; further
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calibration may be needed for your sensors and environment based on an external
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reference.
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### Humidity Offset (selector, -20 to +20 @ 0.1)
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Allows calibration of the SHT45 humidity sensor with an offset from -10 to +10
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percent relative humidity. Useful if the sensor is misreporting actual humidity
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based on an external reference.
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### PIR Hold Time (selector, 0 to +60 @ 5, 0 default)
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The SuperSensor uses an AM312 PIR sensor, which has a stock hold time of ~2.5
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seconds. This setting allows increasing that value, with retrigger support, to
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up to 60 seconds, allowing the PIR detection to report for longer. 0 represents
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"as long as the AM312 fires".
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### Light Threshold Control (selector, 0 to +200 @ 5, 30 default)
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The SuperSensor features a "light presence" binary sensor based on the light
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level reported by the TSL2591 sensor. This control defines the minimum lux
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value from the sensor to be considered "presence". For instance, if you have
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a room that is usually dark at 0-5 lux, but illuminated to 100 lux when a
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(non-automated) light switch is turned on, you could set a threshold here
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of say 30 lux: then, while the light is on, "light presence" is detected,
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and when the light is off, "light presence" is cleared. Light presence can
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be used standalone or as part of the integrated occupancy sensor (below).
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### Integrated Occupancy Sensor (Selector)
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The SuperSensor features a fully integrated "occupancy" sensor, which can be
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configured to provide exactly the sort of occupancy detection you may want
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for your room.
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There are 7 options (plus "None"/disabled), with both "detect" and "clear"
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handled separately:
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#### PIR + Radar + Light
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Occupancy is detected when all 3 sensors report detected, and occupancy is
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cleared when any of the sensors report cleared.
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For detect, this provides the most "safety" against misfires, but requires
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a normally-dark room with a non-automated light source and clear PIR
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detection positioning.
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For clear, this option is probably not very useful as it is likely to clear
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quite frequently from the PIR, but is provided for completeness.
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#### PIR + Radar
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Occupancy is detected when both sensors report detected, and occupancy is
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cleared when either of the sensors report cleared.
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For detect, this provides good "safety" against PIR misfires without
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needing a normally-dark room, though detection may be slightly delayed
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from either sensor.
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For clear, this option is probably not very useful as it is likely to clear
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quite frequently from the PIR, but is provided for completeness.
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#### PIR + Light
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Occupancy is detected when both sensors report detected, and occupancy is
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cleared when either of the sensors report cleared.
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For detect, this provides some "safety" against PIR misfires, but requires
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a normally-dark room with a non-automated light source and clear PIR
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detection positioning.
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For clear, this option is probably not very useful as it is likely to clear
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quite frequently from the PIR, but is provided for completeness.
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#### Radar + Light
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Occupancy is detected when both sensors report detected, and occupancy is
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cleared when either of the sensors report cleared.
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For detect, this allows for radar detection while suppressing occupancy
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without light, for instance in a hallway where one might not want a late
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night bathroom visit to turn on the lights, or something to that effect.
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For clear, this option can provide a useful option to clear presence
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quickly if the lights go out, while still providing Radar presence.
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#### PIR Only
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Occupancy is based entirely on the PIR sensor for both detect and clear.
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Prone to misfires, but otherwise a good option for quick detection and
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clearance in a primarily-moving zone (e.g. hallway).
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#### Radar Only
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Occupancy is based entirely on the Radar sensor for both detect and clear.
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Useful for an area with no consistent motion or light level.
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#### Light Only
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Occupancy is based entirely on the Light sensor for both detect and clear.
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Useful for full dependence on an external light source.
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#### None
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Disable the functionality in either direction.
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For detect, no occupancy will ever fire.
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For clear, no states will clear occupancy; with any detect option, this
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means that occupancy will be detected only once and never clear, which
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is likely not useful.
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## AQ Details
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## Air Quality Handling
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The SuperSensor 2.0 features an SGP41 air quality sensor by Sensirion. This is a powerful AQ
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sensor which powers several commercial devices including the AirGradient One, which gave
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@@ -283,3 +146,172 @@ It also reacts strongly to heavy humidity, resulting in higher values in such en
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These should be used only as a general indication of air quality over short periods, rather
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than an absolute reference over long periods (much to my own frustration but inevitable
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begruding acceptance).
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## Room Health
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The SuperSensor 2.0 leverages the outputs of the SHT45 and SGP41 sensors to calculate a
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"Room Health", expressed as a percentage, which represents how "healthy" i.e. comfortable
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a room is for a person to be in.
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The room health is calculated based on the VOC level, temperature, and relative humidity.
