This Project is done as a part of the Boltiot training
So, basically this project is for temperature monitoring. According to certain rules the pharmaceutical companies have to maintain a certain range of temperatures for the manufacture of the medicines. A degree change which exceeds the range of temperatures may lead to a wastage and a huge loss to the company..
So this device which uses bolt WiFi module and LM35 temperature sensor will be able to send an email to your phone about the anomalies in the temperature.So that you can immediately figure out what's the problem and save yourself from huge loss
This is what it looks like when you connect.
The connections are as follows:
Connect the LM35 sensor and Buzzer as shown
Through the breadbox
For this project I have used mailgun for the email of the alerts
so,
Algorithm of the code goes like this:
Note: as we cannot match the pharmaceutical temperature which is about -30 so I have used refrigerator for the values:
1. Make the connections
2. Powerup the Boltwifi module using a powerbank.
3. write a java script code to carry out the polynomial regression.
4. keep the set up in refrigerator for two hours and check the prediction graph and set the max and min values
5. Write a python code to take the temperature for every 10 seconds and if the values are not in the limits then an Email using mailgun
6. Now modify the code to add Z-score to find anomalies and send an email "some one opened the fridge".
EMAILS:
The graph when the wifi module is in the refrigerator
and this is the program while running in cmd
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