Adding a Temperature Sensor to my Flat

I live in London now, and on the 18th and 19th of July this year, the UK saw its highest recorded temperatures ever. The south-east of England was particularly affected. I personally struggle a lot with heat, and knowing I would find temperatures of up to 40°C unbearable, I escaped London to slightly chillier Portsmouth.

However, before I left, I thought it would be really cool to see how the temperature and humidity in the flat change during the heat wave while I’m away. Luckily enough, I realised I had a Raspberry Pi Zero and a BME280 temperature sensor, so I got to work putting them together. You can get the sensor from Adafruit — it’s easy to connect via I2C and it seems to be quite well-supported when it comes to Linux drivers. Here’s what it all looks like.

A Raspberry Pi connected to a temperature
My Raspberry Pi Zero connected to the BME280

The next stop was to write some code to get the data off of the sensor. I put together something super quick in Go using a driver someone had already written, and this allowed me to read the temperature, humidity, and atmospheric pressure in a particular instant.

package main

import (



func main() {
	d, err := i2c.Open(&i2c.Devfs{Dev: "/dev/i2c-1"}, bme280.I2CAddr)
	if err != nil {

	b := bme280.New(d)
	err = b.Init()
	temp, pres, hum, err := b.EnvData()
	if err != nil {

	fmt.Printf("date=%s ", time.Now().Format(time.RFC3339))
	fmt.Printf("temp=%f ", temp)
	fmt.Printf("pres=%f ", pres)
	fmt.Printf("hum=%f\n", hum)

I collected this data every second with a crontab, and sent it off to a webserver. The next step was to make a small web page to interactively display the live data. I normally would have built something custom with D3, but I really didn’t want to spend any time on this, so I just used an off-the-shelf plotting library to put something together real quick. Unfortunately, this resulted in a 4.4MB page size, but this page is really only for my own use anyway, so whatever.

Here’s what the result looks like! :)

A graph of the temperature in my
A graph of the temperature in my flat

You can access the live version at, which has real-time values from my flat, including humidity and atmospheric pressure.

Right away, I noticed some really interesting stuff in the data. First of all, it’s amazing how smoothly and regularly the temperature changed during Monday and Tuesday, when I was away. I guess that, without any human intervention, and in particular without any ventilation, the temperature changes quite gradually.

You probably noticed the sudden drop in temperature on the 20th, which is when I got back home and opened all the windows. At this point it had gotten cooler outside than it was inside, so ventilation really helped decrease the temperature.

Since then, constant shuffling about and opening and closing windows seems to cause constant spikes in temperature and humidity. I guess this makes sense, but it’s kind of cool and unexpected to see the magnitude of these changes.

The heat wave is (thankfully) long over, but it’s going to be fun looking at these graphs in the future!