Identifying method and system for fire disaster

Abstract

The invention discloses an identifying method for a fire disaster. The identifying method comprises the following steps of: establishing a fire disaster identifying mathematical model for identifying whether the fire disaster occurs or not; collecting smog concentration values and temperature values in a detection area through a plurality of detectors; using the collected smog concentration values and the temperature values as input parameter values of the fire disaster identifying mathematical model, and obtaining a fire disaster identifying result according to output parameter values; and if the fire disaster identifying result is that the fire disaster occurs, outputting an alarming signal. Furthermore, the invention further discloses an identifying system for the fire disaster. The identifying system for the fire disaster provided by the invention is distinguished from a traditional threshold algorithm and a trend algorithm; through the established fire disaster identifying mathematical model, the fire disaster can be identified according to distribution of a smog field and a temperature field in the detection area and a development trend, and therefore, problems of a false alarm rate, too high leakage rate, too low reliability and too low sensitivity can be solved.

Description

technical field [0001] The invention relates to the technical field of fire identification. Background technique [0002] The gas, aerosol, smoke, flame and a large amount of heat produced during the combustion of a fire are collectively referred to as fire parameters. The determination of fire parameters can be used to identify and detect whether a fire has occurred. Due to the influence of lighting conditions, airflow changes, site environment and moving objects, the current fire identification and detection technology has certain disadvantages, such as high false alarm rate and low reliability. The reasons for false alarms in a non-fire environment are complex, and may be damage to hardware, or changes in environmental conditions and false interference. Moreover, since fire detectors (including temperature, smoke, light, etc.) generally process detection signals through simple threshold judgments and trend algorithms, the probability of false positives will increase gre...

AI Technical Summary

Problems solved by technology

Therefore, when the fire detector uses simple threshold judgment and trend algorithm to identify fires, if the threshold is set too low, the false alarm rate will be high; if the threshold is set too high, the sensitivity will be low, and the number of false alarms will increase accordingly.

Therefore, there is an urgent need to provide a fire identification method to solve the existing problems of high false positive rate and false negative rate and low reliability and sensitivity.

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