notebook.community

Edit and run 





In [1]:



    


import numpy as np
import glob
import sys
import time
import datetime
import os
import pickle



    











In [20]:



    


import matplotlib.pyplot as plt
%matplotlib inline

Utilities





In [2]:



    


def printError(*arg):
    print('Error:', *arg, file=sys.stderr)
    
def printDebug(*arg):
    print('Debug:', *arg, file=sys.stderr)
    
def printWarning(*arg):
    print('Warning:', *arg, file=sys.stderr)

Hardware interface





In [3]:



    


class ElectronicsInterface:
    def __init__(self, gpio_pin=18, sensor=None):
        self.pin = gpio_pin
        self.sensor = None
        self.GPIO = None
        
        if sensor is None:
            temperature_sensors = glob.glob('/sys/bus/w1/devices/28-*/w1_slave')
            
            if len(temperature_sensors) > 1:
                printError('multiple temperature sensors found, please specify - entering fake mode')
                return
            elif len(temperature_sensors) == 0:
                printError('temperature sensor cannot be found - entering fake mode')
                return
            else:
                printDebug('temperature sensor found: ' + temperature_sensors[0])
                sensor = temperature_sensors[0]
        
        self.sensor = sensor
        
        try:
            self.read_temperature()
        except:
            printError('temperature sensor cannot be read - entering fake mode.')
            self.sensor = None
            return
        
        try:
            import RPi.GPIO as GPIO
            
            GPIO.setmode(GPIO.BCM)
            GPIO.setup(gpio_pin, GPIO.OUT, initial=GPIO.LOW)
            
            self.GPIO = GPIO
            
            printDebug('GPIO up and running')
        except:
            self.GPIO = None
            printError('GPIO not working - entering fake mode')
            
    def read_temperature(self):
        if self.sensor is not None:
            with open(self.sensor, 'r') as f:
                lines = f.readlines()
        else:
            lines = ['69 01 ff ff 7f ff ff ff 7e : crc=7e YES\n', '69 01 ff ff 7f ff ff ff 7e t=22562\n']
            
        if lines[0].strip()[-3:] == 'YES':
            self.temperature = int(lines[1].strip().split('=')[1]) / 1000
        else:
            self.temperature = np.nan
            printWarning('no temperature read')
            
        return self.temperature
    
    def write_relay(self, value):
        if self.GPIO is not None:
            self.GPIO.output(self.pin, value)
            
    def close(self):
        if self.GPIO is not None:
            self.GPIO.cleanup(self.pin)



    











In [4]:



    


interface = ElectronicsInterface()



    


















    






Debug: temperature sensor found: /sys/bus/w1/devices/28-80000026d00e/w1_slave
Debug: GPIO up and running

















In [5]:



    


interface.write_relay(False)

Let's collect some data!





In [19]:



    


temperatures = []



    











In [20]:



    


relay_on = True

interface.write_relay(True)

# run for an hour max
for i in range(3600):
    temperature = interface.read_temperature()
    temperatures.append(temperature)
    print(temperature)
    
    if relay_on and temperature >= 50:
        interface.write_relay(False)
        relay_on = False
        
    if os.path.exists('/tmp/stop'):
        break
    
    time.sleep(1)
    
if relay_on:
    interface.write_relay(False)
    relay_on = False



    


















    






