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Датчик качества воздуха EFEKTA Smart Air Quality Box

Приветствую всех читателей Habr, сегодня хочу рассказать вам о моем новом интересном проекте для умного дома — многофункциональном датчике качества воздуха EFEKTA Smart Air Quality Box , работающем на протоколе Zigbee 3.0. Современные технологии умного дома активно развиваются, и одним из ключевых аспектов комфортной жизни становится контроль микроклимата. Качество воздуха в помещении напрямую влияет на здоровье, работоспособность и общее самочувствие. Если вам интересна тема контроля качества воздуха и вы хотите узнать чем закончилась эта разработка — добро пожаловать под кат.

https://habr.com/ru/articles/910330/

#co2 #tvoc #pm1 #pm25 #pm4 #pm10 #air_quality #атмосферное_давление #pressure #zigbee #zigbee2mqtt #spruthub #home_assistant #cc2530 #scd40 #sgp40 #bme280 #sps30

My #airQuality monitor is finlazed with a temperature and humidity sensor. You can see on the graph when I was soldering. I'm glad I'm not doing that activity very often!

I am trying to categorize the sensor readings into ranges: perfect, healthy, average, bad, and terrible. However, I am having difficulty determining the ranges and a formula to categorize them using a single sensor.

Any advice?

Check #alttext for details
#ESPHome #SPS30 #HomeAssistant #diy #AirQualityMonitoring #pm25 #aqi

Close up of my Air Quality Monitor with an ESP8086 (D1 Mini) and an Sensirion SPS30.

One of my friends told me it looks like a bomb. :-)

Home Assistant dashboard of the sensor. You can see the pick during my sodding time.

I had a fun #ESPHome project today, creating an interior air quality monitor using an #SPS30 Particulate Matter Sensor and a #D1Mini. I added the sensor to #HomeAssistant, and the values look good based on ChatGPT analytics.

Next, I want to aggregate the results into a global air quality sensor with categories like perfect, healthy, average, bad, and terrible.

Of course, I need to wire this setup better.

Prototype of a D1 Mini and the SPS30 Particulate Matter Sensor with temporary wiring

The sensor setup in Home Assistant via ESPHome

Device details of the sensor in Home Assistant

PM <1µm Weight concentration = 1.62735 µg/m³
PM <2.5µm Weight concentration = 2.62083 µg/m³
PM <4µm Weight concentration = 3.34919 µg/m³
PM <10µm Weight concentration = 3.49487 µg/m³
PM <0.5µm Number concentration = 9.24807 #/cm³
PM <1µm Number concentration = 11.92591 #/cm³
PM <2.5µm Number concentration = 12.92921 #/cm³
PM <4µm Number concentration = 13.13637 #/cm³
PM <10µm Number concentration = 13.16629 #/cm³
Typical Particle size = 0.76707 µm

ChatGPT Conclusion

Based on the provided data, the indoor environment appears to be healthy. The concentrations of particulate matter (both in weight and number) are significantly below the recommended limits set by health organizations. Therefore, you can consider the air quality in your indoor environment to be good.

@DesRoin there are devices / sensors, for example the #sps30 PM sensors, that supports both #i2c and #uart connections. There are two drivers, one for i2c and one for uart. i2c can be attached in various ways.
But I have no idea how you are supposed to tell linux that behind this USB UART dongle, say /dev/ttyUSB0, is a sps30 that you should talk too with this driver. There is a very simple #devicetree example that does not help at all.

Even a "your bug report sucks, go fuck yourself " would be nicer than complete silence for two months, especially when other bugs are getting attention just fine.
#raspberrypi #bugreport #linux #sps30

Why do I bother again.. #bugreport #raspberrypi #sps30 #kernelpanic

Kernel panic it is then. #sps30 #i2c

#sps30

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