Paper
28 October 2022 The acquisition system incorporating inaccurate replacement under the information technology
Xiao Chen, Yu Zhou, Yunlong Ma, Liming Wang, Zhuowen Mu, Xuesong Shao, Gaoying Cui
Author Affiliations +
Proceedings Volume 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022); 1245303 (2022) https://doi.org/10.1117/12.2659118
Event: Third International Conference on Computer Communication and Network Security (CCNS 2022), 2022, Hohhot, China
Abstract
With the application of information technology in the field of electric power, the emergence of smart meters(SM) has made the collection of electricity information data faster and more convenient, and its collection, processing and analysis of power data has become more intelligent and automated. The SM data acquisition system under the information technology can effectively reduce the input of manpower and material resources, monitor power data online, and feed back to relevant staff as soon as a problematic power meter is found, so that the power meter can be replaced quickly. SM data acquisition system online monitoring, data processing and analysis to quickly perform inaccurate replacement behavior can improve the user's power meter management level, improve the quality of power service, and improve the accuracy of meter measurement. The main research of this paper is the analysis of the collection system integrating the inaccurate replacement under the information technology, the analysis of the composition of the SM collection system, and the monitoring of the user's electricity consumption data. Next, the necessity of inaccurate replacement is explained, and the function analysis of the acquisition system that incorporates inaccurate replacement is carried out. This paper studies the data error of the electricity meter collection system, analyzes the current and voltage integration, and analyzes the electricity consumption data of the area where the SM collection system integrated into the inaccurate replacement is replaced. The research results show that after using the smart meter with inaccurate replacement, the abnormal situation of user power consumption data in this area gradually decreases. When the total number of lines is the same, the qualified rate of power consumption data gradually increases, from 95.89% in January to 99.32% in June.
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Xiao Chen, Yu Zhou, Yunlong Ma, Liming Wang, Zhuowen Mu, Xuesong Shao, and Gaoying Cui "The acquisition system incorporating inaccurate replacement under the information technology", Proc. SPIE 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022), 1245303 (28 October 2022); https://doi.org/10.1117/12.2659118
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KEYWORDS
Analytical research

Data acquisition

Data centers

Information technology

Error analysis

Data communications

Statistical analysis

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