🌏
International Engineering Publisher
Serving Researchers Since 2012

Design and Development of an Autonomous Multi- Sensor Based Fire Detection, Extinguishing and GSM Alert System using SIM Module

DOI : 10.5281/zenodo.22007015
Download Full-Text PDF Cite this Publication

Text Only Version

Design and Development of an Autonomous Multi- Sensor Based Fire Detection, Extinguishing and GSM Alert System using SIM Module

Dr. S. A. Kashid (1), Shraddha A. Kolhapure (2), Muktai P. Limbale (3), Ambika R. Gaudgaon (4)

(1) Assistant Professor, Department of Electronics and Telecommunication Engineering,

N. K. Orchid College of Engineering & Technology, Solapur, Maharashtra, India.

(2,3,4) Student, Department of Electronics and Telecommunication Engineering,

N. K. Orchid College of Engineering & Technology, Solapur, Maharashtra, India.

Abstract – Fire incidents can expose people and property to hazardous conditions, particularly when direct intervention is required. This paper presents the development of an autono- mous firefighting robot based on an Arduino UNO for detect- ing and responding to controlled fire conditions. Three flame sensors are arranged in different directions to provide infor- mation about the approximate direction of a flame, while an MQ-2 sensor is incorporated for smoke and combustible-gas detection. According to the sensor inputs, the Arduino controls four geared DC motors through two L293D motor-driver modules to guide the robot toward the detected fire region. A relay-operated water pump is used for fire suppression, and a servo motor adjusts the direction of the water nozzle. The sys- tem also incorporates a SIM800L GSM module that can send emergency SMS notifications and initiate calls to predefined mobile numbers when a fire or significant smoke/gas condi- tion is detected. The developed prototype demonstrates the feasibility of integrating sensing, autonomous movement, wa- ter-based suppression, and remote emergency communication within a compact embedded robotic platform.

Keywords – Arduino UNO, Autonomous Firefighting Ro- bot, Flame Sensor, MQ-2 Gas Sensor, L293D Motor Driv- er, SIM800L GSM

  1. INTRODUCTION

    Fire accidents can cause serious damage to human life, industrial equipment, and valuable property. In many emer- gency situations, firefighters are required to work in hazardous environments containing smoke, toxic gases, and high- temperature flames. To reduce human risk and improve safety, autonomous firefighting robotic systems are becoming an im- portant solution in modern fire safety applications.

    The proposed robot combines several functions within a single embedded platform. Three flame sensors provide direc- tional information from the left, centre, and right sides of the robot, while the MQ-2 sensor provides additional information about smoke and combustible gases. The Arduino UNO pro- cesses these inputs and controls four geared DC motors through two L293D driver modules. When a fire condition is identified, the robot approaches the detected region and acti- vates a relay-controlled water pump. A servo motor assists in

    positioning the water nozzle, while the SIM800L GSM mod- ule provides emergency SMS and call notifications to prede- fined users.

  2. LITERATURE SURVEY

      1. Arduino-Based Fire Fighting Robot

        Divya N. et al. proposed an Arduino-based autonomous fire-fighting robot integrated with flame sensors, smoke sen- sors, motor driver module, and water spraying mechanism. The robot was capable of detecting fire and automatically nav- igating toward the fire source for extinguishing operation. The system reduced direct human involvement in hazardous envi- ronments and improved fire safety applications. However, the robot performance was limited in obstacle-rich environments and complex fire conditions.

      2. Fire Fighting Robotic Vehicle

        Prof. Shaikh Z. A. R. et al. developed a fire-fighting robot- ic vehicle using Arduino UNO, flame sensors, ultrasonic sen- sors, servo motor, and water pump system for fire extinguish- ing applications. The robot could detect fire and move toward the affected area using motor driver circuitry. The proposed system improved safety during firefighting operations, but it mainly depended on RF communication and had limited sens- ing capability in large environments.

      3. Autonomous Fire Detection Robot

        S. Warhate et al. designed an autonomous fire-fighting robot capable of detecting fire using flame sensors and extin- guishing it through a water pump mechanism controlled by Arduino. The robot automatically scanned the surrounding environment and moved toward the fire source for suppres- sion. The system reduced firefighter risk during dangerous fire situations; however, it had limited decision-making capability and lower automation efficiency under dynamic conditions.