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55.625
55.625
55.625
55.625
55.625
55.625
55.625
55.562
55.625
55.625
55.562
55.562
55.625
55.625
55.625
55.625
55.625
55.562
55.562
55.562
55.625
55.625
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.562
55.5
55.562
55.5
55.562
55.562
55.5
55.562
55.5
55.5
55.5
55.5
55.5
55.5
55.5
55.5
55.5
55.5
55.5
55.5
55.437
55.5
55.437
55.437
55.5
55.5
55.5
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.437
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.375
55.312
55.375
55.312
55.375
55.312
55.312
55.375
55.312
55.312
55.312
55.312
55.312
55.312
55.312
55.312
55.312
55.312
55.312
55.25
55.312
55.312
55.312
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.25
55.187
55.187
55.187
55.25
55.187
55.25
55.25
55.25
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.125
55.187
55.187
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.125
55.062
55.125
55.125
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.062
55.0
55.0
55.062
55.0
55.0
55.0
55.0
55.0
55.0
55.0
55.0
55.0
55.0
54.937
54.937
55.0
54.937
54.937
55.0
54.937
55.0
54.937
54.937
54.937
54.937
54.937
54.937
54.937
54.937
54.937
54.937
54.937
54.937
54.937
54.937
54.875
54.937
54.875
54.937
54.937
54.937
54.937
54.875
54.937
54.875
54.937
54.875
54.937
54.875
54.875
54.875
54.875
54.875
54.875
54.875
54.875
54.875
54.875
54.875
54.875
54.875
54.875
54.812
54.875
54.875
54.812
54.875
54.875
54.812
54.875
54.875
54.875
54.875
54.875
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.812
54.75
54.812
54.812
54.812
54.75
54.812
54.75
54.75
54.75
54.75
54.75
54.75
54.75
54.75
54.75
54.75
54.75
54.75
54.687
54.75
54.687
54.687
54.75
54.75
54.75
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.687
54.625
54.687
54.625
54.687
54.687
54.625
54.687
54.687
54.687
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.625
54.562
54.562
54.562
54.562
54.562
54.562
54.562
54.562
54.562
54.562
54.562
54.562
54.562
54.562
54.5
54.562
54.562
54.562
54.5
54.562
54.562
54.5
54.562
54.562
54.562
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.5
54.437
54.437
54.437
54.5
54.437
54.437
54.5
54.437
54.5
54.5
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.437
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.375
54.312
54.312
54.312
54.375
54.375
54.312
54.312
54.312
54.375
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.312
54.25
54.312
54.25
54.25
54.312
54.312
54.25
54.25
54.25
54.25
54.25
54.25
54.25
54.25
54.25
54.25
54.25
54.25
54.25
54.187
54.25
54.187
54.187
54.25
54.25
54.25
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.187
54.125

















In [23]:



    


interface.read_temperature()



    


















    
Out[23]:








48.125

















In [39]:



    


with open('temperature1.pkl', 'wb') as f:
    pickle.dump(np.array(temperatures), f)



    











In [41]:



    


with open('temperature1.csv', 'w') as f:
    for v in temperatures:
        f.write(str(v) + '\n')



    











In [40]:



    


interface.close()

Investiage





In [33]:



    


with open('temperature1.pkl', 'rb') as f:
    temperatures = pickle.load(f)



    











In [34]:



    


fig = plt.figure()
plt.plot(temperatures)



    


















    
Out[34]:








[<matplotlib.lines.Line2D at 0x6f362630>]










    
























In [35]:



    


max(temperatures)



    


















    
Out[35]:








60.811999999999998

















In [36]:



    


np.where(np.array(temperatures) > 50)[0][0]



    


















    
Out[36]:








522

















In [37]:



    


c = 4190
m = 1
dT = max(temperatures) - min(temperatures)
dQ = c * m * dT
P = 400
t = np.where(np.array(temperatures) > 50)[0][0]
E = P * t
nu = dQ / E
print('Wirkungsgrad:', nu)



    


















    






Wirkungsgrad: 0.771317193487

















In [38]:



    


dQ



    


















    
Out[38]:








161051.03

















In [39]:



    


dT



    


















    
Out[39]:








38.436999999999998

















In [40]:



    


t



    


















    
Out[40]:








522

Second Data Collection: Simple hysteresis control





In [69]:



    


temperatures = []



    











In [70]:



    


target_temperature = 50



    











In [71]:



    


dT = target_temperature - interface.read_temperature()



    











In [72]:



    


dQ = c * m * dT
boost_time = dQ / (P * nu)



    











In [73]:



    


boost_time



    


















    
Out[73]:








36.504826079038459

















In [74]:



    


is_boosting = True
is_controlling = False

relay_on = True

interface.write_relay(True)

start_time = datetime.datetime.now()
last_temp = 0

# run for an two hours max
for i in range(3600 * 3):
    now = datetime.datetime.now()
    temperature = interface.read_temperature()
    temperatures.append((now, temperature, relay_on))
    print(temperature)
    
    if is_boosting:
        if i > boost_time:
            if relay_on:
                interface.write_relay(False)
                relay_on = False
                print('Reached boost time, turning off:', now)
            elif last_temp > temperature:
                print('Temperature falling again, starting control:', now)
                is_boosting = False
                is_controlling = True
                
