This repo documents the results of reverse engineering the MaxxFan Deluxe 07500K remote control, in order to be able to control the MaxxFan in other ways.
The carrier frequency of the signal is 38kHz.
- bitstring
- argparse
- matplotlib
- numpy
Keep in mind that this can be used to generate signals which the original remote doesn't allow (e.g. fan spinning with lid closed), so use at your own risk :)
plot.py can be used to print IR signals captured by the Flipper Zero.
Usage:
python3 plot.py <filename> <number of signals>
Example:
python3 plot.py ./Maxxfan_collection.ir 97
generate.py can be used to generate IR signals for the Flipper Zero to send. The signal name can be chosen arbitrarily.
Usage:
python3 generate.py <arguments> <signal_name>
Examples:
python3 generate.py --off maxxfan_off // turn maxxfan off
python3 generate.py --auto --temp 18 auto_18C // enable automatic mode and set temperature to 18C
python3 generate.py --open --air_out --speed 30 manual_30p // manual mode, open lid, air out, 30% fan speed
For automatic mode, the temp argument is required, air_in is optional (default is air_out).
For manual mode, open/close, air_in/air_out and speed are required.
When the fan is off, the lid is closed by default. open can be specified optionally to turn the fan off with the lid open.
As a first step I collected 90+ signals with a Flipper Zero.
Plotting these signals, it becomes apparent that a large part of the signal always stays the same. Only four parts of the signal (7 bits each) actually change.
The first block of 7 bits encodes the state of the fan:
0 1 1 0 1 1 1 # Manual mode, Open, Air in
0 1 0 0 1 1 1 # Manual mode, Open, Air out
0 0 1 1 1 1 1 # Manual mode, Closed
1 0 1 1 0 1 1 # Automatic mode, Air in
1 0 0 1 0 1 1 # Automatic mode, Air out
1 1 1 1 1 1 1 # Off, Lid closed
1 1 1 0 1 1 1 # Off, Lid open
For the fan speed there are only 10 possibilities (10% - 100%). I'm not sure how this value is encoded here, so I enumerated all possibilities:
1 0 1 0 1 1 1 # 10%
1 1 0 1 0 1 1 # 20%
1 0 0 0 0 1 1 # 30%
1 1 1 0 1 0 1 # 40%
1 0 1 1 0 0 1 # 50%
1 1 0 0 0 0 1 # 60%
1 0 0 1 1 1 0 # 70%
1 1 1 1 0 1 0 # 80%
1 0 1 0 0 1 0 # 90%
1 1 0 1 1 0 0 # 100%
There are 40 possible temperatures for the automatic mode (-2C - 37C).
Again, I'm not sure how these values are encoded so I enumerated all possibilities:
0 1 0 0 0 1 1 # -2 0 0 1 1 0 0 1 # 11 0 0 1 0 1 1 0 # 24
0 0 0 0 0 1 1 # -1 0 1 0 1 0 0 1 # 12 0 1 0 0 1 1 0 # 25
1 1 1 1 1 0 1 # 0 0 0 0 1 0 0 1 # 13 1 0 0 0 1 1 0 # 26
0 1 1 1 1 0 1 # 1 0 1 1 0 0 0 1 # 14 1 1 1 1 0 1 0 # 27
0 0 1 1 1 0 1 # 2 0 0 1 0 0 0 1 # 15 1 0 1 1 0 1 0 # 28
0 1 0 1 1 0 1 # 3 1 1 0 0 0 0 1 # 16 1 1 0 1 0 1 0 # 29
0 0 0 1 1 0 1 # 4 1 0 0 0 0 0 1 # 17 1 0 0 1 0 1 0 # 30
0 1 1 0 1 0 1 # 5 1 1 1 1 1 1 0 # 18 0 0 0 1 0 1 0 # 31
1 0 1 0 1 0 1 # 6 1 0 1 1 1 1 0 # 19 0 1 1 0 0 1 0 # 32
1 1 0 0 1 0 1 # 7 1 1 0 1 1 1 0 # 20 0 0 1 0 0 1 0 # 33
1 0 0 0 1 0 1 # 8 0 1 0 1 1 1 0 # 21 0 1 0 0 0 1 0 # 34
1 1 1 1 0 0 1 # 9 0 0 0 1 1 1 0 # 22 0 0 0 0 0 1 0 # 35
1 0 1 1 0 0 1 # 10 0 1 1 0 1 1 0 # 23 1 1 1 1 1 0 0 # 36
1 0 1 1 1 0 0 # 37
Figuring out how the checksum is calculated was a bit tricky. Through some trial and error I was able to determine this:
checksum[0] = state[0] XOR speed[0] XOR temperature[0]
checksum[1] = state[1] XOR speed[1] XOR temperature[1]
checksum[2] = NOT (state[2] XOR speed[2] XOR temperature[2])
checksum[3] = NOT (state[3] XOR speed[3] XOR temperature[3])
checksum[4] = NOT (state[4] XOR speed[4] XOR temperature[4])
checksum[5] = state[5] XOR speed[5] XOR temperature[5]
checksum[6] = NOT (state[6] XOR speed[6] XOR temperature[6])
(where 0 is the leftmost bit)