Abstract
Aiming at the problem that the electricity meter in the metering cabinet can not be found in time when the measurement inaccuracy occurs in the long-term operation process, a method for monitoring the measurement inaccuracy of the electricity meter based on the intelligent measuring switch is proposed. The common causes of inaccurate measurement of electricity meter are analyzed. The method of judging the inaccurate measurement of electric energy based on intelligent measuring switch is designed, and the on-line monitoring process of inaccurate measurement is constructed. The effectiveness and feasibility of the proposed method are verified by real experiments. This method can predict the measurement abnormality of the electricity meter in advance and provide technical support for the management of the electric energy metering cabinet.
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References
Wei, W., Li, F., Li, L., et al.: Digital watt-hour meter running performance analysis and evaluation at non-standard load conditions. Sci. Technol. Eng. 18(9), 94–100 (2018)
Lai, G.: Data – driven online monitoring method of running state of electricity meter. Electr. Measur. Instrum. 60(4), 193–200 (2023)
Wang, S., Rao, Y., Chen, H., et al.: A monitoring method of voltage misalignment for the residential electricity meter based on HPLC platform. Sci. Technol. Eng. 59(10), 154–160 (2022)
Zhang, K., Zhang, J., Du, W., et al.: Research on accurately identifying electricity stealing users based on linear regression. Electron. Des. Eng. 31(17), 51–55 (2023)
Zhang, Z.: Analysis method of inaccurate measurement of smart meter. Electr. Eng. 22(5), 85–88 (2021)
Li, Q., Wu, Y., Shi, J., et al.: Big data-based monitoring technology for smart circuit breaker line loss and measurement misalignment instruments. New Technol. New Prod. Chin. 17, 1–4 (2023)
Zhu, Z., Chen, H., Jiang, C., et al.: Study of measurement inaccuracy for an electric energy meter with abnormal voltage sampling resistance. J. South-Central Minzu Univ. (Nat. Sci. Ed.) 41(6), 682–688 (2022)
Xiong, D., Xu, W., Xiong, S., et al.: Research on topology recognition technology of intelligent measuring switch. Mod. Electron. Tech. 46(8), 130–136 (2023)
Liang, X., Liu, S., Li, T., et al.: Design of an object-oriented security communication protocol for electricity information system. Electr. Meas. Instrum. 56(4), 80–87 (2019)
Chen, W., Tian, L., Gao, F., et al.: Remote metering monitoring and evaluation of urban electric vehicle charging pile research on application of analysis system. Chin. Measur. Test 49(z1), 151–157 (2023)
Jin, W., Li, F., Zhou, L.: Ultra short-term industrial power prediction based on density peak clustering. Comput. Simul. 40(2), 84–88 (2023)
Li, B., Li, F., Zhou, D., et al.: Research on event monitoring and load feature extraction method based on residential electricity consumption data. J. Taiyuan Univ. Technol. 55(1), 2–11 (2024)
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Shi, M., Gan, Y., Zhao, Y., Liu, F., Wen, W. (2025). A Measurement Inaccuracy Monitoring Method of Electricity Meter Based on Intelligent Measuring Switch. In: Zeng, J., Zhang, LJ. (eds) Edge Computing – EDGE 2024. EDGE 2024. Lecture Notes in Computer Science, vol 15424. Springer, Cham. https://doi.org/10.1007/978-3-031-77069-2_1
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DOI: https://doi.org/10.1007/978-3-031-77069-2_1
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