def demo_receiver(base_host, base_port, tdf_server):
# TDF decoding state
tdfparse = tdf3.Tdf()
tdfparse.loadTdf(tdf_server, timeout=10.0)
parser = tdfparse.parseTdf16
# Baselisten connection
listener = ListenClient.ListenClient(base_host, base_port)
listener.connect()
MY_DEVICE_TOKEN = '4005b6a7-e9bd-4315-9b41-5fe527d7ebec'
my_device = tago.Device(MY_DEVICE_TOKEN)
try:
# Loop forever for packets from baselisten
while True:
try:
packet = listener.read(timeout=None)
except ConnectionResetError:
print("Connection to baselisten lost...")
return
except NotImplementedError:
continue
# Loop over every payload in the serial packet
for payload_type, route, payload in packet.iter_payloads():
now = datetime.datetime.now()
first_hop = route[-1]
pkt_addr = first_hop.address_fmt
pkt_rssi = "{:d}dBm".format(first_hop.rssi)
print("From {:s}, {:d} bytes, RSSI {:s}".format(
pkt_addr, len(payload), pkt_rssi))
# This demo is only concerned with TDF payloads
if payload_type != PayloadType.PAYLOAD_TDF3:
print("\tPacket was not a TDF ({:})".format(payload_type))
continue
# Payload is a TDF
for point in parser(payload,
datetime.datetime.utcnow(),
debug=False,
combine=True):
print(point)
if point.get('sensor') == 'LPS22HB_ALL':
data_to_insert = {
'variable': point.get('sensor'),
'time': now.strftime("%Y-%m-%d %H:%M:%S"),
'metadata': {
'pressure':
point.get('phenomena').get('pressure').get(
'formatted')
}
}
if point.get('sensor') == '3D_POSE':
data_to_insert = {
'variable': point.get('sensor'),
'time': now.strftime("%Y-%m-%d %H:%M:%S"),
'metadata': {
'roll':
point.get('phenomena').get('roll').get(
'formatted'),
'pitch':
point.get('phenomena').get('pitch').get(
'formatted')
}
}
if point.get('sensor') == 'HEIGHT_MSL':
data_to_insert = {
'variable': point.get('sensor'),
'time': now.strftime("%Y-%m-%d %H:%M:%S"),
'metadata': {
'height':
point.get('phenomena').get('height').get(
'formatted'),
'raw':
point.get('phenomena').get('height').get('raw')
}
}
if point.get('sensor') == 'RANGE_MM':
data_to_insert = {
'variable': point.get('sensor'),
'time': now.strftime("%Y-%m-%d %H:%M:%S"),
'metadata': {
'range':
point.get('phenomena').get('range').get(
'formatted'),
'raw':
point.get('phenomena').get('range').get('raw')
}
}
my_device.insert(data_to_insert)
except KeyboardInterrupt:
pass
filename = input("Please Enter A Filename: ")
action = input("Please Enter Your Activity: ")
duration = input(
"Please Enter How Many Seconds You Want To Collect Data For: ")
dictArr = []
start = 0
aidenThingy = "EF:B9:B8:80:14:B7"
georgeThingy = "CD:B0:C1:93:02:48"
aidenBool = False
georgeBool = False
tempDictArr = np.empty(2, dtype=object)
my_device = tago.Device('013dc384-56e6-4dc2-8a86-380701c5ad4e')
def write_data():
csv_file = f"{filename}.csv"
csv_columns = ['Accelerometor_Data', 'Action']
try:
with open(csv_file, 'a', newline='') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
for data in dictArr:
writer.writerow(data)
except IOError:
print("I/O error")
def upload_to_dashboard(x, y, z, action):
def demo_receiver(base_host, base_port, tdf_server, tago_token):
# Tago setup
tago_device = tago.Device(tago_token)
# TDF decoding state
tdfparse = tdf3.Tdf()
tdfparse.loadTdf(tdf_server, timeout=10.0)
parser = tdfparse.parseTdf16
# Baselisten connection
listener = ListenClient.ListenClient(base_host, base_port)
listener.connect()
try:
# Loop forever for packets from baselisten
while True:
try:
packet = listener.read(timeout=None)
except ConnectionResetError:
print("Connection to baselisten lost...")