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First, the raw value is converted to a per-sensor 100-0 scale as follows:
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* For VOC levels, there is a set of linear scales based on common VOC level
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mappings, such that less than 200 ppb is 100, 200-400 maps to 100-90,
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400-600 maps to 90-70, 600-1500 maps to 70-40, 1500-3000 maps to 40-0, and
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greater than 3000 is 0.
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* For temperature and humidity, there is a single linear scale based on a
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configurable penalty value, such that a value between the configurable
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minimum and maximum is 100, and each degree C or %RH outside of that range
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decreases the value by the penalty value.
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Next, each indivdual per-sensor value is applied to the total 100-0 value by a configurable
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weight, with the defaults being 40% to VOC level, 30% to temperature, and 30% to humidity. The
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values can never total more than 100% or total to 0% but are otherwise normalized (i.e. decrease
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others before increasing one, or the values will not be accepted; and at least one weight
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must be >0).
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The final result is thus a 100-0% range that, in broad strokes, describes the overall
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health of the room. For some examples, assuming all of the default values below:
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* Perfect: Temp 23C, humidity 50%RH, and VOC level 150ppb = 100% health
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* A little warm: Temp 25C (+1), humidity 50%RH, and VOC level 250ppb = 97% health
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* Dry: Temp 22C, humidity 30%RH (-10), VOC level 150ppb = 91% health
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* Dirty air: Temp 23C, humidity 50%RH, VOC level 800ppb = 85% health
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* Hot & humid: Temp 28C, humidity 70%RH, VOC level 250ppb = 84% health
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* All-around bad: Temp 30C, humidity 30%RH, VOC level 2000ppb = 52% health
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These are then mapped to textual values as well with the following bands:
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* 100%-95%: Great
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* 95%-90%: Good
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* 90%-80%: Fair
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* 80%-60%: Poor
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* 60%-0%: Bad
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As mentioned above, most portions of this are configurable; see the section below for
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specific details of each configuration value.
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## Configurable Options
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There are several UI-configurable options with the SuperSensor to help you
|
||||
get the most out of the sensor for your particular use-case.
|
||||
|
||||
**Note:** Configuration of the LD2410C is excluded here, as it is extensively
|
||||
configurable. See [the documentation](https://esphome.io/components/sensor/ld2410.html) for more details on its options.
|
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### Enable Voice Support (switch)
|
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|
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If enabled (the default), the SuperSensor's voice functionality including
|
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wake word will be started, or it can be disabled to use the SuperSensor
|
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purely as a presence/environmental sensor.
|
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### Enable Presence LED (switch)
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If enabled (the default), when overall presence is detected, the LEDs will
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glow "white" at 15% power to signal presence.
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### Temperature Offset (number, -30 to +10 @ 0.1, -5 default)
|
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Allows calibration of the SHT45 temperature sensor with an offset from -30 to +10
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degrees C. Useful if the sensor is misreporting actual ambient tempreatures. Due
|
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to internal heating of the SHT45 by the ESP32, this defaults to -5; further
|
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calibration may be needed for your sensors and environment based on an external
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reference.
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### Humidity Offset (number, -20 to +20 @ 0.1)
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Allows calibration of the SHT45 humidity sensor with an offset from -10 to +10
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percent relative humidity. Useful if the sensor is misreporting actual humidity
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based on an external reference.
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### PIR Hold Time (number, 0 to +60 @ 5, 0 default)
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The SuperSensor uses an AM312 PIR sensor, which has a stock hold time of ~2.5
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seconds. This setting allows increasing that value, with retrigger support, to
|
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up to 60 seconds, allowing the PIR detection to report for longer. 0 represents
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"as long as the AM312 fires".
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### Light Threshold Control (number, 0 to +200 @ 5, 30 default)
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The SuperSensor features a "light presence" binary sensor based on the light
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level reported by the TSL2591 sensor. This control defines the minimum lux
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value from the sensor to be considered "presence". For instance, if you have
|
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a room that is usually dark at 0-5 lux, but illuminated to 100 lux when a
|
||||
(non-automated) light switch is turned on, you could set a threshold here
|
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of say 30 lux: then, while the light is on, "light presence" is detected,
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and when the light is off, "light presence" is cleared. Light presence can
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be used standalone or as part of the integrated occupancy sensor (below).
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### Integrated Occupancy Sensor (selector)
|
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The SuperSensor features a fully integrated "occupancy" sensor, which can be
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configured to provide exactly the sort of occupancy detection you may want
|
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for your room.
|
||||
|
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There are 7 options (plus "None"/disabled), with both "detect" and "clear"
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handled separately. Occupancy is always detected when ALL of the selected
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sensors report detection, and occupancy is always cleared when ANY of the
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selected sensors stop reporting detection (logical AND in, logical OR out).
