Design and Implementation of Fire Detection System

Oh-Hyun Kwon, Sung-Min Cho, Sun-myung Hwang
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引用次数: 23

Abstract

Most of the fire detection are performed by sensor-based systems which have perceived the temperature and smoke by themselves and utilized in various type of industry after combining with the fuzzy theory. Generally this kind of methodology is useful for many spots of fire occurrences. However, it could not satisfy the requirement of accuracy and reliability on some environment. For example, large spaced factories, common area of electric power facility, communication facility are vulnerable to the sensing accuracy and too expensive to cover the entire place. Thus, fire might spread widely over the spots and hard to extinguish even though those sensors detect the fire. For the more it could be worse in the area that causes high temperature, humidity, dust, vibrations. In this study, we tried to improve the problems by using camera image processing instead of sensors. We designed the prototyped system and implemented it after suggesting some type of fire detection algorithm.
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火灾探测系统的设计与实现
大多数火灾探测都是基于传感器的系统,这些系统可以自行感知温度和烟雾,并结合模糊理论应用于各种工业领域。一般来说,这种方法对许多发生火灾的地点都很有用。然而,在某些环境下,它不能满足精度和可靠性的要求。例如,大间距的工厂,电力设施的公共区域,通信设施容易受到传感精度的影响,并且太昂贵而无法覆盖整个地方。因此,即使这些传感器探测到火灾,火灾也可能大面积蔓延,难以扑灭。在导致高温、潮湿、灰尘、振动的地区,情况可能会更糟。在本研究中,我们尝试用相机图像处理代替传感器来改善这些问题。我们设计了原型系统,并在提出了某种类型的火灾探测算法后实现了它。
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