Research on State Detection Method of Electrical Equipment Based on Wireless Sensor Network Signal Processing

Abstract

False alarms and omissions of key measurement signals may even affect the reliability of decision-making in power IoT system, lead to safety accidents and bring huge economic losses. In order to improve the reliability of system operation and the information management level of electrical equipment, it is necessary to identify and extract suddenly changed signals from massive measurement signals collected by wireless sensor networks, and to detect the working state of electrical equipment by judging the source of signals. Therefore, this article studies the state detection method of electrical equipment based on wireless sensor network signal processing. In the second chapter, a cluster splitting and merging method is designed to solve the problem that the existing detection methods tend to ignore the imbalance of cluster size. In the third chapter, according to the data characteristics of measurement signals collected by wireless sensor networks, a similarity measurement criterion for composite time series of measurement signals is proposed, and the corresponding distance matrix is generated based on this criterion. In the fourth chapter, wavelet decomposition is used to decompose the initial measurement signals collected by wireless sensor networks, and then the signals are compressed twice based on compressed sensing. Then the abnormal signal data information is imported into support vector machine for training to realize the real-time detection of abnormal signals of electrical equipment state. Experimental results verify the effectiveness of the proposed algorithm.

Energy Saving Routing Algorithm for Wireless Sensor Networks Based on Minimum Spanning Hyper Tree

“…Through a variety of large number of sensor devices, real-time collection and perception of changes in corresponding physical quantities are carried out, and then converted into information that can be transmitted through the network, and the collected information is gathered together [2]. At present, the equipment, network and data management technologies of WSN are expanding to more rich scenarios, including intelligent factories, smart cities and other fields [3][4][5][6][7]. Sensor nodes are deployed to collect data of products and machines for the operation of smart factories [8].…”