You’re probably wondering why do I want to use a hacked firmware with my thermostat? The primary use case is offline/ non eWelink/ cloud connected usage, as-in leveraging the smart capabilities of the thermostat without having to leverage the cloud to drive it. This also enables you to choose the home automation platform that you use ther thermostat with, for example you can use Home Assistant.
You can purchase these devices on eBay, AliExpress, Bangood and other auction sites, I’ve also seen them available at some US retailers. These units typically sell for anything between 20-30 Pounds, or about 40 USD at time of writing. With a little time invested you can great ‘big-brand’-like capabilities for a comparatively small outlay.
Look out for:
It’s worth noting that you’ll need both a live and neutral connection to power your thermostat. Unfortunately if you don’t have a neutral you won’t be able to use these devices.
To hack your Wi-Fi thermostat you’re going to need:
We’ll be using the awesome firmware created by Klaus Ahrenberg, well actually a fork of it created by Folke Ashberg, links to the associated repositories are in the description below. In case you’re wondering, the drivers for using Folke’s fork is that there is support for custom NTP configuration and Home Assistant automatic discovery.
At this stage I should probably remind you that flashing modified firmware to your device will void any remaining warranty. I’ll also add that any wiring should be completed by a competent and qualified electrician (note these two can be mutually exclusive), you potentially risk your life and /or your home, and that’s on you, not me.
So with the disclaimer out of the way let’s get hacking… actually you can put the soldering iron away, unless you’re a gluten for punishment and then follow the link and stop watching this video! The simplest way to hack your thermostat is to use Tuya Covert, you’ll also find a link to this in the description below.
We’re going to run Tuya Convert on the Raspberry Pi, that by now you hopefully have setup running Raspberry Pi OS. In all honesty any laptop, or other Linux distribution, within reason, will likely work without issue.
First you need to get the Thermostat into flashing mode, you can do this by powering off the device using the front panel, then holding the ‘down arrow’ for approx. 10 seconds. You’ll know it’s working when the screen / wifi-symbol starts flashing – the Thermostat is now ready/ waiting for instructions.
Next we’ll move on to installing Tuya Convert on the Raspberry Pi. You’ll find the commands I use in this part of the video in the description below.
We download the latest Tuya-Convert source files using git.
git clone https://github.com/ct-Open-Source/tuya-convert
Next we download the hacked firmware image, ready for flashing to the Thermostat.
cd tuya-convert/files
wget https://github.com/fashberg/WThermostatBeca/releases/download/v1.16.beta5-fas/wthermostat-1.16.beta5-fas.bin
cd ..
Now we install the pre-requisites for Tuya Covert to run.
./install_prereq.sh
Now, finally(!), we can flash the hacked firmware to the Thermostat itself. Kick-off the flashing process by executing the start_flash.sh script.
./start_flash.sh
When prompted, press Enter to proceed with the flashing process.
It make take a minute or so to progress beyond the Smart Config stage, so just be patient.
Once the Smart Config stage has completed, Tuya Convert will backup the existing firmware, just wait it out, you may be greatful for this back-up in future.
Now the backup has completed we’re presented with firmware images to flash to the Thermostat. Enter the number associated with the image downloaded earlier, for me it was simply a case of entering #3 and pressing enter.
So you’re finally here… the point of no return (well, not quite, but you’ll potentially be soldering). Hit ‘Y’ to continue with the firmware flash, then wait for it to finish.
When the flashing process has completed, you’ll be asked if you want to flash another device… only you know the answer to that question. I did not, so entered ‘N’ and Tuya-Convert cleaned itself up and closed.
At this point there should be a new Thermostat SSID being broadcast, if not power off the Thermostat as before, hold down the ‘down arrow’ and wait for the backlight/ wifi icon to start flashing.
Using a mobile phone, or other wireless device, connect to this new wireless network, using the password ‘12345678’ – if using an Android device you should be prompted to ‘sign-in’ to the network which will then present the configuration page for the Thermostat.
Hit the ‘Configure Network’ button and then enter your wireless SSID and password.
Enter your wireless network SSID and password. At this stage I’d also suggest disabling MQTT Support, we’ll come to that once we have the device connected to your network. Hit ‘Save Configuration’ and the device will restart, hopefully connecting to your specified network.
You’ll need to identify the IP Address that is provided to the Thermostat as it joins your network. How to do this varies (significantly) by network, so I’ll leave you to figure that out before proceeding.
Once you have the IP address for the device, open a browser on any device connected to the same network, and browse to http://.
Now you’re back to the configuration page return to the ‘Configure Network’ page and enable MQTT support and complete the server/ credentials configuration to match your environment. At this point you can also choose to enable support for Home Assistant Autodiscovery.
Note that if you are using an ACL file on your MQTT server you’ll need to configure this appropraitely.
Hit ‘Save Configuration’ to again restart the Thermostat.
You’re done, and now can integrate the thermostat into your Smart Home platform such as Node-RED (be sure to check out the Alexa and Google Home integration for Node-RED), Home Assistant, OpenHAB etc.
