The BRESSER weather center 5-in-1 (model 7002510) outdoor sensor transfers all measured values for wind speed, wind direction, humidity, temperature and precipitation rate to the base station using radio signals and a proprietary protocol.
This library decodes the readings sent by the Bresser sensors. I tested it only with a RTL2838 dongle, using the rtl-sdr software (http://www.rtl-sdr.com/).
Note that I've not fully reversed yet the data packed sent by the sensor, the work is still ongoing and the library still need to be tested a lot.
The sensor transmit the packet on the 868.300M frequency with AM modulation.
Following a capture of the wave already demodulated:
The packet is 264 bits long and the bits are ecoded with 1 for high and 0 for low. The data should be read as nybble (half byte) in BCD format.
With the sampling rate set to 48Khz we have an average of 6 samples per bit.
Following the packet structure I've reversed so far, not highlighted the parts who still need to be identified.
The checksum is just a XOR of the following data.
Visit the project page on GitHub or get the code with the command:
git clone https://github.com/andreafabrizi/BresserWeatherCenter.git
from bresser import *
#The noise value should be manually adjusted for the moment
b = Bresser(printdata=True, noise = 700)
b.process_radio_data()
rtl_fm -M am -f 868.300M -s 48k -g 49.6 | ./example.py
2016-09-09 19:59:07: Humidity: 50% Temperature: 20.7° Wind: 2.2 Km/h NNE Rain: 4.0 mm
2016-09-09 19:59:17: Humidity: 50% Temperature: 20.7° Wind: 2.2 Km/h NNE Rain: 4.0 mm
2016-09-09 19:59:30: Humidity: 49% Temperature: 20.6° Wind: 2.2 Km/h NNE Rain: 4.0 mm
from bresser import *
def process_packet(p):
print "Humidity: %d%% " % p.getHumidity(),
print "Temperature: %.1f" % p.getTemperature() + u"\u00b0 ",
print "Wind: %.1f m/s %s" % (p.getWindSpeed(), p.getWindDirection()),
print "Rain: %.1f mm" % p.getRain(),
print ""
if __name__ == "__main__":
#Noise neede to be adjusted manually
b = Bresser(noise = 700)
b.set_callback(process_packet)
b.process_radio_data()
rtl_fm -M am -f 868.300M -s 48k -g 49.6 | ./example.py
Humidity: 91% Temperature: 6.4° Wind: 0.0 m/s E Rain: 78.8 mm
Humidity: 91% Temperature: 6.4° Wind: 0.0 m/s E Rain: 78.8 mm
Humidity: 91% Temperature: 6.5° Wind: 0.0 m/s E Rain: 78.8 mm
Note that most probably the gain and the frequency needs to be adjusted, depending on your device and antenna.
As antenna I used a self made metal wire 8.64 cm long (300000/868000/4) and it works quite well.
- Remove dependency from rtl_fm using pyrtlsdr
- Implement an automatic noise detection