A multi-point fire early warning system based on the Internet of Things

Abstract

The invention discloses a multi-point fire early warning system based on the Internet of Things. The system is composed of a ZigBee network-based gas station oil tank area environmental parameter acquisition platform and a gas station oil tank area environment multi-point fire early warning subsystem; The environmental multi-point fire early warning subsystem of the oil tank area of ​​the gas station is composed of multiple parameter detection units and multiple HRFNN fuzzy recursive neural network fire early warning classifiers; The environmental parameters of the oil tank area of ​​the gas station are characterized by nonlinearity, large lag, and complex changes in the environmental parameters of the oil tank area of ​​the gas station. The environmental parameters of the oil tank area of ​​the gas station are accurately detected and the fire warning is carried out, so as to improve the prediction of the fire parameters of the gas station and Fire accuracy issues.

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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