]]>I’ll start by saying that I’m a huge advocate for the Wi-Fi Smart Home. Wireless is ubiquitous and thus the barriers to entry are low. For a good proportion of automation scenarios it is simply “good enough.”
So you’re probably wondering where Zigbee fits then… well for me Zigbee offers flexibility. I’m able to place Zigbee sensors (for example motion sensors or contact sensors) where I have no means to power them, and where Wi-Fi would drain batteries in days or a few weeks at a push (Wi-Fi simply needs more power than Zigbee does).
It’s not about Wi-Fi VS. Zigbee, Wi-Fi OR Zigbee, it’s about Wi-Fi AND ZigBee, and that is where the Sonoff Zigbee bridge comes in.
You can pickup a Sonoff Zigbee Bridge for around £10-£15, or $15-$20 at time of writing. eBay, Aliexpress, Bangood all have the device available. ZigBee sensors are also good value, I was able to find Zigbee motion sensors for £6/ $8 and contact sensors for similar money, so in reality you can get up and running without breaking the bank.
The Sonoff Zigbee Bridge connects to your Wi-Fi and enables you to control Sonoff and other vendors’ Zigbee devices with the eWeLink App and Cloud, alongside other Sonoff/ eWelink compatible Wi-Fi devices. You can also use Zigbee devices to trigger/ interact with your Wi-Fi devices – so the possibilities here are really interesting.
The next big question is ‘why Tasmota?’ Reducing complexity in systems makes them easier to maintain in the long-run.
Complex systems, comprised of many different components and the software or services required to support become harder and hader to maintain as they grow. The greater the variation, the greater the complexity.
I use Tasmota across virtually all of the Wi-Fi equipment in my smart home. This means that I’m able to have one update process, and primarily need to know the ins and outs of one solution, instead of several to keep my smart home running.
Flashing the Zigbee Bridge is pretty simple, thanks to the Open Source Communities behind Tasmota, Tasmotizer and Zigbee2Tasmota.
ZbBridge | FTDI Adapter |
ETX | RX |
ERX | TX |
IO0 | GND |
GND | GND |
3V3 | 3V3 |
Before proceeding you’ll need to identify the IP address of the Zigbee bridge, likely provided by your router. Once identified, on a device connected to the same network open a browser session and browse to the IP address of the Zigbee bridge.
At this pont you’d normally be done if this was a traditional Wi-Fi-only module, however we now have to flash the Zigbee module within the bridge.
You’re now set to configure the device as you would any other Tasmota Wi-Fi device – at the very least set the MQTT server/ credential configuration, friendly name and MQTT topic for your environment.
To pair Zigbee devices, you need set the bridge into pairing mode using the ‘ZbPermitJoin 1‘ Tasmota console command. This will allow pairing for 60 seconds.
Now, on a device such as the Sonoff Zigbee Motion sensor, press and hold the pairing button, then watch the cosole for more pairing confirmation.
And with that we’re done. The bridge is ready, and your Zigbee sensors or devices are paired. It’s time to building your automation(s).
]]>The final parts list is as below:
I tested several sensors in arriving at the specification outlined above:
Different electronics demanded a (slightly) different case, I also found the original case to be somewhat “cosy” – it was a real squeeze getting everything into the 3D printed case. I ended up iterating on Ben’s design, modifying it to be taller, with a cut out for the BH1750 to sit on top. You can see/ download the revised design at Thingiverse.
My initial goal was to use the PIR as a trigger for a Node-RED-based automation that would switch the MQTT-enabled lights *OFF* in a room where there had been no movement for some time. The sensors, and modified code worked well for this purpose, however I started to run into issues as I expand the use of the devices, namely:
Tasmota to the rescue! I’ve been using Tasmota-powered MQTT/ Wifi light switches throughout my house for a while and it hadn’t dawned on my that I could use the same software in my multi-sensors.
Using the configuration below, with the device set to “Generic (18)” I was able to get like-for-like performance/ functionality (including the PIR triggering the red LED on motion) without the hanging/ zero-value measurement issues:
Wiring diagram below for reference:
Whilst the service is still “in development” the most significant updates for Q1 include:
If you’d like access to the service, in order to help with testing, or to simply try it out, follow these instructions.
]]>I’ve now got a bunch of these around the house, integrated with the Node Red Alexa Smart Skill v3 Bridge. Over the last three months these have proven to be very reliable (faultless actually) and very effective when paired with the custom multi-sensors I have built using ESP8266 NodeMCU boards to drive automation. I figured I would share my experience/ how I got them up and running.
Note that this guide assumes you have a secure MQTT server available for use, and Node-RED deployed should you want to take advantage of the Node Red Alexa Smart Skill v3 Bridge. If you’ve not got either of these in-place watch this space – further guides to follow.
Always switch off the mains when removing face-plates or performing any work on your light switches.
