基于模糊逻辑的汽车火灾探测与控制系统的设计与实现

R. Sowah, K. O. Ampadu, A. Ofoli, K. Koumadi, Godfrey A. Mills, Joseph Nortey
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引用次数: 42

摘要

消防在公路运输中的巨大好处怎么强调都不过分。然而,每天有两千多辆汽车被不必要的火灾烧毁。在全球范围内,汽车和保险行业在过去10年里的爆炸性损失已经达到了数十亿美元。一个不那么遥远的因素是汽车上缺乏复杂的消防安全系统。通过在Arduino微控制器系统上设计和实现带有反馈的模糊逻辑控制系统来解决这一问题。该自动系统由火焰传感器、温度传感器、烟雾传感器和一个重新设计的移动二氧化碳空调装置组成,并在一辆中型实体车上进行了测试。结果表明,该汽车火灾测控系统无虚警,能在20秒内检测到并扑灭火灾。利用新的算法和模糊逻辑,开发了一种创新的、非常有前途的汽车火灾探测与控制硬件实现解决方案模块。
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Design and implementation of a fire detection and control system for automobiles using fuzzy logic
The immense benefits of fire in road transport cannot be overemphasized. However more than two thousand vehicles are damaged by unwanted fire on a daily basis. On a global scale, incendiary losses to the automobile and insurance industries have ran into billions of dollars over the last decade. A not-so-distant contributory factor is the lack of a sophisticated fire safety system on the automobile. This has been addressed by designing and implementing fuzzy logic control system with feedback over an Arduino micro-controller system. The automatic system consisting of flame sensors, temperature sensors, smoke sensors and a re-engineered mobile carbon dioxide air-conditioning unit was tested on a medium sized physical car. Results show that the automobile fire detection and control system devoid of false alarms, detects and extinguishes fire under 20 seconds. An innovative, very promising solution module for hardware implementation in fire detection and control for automobiles has been developed by using new algorithms and fuzzy logic.
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