Raspberry Pi Pico

cross-posted from: https://lemmy.ml/post/33469454

(Cross-posting this across several communities in hopes of getting some discussion.)

I'm currently building some indoor climate sensors for my home. My idea is to have temperature, humidity, noise, light, VOC and CO2 readings at a relatively high frequency reporting to my MQTT server.

I am currently setting up some different temperature sensors, and I want to calibrate them (hopefully just a linear offset) and evaluate them on some metrics, such as sensor-to-sensor consistency and accuracy.

To calibrate and evaluate the accuracy, I would need a source of truth, and ideally I would also be able to cycle it through a range of realistic values for the given metric.

What are your strategies to tackling these things? Do you assume the sensors are already well-calibrated and don't bother with this? Do you have a dedicated reader for any sensor value you would want to calibrate?