Multi-point fire early warning system based on Internet of Things

Abstract

The invention discloses a multipoint fire early warning system based on the Internet of Things. The system is composed of a gas station oil tank area environment parameter acquisition platform based on a ZigBee network and a gas station oil tank area environment multipoint fire early warning subsystem. The gas station oil tank area environment multi-point fire early warning subsystem is composed of parameter detection units and HRFNN fuzzy recurrent neural network fire early warning classifiers. The system effectively solves the problem that an existing gas station oil tank area environment monitoring system is incapable of accurately detecting environment parameters and raising early warning against a fire hazard according to characteristics of nonlinearity, large lag and complexity of environment parameter change of the gas station oil tank area, and thus improves the accuracy of predicting the fire hazard parameters and fire hazard of the gas station.

Description

technical field [0001] The invention relates to the technical field of oil and gas environment automatic monitoring and early warning equipment, in particular to a multi-point fire early warning system based on the Internet of Things. Background technique [0002] The environment of the oil tank area of ​​the gas station mainly stores oil storage containers or pipelines. If there is a leak, flammable liquid vapor will be generated. When the vapor pressure is high, there will be a danger of combustion and explosion, and the flammable liquid is fluid. At normal temperature, it will catch fire and burn if it encounters a fire source. If the storage container leaks, it will continuously evaporate flammable steam during the flowing process. Once it comes into contact with the fire source, even the tiniest spark will cause combustion. The environmental site of the oil tank area of ​​the gas station has a great risk of explosion. If the fire safety management is not good, it is eas...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a multi-point fire early warning system based on the Internet of Things. The invention effectively solves the problem of non-linearity, large lag and gas station environmental monitoring system that does not change according to the environmental parameters of the gas station oil tank area in the existing gas station oil tank area. The environmental parameters of the oil tank area have complex changes, etc., and the environmental parameters of the oil tank area of ​​the gas station are accurately detected and the fire is warned, so as to improve the prediction of the fire parameters and fire accuracy of the gas station.

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