A REVIEW PAPER ON AUTOMATED FIRE DETECTION

International Journal of Innovations in Engineering Research and Technology Pub Date : 2024-01-08 DOI:10.26662/ijiert.v11i1.pp10-13

Prof. Mote Ashwini Gopinath, Prof. Palmur Vinayak Vijay, Mr. Makarand Vilas Buddhe

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Abstract

Automated fire detection and localization systems play a pivotal role in enhancing early response mechanisms and minimizing the devastating impact of fires. This review explores recent advancements in technologies and methodologies related to automated fire detection and localization. The study encompasses a comprehensive analysis of various sensing technologies, including infrared, image processing, and machine learning-based approaches. The effectiveness of these systems in diverse environments, such as industrial facilities, residential spaces, and outdoor areas, is evaluated. The review delves into the challenges faced by existing systems, addressing issues related to false alarms, scalability, and real-time response. Additionally, advancements in the integration of Internet of Things (IoT) and artificial intelligence (AI) techniques for more robust fire detection and localization are discussed. The aim is to provide a thorough understanding of the current state of automated fire detection systems, their limitations, and the potential avenues for future research and development in this critical field.

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关于自动火灾探测的综述论文

自动火灾探测和定位系统在加强早期响应机制和最大限度地减少火灾的破坏性影响方面发挥着关键作用。本综述探讨了自动火灾探测和定位相关技术和方法的最新进展。研究全面分析了各种传感技术，包括红外线、图像处理和基于机器学习的方法。对这些系统在工业设施、住宅空间和户外区域等不同环境中的有效性进行了评估。综述深入探讨了现有系统所面临的挑战，解决了与误报、可扩展性和实时响应相关的问题。此外，还讨论了在整合物联网（IoT）和人工智能（AI）技术以实现更强大的火灾探测和定位方面取得的进展。目的是让人们全面了解自动火灾探测系统的现状、局限性以及这一关键领域未来研究和开发的潜在途径。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Journal of Innovations in Engineering Research and Technology

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