      4. Fire Fighting Robot using Image Processing

        Jay Sathe et al. presented the design and development of a fire-fighting robot using Arduino Mega, flame sensors, smoke sensors, Bluetooth module, OpenCV image pro-cessing, and

        ultrasonic sensors. The proposed system im-proved fire detec- tion accuracy using image processing and wireless monitoring techniques. Although the robot demonstrated effective fire detection performance, the use of camera modules and OpenCV increased the complexity and implementation cost of the system.

      5. Autonomous Arduino-Based Firefighting Robot

        Md. Mohiuddin Maruf et al. proposed an autonomous Ar- duino-based firefighting robot designed for laboratory envi- ronments using multiple infrared flame sensors, servo- controlled water spraying mechanism, and autonomous movement control system. Experimental results showed high flame detection accuracy and efficient extinguishing perfor- mance. However, the system was mainly focused on laborato- ry applications and required controlled environmental condi- tions for optimum operation.

      6. Limitations of Existing Systems

    The reviewed systems demonstrate different approaches to autonomous fire detection and suppression, but their capabili- ties vary with respect to sensing, navigation, communication, and system complexity. Some implementations concentrate mainly on flame detection and water spraying, whereas others introduce wireless communication, image processing, or IoT- based monitoring. These additional features can increase hardware requirements and implementation complexity. The proposed prototype focuses on combining multi-directional flame sensing, MQ-2 smoke/gas detection, autonomous motor control, servo-assisted water delivery, and GSM-based emer- gency notification in one comparatively simple embedded system.

    fire is located toward the left, centre, or right side. The MQ-2 sensor provides supplementary information related to smoke and combustible gases.

    The Arduino controls four geared DC motors through two L293D driver modules. The first driver operates the two mo- tors on the left side, while the second operates the two motors on the right side. This arrangement allows the robot to change its direction according to the detected flame position. When a fire condition is identified, the relay switches the water pump ON. A servo motor changes the orientation of the water nozzle to assist in directing the spray toward the detected region.

    The SIM800L GSM module communicates with the Ar- duino and is configured to send emergency SMS messages and make calls to predefined mobile numbers. The prototype is powered using an 18650 lithium-ion battery arrangement, with an LM2596 buck converter used where regulated low-voltage supply is required.

  3. PROPOSED SYSTEM

      1. System Overview

        The proposed system is an autonomous mobile robot in- tended for fire detection and controlled fire-suppression exper- iments. Arduino UNO is used as the main processing unit. Three flame sensors are positioned to obtain information from the left, centre, and right directions, while an MQ-2 sensor pro- vides an additional indication of smoke and combustible gases. The Arduino processes these sensor signals and controls four geared DC motors through two L293D motor-driver modules. One driver is assigned to the left-side motors and the other to the right-side motors, enabling differential movement. After a fire condition is detected, a relay is used to operate the water pump and a servo motor adjusts the nozzle direction. The SIM800L GSM module provides emergency SMS and call notification to predefined mobile numbers. Thus, sensing, movement, suppression, and remote notification are coordinat- ed through the Arduino-based control system.

      2. Block Diagram Explanation

        Figure 3.1 illustrates the functional arrangement of the proposed firefighting robot. Arduino UNO forms the central control unit and receives information from the flame sensors and MQ-2 sensor. The three flame sensors are placed in dif- ferent directions so that the controller can estimate whether the

        Fig. 3.1 Block Diagram of Proposed Fire Fighting Robot System

        Figure 3.2 presents the operating sequence of the firefighting robot. After power-up and system initialization, the Arduino continuously reads the flame and MQ-2 sensors. When no fire or smoke/gas condition is detected, the robot remains in the monitoring state. Once a fire condition is identified, the SIM800L module is used to provide the configured emergency notification. The three flame sensors are then used to estimate the direction of the fire, and the motor drivers control the robot’s movement toward that direction.