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* PIR + Radar + Light
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* PIR + Radar
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* PIR + Light
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* Radar + Light
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* PIR Only
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* Radar Only
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* Light Only
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* None
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### Room Health Sensor
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#### Minimum Temperature (number, 15 to 30 @ 0.5, 21 default)
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The lower bounds of a fully comfortable temperature; temperature values below
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this value will begin decreasing the room health score.
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#### Maximum Temperature (number, 15 to 30 @ 0.5, 24 default)
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The upper bounds of a fully comfortable temperature; temperature values above
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this value will begin decreasing the room health score.
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#### Temperature Penalty (number, 1 to 20 @ 1, 10 default)
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The penalty value per degree of temperature deviation from ideal levels, applied
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to the pre-weighting value for temperature.
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#### Minimum Humidity (number, 20 to 80 @ 1, 40 default)
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The lower bounds of a fully comfortable relative humidity level; relative
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humidity values below this value will begin decreasing the room health score.
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#### Maximum Humidity (number, 20 to 80 @ 1, 60 default)
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The upper bounds of a fully comfortable relative humidity level; relative
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humidity values above this value will begin decreasing the room health score.
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#### Humidity Penalty (number, 1 to 10 @ 1, 5 default)
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The penalty value per % of relative humidity deviation from ideal levels, applied
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to the pre-weighting value for humidity.
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#### VOC Weight (number, 0.0 to 1.0, 0.4 default)
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The weighting value of the VOC score relative to the other two for calculating
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the total room health.
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Note: Cannot exceed 0.4 without first decreasing one of the other weights (total max of 1.0).
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#### Temperature Weight (number, 0.0 to 1.0, 0.3 default)
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The weighting value of the Temperature score relative to the other two for
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calculating the total room health.
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Note: Cannot exceed 0.3 without first decreasing one of the other weights (total max of 1.0).
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#### Humidity Weight (number, 0.0 to 1.0, 0.3 default)
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The weighting value of the Humidity score relative to the other two for calculating
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the total room health.
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Note: Cannot exceed 0.3 without first decreasing one of the other weights (total max of 1.0).
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265
supersensor.yaml
265
supersensor.yaml
@@ -89,6 +89,51 @@ globals:
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restore_value: true
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initial_value: "0.0"
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- id: room_health_temperature_min
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type: float
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restore_value: true
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initial_value: "21.0"
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- id: room_health_temperature_max
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type: float
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restore_value: true
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initial_value: "24.0"
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- id: room_health_temperature_penalty
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type: float
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restore_value: true
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initial_value: "10.0"
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- id: room_health_humidity_min
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type: float
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restore_value: true
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initial_value: "40.0"
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- id: room_health_humidity_max
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type: float
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restore_value: true
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initial_value: "60.0"
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- id: room_health_humidity_penalty
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type: float
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restore_value: true
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initial_value: "5.0"
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- id: room_health_voc_weight
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type: float
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restore_value: true
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initial_value: "0.4"
