SYSTEMATIC DEVELOPMENT OF AN AUTONOMOUS ROBOTIC CAR FOR FIRE-FIGHTING BASED ON THE INTERACTIVE DESIGN APPROACH
Hussein O. Alshekhly M.N.A. Al-Aloosi R.A. Fakhri O.F. Aljibori H.S.S. Abdullah O.I.
27 May 2024Scientific Route
EUREKA, Physics and Engineering
2024#2024Issue 361 - 72 pp.
Fire incidences are classed as catastrophic events, which mean that persons may experience mental distress and trauma. The development of a robotic vehicle specifically designed for fire extinguishing purposes has significant implications, as it not only addresses the issue of fire but also aims to safeguard human lives and minimize the extent of damage caused by indoor fire occurrences. The primary goal of the AFRC is to undergo a metamorphosis, allowing it to operate autonomously as a specialized support vehicle designed exclusively for the task of identifying and extinguishing fires. Researchers have undertaken the tasks of constructing an autonomous vehicle with robotic capabilities, devising a universal algorithm to be employed in the robotic firefighting process, and designing a fuzzy controller algorithm that can be used in all expected scenarios. The use of a fuzzy logic algorithm in this design demonstrates the usefulness of this system, all factors are involved in which cases are previously identified and taught, as well as the overall map of the premises have been uploaded so that the system can identify the exact place of the fire source, and two types of fire have also been examined. When the performance of the foam pump, water pump, and robotic car motors is com-pared to the data from the f lam sensor, temperature sensor and GPS data, it demonstrates a high responsiveness in terms of applying the appropriate approach based on the type of fire due to the probable action for which the system has been trained. This will have the benefit of shortening the required process for fire extinguishment and using the appropriate fire extinguishing tools. This technology may be used to put out f lames, deploy in different areas, and handle a variety of fire scenarios inside buildings.
fire-fighter robot , flam sensor , fuzzy controller , GPS data , temperature sensor
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Department of Automated Manufacturing Engineering, AL Khwarizmi College of Engineering, University of Baghdad, 618 Jadrya str, Baghdad, 10071, Iraq
Department of Mechanical Engineering, College of Engineering, Gulf University, Alhakmaa str., Sanad, 26489, Bahrain
Al-Warith Center for Crowd Engineering and Management Research, University of Warith Al-Anbiyaa, 20 Baghdad Road, Karbala, 56001, Iraq
Department of Energy Engineering College of Engineering, University of Baghdad, 618 Jadrya str, Baghdad, 10071, Iraq
Department of Mechanics, Al-Farabi Kazakh National University, 71 al-Farabi ave, Almaty, 050040, Kazakhstan
Department of Automated Manufacturing Engineering
Department of Mechanical Engineering
Al-Warith Center for Crowd Engineering and Management Research
Department of Energy Engineering College of Engineering
Department of Mechanics
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