        After the robot reaches the detected fire region, the relay activates the water pump and the servo mechanism adjusts the nozzle position. The sensors continue to be monitored during the suppression process. If the fire condition persists, the suppression sequence continues; otherwise, the pump is switched OFF and the robot returns to a safe state.

        Fig. 3.2 Flowchart of Proposed Fire Fighting Robot System

  4. HARDWARE IMPLEMENTATION

    Fig. 4.1 Circuit Diagram of Proposed Fire Fighting Robot System

    Figure 4.1 presents the hardware arrangement and electri- cal connections of the developed firefighting robot. Arduino UNO serves as the main controller and interfaces with the flame sensors, MQ-2 sensor, motor-driver modules, relay, servo motor, and SIM800L GSM module.

    Three flame sensors are used to obtain directional flame information, while the MQ-2 sensor provides smoke and com-

    bustible-gas detection. Two L293D motor-driver modules are employed to control four geared DC motors. One driver con- trols the two motors on the left side and the second driver con- trols the two motors on the right side. Independent control of the two motor groups enables forward motion and directional turning.

    A relay module is connected to the Arduino to control the water pump. When the required fire condition is detected, the relay switches the pump ON. The servo motor is positioned near the water outlet and is used to adjust the spraying direc- tion. The SIM800L GSM module is connected to the Arduino for transmitting emergency SMS messages and initiating calls to predefined mobile numbers.

    The prototype uses an 18650 lithium-ion battery arrange- ment as its power source. An LM2596 buck converter is used to obtain the regulated supply required by the GSM module. The control electronics and modules share a common ground according to the implemented circuit configuration.

  5. RESULTS AND DISCUSSION

    The developed prototype was assembled by integrating an Arduino UNO, three IR flame sensors, an MQ-2 gas sensor, two L293D motor-driver modules, four geared DC motors, a servo motor, a relay-controlled water pump, and a SIM800L GSM module. During operation, the three flame sensors pro- vide information from the left, centre, and right directions, allowing the controller to estimate the approximate direction of a detected flame.

    The flame-sensor modules used in the prototype are infra- red-based devices. Their commonly specified sensing region is approximately 7601100 nm, and typical modules can detect a small flame at distances of up to about 80 cm under suitable conditions. The actual detection distance can vary with flame size, flame orientation, sensitivity adjustment, and ambient illumination. The MQ-2 sensor provides additional detection of smoke and combustible gases, with a commonly specified flammable-gas sensing range of approximately 30010,000 ppm. These values represent typical sensor specifications and should not be interpreted as measured accuracy of the devel- oped robot.

    Based on the sensor inputs, the Arduino controls the two L293D motor-driver modules to operate the left and right mo- tor groups. The robot can therefore turn toward the detected flame direction and approach the fire region. After reaching the target area, the relay activates the water pump, while the servo motor assists in directing the water nozzle. The SIM800L module provides remote emergency communication by sending SMS alerts and initiating calls to predefined mo- bile numbers.

    The prototype demonstrates the feasibility of combining multi-directional flame sensing, smoke/gas detection, autono- mous movement, water-based suppression, and GSM commu- nication in a single embedded platform. Further controlled experiments are required to quantify detection accuracy, re- sponse time, GSM notification time, and extinguishing per- formance under different operating conditions.

  6. ADVANTAGES

        1. The robot combines fire, smoke, and combustible-gas sensing in one platform.

        2. Three flame sensors provide approximate directional in- formation for autonomous movement.

        3. Two L293D modules enable control of four DC motors through separate left and right motor groups.

        4. The relay-controlled pump and servo mechanism provide automatic water delivery and nozzle positioning.

        5. The SIM800L module enables emergency SMS and call notification to predefined mobile numbers.

        6. The system uses commonly available embedded compo- nents, making the prototype relatively simple to imple- ment and modify.

  7. APPLICATIONS

    The developed prototype can be used for controlled fire- safety demonstrations in laboratories, workshops, educational institutions, research environments, and small storage areas. The platform can also serve as a foundation for developing more advanced autonomous firefighting robots for hazardous environments.

