Intelligent algorithm of electrical fire monitoring system based on data mining technology

Abstract

The electrical fire monitoring system will automatically alarm to tell people where the residual current is abnormal before the fire occurs, which greatly reduces the occurrence of fire. Use data mining technology to find useful data from a large amount of data recorded by the electrical fire monitoring system, so as to reduce the occurrence of electrical fires. The purpose of this paper is to study the electrical fire monitoring system with different intelligent algorithms, and obtain the residual current data of different materials and materials with different cross-sectional areas in each time period. And then the electrical fire monitoring system feeds back whether the identification is successful or not through data mining technology. Experiments showed that the recognition rates of electrical fire monitoring systems with different cross-sections of the same material are roughly the same, and the recognition rates of electrical fire monitoring systems with the same cross-section of different materials are also roughly the same, and their recognition rates are roughly above 90%. The electrical fire monitoring system deserves further research to find a system with a higher recognition rate.

Technical research on test method of the socket and switch of temperature monitoring alarm function

“…In order to effectively prevent and contain the occurrence of electrical fires, according to the process mechanism of electrical fires from heating, storing heat to generating open flames, research institutions and related enterprises in the field of electrical fires had applied electrical fire monitoring technology to develop various types of electrical fire monitoring products. By collecting the residual current [5], fault arc, temperature and other data generated in the process of fire, mathematical models were established to analyze the process data, and then to determine whether there is a hidden danger of electrical fire, and the goal of early warning of electrical fire was achieved [6][7][8]. The electrical fire monitoring products currently produced on the market are mainly divided into 4 categories, residual current electrical fire monitoring detectors, temperature measuring electrical fire monitoring detectors, fault arc electrical fire monitoring detectors and measuring thermal particle electrical fire monitoring detectors device.…”