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Statistical detection methods in the fire early warning

Author: ZuoLiYing
Tutor: ZhangRenCheng
School: Huaqiao University
Course: Detection Technology and Automation
Keywords: Early fire detection Process characteristics NP criteria Sequence check
CLC: TU998.1
Type: Master's thesis
Year: 2008
Downloads: 52
Quote: 0
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Abstract


The fire not only claimed human life and property , but also damaged the ecological environment and natural resources for human survival , a serious threat to the safety of human survival . Therefore, to study the fire broke the law of development of accurate and reliable early fire detection of vital significance . Contemporary fire detection technology major problem to be solved is the early alarm to reduce false positives and false negatives , while early alarm and reduce the false alarm rate is precisely the contradiction , which put forward higher requirements for fire detection technology . Gas fire with fire synchronization produce concentration changes reflect the real process of fire and gas propagation speed , suitable for early fire detection . CO gas as a fire early characterization of gas , the establishment of the experimental system of early fire detection technology based on Fourier transform infrared spectroscopy , carried out a large number of limited space fire simulation , and concentration data processing , eliminate the random component of the data , concentration data obtained contains fire process feature information . On the basis of statistical detection theory analysis of fire warning , fire the unique characteristics of the non-stationary random process , build a fire detection discrimination system model , NP guidelines combined with improved time series method to judgment fire place. The NP criteria need not decide a priori probability as well as the characteristics of the cost function is very suitable for fire detection ; thought the introduction sequence detection NP criteria for judgment domain is divided into the alarm zone , the three regions of the rejection region and non- fire zone , to overcome the NP criteria vouchers observations make a judgment could easily cause false positives, the shortcomings of omission ; the traditional sequence test optimization improvements , fixed observation dimension , in the form of a moving window update sample is to improve the performance of the detector , which will help to achieve continuous fire warning . Experiments show that the detection method in the early smoldering able to accurately determine the risk of fire, no false negative or false positive . Compared to traditional detectors , the method is effective in prevention and early warning of fire .

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CLC: > Industrial Technology > Building Science > Municipal Engineering > Other municipal works and utility equipment > Fire control
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