Divnoor Singh
Published

Indoor Temperature Monitoring System

Internet of Things based temperature monitor with predictive capabilities & anomaly detection using ML algorithms.

AdvancedFull instructions provided771
Indoor Temperature Monitoring System

Things used in this project

Hardware components

Bolt WiFi Module
Bolt IoT Bolt WiFi Module
×1
LM35 Temperature Sensor
×1
Jumper wires (generic)
Jumper wires (generic)
×1
Breadboard (generic)
Breadboard (generic)
×1
Micro-USB to USB Cable (Generic)
Micro-USB to USB Cable (Generic)
×1
Portable Power Bank
×1

Software apps and online services

Bolt Cloud
Bolt IoT Bolt Cloud
Bolt IoT Android App
Bolt IoT Android App
Mailgun
Snappy Ubuntu Core
Snappy Ubuntu Core

Story

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Code

Temperature-monitor

Python
import conf, json, time, math, statistics
from boltiot import Email, Bolt

max_lim = 299
min_lim = 10

def compute_bounds(history_data,frame_size,factor):
    if len(history_data)<int(frame_size) :
        return None

    if len(history_data)>int(frame_size) :
        del history_data[0:len(history_data)-int(frame_size)]
    Mn=statistics.mean(history_data)
    Variance=0
    for data in history_data :
        Variance += math.pow((data-Mn),2)
    Zn = int(factor) * math.sqrt(int(Variance) / int(frame_size))
    High_bound = history_data[int(frame_size)-1]+Zn
    Low_bound = history_data[int(frame_size)-1]-Zn
    return [High_bound,Low_bound]
    
tempo = Bolt(conf.API, conf.DEVICE_ID)
mailer = Email(conf.MAILGUN, conf.SANDBOX, conf.SENDER_EMAIL, conf.RECIPIENT_EMAIL)
history_data=[]

while True:
    print("Collecting sensor value")
    response = tempo.analogRead('A0')
    data = json.loads(response)
    print("Sensor value " +str(data['value']))
    try:
        sensor_value = int(data['value'])
        if sensor_value>max_lim or sensor_value<min_lim:
           print("Making request to Mailgun to send an email")
           respo = mailer.send_email("Alert: Temprature exceeded thesold limit.")
           response_text = json.loads(respo.text)
           print("Response received from Mailgun is: " +str(response_text['message']))
    except Exception as e:
        print ("Error occured: Below are the details")
        print (e)
    time.sleep(10)

    bound = compute_bounds(history_data,conf.FRAME_SIZE,conf.MUL_FACTOR)
    if not bound:
        required_data_count=int(conf.FRAME_SIZE)-len(history_data)
        print("Not enough data to compute Z-score. Need ",required_data_count," more data points")
        history_data.append(int(data['value']))
        time.sleep(10)
        continue
    try:
        if sensor_value>bound[0] :
             print ("Someone has opened the door. Sending an Email")
             response1 = mailer.send_email("Alert","Someone opened fridge door")
             print("This is the response ",response1)
        history_data.append(sensor_value);
    except Exception as e:
          print ("Error",e)
    time.sleep(10)

Prediction

JavaScript
setChartLibrary('google-chart');
setChartTitle('Polynomial Regression');
setChartType('predictionGraph');
setAxisName('time_stamp','temp');
mul(0.0977);
plotChart('time_stamp','temp');

Credits

Divnoor Singh

Divnoor Singh

1 project • 0 followers

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