Wiring standards in the UK are also a real issue for Smart Switches. I’m lucky enough to live in a new home (<5 years old at time of writing), meaning I have neutral (red arrow in image below) wires at the switch, along with common (light blue arrow) and switched live (purple arrow) plus earth. Wherever you are located, before you start down the path of smart light switches check your wiring! This may considerably limit your choices.
Never try to open or connect your FTDI/ jumper cables to a Sonoff devices whilst it has mains power attached. You could be severely injured and/ or die.
I’ve flashed a number of these devices now, using the process outlined below every time. Before you proceed:
First, you’ll need to purchase an FTDI adaptor, I use a CP2102 device purchased from eBay (I have no affiliation with the seller, buy whichever FTDI adaptor you want!). Ensure that you install the driver(s) required for your FTDI adaptor before proceeding.
The Sonoff T1 is easy to get into, simply use a small flat-headed screwdriver to pry open where the red arrows indicate. Be careful not to slip as you can easily scratch the paint on the inside of the glass front.
You can remove the ESP board by simply getting your fingernail under one of the corners (red arrows) and applying a small amount of leverage.
Connect your FTDI adaptor as shown below (last pin is not used) – ensure your FTDI adaptor is not connected to your computer yet. Note you should only use 3.3v, not 5v, when connecting your FTDI adaptor, should you accidentally use 5v you’ll need to order another T1 device!
I found that I could simply wrap the jumper cables around the device in order to maintain a sufficiently good connection: no need to solder anything.
The hardware is all set to flash! Time to get our Tasmota customisations ready.
I opt to pre-set all of the wireless, MQTT, web interface username and password via a user_config_override.h file. You can find the configuration I use on GitHub.
Copy the user_config_override.h file under the “sonoff” folder in your extracted Tasmota folder. You’ll also need to modify user_config.h to enable the use of the override file – find this line in modify user_config.h and uncomment:
//#define USE_CONFIG_OVERRIDE // Uncomment to use user_config_override.h file. See README.md
The final change required before we can flash Tasmota is to modify the platformio.ini file – specifically
This is a little like a game of twister:
The top LED will not be lit and BOTH touch pads will be very dimly lit.
Use the upload button at the bottom of the Visual Stuido Code/ Platform IO window to upload Tasmota to your Sonoff T1.
Once the process is completed check your router/ AP for the IP address given to the device. Browse to the device IP and login using the credentials you set in the user_config_override.h file. The final tasks here are:
SetOption13 1
More to follow on this, when I finish the posts on Mosquitto MQTT setup and Node-RED setup I’ll update this guide. For now, this post assumes you have both of these up and running, and that by configuring the MQTT device ID in the user_config_override.h file, you know how to integrate the Sonoff T1 into your environment.
Note, that if you are using Home Assistant, the supplied user_config_override.h file enables automatic discovery of the Sonoff T1 in your environment – enjoy!
Hopefully this means you’re now able to use commands that are more “natural” to interact with Node-RED flows that control your Smart Devices.
To further the usability of the service it is now possible (required!) to set minimum and maximum values on thermostats (in °C or °F) and smart bulbs (in Kelvin). Any commands that fall “out of range” will not be processed by the bridge and you will get the appropriate feedback from Alexa. Again, hopefully this makes interaction with the service more intuitive.
Finally, I’ve simplified the response node. Use logic in your flows to return a “true” or “false” value as an input to this node. Any flow that starts with a Node-RED Alexa v3 node should return a payload of “true” where the command/ request is processed successfully and “false” where it is not.
I’ll be updating the documentation with more flow examples in the coming week.
Want to get involved, contribute or start testing the service as outlined in the documentation!
]]>Lots more posts to come, but I wanted to share the latter of these activities with you first.
In my quest to enable voice control over a variety of devices I came across a Ben Hardill’s Node Red Alexa Home Skill Bridge. Ben created a Node-RED Alexa Smart Home Skill API version 2 add-on that enables Alexa interaction with flows. No sooner had I found this and started to use it I wanted more… ! This is where the Smart Home Skill API version 3 comes in – it allows for a swathe of new voice commands to control playback, volume, inputs and other devices that version 2 did not cater for.
Unfortunately (for me at least) the API syntax has fundamentally changed. This meant figuring out Ben’s service and re-writing elements of it to work with the new API. Whilst I was at it I also updated the web interface to Bootstrap 4, and remediated some NodeJS/ Mongoose functions that were no longer supported in the original service.
The net result… My wife and kids love the fact they can turn on/ off the TV, pause, play and stop video, increase/ decrease and mute volume as well as control the lights with their voice. Couple the lighting control with Alexa “room awareness” and the whole system becomes very user friendly – i.e. “Alexa, turn on the lights.” The multi-sensors add some additional functionality/ capabilities, but I’ll save that for another day.
At this point the skill is in “Dev” – meaning it is not a publicly available Alexa Skill – however, get in touch and I can add you to the list of people able to test the service out.
You can read the intricate detail about the service on GitHub, or request access and get testing.
]]>