International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
Design And Development of Fire Fighting Robot Jay Sathe1, Vrushabh Raut2, Rahul Peddapelli3 , Janardhan Waghchaure4 , Mr.V.W.Bembrekar5 Mechanical Engineering Department, D.Y. Patil College of Engineering, Akurdi, Pune, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract -
tunnels. The aim is to detect and pinpoint the origin of a fire using image data obtained from two thermopile arrays. By accurately locating the source of the fire, this system enables effective positioning of fire extinguishers to prevent fire spread. Notably, this system holds great promise for implementation in closed environments due to its costeffectiveness and straightforward installation, thereby enhancing fire prevention measures.
This research paper discusses the design and development of a fire fighting robot based on the Arduino microcontroller platform. The robot is designed to navigate manually through an environment and extinguish fires using a water pump and nozzle pair. The paper presents the hardware and software components of the robot, including the motor control system, sensors, and algorithms for obstacle detection and fire detection (OpenCV). The robot is also equipped with a wireless communication (Bluetooth module) system that enables remote control and monitoring of its activities. Overall, this study demonstrates the feasibility and effectiveness of using Arduino-based platforms for the development of advanced firefighting robots.
2.2 A Survey on Fire Safety Measures for Industry Safety Using IOT Mon Arjay F. Malbog, Luisito Lolong Lacatan, Rhowel M. Dellos [2] In this study, various image processing algorithms were examined and multiple edge detection techniques were evaluated to identify the most effective approaches for fire detection using image processing. The RGB (Red, Green, and Blue) Colour Model and HSV conversion were utilized to extract fire-related features. Two edge detection methods were employed: Sobel, which detects vertical and horizontal edges separately, and Canny, which identifies edges while suppressing noise. By leveraging these algorithms, the detection of fire growth, particularly in the event of a disaster, becomes significantly more feasible through the application of image processing and advanced algorithms.
Key Words: Firefighting robot, Arduino Mega, Bluetooth module (HC-05), Water pump, ultrasonic sensor, flame sensor, smoke sensor (MQ9), Motor controller (L239D) , relays , buzzer , OpenCV / python.
1.INTRODUCTION Fire accidents are a significant threat to both human life and property. Despite advances in firefighting technology, firefighters continue to face numerous challenges while extinguishing fires, such as accessibility to the fire site, visibility, and smoke inhalation. This paper presents the design and development of a firefighting robot based on the Arduino microcontroller platform. The robot is equipped with a water pump and a range of sensors to detect fires and obstacles in its path. The robot is also capable of navigating manually through the environment and can be remotely controlled by a human operator. The use of Arduino platform makes the robot cost-effective and easily accessible for researchers.
2.3. Improvement of Fully Automatic Fire Extinguish System for Residential Use. Ryo Takeuchia , Kouki Yamaguchib, HayatoTakahashib, MasahikoHanadac , HiromichHanadac [3] This system has the capability to automatically initiate fire extinguishing in a household setting. Notably, it incorporates features that enable remote control operation of the extinguisher through a web browser interface. Furthermore, the system utilizes a Python program with OpenCV to process the infrared camera images. As a result, it can automatically detect fires and promptly alert the user. In this study, enhancements were made to expand the system's fire detection capabilities, allowing for the detection of a broader range of fire incidents.
The paper presents a step towards the development of advanced robotic systems that can assist firefighters in their tasks, making firefighting safer, more efficient, and effective.
2.4. Autonomous Fire Fighter Robot Based on Image Processing. A.Q.M. Sazzad Sayyed1, Md. Tasnimul Hasan1, Shakib Mahmoo1 [4] In this research paper, we introduce a design methodology and the practical realization of an affordable autonomous robot prototype. This robot can detect the presence of fire in its environment and taking appropriate actions to extinguish it. Equipped with a mounted camera, the prototype continuously captures video
2. LITRATURE SURVEY 2.1 Infrared Image Sensor for Fire Location, Alessandro Pesatori, Alessandro Magnani, Michele Norgia [1] This article presents a novel sensor and interpolation method for fire localization in enclosed settings like rooms or highway
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