SMOKE DETECTING IOT DEVICE USING GAS

SENSOR

Department of Electrical and Electronics Engineering

Name Register number

SHUBHAKARINI. K 830122105044

Guided by
Mr. Mac Millen T J B.E,MBA
TRAINER
GOVERNMENT COLLEGE OF ENGINEERING,
SRIRANGAM.
 TABLE OF CONTENTS:
1. ABSTRACT

2. INTRODUCTION

3. PROBLEM STATEMENT

4. PROPOSED SYSTEM

5. COMPONENTS REQUIRED

6. SOFTWARE

7. BLOCK DIAGRAM

8. PIN DIAGRAM & OUTPUT

9. WORKING

10. CONCLUSION
1. Abstract
The abstract is a brief summary of the entire project. It
should highlight the main goal, methodology, key
results, and conclusion in a concise manner. Here's a
detailed description:
Example: The project proposes an innovative solution
for smoke detection using an IoT-based system. The
device uses a gas sensor to detect the presence of smoke
or harmful gases in the environment and sends real-time
alerts to the user via the Internet of Things (IoT). The
system integrates a MQ series gas sensor to measure
gas concentrations, a microcontroller for processing the
sensor data, and Wi-Fi connectivity for transmitting the
data to a cloud platform. The device can be used in
various environments such as homes, offices, or
industrial settings to enhance safety. The system is
designed to alert users through a mobile application or
web interface, providing timely warnings to mitigate
potential fire hazards.
2. Introduction
The introduction provides background information on
the project and its significance. It sets the stage for the
problem you're solving and why your solution is
important.
Example: In today’s world, fire accidents pose a
significant risk to both life and property. Early detection
of smoke or harmful gases can prevent potential
disasters by allowing timely evacuation or alerting
firefighting teams. Traditional smoke detectors, while
useful, are often limited in functionality, and they may
not always provide real-time data or remote monitoring.
This project aims to design and develop an IoT-based
smoke detection system that uses a gas sensor to detect
harmful smoke or gases and sends immediate alerts to
users. By utilizing the power of the Internet and modern
communication technologies, this system can help
improve safety and enable proactive actions.

3. Problem Statement
The problem statement outlines the issue you’re
addressing and why it is important to solve.
Example: Many residential, industrial, and commercial
buildings rely on conventional smoke detectors, which
lack remote monitoring capabilities and real-time alerts.
These detectors typically sound an alarm in the
presence of smoke but do not offer additional
functionalities like remote notifications or integration
with emergency services. As a result, a fire may not be
detected promptly, and valuable time is lost. This
project aims to fill this gap by providing a smart smoke
detection system that can detect the presence of smoke
and gases accurately, immediately notify users through
mobile apps or other platforms, and provide a more
reliable and timely response to fire hazards.

4. Proposed System
The proposed system section explains the design and
architecture of the solution you're implementing. It
gives an overview of how your system will work.
Example: The proposed system involves a smoke
detection device using an MQ-2 Gas Sensor for
detecting smoke and various gases (e.g., LPG, methane,
carbon monoxide). The sensor will be interfaced with a
microcontroller (such as an Arduino, Raspberry Pi, or
ESP8266/ESP32) that will process the sensor data. The
microcontroller will be connected to the Internet using
Wi-Fi or Bluetooth to send data to a cloud-based
platform or a mobile application. In case of smoke
detection, the system will trigger an alarm and notify
the user via push notifications. The user can then take
appropriate action, such as calling emergency services
or evacuating the premises. The system will be
designed to be low-cost, reliable, and easy to deploy.

5. Components Required
This section lists all the hardware and software
components needed for building the system.
 Gas Sensor (MQ-2, MQ-7, or MQ-135): Detects
smoke, methane, carbon monoxide, and other
gases.
 Microcontroller (Arduino, ESP32, Raspberry Pi):
Processes data from the sensor and controls the
system.
 Wi-Fi Module (ESP8266 or ESP32): Enables the
IoT functionality to send data to the cloud.
 Buzzer: Emits an alarm sound when smoke is
detected.
 LEDs (optional): Can be used for visual indicators
(e.g., green for normal, red for smoke detection).
 Power Supply (Battery or Adapter): Powers the
system.
 Mobile App (or Web Interface): For remote
notifications and monitoring.
6. Software
 Arduino IDE: For programming the
microcontroller.
 Blynk/ThingSpeak: For cloud-based data
visualization and notifications.
 Mobile App (Blynk or custom-built): Allows the
user to monitor smoke levels remotely.
 ESP8266/ESP32 Libraries: For network
connectivity and communication.
 MQ Sensor Libraries: For interfacing the gas
sensor with the microcontroller.

7. Block Diagram
8. Pin Diagram & Output
9. Working
This section explains how the system operates from
start to finish, step by step.
Example:
1. Initialization: The system starts up and initializes
the gas sensor, microcontroller, and Wi-Fi module.
2. Data Collection: The gas sensor continuously
monitors the air for smoke or hazardous gases. The
sensor detects changes in the air composition,
producing an analog signal.
3. Data Processing: The microcontroller reads the
sensor’s data and compares it to pre-defined
threshold values for smoke levels.
4. Decision Making: If the sensor data exceeds the
threshold value, the microcontroller activates the
buzzer and triggers a notification to the cloud or
mobile app.
5. Real-time Alerts: The system sends notifications to
the user’s mobile phone or a web-based dashboard,
indicating the presence of smoke.
6. User Action: The user can take appropriate action
(e.g., evacuate the premises, contact emergency
services) based on the alert received.
10. Conclusion
The conclusion summarizes the findings, contributions,
and potential future work for the project.
Example: This project demonstrates the successful
development of an IoT-based smoke detection system
using a gas sensor. The system provides real-time
smoke detection and alerts users via mobile
applications, enhancing safety by offering timely
notifications. This solution can be deployed in various
settings such as homes, offices, or factories to detect
fire hazards early and help prevent disasters. Future
improvements could include integrating the system with
emergency services or incorporating machine learning
algorithms for more accurate predictions of smoke
levels. Further optimization for power consumption and
scalability could also make this system more widely
applicable.