Electrical fire warning system based on data fusion

An electrical fire and alarm system technology, applied in the direction of fire alarms, alarms, instruments, etc., can solve the problems of inconspicuous features, interference, false alarms, etc.

Inactive Publication Date: 2015-07-08
HENAN POLYTECHNIC UNIV
View PDF2 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When a fire occurs, a large amount of CO and CO 2 gas, but through CO 2 It is not feasible to distinguish a non-fire source from a smoldering fire because of the rate of rise of any living organisms in a confined space that would increase the CO 2 concentra

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
  • Electrical fire warning system based on data fusion
  • Electrical fire warning system based on data fusion
  • Electrical fire warning system based on data fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The specific implementation manners of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0070] Depend on figure 1 Given, the working conditions of the entire electrical fire alarm system are as follows: the sensor group (i.e. temperature, smoke and CO concentration sensors) in the information layer collects the temperature, smoke and CO concentration within the monitored range in real time according to the sampling cycle, and in the information layer Judging the signals of the sensor group, if there is no abnormality, that is, the requirements for transmission to the feature layer are not met, then return to continue collecting; if there is an exception, that is, the requirements for transmission to the feature layer are met, the signal will enter the feature layer for further fusion processing, until Fire identification; after the identification is completed, if it is judged that a fire has occurred, it wi...

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

The invention relates to an electrical fire warning system based on data fusion. According to the scheme, the electrical fire warning system comprises an information layer, a feature layer and a decision-making layer, and further comprises an electric arc detection device; when the electric arc detection device detects electric arc signals, the detected electric arc signals pass through a signal preprocessing device and a signal transmission device and then are transmitted to an early warning system to achieve system early warning, meanwhile, the feature layer is started to conduct fusion processing on fire feature signals collected by sensors, and when no electric arc is generated, the feature layer collects data of the information collecting layer in real time to carry out monitoring on electrical fires. In the electrical fire warning system, the phenomenon that electric arcs are generated before fire signals are generated in electrical fires is utilized, the early warning function of the system is achieved by detecting the electric arc signals, fuzzy logic is introduced while the neural network algorithm is adopted, the defect that the neural network is not easy to understand can be compensated for a large degree, accurate fitting can be carried out on existing fire data through the neural network, and fuzzy reasoning can be carried out through the fuzzy logic through a small amount of known fire data.

Description

technical field [0001] The invention relates to a fire alarm system, in particular to an electrical fire alarm system based on data fusion. Background technique [0002] Information fusion technology, also known as multi-sensor information fusion technology or data fusion technology, is a functional simulation of the way the human brain comprehensively handles complex problems. It uses computer technology to automatically analyze and optimize the combination of information collected by multi-temporal sensors according to certain criteria, so as to obtain a consistent and complete explanation and description of the detected target, and complete the required logical processing and decision-making. [0003] Multi-level processing of multi-source information is generally divided into information layer fusion, feature layer fusion and decision layer fusion. Each layer of information fusion abstracts the original data to a certain extent. Low-level information fusion has a low d...

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): G08B17/00
CPCG08B17/00
Inventor 余琼芳张晓辉余琼霞
Owner HENAN POLYTECHNIC UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products