Comprehensive pipe gallery fire early warning method fusing multi-source parameters and gradient information thereof

Abstract

The invention discloses a comprehensive pipe gallery fire early warning method fusing multi-source parameters and gradient information thereof, and relates to the field of fire early warning, and themethod comprises the steps: S1, building a fire risk prediction model; S2, collecting temperature, smoke concentration and carbon monoxide concentration, importing the temperature, smoke concentrationand carbon monoxide concentration into a fire risk prediction model, and determining gradient information; S3, determining a fire type through the gradient information and a fire risk prediction model, obtaining a fire probability, and carrying out fire early warning. According to the method, a fire risk prediction model based on temperature, CO concentration and smoke concentration is established; gradient information of temperature characteristic parameters is used; auxiliary judgment is carried out according to the continuous state of the CO and smoke concentration change rate; therefore,by means of the environment change conditions, the multi-source parameter decision probability and the fire decision value of the parameter gradient are obtained; and then the final fire probability value is obtained through weighted fusion of the multi-source parameter decision probability and the fire decision value. According to the method, the current fire behavior is judged through the proposed decision mode instead of using the output value of a single model as the judgment basis of the fire anymore, so that the reliability and real-time performance of fire judgment are improved.

Description

technical field [0001] The invention relates to the field of fire early warning, in particular to a fire early warning method for a comprehensive utility gallery that integrates multi-source parameters and gradient information. Background technique [0002] The comprehensive pipe gallery is an underground urban comprehensive pipe corridor that integrates electrical pipelines, gas pipelines, water supply and drainage pipelines, communications, and heating pipelines. In order to ensure the operation safety of the comprehensive pipe gallery, multiple early warning system for disasters. Fire is one of the main monitoring objects for the environmental safety of comprehensive utility corridors, and it is necessary to establish a fire early warning system with early warning capabilities and high accuracy. Most of the traditional fire detectors use a single fire characteristic parameter such as gas concentration, smoke concentration, and temperature as the basis for fire judgment, ...

AI Technical Summary

Problems solved by technology

Most of the traditional fire detectors use a single fire characteristic parameter such as gas concentration, smoke concentration, and temperature as the basis for fire judgment, and are easily affected by external interference, resulting in false alarms and untimely early warning problems.

For example, a fire alarm that uses temperature monitoring only sends out an alarm signal when the temperature exceeds the threshold, and cannot monitor the rapid increase in temperature at the initial stage of a fire, and does not have fire early warning capabilities.

Moreover, if only a single fire characteristic parameter is monitored, it cannot be correlated with other parameters, which is prone to false positives and false negatives. The existing fire early warning algorithm that integrates multiple parameters, but the timeliness and accuracy of fire early warning still need to be improved

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