Created June 28, 2019

temperature monitoring system

build the circuit for temperature monitoring system using bolt module and LM35 here it can predict the future value as well as sends alerts.

Full instructions provided86

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

it is very important microcontroller, it consists processor and as vell as i/o ports 5 i/o ports , one port for 5v, one for 3v, ground port, one for analog to digital port, one for reciever and one for for tx.

DFRobot Gravity: Analog LM35 Temperature Sensor For Arduino

it sense the corresponding temperature

Female/Female Jumper Wires

for connecting the LM#$ sensor with the Bolt iot module

USB-A to Mini-USB Cable

for providing the 3.3v supply to the Bolt iot module

Software apps and online services

Bolt IoT Bolt Cloud

for creating the product and connects the hardware and writting the code

Bolt IoT Android App

for linking the Bolt iot module with the Bolt cloud

digital ocean droplet

Ubuntu

for providing VPS which means virtual private network

mailgun.org

it provides the credentials by ehich if temperature cross the threshold so it can able to sends the alets via email

Story

Project Objective:

Build the circuit for temperature monitoring

system, using the BOLT module and LM35

sensor.

However I divided this entire project into two

parts: one is responsible for predict the

temperature and the second part is

responsible if temperature crosses the

threshold value so it sends the alert via email

for this process we use here software name

mailgun with the bolt module.

Now from here I’m going to describe our

project , in order to describe it I describe it in

various steps .

STEP NO: 01

In beginning of project firstly we form our

hardware , which requires three things:

1.LM35 sensor which detect the temperature

value.

2. female male wire for connection from

sensor to Bolt module.

3. Bolt module.

Now we make a proper connection

When connection with LM35 IS DONE then

we connect wires with the bolt module and

connect appropriately.

Now the connection with Bolt module is done

Now it is time to connect our Bolt module

with the laptop for the power supply and at

the time , when we provide the power supply

we also provide the internet connection to

the our Bolt module and result is , we get that

our bolt module both light green and blue is

on and they consistently glow , which means

everything is fine.

Now finally our hardware module is done .

STEP 02:

Here we go to the our Bolt cloud and try to

create a product

With the product name is : predict

_temperature. Here we also select typ of

connection and type of data and than further

proceed.

Now we go our home page of our bolt

module and click on the configure icon.

Now here when we click on configure icon

than it shows hardware and code section.

Here we set pin as A0 variable as ‘temp’.

STEP NO: 03

Till now our hardware section completed now

we go further for the code section , here we

choose the file name as well as file extension.

Here we write file name as “predict”

And the file extension is “.js” which means

javascript.

And now in code section we write the code in

The javascript language and after writing the

complete code we have to save this file and

than click on the cross button.

Now we save this and click the cross button.

So we get the our home page of bolt cloud

Now we click on link button and link the our

Bolt cloud with the Bolt module .

For this firstly we select the our bolt module

and than link to the our cloud .

Now we click on “deploy configuration”.

button so that the data which sense by our

sensor (LM35) get upload on the bolt cloud.

STEP NO: 04

Now when data uploaded on cloud

completely than we click on “action” button

so appropriate output we will get..

And on basis of this we can predict some

future values

And after that we wait some time bt which

some sufficient amount of data will uploaded

on bolt cloud .

Now we wait some time and after that we

receive some effective output.

And on basis of that we can predict

After some time we get such effective output

and now the turn of prediction which occurs

in between time and temperature.

Wherever our normal output;

Now our one section is over and our other

main concern is IF TEMPERATURE CROSSES

THE THRESHOLD SO IT SEND ALERT via email

or msg.

Now instead of Bolt cloud here we use linux

Ubuntu server .

Before this firstly we make our account on the

mailgun.org and take all the required

credentials .

STEP NO: 05

Now we open the virtual box and than open

the Ubuntu linux operating sys, now we open

command line or terminal..

Firstly we create a python file by using

command “ sudo nano email_conf.py”

Now after this we enter in this file and we

write all the required credentials , like api id ,

bolt id , url etc.

Now after this we must save this file, by ctrl+x

than Y than enter.

Now again command line open , here we

must create one other file

1 / 2

Here the file name is “temp_email.py”

And we use the command “ sudo nano

temp_email.py”.

After writing command we must enter the

password

Than our new file will created successfully

and we go inside it and now we write the

appropriate code here.

Now writing the complete code

Now we save this file via ;

Cntrl+X than Y than enter.

Finaly our second file will save and again the

linux command line open in front of us;

Now it is the time to run the code ;

To run the code ;

We use the command

“sudo python3 temp_email.py”

Now after providing the appropriate

command to the command line our code will

successfully run and provide us the output.

what temp at a particular time.

Code

import email_conf
from boltiot import Email, Bolt
import json, time

minimum_limit = 300 #the minimum threshold of light value 
maximum_limit = 600 #the maximum threshold of light value 


mybolt = Bolt(email_conf.API_KEY, email_conf.DEVICE_ID)
mailer = Email(email_conf.MAILGUN_API_KEY, email_conf.SANDBOX_URL, email_conf.SENDER_EMAIL, email_conf.RECIPIENT_EMAIL)


while True: 
    print ("Reading sensor value")
    response = mybolt.analogRead('A0') 
    data = json.loads(response) 
    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)
    time.sleep(10)

Credits

Aditya kumar Pandey

1 project • 0 followers