  8. FUTURE SCOPE

    Future development can focus on improving navigation, sens- ing, and communication capabilities. Ultrasonic or other ob- stacle-detection sensors can be incorporated to allow safer movement around obstacles. Camera or thermal sensing can be added for improved fire identification. IoT-based monitor- ing and autonomous path-planning techniques can further ex- tend the system’s capabilities. Improvements in battery man- agement, water-storage capacity, and pump control could also increase operating endurance. Further experimental evaluation under different flame distances, smoke levels, lighting condi- tions, and floor surfaces would help establish the practical performance of the system.

  9. CONCLUSION

An autonomous firefighting robot integrating multi- directional flame sensing, M-2 smoke/gas detection, differ- ential motor control, water-based suppression, and GSM emergency communication was developed using Arduino UNO. The three flame sensors provide approximate infor- mation about the direction of a fire, while the MQ-2 provides supplementary smoke and combustible-gas detection. The motor-control system enables the robot to approach the detect- ed fire region, and the relay-operated pump with a servo- adjustable nozzle provides the water-suppression function. The SIM800L module adds remote emergency notification through SMS and phone calls to predefined numbers. The de- veloped prototype demonstrates the feasibility of combining these functions within a compact embedded system. Further quantitative testing is required to evaluate detection accuracy, response time, communication performance, and extinguishing effectiveness under different operating conditions.

REFERENCES

  1. Prof. Shaikh Z. A. R., Pintu Kumar Mahato, Chitranjan Kumar, Aniruddh Ghayale, Mujjfar Shaikh, Fire Fighting Robotic Vehicles, International Journal of Innovations in Engineering Research and Technology (IJIERT), vol. 11, issue 02, Feb. 2024.

  2. Divya N., Dhamini J., Bhavitha B., Sudeep V Reddy, S. Christo Jeyan, Arduino Based Fire-Fighting Robot, International Advanced Research Journal in Science, Engineering and Technology (IARJSET), vol. 10, issue 6, June 2023.

  3. S. Warhate, Shubhangi G. Pote, Adarsh D. Balvir, Rakesh S. Dakhore, Fire Fighting Robot, International Journal of Science, Engineering and Technology, vol. 11, issue 5, 2023.

  4. Jay Sathe, Vrushabh Raut, Rahul Peddapelli, Janardhan Waghchaure, V.

    W. Bembrekar, Design and Development of Fire Fighting Robot, International Research Journal of Engineering and Technology (IRJET), vol. 10, issue 05, May 2023.

  5. Kiran, Keerthana Krishnan, Meghana M., Nikhita Mallasure, Sindhu S., Sunil Kumar D.S., Fire Detection and Direction Control of Fire Fighting Robot, International Journal of Computer Applications, vol. 184, no. 26, Aug. 2022.

  6. Md. Mohiuddin Maruf, M. Mahamudul Hasan Sagor, Sadiya Khanom Kanta, Md. Hafizul Imran, An Autonomous Arduino-based Firefighting Robot for Laboratory Environments, International Journal of Computer Applications, vol. 187, no. 28, Aug. 2025.

  7. Tawfiqur Rakib, M. A. Rashid Sarkar, Review Paper on Arduino Based Fire Fighting Robot, International Journal of Scientific & Engineering Research, 2022.

  8. Anantha Raj P., Srivani M., Internet of Robotic Things Based Autonomous Fire Fighting Mobile Robot, International Journal of Advanced Research in Engineering and Technology, 2021.

  9. Shang Gao, Zhiyang Zhang, Zihan Zhao, Mohsin M. Jamali, Vision and Infrared Sensor Based Fire Fighting Robot, IEEE International Conference on Robotics and Automation, 2020.

  10. J. Jalani, D. Misman, A. S. Sadun, L. C. Hong, Automatic Fire Fighting Robot with Notification, International Journal of Engineering Research & Technology, 2019.

  11. Nagesh M. S., Deepika T. V., Stafford Michahial, Dr. M. Sivakumar, DTMF Controlled Fire Fighting Robot, International Journal of Engineering Research, 2018.

  12. Megha Kanwar, Agilandeeswari L., IoT Based Fire Fighting Robot, International Journal of Innovative Research in Science and Engineering, 2020.