Electrical fire warning system based on data fusion

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...

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 concentration, so the CO 2 The rate of rise in fire identification has great limitations, and the CO in the early stage of fire 2 The ascent rate has no obvious characteristics, and will be subject to a lot of interference, resulting in a large number of false alarms

Images