Research Article
Reliability Analysis of Power Side Information Acquisition Model Based on Wireless Sensor
@INPROCEEDINGS{10.1007/978-3-030-94185-7_30, author={Wen-Lin Xu and Xin-Ze Guo and Zi-Peng Hu and Chao Li and Kai Liu}, title={Reliability Analysis of Power Side Information Acquisition Model Based on Wireless Sensor}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={Wireless sensor network Power side Information distribution Information collection}, doi={10.1007/978-3-030-94185-7_30} }- Wen-Lin Xu
Xin-Ze Guo
Zi-Peng Hu
Chao Li
Kai Liu
Year: 2022
Reliability Analysis of Power Side Information Acquisition Model Based on Wireless Sensor
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_30
Abstract
In order to improve the remote monitoring capability of power users’ power consumption information, a reliability analysis method of the power side information collection model based on wireless sensor is proposed. Through collecting and screening the operating data of the power side information collection model, detecting the running state of the information on the power side, and modifying the abnormal information by using the adaptive distributed characteristics of the wireless sensor nodes, The vector quantization method is used to process the information fusion of data acquisition, and the attribute classification of power user information is classified by pattern recognition technology. The quantitative fusion tracking method is used to mine and modify the power user information, so as to improve the reliability of the power side information acquisition model. The test results show that the reliability analysis method of the power side information acquisition model based on wireless sensor has higher accuracy in the practical application.
