Monitoring method for verification data of electric energy meters

Yu Xing; Xianguang Dong; Yanling Sun; Min Li; Lingling Zhang

doi:10.1117/12.2679289

8 May 2023 Monitoring method for verification data of electric energy meters

Yu Xing, Xianguang Dong, Yanling Sun, Min Li, Lingling Zhang

Proceedings Volume 12635, Second International Conference on Algorithms, Microchips, and Network Applications (AMNA 2023); 126350Z (2023) https://doi.org/10.1117/12.2679289
Event: International Conference on Algorithms, Microchips, and Network Applications 2023, 2023, Zhengzhou, China

Abstract

As a metering device, the electric energy meter is used to detect the electric quantity at each detection point. This paper studies a monitoring method and system, storage medium, and terminal for the verification data of electric energy meters, involving the field of electric power. The main purpose is to improve the existing problem that the operating data in the verification process cannot be grasped in real time, and there is a risk of damaging the pipeline hardware, thus reducing the monitoring efficiency. The process includes analyzing the target verification items of the electric energy meter in the verification work order and determine the monitoring components matching the target verification items. After starting the verification operation of the electric energy meter, send the data acquisition command to the hardware monitoring subunit, and send the data recording command to the software monitoring subunit. If the problems found in the detection cannot be grasped at the first time, the pipeline hardware may be burnt, and other risks may be caused. Obtain the data collected by the hardware monitoring subunit and the operation status data recorded by the software monitoring subunit. Reduced monitoring is a problem of work efficiency. In reality, work efficiency is very important, especially in terms of risks and hidden dangers. Extract the hardware monitoring features of image data and/or infrared signals, and the software monitoring features of operation status data, and monitor the hardware monitoring features and software monitoring features based on the data status monitoring model to determine the monitoring results of verification data.

Citation Download Citation

Yu Xing, Xianguang Dong, Yanling Sun, Min Li, and Lingling Zhang "Monitoring method for verification data of electric energy meters", Proc. SPIE 12635, Second International Conference on Algorithms, Microchips, and Network Applications (AMNA 2023), 126350Z (8 May 2023); https://doi.org/10.1117/12.2679289

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KEYWORDS

Data modeling

Data acquisition

Infrared radiation

Infrared imaging

Feature extraction

Associative arrays

Databases

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