| 基于物联网技术的智能电力计量系统研究 |
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| 引用本文： | 李慧聪,郑宽昀,徐锋,罗浩.基于物联网技术的智能电力计量系统研究[J].中州煤炭,2022,0(1):230-235. |
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| 作者姓名： | 李慧聪 郑宽昀 徐锋 罗浩 |
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| 作者单位： | （1.国网山东省电力公司，山东 济南 250002； 2.国电南瑞科技股份有限公司，江苏 南京 211100） |
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| 摘 要： | 针对智能电力计量系统在应用过程中存在数据采集滞后、数据管理能力差的问题，提出了基于物联网技术的智能电力计量系统，该系统又融入了基于无限深度神经网络模型的大数据处理算法，通过深度挖掘的数学算法实现电力计量数据的分析，同时也实现了电力计量数据的采集、传递和分析，提高了电力计量数据自动化、智能高效管理水平。试验表明，本研究的方法准确率高达92%以上，数据采集速度快。
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| 关 键 词： | 电力计量 数据采集 物联网技术 无限深度神经网络模型 深度挖掘 算法模型 |
Research on intelligent power metering system based on Internet of Things technology |
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| Li Huicong,Zheng Kuanyun,Xu Feng,Luo Hao.Research on intelligent power metering system based on Internet of Things technology[J].Zhongzhou Coal,2022,0(1):230-235. |
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| Authors: | Li Huicong Zheng Kuanyun Xu Feng Luo Hao |
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| Affiliation: | （1.State Grid Shandong Electric Power Company，Jinan 250002，China； 2.NARI Technology Development Co.，Ltd.，Nanjing 211100，China） |
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| Abstract: | Aiming at the problems of lagging data acquisition and poor data management ability in the application of intelligent power metering system,an intelligent power metering system based on Internet of Things technology is proposed.The system integrates the big data processing algorithm based on infinite depth neural network model,and realizes the analysis of power metering data through the mathematical algorithm of deep mining.At the same time,it also realizes the collection,transmission and analysis of power measurement data,and improves the automation,intelligent and efficient management level of power measurement data.Experiments show that the accuracy of this method is more than 92%and the data acquisition speed is fast. |
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| Keywords: | electricity metering data collection Internet of Things technology infinite deep neural network model deep mining algorithm model |
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