Demonstration of the Application
Step 1: Setting up BOLT Cloud Account & Configuring BOLT Module
Step 2: Setting up Twilio and Telegram
Step 3: Configuring BOLT Cloud with BOLT Module
Step 4: Board Schematic and Data Visualization
Step 5: Virtual Private Server Setup and configuration
Step 6: Creating a Directory and coding necessary files
Step 7: Running the program and visualizing data

Published July 10, 2020 © MIT

IOTBased_Fire_Alarm_System by Akella Niranjan

An IOT based Fire alarm system using BOLT IOT Module through a Linux OS on the Digital Ocean Cloud.

AdvancedFull instructions provided3 hours384

IOTBased_Fire_Alarm_System by Akella Niranjan

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

Solderless Breadboard Half Size

LED (generic)

Resistor 10k ohm

Buzzer

Temperature Sensor

Jumper wires (generic)

USB-A to Micro-USB Cable

Internet Connected Computer

Software apps and online services

Bolt IoT Bolt Cloud

Bolt IoT Android App

Twilio SMS Messaging API

Digital Ocean Cloud

Linux OS

Story

In the present day scenario, all our basic needs and services are integrated by electronic devices. These devices are power-hungry and are delicate, which make them vulnerable to harsh environments.

Due to the immense flow of energy through these electronic appliances, there is a wide range of possibilities for major fire accidents. So, In order to safeguard these appliances and to save lives, there is a potential need for a Smart application which detects such incidents and quickly notify the concerned authorities, so that any further problems can be quickly resolved.

This Fire Alarm System can be used in the following scenarios: -

Pharmaceutical Industries.
Schools/Colleges etc.
Buildings/ Factories etc.

Demonstration of the Application

The above demonstration shows the working of the mechanism.

Now let's see how to build such a mechanism in detail.

Step 1: Setting up BOLT Cloud Account & Configuring BOLT Module

Sign up for the BOLT Cloud account from this link https://cloud.boltiot.com/
Then power on your BOLT Module with the USB cable.
Initially, a Blue LED Starts Blinking Slowly which indicates that the module is ON but is not connected to the network (Wi-Fi).
Now use the BOLT Android App to connect the module to the wifi.
As, soon as you open the App, Login with the same credentials as the BOLT Cloud.
Then tap on the Add Device button on the bottom of the screen & Follow the steps mention on the screen carefully.
After the Setup is complete the Green LED turn ON which indicated that the device in Online which can also be seen on the Devices section on the BOLT Cloud page. i.e, Devices > STATUS

Step 2: Setting up Twilio and Telegram.

Sign up for the Twilio Service Here: - https://www.twilio.com/
After setting up the account, Go into the settings tab and Note down the SID and the Authentication key for the account.

In the Programmable Messages section Signup in it and verify your number. Later you will be allocated with an international number, kindly note it down.

Sign up for the Telegram through the Telegram App on the App Store/ Play Store using your mobile number.
Then On the chat search type BotFather and tap on the first result with a bluetick.
In that tap on start and then create a bot. Then set a valid name for your bot.

Name the bot and note down the token with a prefix of bot[xxxtokenxxx].

Then come back to the home screen of telegram and on the Left hamburger menu Add a New Channel.

And in that channel add the bot that you have created through bot father as an administrator in the setting of the channel. Also, note down the ChannelChatID which is the Channel Type i.e. @xxxxxxxxx.

Step 3: Configuring BOLT Cloud with BOLT Module

On the BOLT Cloud, go to the Devices menu on the left side and check whether your module in online or not. Then select the 3 dots button the dashboard and select Device Info.
Select the update the firmware version option. (SKIP THIS STEP IF IT IS UP TO DATE).
After updating. Go into the products menu and click on "+Add Product" option. Then name your product and select the type as "INPUT DEVICES" & "GPIO".
After you finish creating the product, Click on the "Link Device to this Product" option on the top right panel.
And then link your bolt module to the product. Now you bolt module will be visible on the product Dashboard.
Then select the "ConfigurethisProduct" option on the top right panel.
Now in the Hardware panel, select the A0 Radio Button on the boards schematic and then on the right panel set the variable name as "temp".
In the Code panel, input a name to your file and select the file type from the dropdown as ".js".
For the JavaScript code, please refer to the CodeSection below.
Then click on the safe button and exit the menu.

