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

A technology of fire early warning and Internet of Things, applied in fire alarms, biological neural network models, alarms, etc., can solve problems such as complex changes in environmental parameters in gas station oil tank farms, and achieve the effect of improving objectivity and credibility

Active Publication Date: 2019-12-13
天津政林科技有限公司
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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 e

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[0033] combined with Figure 1-6 , further describe the technical solution of the present invention:

[0034] 1. Design of the overall function of the system

[0035] The environmental multi-point fire warning system of the oil tank area of ​​the gas station realizes the detection of the environmental factor parameters of the oil tank area of ​​the gas station and the prediction of the multi-point fire risk degree of the gas station. The system is collected by the environment parameters of the oil tank area of ​​the gas station based on the ZigBee network The environmental multi-point fire warning subsystem of the platform and gas station oil tank area consists of two parts. The gas station oil tank area environmental parameter acquisition platform based on ZigBee network consists of gas station oil tank area environmental parameter detection node 1 and on-site monitoring 2. ZigBee communication between 2; the detection node 1 sends the detected environmental parameters of t...

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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...

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Application Information

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IPC IPC(8): G08B17/00G08B31/00G06N3/04
CPCG08B17/00G08B31/00G06N3/043
Inventor 马从国郇小城周红标周恒瑞马海波丁晓红王建国陈亚娟杨玉东张利兵金德飞
Owner 天津政林科技有限公司
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