How it's made

Published June 29, 2020

Temperature monitoring and prediction

It monitors the temperature and sends an sms & email alert when the temperature doesn't fall in specified range and also helps in prediction

IntermediateFull instructions provided309

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

Temperature Sensor

Male/Female Jumper Wires

Software apps and online services

VirtualBox

Used to create a ubuntu server

Twilio SMS Messaging API

Used to send SMS

mailgun

Used to send eMail

Story

Temperature monitoring is important for various industries like health care, pharmaceutical, food, laboratories, and many more. The temperature parameter has to be maintained strictly in such industries in order to produce products that are as per the standards of local and international law. Unfortunately, if something goes wrong, it can cause a lot of financial damage to such industries. This IoT enabled project helps to alert via SMS/eMail if the temperature is not as per the user set standards. It also helps in predicting the temperature using already recorded data. hhh

SMS sent if temperature not in given range

eMail sent if temperature not in given range

How it's made:

1. Download VirtualBox for your system from https://www.virtualbox.org/wiki/Downloads.

2. Install VirtualBox on your system.

3. Download Ubuntu Server from https://ubuntu.com/download/server.

4. Open VirtualBox.

5. Click on New.

6. Complete the following steps by clicking on the Next button using default settings.

7. Now select the newly created OS and click on Start.

8. Select the start-up disk i.e. enter the path where the ubuntu server iso file which we downloaded earlier is stored.

9. Follow the instructions for installation.

10. Connect the components as shown in the images below.

11. The final connections should look like this:

12. Download the Bolt IoT app on your phone and follow the instructions to set up your bolt IoT module to your wifi and Bolt Cloud.

13. Log in to your Bolt Cloud Account.

14. Go to the Products tab and click on add product.

15. Follow the setup instructions

16. Type the following code in the Code tab

17. Click on Save your Configuration and then click Exit.

18. Click on link device to this product and select your Bolt IoT device.

19. Once linked click on Deploy Configuration.

To send SMS we will use Twilio and for eMail, we will use mailgun.

20. Create your account on Twilio and mailgun by visiting their respective websites.

Now for the coding part!

21. Open your VirtualBox and login to your Ubuntu Server.

22. Create two configuration files one having details of Twilio and other having details of Mailgun as follows

conf.py file containing info about Twilio account(blurred for security purposes)

email_conf.py file containing info about Mailgun account(blurred for security purposes)

23. Now create a temp_sms.py file and type the following code.

24. Now repeat the same for temp_email.py file.

25. That's it! Now execute the code and if the temperature is not in the given range you will receive the SMS and eMail.

Now for the prediction part, make sure that the device has been kept ON for some time for the data to be collected in the cloud.

26. After some time log in to your Bolt Cloud account and click on the View this Device button.

27. It will take you to the device page and the graph of collected data will be displayed.

28. Now click on the Predict button.

29. It displays the predicted graph.

import conf #importing the configuration file saved as conf.py
from boltiot import Sms, Bolt '''importing bolt python library and also sms library to send sms'''
import json, time #importing python json and and time libraries

minimum_limit = #Enter minimum limit
maximum_limit = #Enter maximum limit


mybolt = Bolt(conf.API_KEY, conf.DEVICE_ID) '''fetches your Bolt API KEY and DEVICE ID that is stored in conf.py'''
sms = Sms(conf.SID, conf.AUTH_TOKEN, conf.TO_NUMBER, conf.FROM_NUMBER)'''fetches your SID, AUTH_TOKEN, TO_NUMBER and FROM_NUMBER from conf.py'''

while True: 
    print ("Reading sensor value")
    response = mybolt.analogRead('A0') '''Since sensor is connected on A0 pin of     the module we perform analogRead on A0 pin'''
    data = json.loads(response) '''loading data sent by Bolt Cloud in json format     using Python's json library'''
    print("Sensor value is: " + str(data['value']))
    try: 
        sensor_value = int(data['value']) 
        if sensor_value > maximum_limit or sensor_value < minimum_limit:
            print("Making request to Twilio to send a SMS")
            response = sms.send_sms("The Current temperature sensor value is " +str(sensor_value))
            print("Response received from Twilio is: " + str(response))
            print("Status of SMS at Twilio is :" + str(response.status))
    except Exception as e: 
        print ("Error occured: Below are the details")
        print (e)
    '''Placing in try except block to handle any error if any occurs'''
    time.sleep(10) #puts the execution on hold for 10 seconds(changeable)

import email_conf #importing the configuration file email_conf.py
from boltiot import Email, Bolt '''importing the Bolt python library and email library to send email'''
import json, time #importing the python json and time libraries

minimum_limit = #Enter the minimum value
maximum_limit = #Enter the maximum value


mybolt = Bolt(email_conf.API_KEY, email_conf.DEVICE_ID) '''fetches the API KEY and DEVICE ID stored in email_conf.py file'''
mailer = Email(email_conf.MAILGUN_API_KEY, email_conf.SANDBOX_URL, email_conf.SENDER_EMAIL, email_conf.RECIPIENT_EMAIL) '''automatically fetches MAILGUN API KEY, SANDBOX URL, SENDER EMAIL and RECIPIENT EMAIL from email_conf.py file'''

while True: 
    print ("Reading sensor value")
    response = mybolt.analogRead('A0') '''Since sensor is connected on A0 pin of     the module we perform analogRead on A0 pin'''
    data = json.loads(response) '''loading data sent by Bolt Cloud in json format     using Python's json library'''
    print ("Sensor value is: " + str(data['value']))
    try: 
        sensor_value = int(data['value']) 
        if sensor_value > maximum_limit or sensor_value < minimum_limit:
            print("Making request to Mailgun to send an email")
            response = mailer.send_email("Alert", "The Current temperature sensor value is " +str(sensor_value))
            response_text = json.loads(response.text)
            print("Response received from Mailgun is: " + str(response_text['message']))
    except Exception as e: 
        print ("Error occured: Below are the details")
        print (e)
    '''Placing in try except block to handle any error if any occurs'''
    time.sleep(10) #puts the execution on hold for 10 seconds(changeable)

SID = 'You can find SID in your Twilio Dashboard' 
AUTH_TOKEN = 'You can find  on your Twilio Dashboard' 
FROM_NUMBER = 'This is the no. generated by Twilio. You can find this on your Twilio Dashboard'
TO_NUMBER = 'This is your number. Make sure you are adding +91 in beginning'
API_KEY = 'This is your Bolt Cloud accout API key'
DEVICE_ID = 'This is the ID of your Bolt device'

Credits

Ashwin Raina

1 project • 0 followers

Temperature monitoring and prediction

Things used in this project

Hardware components

Software apps and online services

Story

How it's made:

Code

temp_sms.py

temp_email.py

conf.py

email_conf.py

predict.js

Credits

Ashwin Raina

Comments

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Temperature monitoring and prediction

Temperature monitoring and prediction

Things used in this project

Hardware components

Software apps and online services

Story

How it's made:

Code

temp_sms.py

temp_email.py

conf.py

email_conf.py

predict.js

Credits

Ashwin Raina

Comments

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