Published May 14, 2021 © GPL3+

Temperature Monitoring System

The change in the temperature is monitored, and sends an alert message if it crosses the threshold using the anomaly detection.

IntermediateFull instructions provided4 hours146

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

Temperature Sensor

Breadboard (generic)

Male/Female Jumper Wires

Micro-USB to USB Cable (Generic)

Software apps and online services

Bolt IoT Bolt Cloud

Bolt IoT Android App

Google mail

Mailgun

Python IDLE

Hand tools and fabrication machines

Refrigerator

Android Phone

Story

About the project:

This project is a temperature monitoring system for refrigerator to find if any anomaly is detected in the temperature.In this we would be using Z score analysis for identifying the anomaly.Polynomial Regression is used to predict the future values of the temperature.

This model can be used in pharmaceutical industries, where the medicines must be kept at a certain temperature.If the temperature is not within the specified range then there will be a huge loss.In order to overcome such situations this temperature monitoring system can be used. Once there is an alert message people in the industry will get immediate notification about the temperature changes and can do the needy.

What does this temperature monitoring system do?

The temperature monitoring system will measure the temperature of the surrounding and if the temperature is more than the threshold values then an alert message is sent to your mail.

In this case, whenever the fridge is open the temperature raises abruptly and will cross the threshold values and hence send and email showing an alert message.

This is a basic video about the project:

This is the demonstration of the project

Hardware Setup:

The LM35 temperature sensor is connected in the following manner:

>Vs/VCC- Voltage supply is connected to the 5V of Bolt wifi module.
>Output Pin is connected to A0 (analog input pin) of the Bolt Wifi module.
>Gnd pin is connected to the Gnd.

The breadboard and the jumper wires (male male) are used and the above connections are made.

Product setup in the bolt cloud:

Prediction values using polynomial regression:

Polynomial Regression code:

Python code is used to set threshold values for the temperature, and to do z-score analysis and send an alert email message when the email crosses the threshold.

Running the above code:

As soon as the temperature crosses the threshold, the message "Someone opened the fridge" is shown and at the same time an alert message is sent via email.

Applications:

Used in pharmaceutical companies.

Server rooms

Food factories

In places where objects must be stored at a particular temperature.

Code

#temperature monitoring system using boltiot
import time,json,statistics
from boltiot import Bolt,Email
cons_threshold=[5,15]    #adding the threshold values
mybolt=Bolt('*****','BOLT*****') #bolt(bolt_api key,device id)
mailer=Email('***********','******.mailgun.org','*********@gmail.com','******@gmail.com') #Email('mailgun_api_key','Sandbox_url','from_mail','to mail')
def get_threshold_value(history_data,mul_factor,ran):
    if len(history_data)<ran:
        print("Not enough data to calculate the thresholds.",ran-len(history_data),"more data point(s) required")
        return None
    if len(history_data)>ran:
        del history_data[0:len(history_data)-ran]
    Mn=statistics.mean(history_data)
    sum=0
    for i in history_data:
        sum+=(i-Mn)**2
    sum/=ran
    Zn=mul_factor*(sum**(1/2))
    threshold=[history_data[len(history_data)-1]-Zn,history_data[len(history_data)-1]+Zn]
    return threshold
history_data=[]
while True:
    responce=mybolt.analogRead('A0')
    sensor_value=json.loads(responce)
    temp=float(sensor_value['value'])/10.24
    threshold=get_threshold_value(history_data,6,10)
    print(temp)
    if threshold!=None:
        if temp>threshold[1]:
            print("Someone opened the fridge")
    if temp<cons_threshold[0]:
        responce=mailer.send_email("ALERT","The temperature is very low, the temperature is "+str(temp)+" deg Celsius")
        responce_text=json.loads(responce.text)
    if temp>cons_threshold[1]:
        responce=mailer.send_email("ALERT","The temperature is very high, the temperature is "+str(temp)+" deg Celsius")
        responce_text=json.loads(responce.text)
    history_data.append(temp)
    time.sleep(10)

Temperature Monitoring System

Things used in this project

Hardware components

Software apps and online services

Hand tools and fabrication machines

Story

About the project:

What does this temperature monitoring system do?

Hardware Setup:

Applications:

Schematics

Circuit diagram

Code

Code for anomaly detection

Polynomial regression code

Credits

Nikhita Chavva

Comments

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Temperature Monitoring System

Temperature Monitoring System

Things used in this project

Hardware components

Software apps and online services

Hand tools and fabrication machines

Story

About the project:

What does this temperature monitoring system do?

Hardware Setup:

Applications:

Schematics

Circuit diagram

Code

Code for anomaly detection

Polynomial regression code

Credits

Nikhita Chavva

Comments

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