Divnoor Singh
Published

Indoor Temperature Monitoring System

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

AdvancedFull instructions provided250
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

Read more

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

Comments