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- id: room_health_temperature_weight
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type: float
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restore_value: true
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initial_value: "0.3"
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- id: room_health_humidity_weight
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type: float
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restore_value: true
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initial_value: "0.3"
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- id: pir_hold_time
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type: int
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restore_value: true
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@@ -666,25 +711,55 @@ sensor:
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float temp = id(sht45_temperature).state;
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float humidity = id(sht45_humidity).state;
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// VOC Score (0–100)
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float voc_score = 0;
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if (voc_index <= 100) voc_score = 100;
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else if (voc_index <= 200) voc_score = 80;
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else if (voc_index <= 300) voc_score = 60;
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else if (voc_index <= 400) voc_score = 40;
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else if (voc_index <= 500) voc_score = 50;
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else voc_score = 0;
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float temp_min = id(room_health_temperature_min);
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float temp_max = id(room_health_temperature_max);
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float temp_penalty = id(room_health_temperature_penalty);
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float humid_min = id(room_health_humidity_min);
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float humid_max = id(room_health_humidity_max);
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float humid_penalty = id(room_health_humidity_penalty);
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float voc_weight = id(room_health_voc_weight);
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float temp_weight = id(room_health_temperature_weight);
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float humid_weight = id(room_health_humidity_weight);
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// Temperature Score (0–100)
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float temp_score = 100.0 - abs(temp - 23.0) * 10.0;
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// VOC score (0–100) mapped to categories from Chemical Pollution levels below
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float voc_score;
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if (voc_index <= 200) {
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voc_score = 100.0;
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} else if (voc_index <= 400) {
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// 200–400: 100 → 90
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voc_score = 100.0 - (voc_index - 200) * (10.0 / 200.0);
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} else if (voc_index <= 600) {
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// 400–600: 90 → 70
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voc_score = 90.0 - (voc_index - 400) * (20.0 / 200.0);
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} else if (voc_index <= 1500) {
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// 600–1500: 70 → 40
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voc_score = 70.0 - (voc_index - 600) * (30.0 / 900.0);
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} else if (voc_index <= 3000) {
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// 1500–3000: 40 → 0
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voc_score = 40.0 - (voc_index - 1500) * (40.0 / 1500.0);
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} else {
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voc_score = 0.0;
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}
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// Temperature score
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float temp_score = 100;
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if (temp < temp_min) temp_score = 100 - (temp_min - temp) * temp_penalty;
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else if (temp > temp_max) temp_score = 100 - (temp - temp_max) * temp_penalty;
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if (temp_score < 0) temp_score = 0;
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// Humidity Score (0–100), ideal range 35–55%
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float humidity_score = 100.0 - abs(humidity - 50.0) * 3.0;
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// Humidity score
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float humidity_score = 100;
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if (humidity < humid_min) humidity_score = 100 - (humid_min - humidity) * humid_penalty;
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else if (humidity > humid_max) humidity_score = 100 - (humidity - humid_max) * humid_penalty;
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if (humidity_score < 0) humidity_score = 0;
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// Weighted average
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float overall_score = (voc_score * 0.5 + temp_score * 0.25 + humidity_score * 0.25);
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float total_weights = voc_weight + temp_weight + humid_weight;
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if (total_weights <= 0) total_weights = 1.0;
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voc_weight /= total_weights;
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temp_weight /= total_weights;
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humid_weight /= total_weights;
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float overall_score = (voc_score * voc_weight + temp_score * temp_weight + humidity_score * humid_weight);
