Reverse Engineer RF Remote Controller for IoT!

In this instructable, you will learn how to reverse engineer Radio Frequency (RF) remotes and how to implement in a very cheap WiFi enabled computer, the Node MCU. Using this technique you can IoT enable older appliances and devices!

I purchased this Harbor Breeze Kingsbury fan a while back. While it’s a nice looking fan, and quite large, I was disappointed to find that it is controlled with a remote. Main reason being, it is not possible to control the fan without a remote. And the problem with a remote is that it inevitably gets lost and/or broken. So, I decided to undertake a project to replace the remote.

I break down this project into a couple of challenges:

Capture what the remote control is sending to the fan
Analyze the signal and determine pattern
Figure out how to recreate the pattern
Transmit corresponding signal with Radio Frequency (RF) Transmitter (TX)
Make it easy to have this control available on my WiFi network
Put a nice UI on top of it so it’s very user friendly.

Step 1: Hardware

NodeMCU Microcontroller. It costs a bit more than a simple ESP8266 but it is very easy to upload code and it also converts a normal USB voltage to 3.3v for the ESP. Alternatively you can get these direct from Chinese suppliers for very cheap, if you don’t mind waiting a couple of weeks.
315 Mhz transmitter
RTL-SDR Software defined radio dongle
Harbor Breeze Kingsbury Fan
Some Breadboard Wire (one of these will serve as the antenna as well)

Step 2: Software

I am on OSX but most of this software (or functional equivalent) is available cross platform:

Gqrx Software Defined Radio (SDR)
rtl_fm - was installed with Gqrx, but needed to create a symbolic link to use it easily from command line:

sudo ln -s /Applications/Gqrx.app/Contents/MacOS/rtl_fm /usr/local/bin/rtl_fm

Sox Sound eXchange - swiss army knife utility for sound processing

brew install sox

Audacity audio editor
PlatformIO for editing, building, and uploading code

Step 3: Capture What the Remote Control Is Sending to the Fan.

First, we want to figure out what frequency the device is broadcasting on. In this case, I disabled the remote and found the transmitter and was able to identify it as 315 Mhz - the transmitter module actually had 315 printed on it.

Let’s fire up the Software Defined Radio (Gqrx) and have a look around 315 Mhz frequency, and start pressing buttons on the remote, to see what we can see.

Pressing the buttons and watching for patterns in the waterfall view will help you dial in the exact frequency that the remote is broadcasting on. Also if your squelch is set correctly, you can even hear the signal as you push the button. We have our frequency, so now let’s capture all of the buttons into a wav file so we can analyze.
Rtl_fm will capture the AM broadcast at the given frequency (315.03 Mhz) at a high sample rate, so we can look at exact timings of the signal to decode them. Sox will take the output from rtl_fm and put it into a wav format to analyze in a sound editor.

rtl_fm -M am -f 315030000 -s 2000000 - | sox -t raw -r 2000000 -e signed-integer -b 16 -c 1 -V1 - fancontrol.wav

You will need to quit entirely from Gqrx so that the USB device is released. So, run the above command, and give it a moment to identify your RTL SDR card. Once it is capturing, press each button on the remote in a specified order (write it down), giving a few seconds between button presses. When you have run through all of the buttons, press Ctrl-C to stop the program.

Step 4: Analyze the Signal and Determine Pattern.

Now find your fancontrol.wav file and open it in Audacity.

This shows Audacity with all of the button presses in a single view. Let’s zoom into the first set to get a better view.

Step 5: Zooming In...

So it appears that there are 6 bursts in a transmission. Are they 6 repeats of a single code, or are they all different? We’ll have to decode a few of them to find out. Let’s zoom in on the first message in the set.

Step 6: Zooming in Some More...

There are 16 On/Off pairs that look the same, then a few that look different. Let’s see if we can find any regular intervals or timing patterns. Zooming in again…

Step 7: Analysis of Signals & Figure Out How to Recreate the Pattern.

There are 4 distinct timings in play here, and by a lot of looking around and sampling, we can determine there’s not much more going on but patterns of Short ON, Short OFF, Long ON, and Long OFF, comprising the basic alphabet of the radio communication signal. Using Audacity, selecting an interval and subtracting end position from start position of that selection, we can determine the duration of each of the signals:

Short ON: 400 μs (micro seconds)
Short OFF: 500 μs
Long ON: 850 μs
Long OFF: 950 μs

Further analysis also revealed a few other interesting facts:

A single Transmission contains six Bursts, each burst has 50 Symbols in the Message.
The bursts are repeats, there is nothing unique between them.
There are six bursts of the same message in every transmission. There is a break or REST between the bursts, duration of 10,000 μs.
There are patterns which are common among every message. Each message contains a “preamble” of 16 pairs of “Short ON, Long OFF”. This alerts the receiver that a message (Payload) is going to arrive.
The Payload of the message is the next 16 symbols. There is always an ON followed by an OFF. The message symbol pairs then can be represented by SS (Short ON, Short OFF), LS (Long ON, Short OFF), SL (Short ON, Long OFF), and LL (Long On, Long OFF).
The “postamble” is a single Short ON, followed by the REST (if between bursts).

Now that we know the timings, we just need to figure out the payloads so that we can reproduce in our code.

To document this, I isolated the payload in each Transmission, and documented the symbols used. You will see all of this in the code shortly.

Step 8: Transmit Corresponding Signal With Radio Frequency (RF) Transmitter (TX)

I’m not going to duplicate information that’s easily available, so get PlatformIO working with your NodeMCU. For my system I had to search for and install CH304G drivers. Once they are installed you should see /dev/cu.wchusbserial1420 in your file system, when the NodeMCU is plugged in the USB port.

My platformio.ini settings are the following, so I can use Arduino code and libraries on NodeMCU:

[env:nodemcuv2]
platform = espressif
framework = arduino
board = nodemcuv2

Connect the NodeMCU to the 315 Mhz transmitter according to the diagram.

Step 9: Code and UI

The code itself is pretty simple. The device fires up and joins your wireless network. If you haven't configured it for your network yet, it spins up as its own "fancontrol" SSID and you can join it, navigate to 192.168.4.1, and configure the device to join your home WiFi network.

The device will now wait patently until someone goes to http://fancontrol.local -- if you are on windows you will want to install Bonjour for Windows. Otherwise on OSX and Linux you will be able to address the device in this way already.

The web interface is created with jQuery Mobile, and is hosted on the NodeMCU in SPIFFS image.

From the web based UI you can operate the fan, as long as the NodeMCU is in range - for me 15 feet is no issue.

You can also bookmark the site so it appears as an app on your IOS device.

Code can all be found at my Bitbucket Repository.

Step 10: Conclusion

Using these tools and techniques, it should be possible to reverse engineer many 315 Mhz and 433 Mhz remote controls.

Controlling these with cheap computers with REST and Web interfaces allows you to bring these things into Internet of Things realm, where they can be remotely controlled, monitored, and potentially exploited -- well, that’s another topic.

Thanks to Samy Kamkar for some ideas on the approach.