Step 4: Board Schematic and Data Visualization

Parts required for the project are: -

Give proper board connection as per the diagram below: -

After giving proper connection Power on the device and on the product's dashboard, click on the "Deploy Configuration".
Then click on the "View this device" option which directs you to a new page where your data is represented in a Graphical method.

Step 5: Virtual Private Server Setup and configuration

The online cloud service that we will be using here is from Digital Oceans.
Sign up for the Digital Ocean account here: - https://www.digitalocean.com/
After Signing up select create a droplet. Secondly, select the basic 5$ /month plan to get started with and then select Ubuntu 64-bit as the operating system. Then set the root password for your OS.
Once your operating system is set up note down the IP address of the VPS from the Dashboard.
Then in your computer install putty client software to access your cloud droplet. Type the IP address of your droplet and then press enter.
It will ask you for the login credentials where you need to enter your Username (Mostly root for ubuntu ) and the password (One which you have set up earlier as the root password.). Then you will be logged into the terminal.
Enter the following commands one after the other to complete set up and to install the bolt library.

sudo apt-get -y update
sudo apt-get -y upgrade
sudo apt install python3-pip
sudo pip3 install boltiot

Step 6: Creating a Directory and coding necessary files

Create a working directory.

cd ~
sudo mkdir BOLT_WorkSpace

Make a python file which consists of the necessary credentials for the project (Auth codes and API codes etc.).

sudo nano config.py

For the code in the config.py kindly refer the Code Section below. After writing the code, press the keys Ctrl+X --> Y --> Enter, this saves the file.
In the same directory make another python file which consists of the main code for the project.

sudo nano Fire_Alert.py

For the code in the Fire_Alert.py kindly refer the Code Section below. After writing the code, press the keys Ctrl+X --> Y --> Enter, this saves the file.

Step 7: Running the program and visualizing data.

After completing all the steps above, run the python program.

python3 Fire_Alert.py

OUTPUT RECEIVED on the command line:

Message Alert in the form of SMS from Twilio & on Telegram.

1 / 3

Graphical Representation of Data in the form of Multiple Graph (Line, Bar & Scatter):

Code

""" BOLT Cloud Access Parameters. """
bolt_api = "YOUR BOLT CLOUD API KEY GOES HERE"
device_id = "YOUR BOLT MODULE DEVICE ID [BOLTXXXXXX]"

""" Twilio Message control access Parameters. """
Twilio_SSID = "YOUR TWILIO ACCOUNT ACCESS SID"
Twilio_Auth = "TWILIO MESSAGING AUTHENTICATION KEY"
Twilio_Number = "YOUR TWILIO ALLOCATED NUMBER"
My_Number = "RECIPIENT NUMBER"

""" Telegram Access Parameters. """
Telegram_ChatID = "@CHAT ID OF THE TELEGRAM CHANNEL"
Telegram_bottoken = "TELEGRAM BOT TOKEN START WITH BOT[FOLLOWED BY TOKEN]"

""" Threshold Level for the Fire Alarm. """
threshold = 35

""" Hello, I am Niranjan, Welcome to my project IOT_Based_Fire_Alaram_System using BOLT IOT Module. """
""" Import all the necessary libraries for the project. """
import config, json, time, requests
from boltiot import Bolt,Sms

""" BOLT Cloud and the Twilio Messaging access Parameters. """
bolt = Bolt(config.bolt_api,config.device_id)
sms = Sms(config.Twilio_SSID,config.Twilio_Auth, config.My_Number, config.Twilio_Number)

""" Function for getting the temperature sensor values from the analog ‘A0’ pin on the BOLT Module. """
def getSensorValue(x):
        try:
                response = bolt.analogRead(x)
                data = json.loads(response)
                if data["success"] != 1:
                        print("Request Falied!!!")
                        print("The Received Response is:", data)
                        return 0
                sensorValue = int(data['value'])
                return sensorValue
        except Exception as error:
                print("Error Occured while returning sensor value")
                print(error)
                return -1

""" Function for sending a message to the desired number through the Twilio Messaging Service. """
def MessageAlert(value):
        try:
                a = sms.send_sms("Hello!, Niranjan the current temperature value is :" + str(value) + " degrees")
                print("The response from Twilio is :" + str(a.status))
        except Exception as error:
                print("Error!!! While send Message")
                print(error)