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return (int) round(overall_score);
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update_interval: 15s
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@@ -825,10 +900,10 @@ text_sensor:
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lambda: |-
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float voc_index = id(sgp41_voc_index).state;
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if (voc_index < 1 || voc_index > 500) return {"Unknown"};
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if (voc_index <= 100) return {"Excellent"};
|
||||
else if (voc_index <= 200) return {"Good"};
|
||||
else if (voc_index <= 300) return {"Moderate"};
|
||||
else if (voc_index <= 400) return {"Unhealthy"};
|
||||
if (voc_index <= 200) return {"Excellent"};
|
||||
else if (voc_index <= 400) return {"Good"};
|
||||
else if (voc_index <= 600) return {"Moderate"};
|
||||
else if (voc_index <= 1500) return {"Unhealthy"};
|
||||
else return {"Hazardous"};
|
||||
update_interval: 15s
|
||||
|
||||
@@ -839,10 +914,10 @@ text_sensor:
|
||||
lambda: |-
|
||||
float score = id(room_health_score).state;
|
||||
if (score < 0) return {"Unknown"};
|
||||
else if (score >= 90.0) return {"Great"};
|
||||
else if (score >= 80.0) return {"Good"};
|
||||
else if (score >= 60.0) return {"Fair"};
|
||||
else if (score >= 40.0) return {"Poor"};
|
||||
else if (score >= 95.0) return {"Great"};
|
||||
else if (score >= 90.0) return {"Good"};
|
||||
else if (score >= 80.0) return {"Fair"};
|
||||
else if (score >= 60.0) return {"Poor"};
|
||||
else return {"Bad"};
|
||||
update_interval: 15s
|
||||
|
||||
@@ -965,6 +1040,154 @@ number:
|
||||
id: light_presence_threshold
|
||||
value: !lambda 'return int(x);'
|
||||
|
||||
# Room Health Calibration Values
|
||||
# These values allow the user to tweak the values of the room health calculation
|
||||
- platform: template
|
||||
name: "Room Health Min Temperature"
|
||||
id: room_health_temperature_min_setter
|
||||
min_value: 15
|
||||
max_value: 30
|
||||
step: 0.5
|
||||
lambda: |-
|
||||
return id(room_health_temperature_min);
|
||||
set_action:
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_temperature_min
|
||||
value: !lambda 'return float(x);'
|
||||
- platform: template
|
||||
name: "Room Health Max Temperature"
|
||||
id: room_health_temperature_max_setter
|
||||
min_value: 15
|
||||
max_value: 30
|
||||
step: 0.5
|
||||
lambda: |-
|
||||
return id(room_health_temperature_max);
|
||||
set_action:
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_temperature_max
|
||||
value: !lambda 'return float(x);'
|
||||
- platform: template
|
||||
name: "Room Health Temperature Penalty"
|
||||
id: room_health_temperature_penalty_setter
|
||||
min_value: 1
|
||||
max_value: 20
|
||||
step: 1
|
||||
lambda: |-
|
||||
return int(id(room_health_temperature_penalty));
|
||||
set_action:
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_temperature_penalty
|
||||
value: !lambda 'return float(x);'
|
||||
- platform: template
|
||||
name: "Room Health Min Humidity"
|
||||
id: room_health_humidity_min_setter
|
||||
min_value: 20
|
||||
max_value: 80
|
||||
step: 1.0
|
||||
lambda: |-
|
||||
return id(room_health_humidity_min);
|
||||
set_action:
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_humidity_min
|
||||
value: !lambda 'return float(x);'
|
||||
- platform: template
|
||||
name: "Room Health Max Humidity"
|
||||
id: room_health_humidity_max_setter
|
||||
min_value: 20
|
||||
max_value: 80
|
||||
step: 1.0
|
||||
lambda: |-
|
||||
return id(room_health_humidity_max);
|
||||
set_action:
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_humidity_max
|
||||
value: !lambda 'return float(x);'
|
||||
- platform: template
|
||||
name: "Room Health Humidity Penalty"
|
||||
id: room_health_humidity_penalty_setter
|
||||
min_value: 1
|
||||
max_value: 10
|
||||
step: 1
|
||||
lambda: |-
|
||||
return int(id(room_health_humidity_penalty));
|
||||
set_action:
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_humidity_penalty
|
||||
value: !lambda 'return float(x);'
|
||||
- platform: template
|
||||
name: "Room Health VOC Weight"
|
||||
id: room_health_voc_weight_setter
|
||||
min_value: 0.00
|
||||
max_value: 1.00
|
||||
step: 0.01
|
||||
lambda: |-
|
||||
return id(room_health_voc_weight);
|
||||
set_action:
|
||||
- if:
|
||||
condition:
|
||||
lambda: |-
|
||||
float total = x + id(room_health_temperature_weight) + id(room_health_humidity_weight);
|
||||
return (total > 0.0) && (total <= 1.0);
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_voc_weight
|
||||
value: !lambda 'return float(x);'
|
||||
else:
|
||||
- logger.log:
|
||||
format: "Rejected VOC weight %.2f (total would be out of range: must be > 0.0 and ≤ 1.0)"
|
||||
args: [ 'x' ]
|
||||
- platform: template
|
||||
name: "Room Health Temperature Weight"
|
||||
id: room_health_temperature_weight_setter
|
||||
min_value: 0.00
|
||||
max_value: 1.00
|
||||
step: 0.01
|
||||
lambda: |-
|
||||
return id(room_health_temperature_weight);
|
||||
set_action:
|
||||
- if:
|
||||
condition:
|
||||
lambda: |-
|
||||
float total = x + id(room_health_voc_weight) + id(room_health_humidity_weight);
|
||||
return (total > 0.0) && (total <= 1.0);
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_temperature_weight
|
||||
value: !lambda 'return float(x);'
|
||||
else:
|
||||
- logger.log:
|
||||
format: "Rejected Temperature weight %.2f (total would be out of range: must be > 0.0 and ≤ 1.0)"
|
||||
args: [ 'x' ]
|
||||
- platform: template
|
||||
name: "Room Health Humitity Weight"
|
||||
id: room_health_humidity_weight_setter
|
||||
min_value: 0.00
|
||||
max_value: 1.00
|
||||
step: 0.01
|
||||
lambda: |-
|
||||
return id(room_health_humidity_weight);
|
||||
set_action:
|
||||
- if:
|
||||
condition:
|
||||
lambda: |-
|
||||
float total = x + id(room_health_temperature_weight) + id(room_health_voc_weight);
|
||||
return (total > 0.0) && (total <= 1.0);
|
||||
then:
|
||||
- globals.set:
|
||||
id: room_health_humidity_weight
|
||||
value: !lambda 'return float(x);'
|
||||
else:
|
||||
- logger.log:
|
||||
format: "Rejected Humidity weight %.2f (total would be out of range: must be > 0.0 and ≤ 1.0)"
|
||||
args: [ 'x' ]
|
||||
|
||||
# LD2410c configuration values
|
||||
- platform: ld2410
|
||||
timeout:
|
||||
name: "LD2410C Timeout"
|
||||
|
||||
Reference in New Issue
Block a user