-
Notifications
You must be signed in to change notification settings - Fork 0
/
wt-sensor-v1-DataColection.py
182 lines (140 loc) · 5.12 KB
/
wt-sensor-v1-DataColection.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
# In[1]:
import struct
import socket
# In[86]:
# server
# to get the IP of the running devise
localIP = "10.40.0.54"
#print (localIP)
localPort = 2000
# Create a datagram socket
UDPServerSocket = socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM)
# Bind to address and ip
UDPServerSocket.bind((localIP, localPort))
print("UDP server up and listening")
## gyro data
ax = []
ay = []
az = []
gx = []
gy = []
gz = []
packet_list = []
running = 1
while running:
# for receving the packet
packet = UDPServerSocket.recv(10000)
pack_number = packet[6] # one-byte packet number
pack_total = packet[7] # one-byte packet total number
packet_list.append(pack_number)
if (pack_number == 1): # first pack 1402 bytes
# get the mac addres and convet it back to string
mac_bytes = packet[:6]
mac_int = struct.unpack('>BBBBBB', mac_bytes)
mac = ""
for x in range(6):
tem = hex(mac_int[x])
mac += tem[2:]
print ("MAC address >> ", mac)
## get data for the fist packet
offcet = 8
for n in range (115):
# the gyro. data for the first packet (sined)
ax.append (struct.unpack('>h',packet[offcet + 0 + 6 * n * 2 : offcet + 0 + 6 * n * 2 + 2 ]))
ay.append (struct.unpack('>h',packet[offcet + 2 + 6 * n * 2 : offcet + 2 + 6 * n * 2 + 2]))
az.append (struct.unpack('>h',packet[offcet + 4 + 6 * n * 2 : offcet + 4 + 6 * n * 2 + 2 ]))
gx.append (struct.unpack('>h',packet[offcet + 6 + 6 * n * 2 : offcet + 6 + 6 * n * 2 + 2]))
gy.append (struct.unpack('>h',packet[offcet + 8 + 6 * n * 2 : offcet + 8 + 6 * n * 2 + 2]))
gz.append (struct.unpack('>h',packet[offcet + 10 + 6 * n * 2 : offcet + 10 + 6 * n * 2 + 2 ]))
# fist packet state data (unsined)
temp = struct.unpack('>H', packet[1388:1390])
hum = struct.unpack('>H', packet[1390:1392])
case_temp = struct.unpack('>H', packet[1392:1394])
batray = struct.unpack('>H', packet[1394:1396])
sound = struct.unpack('>H', packet[1396:1398])
time_unix = struct.unpack('>I', packet[1398:1402])
else:
mac_bytes_check = packet[:6] # mac for the next packets
if (mac_bytes != mac_bytes_check):# detect packet enjection
print("packet with defrant MAC")
UDPServerSocket.close()
running = 0
## get the date for packet 2-7
for n in range (116):
ax.append (struct.unpack('>h',packet[offcet + 0 + 6 * n * 2 : offcet + 0 + 6 * n * 2 + 2 ]))
ay.append (struct.unpack('>h',packet[offcet + 2 + 6 * n * 2 : offcet + 2 + 6 * n * 2 + 2]))
az.append (struct.unpack('>h',packet[offcet + 4 + 6 * n * 2 : offcet + 4 + 6 * n * 2 + 2 ]))
gx.append (struct.unpack('>h',packet[offcet + 6 + 6 * n * 2 : offcet + 6 + 6 * n * 2 + 2]))
gy.append (struct.unpack('>h',packet[offcet + 8 + 6 * n * 2 : offcet + 8 + 6 * n * 2 + 2]))
gz.append (struct.unpack('>h',packet[offcet + 10 + 6 * n * 2 : offcet + 10 + 6 * n * 2 + 2 ]))
# got all the packets
if (pack_number == 7 ):
print ("successed")
# remove the tupels
ax = [item for t in ax for item in t]
ay = [item for t in ay for item in t]
az = [item for t in az for item in t]
gx = [item for t in gx for item in t]
gy = [item for t in gy for item in t]
gz = [item for t in gz for item in t]
temp = temp[0]
hum = hum[0]
case_temp = case_temp[0]
batray = batray[0]
sound = sound[0]
time_unix = time_unix[0]
UDPServerSocket.close()
running = 0
print (packet_list)
# show the graphs
'''
import numpy as np
from numpy import *
from matplotlib import pyplot as plt
from scipy.fft import *
N = 810
# sample spacing
T = 1.0 / 810.0
# Number of samplepoints(ax)
x = np.array(ax)
yf = fft(x)
xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
fig, axx = plt.subplots()
axx.plot(xf[1:], 2.0/N * np.abs(yf[1:N//2]))
plt.xlabel("ax graph")
# Number of samplepoints(ay)
x = np.array(ay)
yf = fft(x)
xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
fig, ayy = plt.subplots()
ayy.plot(xf[1:], 2.0/N * np.abs(yf[1:N//2]))
plt.xlabel ("ay graph")
# Number of samplepoints(az)
x = np.array(az)
yf = fft(x)
xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
fig, azz = plt.subplots()
azz.plot(xf[1:], 2.0/N * np.abs(yf[1:N//2]))
plt.xlabel ("az graph")
# Number of samplepoints(gx)
x = np.array(gx)
yf = fft(x)
xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
fig, gxx = plt.subplots()
gxx.plot(xf[1:], 2.0/N * np.abs(yf[1:N//2]))
plt.xlabel ("gx graph")
# Number of samplepoints(gy)
x = np.array(gy)
yf = fft(x)
xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
fig, gyy = plt.subplots()
gyy.plot(xf[1:], 2.0/N * np.abs(yf[1:N//2]))
plt.xlabel ("gy graph")
# Number of samplepoints(gz)
x = np.array(gz)
yf = fft(x)
xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
fig, gzz = plt.subplots()
gzz.plot(xf[1:], 2.0/N * np.abs(yf[1:N//2]))
plt.xlabel ("gz graph")
'''