I'm beginner in integrating TTN / CayenneLPP

Community Help With My Project Helped
23

Here I am again. I have an application sending temperature, pressure and digital signal (NO / NC). However, I tried to add a signal from a cayenneLPP format ultrasonic sensor but it didn’t work. How can I solve this problem, is it related to the data size or socket?

The code below is the configuration of LoraWAN and cayenne LPP along with shipping packages.

# remove all the channels
for channel in range(0, 72):
lora.remove_channel(channel)

# set all channels to the same frequency (must be before sending the OTAA join request)
for channel in range(0, 72):
    lora.add_channel(channel, frequency=config.LORA_FREQUENCY, dr_min=0, dr_max=3)

# join a network using ABP (Activation By Personalization)
lora.join(activation=LoRa.ABP, auth=(dev_addr, nwk_swkey, app_swkey))

# create a LoRa socket
s = socket.socket(socket.AF_LORA, socket.SOCK_RAW)

# set the LoRaWAN data rate
s.setsockopt(socket.SOL_LORA, socket.SO_DR, config.LORA_NODE_DR)

# make the socket non-blocking
s.setblocking(False)

# creating Cayenne LPP packet
lpp = cayenneLPP.CayenneLPP(size = 100, sock = s)

while True:
    # Receiving fifteen temperature and pressure readings.
    bmet = []   # Lista com as temperaturas lidas com o BME280
    bmep = []   # Lista com as umiadades lidas com o BME280
    numreadings = 15
    samples_temperature = [0.0]*numreadings; mean_temperature = 0.0
    samples_pressure = [0.0]*numreadings; mean_pressure = 0.0
    samples_humidity = [0.0]*numreadings; mean_humidity = 0.0
    for i in range (numreadings):
        samples_temperature[i], samples_pressure[i], samples_humidity[i] = bme.values
    mean_temperature = sum(samples_temperature)/len(samples_temperature)
    mean_pressure = sum(samples_pressure)/len(samples_pressure)
    t = mean_temperature
    p = mean_pressure/100 # Pa -> hectoPa
    bmet.append(t)
    bmep.append(p)
    print("Temperatura:",t, "C e Pressao: ",p, "hPa")

    # Receiving the average distance of the function.
    distance = distance_median()
    print("Distance:  ", distance)

    # Packaging the data in cayenneLPP format
    lpp.add_digital_input(distance, channel = 116)
    lpp.send(reset_payload = True)

    lpp.add_temperature(bmet[0])
    lpp.add_barometric_pressure(bmep[0])
    lpp.send(reset_payload = True)

    if pm1.value() == False and pm2.value() == False and pm3.value() == False and pm4.value() ==     False:
        print("Nivel atingiu 4 metros!")
        lpp.add_digital_input(True)
        lpp.add_digital_input(True, channel = 112)
        lpp.send(reset_payload = True)

        lpp.add_digital_input(True, channel = 113)
        lpp.add_digital_input(True, channel = 114)
        lpp.send(reset_payload = True)

    if pm1.value() == False and pm2.value() == False and pm3.value() == False and pm4.value() ==     True:
        print("Nivel atingiu 3 metros!")
        lpp.add_digital_input(True)
        lpp.add_digital_input(True, channel = 112)
        lpp.send(reset_payload = True)

        lpp.add_digital_input(True, channel = 113)
        lpp.add_digital_input(False, channel = 114)
        lpp.send(reset_payload = True)

    if pm1.value() == False and pm2.value() == False and pm3.value() == True and pm4.value() ==     True:
        print("Nivel atingiu 2 metros!")
        lpp.add_digital_input(True)
        lpp.add_digital_input(True, channel = 112)
        lpp.send(reset_payload = True)

        lpp.add_digital_input(False, channel = 113)
        lpp.add_digital_input(False, channel = 114)
        lpp.send(reset_payload = True)

    if pm1.value() == False and pm2.value() == True and pm3.value() == True and pm4.value() ==     True:
        print("Nivel atingiu 1 metros!")
        lpp.add_digital_input(True)
        lpp.add_digital_input(False, channel = 112)
        lpp.send(reset_payload = True)

        lpp.add_digital_input(False, channel = 113)
        lpp.add_digital_input(False, channel = 114)
        lpp.send(reset_payload = True)

    if pm1.value() == True and pm2.value() == True and pm3.value() == True and pm4.value() ==     True:
        print("Nivel abaixo do normal!")
        lpp.add_digital_input(False)
        lpp.add_digital_input(False, channel = 112)
        lpp.send(reset_payload = True)

        lpp.add_digital_input(False, channel = 113)
        lpp.add_digital_input(False, channel = 114)
        lpp.send(reset_payload = True)

    time.sleep(60)

Img ERROR:
cayenne

24

not sure about this issue, but found this OSError: [Errno 11] EAGAIN | Pycom user forum

25

I think I solved the problem, I put a delay between sending each variable to have no message conflicts and it worked perfectly, I just don’t know if it’s the right way hahaha. by the way, thank you very much!!

2 Likes
26

Hello, I would like to post on this topic since i have an almost similar issue.

I’m also new to Cayenne, i’m testing a dragino LHT65 sensor that is uplinking to TTN V3 with

Cayenne webhook integration. for a while i wasn’t receive anything.

image
image757×537 13.8 KB

i’m not sure if playing

with the webhook formate was the reason but however today at the morning my sensor node

was seen on the dashboard (cayenne).

image
image1362×639 61.4 KB

The sensor is always online on TTN console but now there is no update on the Cayenne

dashboard.

image
image1069×407 26.3 KB

What do i miss here ?

Thank you

27

Ok, i found the mistake just after i posted this, the format must be JSON (not buffer).

It’s working now.

1 Like