-
Notifications
You must be signed in to change notification settings - Fork 2
/
FuzzyLogic.py
149 lines (99 loc) · 4.55 KB
/
FuzzyLogic.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
import matplotlib
matplotlib.use('agg')
import numpy as np
import skfuzzy as fuzz
import matplotlib.pyplot as plt
import time
#relay_pin = 26
#GPIO.setmode(GPIO.BCM)
#GPIO.setup(relay_pin, GPIO.OUT)
#sensor = Adafruit_DHT.DHT22
#dht_pin23
temperature=np.arange(0, 11, 0.1)
humidity=np.arange(0, 11, 0.1)
temperature_cold = fuzz.gaussmf(temperature, 0, 1.5)
temperature_warm = fuzz.gaussmf(temperature, 5, 1.5)
temperature_hot = fuzz.gaussmf(temperature, 10, 1.5)
humidity_low = fuzz.trapmf(humidity, [0, 0, 1, 3])
humidity_high = fuzz.gaussmf(humidity, 10, 1.5)
comfort = np.arange(0, 30, 0.1)
comfort_low = fuzz.trimf(comfort, [0, 5, 10])
comfort_ave = fuzz.trimf(comfort, [10, 15, 20])
comfort_very = fuzz.trimf(comfort, [20, 25, 30])
def temperature_category(temperature_in=18):
temperature_cat_cold = fuzz.interp_membership(temperature,temperature_cold,temperature_in)
temperature_cat_warm = fuzz.interp_membership(temperature,temperature_warm,temperature_in)
temperature_cat_hot = fuzz.interp_membership(temperature,temperature_hot,temperature_in)
return dict(cold=temperature_cat_cold, warm=temperature_cat_warm, hot=temperature_cat_hot)
def humidity_category(humidity_in=2):
humidity_cat_low = fuzz.interp_membership(humidity,humidity_low, humidity_in)
humidity_cat_high = fuzz.interp_membership(humidity,humidity_high, humidity_in)
return dict(low=humidity_cat_low, high=humidity_cat_high)
print('saving membership......')
fig, ax = plt.subplots(2, 1)
[t1,t2,t3] = ax[0].plot(temperature, temperature_cold, 'r', temperature, temperature_warm, 'm+', temperature, temperature_hot, 'b--', label=['Temp. cold', 'Temp. warm', 'Temp. hot'])
ax[0].set_ylabel('Fuzzy membership')
ax[0].set_title('Temperature')
ax[0].set_ylim(-0.05, 1.05)
ax[0].set_xlim(0, 10)
lgd1 = ax[0].legend([t1,t2,t3], ['Temp. cold', 'Temp. warm', 'Temp. hot'], loc='center left', bbox_to_anchor=(1, 0.5))
[t1,t2] = ax[1].plot(humidity, humidity_low, 'r', humidity, humidity_high, 'b+')
ax[1].set_ylabel('Fuzzy membership')
ax[1].set_title('Humidity')
ax[1].set_ylim(-0.05, 1.05)
ax[1].set_xlim(0, 10)
lgd2 = ax[1].legend([t1,t2], ['Hum. low', 'Hum. high', 'Temp. hot'], loc='center left', bbox_to_anchor=(1, 0.5))
plt.grid(True)
plt.tight_layout()
plt.show()
fig.savefig('fuzzy_mem_temp_hum.png', dpi=100, bbox_extra_artists=(lgd1, lgd2), bbox_inches='tight')
print('done')
print('Program karar temelli bulanik mantik vermeye hazir')
machine_state = -1
while 1:
#sen_humidity,sen_temperature = Adafruit_DHT.read_retry(sensor, dht_pin)
if humidity is not None and temperature is not None:
#print('Sensing: Temperature={0:0.1f}*C Humidity={1:0.1f}%'.format(sen_temperature, sen_humidity))
#sen_temperature=18
#sen_humidity=80
t1 = input("Oda sicakligini giriniz?")
t11 = float(t1)
t2 = input("Oda nemini giriniz?")
t22 = float(t2)
print('sensing: Temperature={0:0.1f}*C Humidity={1:0.1f}%'.format(t11,t22))
t11=18
t22=60
norm_temperature = t11 / 60
norm_humidity = t22 / 18
print('Normalization: Temperature={0:0.0001f} Humidity={1:0.0001f}'.format(norm_temperature, norm_humidity))
temp_in = temperature_category(norm_temperature)
hum_in = humidity_category(norm_humidity)
print('fuzyy membership: Temperature={0} Humidity={1}'.format(temp_in, hum_in))
rule1 = np.fmax(temp_in['hot'], hum_in['low'])
rule2 = temp_in['warm']
rule3 = np.fmax(temp_in['warm'], hum_in['high'])
imp1 = np.fmin(rule1, comfort_low)
imp2 = np.fmin(rule2, comfort_ave)
imp3 = np.fmin(rule3, comfort_very)
aggregate_membership = np.fmax(imp1, imp2, imp3)
result_comfort = fuzz.defuzz(comfort, aggregate_membership, 'centroid')
print(result_comfort)
#if result_comfort >= 5.002:
#if machine_state < 0:
#machine_state=1
#print('makineyi ac')
#GPIO.output(relay_pin, GPIO.HIGH)
#else
#print('makine zaten acik')
#else:
#if machine_state > 0:
#machine state=0
#print('makineyi kapat')
#GPIO.output(relay_pin, GPIO.LOW)
#else:
#print('makine zaten kapalı')
#time.sleep(2)
#except KeyboardInterrupt:
#GPIO.output(relay_pin, GPIO.LOW)
#GPIO.cleanup()
#print('Programdan cik')