使用模糊逻辑方法和Arduino微控制器进行火灾隐患早期检测的原型

Ause Labellapansa, Nesi Syafitri, E. A. Kadir, R. Saian, Aqilah Saibah, M.S.B. Ahmad, Siti Nur'ain
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引用次数: 3

摘要

为了防止火灾发生,大多数建筑物和任何机构都需要采取防火措施。本研究探讨了利用传感器作为火灾指示参数的火灾隐患探测方法。火灾隐患检测系统是一个智能传感器与Arduino微控制器组装,以检测火焰,烟雾和气体。目前使用的大多数报警系统对周围环境的敏感性高,容易产生误报。本研究描述了一个原型报警系统,该系统将基于模糊逻辑方法准确地激活报警。系统采用模糊逻辑与Arduino连接,实现了125条模糊逻辑规则,输出有危险、潜在危险和不危险三个级别。结果表明,该系统的输出精度达到88%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prototype for early detection of fire hazards using fuzzy logic approach and Arduino microcontroller
Fire precaution action is required in most of the buildings and any of the institution for the prevention of fire disaster. This research discusses on detection of fire hazards using sensors as the parameter that indicates for fire. The fire hazard detection system is an intelligent sensor assembled with the Arduino Microcontroller to detect flame, smoke, and gas. Most alarm system that is being used nowadays has high sensitivity to the surroundings which tends to give a false alarm. This research describes a prototype alarm system that will activate the alarm accurately based on the fuzzy logic approach that has been implemented in the system. The system uses fuzzy logic to connect with Arduino and implemented with 125 rules of fuzzy logic with three levels of output namely dangerous, potentially dangerous and not dangerous. As a result, the output of the system shows 88% accuracy.
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