Hazard Classification of Toluene, Methane and Carbon Dioxide for Bomb Detection Using Fuzzy Logic

Dailyne D. Macasaet, A. Bandala, Ana Antoniette C. Illahi, E. Dadios, Sandy C. Lauguico
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引用次数: 2

Abstract

This paper intends to explore bomb detection technology by employing fuzzy logic in classifying Toluene, Carbon dioxide and Methane which are commonly used gases in bombs and other flammables. This research uses Matlab Fuzzy Logic toolbox in classifying gases into three hazard classifications- Safe, Hazardous, and Deadly based on gas concentration and exposure time. Provided in this paper are the standard gas levels which are considered safe to human with respect to exposure time. The output of the classification will help develop a more improved and accurate bomb detection system which is of great importance in today’s world.
基于模糊逻辑的炸弹探测中甲苯、甲烷和二氧化碳的危害分类
本文拟探讨利用模糊逻辑对甲苯、二氧化碳、甲烷等炸弹和其他易燃物中常用气体进行分类的炸弹探测技术。本研究利用Matlab模糊逻辑工具箱,根据气体浓度和暴露时间,将气体分为安全、危险和致命三种危害类别。本文提供的是就暴露时间而言被认为对人体安全的标准气体水平。分类的结果将有助于发展更完善和准确的炸弹探测系统,这在当今世界是非常重要的。
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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