        last_temp = temperature
    elif is_controlling:
        if i >= 3600 * 3:
            is_controlling = False
            print('Stopping controlling:', now)
            
            if relay_on:
                interface.write_relay(False)
                relay_on = False
            
        elif relay_on and temperature >= target_temperature:
            interface.write_relay(False)
            relay_on = False
        elif not relay_on and temperature < target_temperature:
            interface.write_relay(True)
            relay_on = True
            
        
    if os.path.exists('/tmp/stop'):
        break
        
    sleep_time = i + 1 - (datetime.datetime.now() - start_time).total_seconds()
    
    time.sleep(sleep_time)
    
if relay_on:
    interface.write_relay(False)
    relay_on = False



    


















    






47.187
47.187
47.187
47.187
47.187
47.187
47.187
47.187
47.187
47.187
47.125
47.187
47.187
47.187
47.187
47.187
47.125
47.187
47.187
47.125
47.125
47.125
47.187
47.125
47.187
47.125
47.125
47.125
47.125
47.125
47.125
47.125
47.125
47.125
47.125
47.125
47.125
47.125
Reached boost time, turning off: 2017-01-07 20:20:35.132995
47.125
47.125
47.125
47.187
47.187
47.187
47.187
47.25
47.25
47.312
47.312
47.312
47.375
47.375
47.375
47.437
47.437
47.437
47.437
47.437
47.437
47.437
47.437
47.5
47.5
47.5
47.5
47.5
47.562
47.562
47.562
47.562
47.562
47.562
47.562
47.5
Temperature falling again, starting control: 2017-01-07 20:21:11.133009
47.562
47.5
47.5
47.5
47.5
47.5
47.5
47.437
47.437
47.437
47.437
47.437
47.437
47.437
47.437
47.437
47.5
47.437
47.5
47.5
47.5
47.562
47.562
47.562
47.625
47.625
47.625
47.625
47.687
47.687
47.687
47.75
47.687
47.75
47.75
47.687
47.687
47.687
47.75
47.687
47.687
47.687
47.75
47.75
47.687
47.687
47.75
47.75
47.75
47.812
47.75
47.812
47.812
47.812
47.812
47.812
47.875
47.875
47.875
47.937
47.937
47.937
47.937
47.937
48.0
48.0
48.0
48.0
48.062
48.125
48.125
48.125
48.187
48.187
48.25
48.25
48.25
48.312
48.312
48.312
48.312
48.375
48.437
48.437
48.5
48.5
48.562
48.625
48.687
48.75
48.75
48.812
48.812
48.875
48.937
48.937
49.0
49.0
49.062
49.062
49.125
49.125
49.187
49.25
49.312
49.312
49.375
49.437
49.5
49.5
49.562
49.562
49.625
49.625
49.687
49.687
49.75
49.75
49.75
49.75
49.812
49.875
49.875
49.875
49.937
50.0
50.0
50.062
50.062
50.187
50.187
50.312
50.375
50.437
50.437
50.5
50.562
50.562
50.562
50.562
50.625
50.625
50.625
50.687
50.687
50.75
50.75
50.812
50.812
50.875
50.875
50.937
50.937
51.0
51.062
51.125
51.25
51.312
51.375
51.437
51.562
51.625
51.687
51.687
51.75
51.812
51.875
52.0
52.062
52.062
52.125
52.125
52.187
52.187
52.187
52.25
52.312
52.312
52.312
52.375
52.437
52.437
52.437
52.437
52.5
52.5
52.5
52.562
52.562
52.562
52.562
52.625
52.625
52.625
52.625
52.625
52.687
52.687
52.75
52.75
52.812
52.812
52.812
52.875
52.875
52.937
53.0
53.0
53.062
53.125
53.187
53.25
53.312
53.375
53.437
53.437
53.5
53.562
53.562
53.625
53.625
53.687
53.687
53.687
53.75
53.75
53.75
53.812
53.75
53.812
53.812
53.812
53.875
53.875
53.875
53.875
53.937
53.937
53.937
54.0
54.0
54.0
54.062
54.062
54.062
54.125
54.125
54.125
54.125
54.187
54.187
54.187
54.25
54.312
54.312
54.375
54.375
54.437
54.437
54.437
54.5
54.5
54.5
54.562
54.562
54.562
54.562
54.625
54.625
54.625
54.625
54.687
54.687
54.687
54.75
54.75
54.75
54.812
54.812
54.812
54.875
54.875
54.875
54.937
54.937
55.0
55.0
55.062
55.062
55.125
55.125
55.125
55.125
55.187
55.187
55.187
55.187
55.187
55.187
55.187
55.25
55.25
55.25
55.25
55.312
55.25
55.25
55.312
55.312
55.312
55.312
55.312
55.312
55.312
55.375
55.375
55.375
55.375
55.437
55.437
55.437
55.437
55.437
55.5
55.5
