Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Tunnel fire early-warning controlling method based on multi-sensor data fusion technology and system using the same

A data fusion and multi-sensor technology, which is applied to fire alarms, instruments, alarms, etc., can solve the problems of system alarm threshold change adjustment, single sensor setting structure, and insufficient performance of system perception of environmental parameter changes, so as to reduce fire judgment. Error, reduce the effect of misreporting rate and false negative rate

Active Publication Date: 2013-06-05
四川九通智路科技有限公司
View PDF7 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention aims to solve the shortcomings of the existing tunnel fire warning system, such as the single structure of sensors, the insufficient performance of the system to perceive changes in environmental parameters, and the inability to adjust the system alarm threshold according to changes in environmental parameters, and proposes a new type of tunnel based on multi-sensor data fusion technology Fire early warning control method and system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Tunnel fire early-warning controlling method based on multi-sensor data fusion technology and system using the same
  • Tunnel fire early-warning controlling method based on multi-sensor data fusion technology and system using the same
  • Tunnel fire early-warning controlling method based on multi-sensor data fusion technology and system using the same

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Referring to the attached picture:

[0043] 1. The control method of tunnel fire early warning system based on multi-sensor data fusion technology includes:

[0044] 1) Historical data recording of the main sensor group, the data processing device records the data of the main sensor group in the past 24 hours at intervals of 5 minutes;

[0045] 2) Regularly read the data of the secondary sensor group, and the data processing device regularly reads the data of the secondary sensor group at intervals of 60 minutes;

[0046] 3) Neural network, which means that the data processing device calculates the fire threshold of the main sensor group under the current environmental parameters by using the historical data of the main sensor group and the data of the auxiliary sensor group as input data through a preset operation rule;

[0047] 4) Calculation result return means that the data processing device transmits the fire threshold of the main sensor group under the current en...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A tunnel fire early-warning controlling method based on multi-sensor data fusion technology and a system using the tunnel fire early-warning controlling method based on the multi-sensor data fusion technology comprise steps as below: recording of history data of a main sensor group, reading of data of an auxiliary sensor group at a regular time, calculation of a neural network, passing back of a calculation result, execution controlling on site and the like, and the system specially using the tunnel fire early-warning controlling method based on the multi-sensor data fusion technology comprises a site detection device, a data processing device and an alarming displaying device. The tunnel fire early-warning controlling method based on the multi-sensor data fusion technology comprises a dynamic and flexible fire disaster threshold value adjusting method, namely, a method calculating with a neural network to analyze current data of the history data of the main sensor group and the auxiliary sensor group to obtain a fire disaster threshold value of current environment factors, and the original fire disaster threshold value is replaced by the new fire disaster threshold value. The tunnel fire early-warning controlling method based on the multi-sensor data fusion technology can effectively reduce judgment differences of a fire disaster caused by changing of environment of the tunnel, and reduce misstatement rate and missing reporting rate of the funnel fire disaster early-warning system.

Description

technical field [0001] The invention relates to a tunnel fire warning method and a system thereof. Background technique [0002] Tunnels are relatively special buildings. Once a fire breaks out, escape and rescue work is quite difficult. Therefore, an efficient tunnel fire early warning system is of great significance to eliminate fire hazards and protect people's lives and property safety. [0003] At present, the commonly used tunnel fire alarm systems mainly use detection and detection methods such as heat-sensitive alloy wire type, optical fiber type and dual-wavelength flame detector type. With the development of sensor technology, multi-sensor data fusion technology is gradually applied to the tunnel fire warning system. Compared with traditional fire detection, multi-sensor data fusion technology can effectively reduce the false alarm rate of fire early warning system. [0004] However, the tunnel fire warning system using multi-sensor data fusion technology report...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G08B17/00G06N3/02
Inventor 沈立峰黎翔赵俊斌陈炯叶子威付明磊乐孜纯
Owner 四川九通智路科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products