基于烟雾粒子光谱分析的火灾探测技术研究

Soyoung Park, K. Han, Kangbok Lee
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引用次数: 2

摘要

本文介绍了一种通过对烟雾颗粒的光谱分析来分析烟雾的类型和火源,从而确定是否存在火灾以及火灾来自何处的技术。该技术分为传感器根据烟雾颗粒的光反应获取光谱数据的部分,以及通过对光谱数据的智能分析判断是否为火灾和火灾类型的部分。传统的光电烟雾探测技术是通过分析根据烟雾颗粒的大小和浓度而变化的光反应来确定是否发生了火灾。与传统的光电烟雾探测技术不同,该技术有望通过使用识别烟雾类型和烟雾产生原因的方法来减少非火灾报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on fire detection technology through spectrum analysis of smoke particles
This paper presents a technique for determining whether a fire is present and where the fire comes from by analyzing the type of smoke and the source of fire through spectral analysis of smoke particles. The technique can be divided into the part that acquires the spectral data according to the photoreaction of the smoke particles by the sensor, and the part that determines whether it is a fire and the type of fire through intelligent analysis of the spectral data. Unlike conventional photoelectric smoke detection techniques that determine whether or not a fire has occurred by analyzing the photoreaction the varies depending on the size and concentration of smoke particles, the proposed technique is expected that it can contribute to the reduction of non-fire reports by using a method of identifying the type of smoke and cause of smoke generation.
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