55.5
55.562
55.562
55.562
55.562
55.625
55.625
55.625
55.687
55.687
55.687
55.687
55.687
55.75
55.75
55.75
55.75
55.75
55.75
55.812
55.812
55.75
55.812
55.812
55.812
55.812
55.812
55.812
55.875
55.875
55.875
55.875
55.875
55.937
55.937
55.937
55.875
55.937
55.937
55.875
55.937
55.937
55.937
55.937
55.937
55.937
55.937
56.0
55.937
56.0
56.0
56.0
56.062
56.062
56.062
56.0
56.0
56.062
56.062
56.062
56.062
56.062
56.062
56.125
56.062
56.125
56.125
56.125
56.125
56.125
56.125
56.125
56.125
56.125
56.125
56.125
56.125
56.125
56.187
56.187
56.187
56.125
56.187
56.187
56.187
56.187
56.187
56.187
56.25
56.25
56.25
56.25
56.25
56.312
56.312
56.312
56.375
56.375
56.312
56.375
56.375
56.375
56.375
56.437
56.437
56.437
56.375
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.437
56.5
56.5
56.5
56.5
56.5
56.5
56.5
56.5
56.5
56.5
56.5
56.562
56.5
56.5
56.562
56.562
56.562
56.5
56.562
56.562
56.562
56.5
56.562
56.562
56.562
56.562
56.562
56.562
56.562
56.562
56.562
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.687
56.625
56.687
56.625
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.625
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.625
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.75
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.625
56.687
56.625
56.625
56.625
56.625
56.687
56.625
56.625
56.625
56.625
56.687
56.625
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.75
56.75
56.687
56.75
56.75
56.75
56.687
56.75
56.687
56.75
56.75
56.687
56.687
56.75
56.687
56.75
56.687
56.687
56.75
56.75
56.75
56.687
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.75
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.687
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.562
56.625
56.625
56.562
56.625
56.625
56.625
56.562
56.625
56.562
56.625
56.625
56.625
56.625
56.625
56.562
56.625
56.625
56.625
56.625
56.562
56.562
56.562
56.562
56.562
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
56.625
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51.875
51.812
51.875
51.875
51.875
51.812
51.875
51.875
51.875
51.875
51.875
51.812
51.875
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.75
51.75
51.75
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.75
51.75
51.812
51.812
51.75
51.812
51.812
51.812
51.812
51.812
51.812
51.75
51.75
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.812
51.75
51.812
51.812
51.75
51.75
51.75
51.812
51.812
51.812
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.75
51.687
51.75
51.75
51.75
51.75
51.687
51.75
51.687
51.75
51.75
51.75
51.75
51.75
51.687
51.75
51.75
51.687
51.75
51.687
51.75
51.75
51.687
51.75
51.687
51.75
51.75
51.75
51.687
51.687
51.687
51.687
51.687
51.687
51.687
51.687
51.687
51.687

















In [75]:



    


with open('temperature3.pkl', 'wb') as f:
    pickle.dump(np.array(temperatures), f)



    











In [76]:



    


with open('temperature3.csv', 'w') as f:
    for v in temperatures:
        f.write(str(v) + '\n')



    











In [77]:



    


interface.close()



    











In [78]:



    


temperatures[-1]



    


















    
Out[78]:








(datetime.datetime(2017, 1, 7, 23, 19, 57, 132990), 51.687, False)

















In [79]:



    


start_time



    


















    
Out[79]:








datetime.datetime(2017, 1, 7, 20, 19, 58, 131881)

















In [81]:



    


plt.figure()
plt.plot([t[0] for t in temperatures], [t[1] for t in temperatures])



    


















    
Out[81]:








[<matplotlib.lines.Line2D at 0x6f128890>]

Content source: neXyon/suvicoco

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