""" Function for sending an alert message to the desired recipient through the Telegram Messaging Service. """
def sendTelegram (message):
    url = "https://api.telegram.org/" + config.Telegram_bottoken + "/sendMessage"
    data = {
        "chat_id": config.Telegram_ChatID,
        "text": message
    }
    try:
        response = requests.request(
            "POST",
            url,
            params=data
        )
        print("Response From Telegram")
        print(response.text)
        telegram_data = json.loads(response.text)
        return telegram_data["ok"]
  except Exception as error:
        print("Error Occured while send Telegram")
        print(error)
        return False
        
""" The main code sequence. """
while True:
        """ Calling the getSensorValue function to get the temperature value from the BOLT Module. """
        ValueOfSensor = getSensorValue('A0') 
        
        """ Converting the received value into degree Celsius. """
        ValueOfSensor = int(ValueOfSensor/10.42)
        
        print("Hi! Niranjan, The current temperature is :", ValueOfSensor," degrees")
        if ValueOfSensor == -1:
                print("Request Unsuccessful!!!")
                time.sleep(10)
                continue
        if ValueOfSensor >= config.threshold:
                print("ALERT!!!! FIRE!!!- Something is Burning!!!")
                
                """ Triggering the Buzzer and the LED. """
                bolt.digitalWrite('0','HIGH')
                bolt.digitalWrite('1','HIGH')
                
                """ Sending the alert message through the Twilio Service. """
                MessageAlert(ValueOfSensor)
                message = "ALERT!!, Hello !! Niranjan, The temperature in the vicinity is:" + str(ValueOfSensor)+" degrees"
                
                """ Sending the alert message through the Telegram Service. """
                TelegramMessageStatus = sendTelegram(message)
                print("Telegram Status is :", TelegramMessageStatus)
                
                """ As the above tasks take about 4 seconds approx. to complete, the below sleep is given as 6 . """
                time.sleep(6)
                bolt.digitalWrite('0','LOW')
                bolt.digitalWrite('1','LOW')
        time.sleep(10)

//Akella Niranjan's JavaScript for Data Visualization!!
var lineGraph = new boltGraph();
lineGraph.setChartType("lineGraph");
setChartTitle("Akella Niranjan's Graphs");
lineGraph.setAxisName('Time','Temperature');
lineGraph.plotChart('time_stamp','temp');
var barGraph = new boltGraph();
barGraph.setChartType("barGraph");
barGraph.setAxisName('Time','Temperature');
barGraph.plotChart('time_stamp','temp');
var scattergraph = new boltGraph();
scattergraph.setChartType("scatterGraph");
scattergraph.setAxisName("Time","Temperature");
scattergraph.plotChart('time_stamp','temp')
setAnimation(true);
dataDownload(false);

IOTBased_Fire_Alarm_System by Akella Niranjan

Things used in this project

Hardware components

Software apps and online services

Story

Demonstration of the Application

Step 1: Setting up BOLT Cloud Account & Configuring BOLT Module

Step 2: Setting up Twilio and Telegram.

Step 3: Configuring BOLT Cloud with BOLT Module

Step 4: Board Schematic and Data Visualization

Step 5: Virtual Private Server Setup and configuration

Step 6: Creating a Directory and coding necessary files

Step 7: Running the program and visualizing data.

Schematics

Circuit Diagram

Fritzing File.

Code

Python Config File Code

Main Python Code

Bolt Cloud JS Code

Credits

Niranjan Akella

Comments

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IOTBased_Fire_Alarm_System by Akella Niranjan

IOTBased_Fire_Alarm_System by Akella Niranjan

Things used in this project

Hardware components

Software apps and online services

Story

Demonstration of the Application

Step 1: Setting up BOLT Cloud Account & Configuring BOLT Module

Step 2: Setting up Twilio and Telegram.

Step 3: Configuring BOLT Cloud with BOLT Module

Step 4: Board Schematic and Data Visualization

Step 5: Virtual Private Server Setup and configuration

Step 6: Creating a Directory and coding necessary files

Step 7: Running the program and visualizing data.

Schematics

Circuit Diagram

Fritzing File.

Code

Python Config File Code

Main Python Code

Bolt Cloud JS Code

Credits

Niranjan Akella

Comments

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