return
except NotImplementedError:
continue
# Loop over every payload in the serial packet
for payload_type, route, payload in packet.iter_payloads():
first_hop = route[-1]
pkt_addr = first_hop.address_fmt
pkt_rssi = "{:d}dBm".format(first_hop.rssi)
print("From {:s}, {:d} bytes, RSSI {:s}".format(
pkt_addr, len(payload), pkt_rssi))
# This demo is only concerned with TDF payloads
if payload_type != PayloadType.PAYLOAD_TDF3:
print("\tPacket was not a TDF ({:})".format(payload_type))
continue
# Payload is a TDF
for point in parser(payload,
datetime.datetime.utcnow(),
debug=False,
combine=True):
phenomena = point['phenomena']
print(point['time'])
for key in phenomena:
tago_data = {
'variable': key,
'value': phenomena[key]['converted']
}
tago_device.insert(tago_data)
# data_to_insert = {
# 'variable': 'temperature',
# 'time': '2014-01-20 03:43:59',
# 'unit': 'C',
# 'value': 63
# }
except KeyboardInterrupt:
pass
def run(self):
model = get_trainingmodel()
## Static nodes locations
stations = list(
np.array([[17.8, 7.8], [2.4, 7.8], [5.85, 3.0], [11.95, 0.1],
[6.55, 0.1], [12.75, 3.0], [9.45, 12.75], [14.2, 10],
[5.5, 10], [12.55, 9.2], [8.65, 9.2], [15.05, 4.8],
[6.95, 4.8]]))
time1 = datetime.now()
timestamp = datetime.timestamp(time1)
MY_DEVICE_TOKEN = '3503290b-05e5-433d-a864-e1b8e7bfbf11' ## Add tagoio dashboard api key here
my_device = tago.Device(MY_DEVICE_TOKEN)
temp1 = []
temp2 = []
temp3 = []
count = 0
while True:
## feed rssi to modal
m1 = mobile1_R
m2 = mobile2_R
m3 = mobile3_R
knn1 = model.predict([m1])
knn2 = model.predict([m2])
knn3 = model.predict([m3])
## get distance from rssi value
min_list1 = sorted(
zip(stations, m1),
key=lambda t: t[1])[7:] ## get the best 6 rssi signal strength
dist1 = [rssi_dist_convert(i[1], 0) for i in min_list1]
nodes1 = [i[0] for i in min_list1]
min_list2 = sorted(zip(stations, m2), key=lambda t: t[1])[7:]
dist2 = [rssi_dist_convert(i[1], 0) for i in min_list2]
nodes2 = [i[0] for i in min_list2]
min_list3 = sorted(zip(stations, m3), key=lambda t: t[1])[7:]
dist3 = [rssi_dist_convert(i[1], 0) for i in min_list3]
nodes3 = [i[0] for i in min_list3]
## multilateration
multi1 = gps_solve(dist1, nodes1)
multi2 = gps_solve(dist2, nodes2)
multi3 = gps_solve(dist3, nodes3)
## kalman filter
if count > 5: ## takes 10 readings of knn and multilateration coordinates and perform Kalman filter
loc1 = Kalman(temp1)
loc2 = Kalman(temp2)
loc3 = Kalman(temp3)
temp = []
temp.append(loc1)
temp.append(loc2)
temp.append(loc3)
loc = [[int(i[0]) for i in temp], [int(i[1]) for i in temp]]
self.signal.emit(loc)
temp1 = []
temp2 = []
temp3 = []
count = 0
else:
temp1.append(knn1[0])
temp1.append(multi1)
temp2.append(knn2[0])
temp2.append(multi2)
temp3.append(knn3[0])
temp3.append(multi3)
count += 1
if (datetime.timestamp(datetime.now()) - timestamp >
60): ## upload mobiles nodes location every minute
## uplaod loc to dashboard
data = [{
'variable': 'Mobile1',
'value': loc1
}, {
'variable': 'Mobile2',
'value': loc2
}, {
'variable': 'Mobile3',
'value': loc3
}]
result = my_device.insert(data)
timestamp = datetime.timestamp(datetime.now())
if result['status']:
print(result['result'])
else:
print(result['message'])
time.sleep(0.1)