Cited By
View all- Chen Z(2024)Research on Power IoT Technology Integrating 5G Communication and Distributed ComputingApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-08529:1Online publication date: 3-May-2024
Research on The Application of Concentrated Meter Reading Technologies Based on Power Internet of Things
Pages 521 - 525
Abstract
In order to solve the problem of large error and low work efficiency caused by traditional manual meter reading, which is more and more unable to meet the needs of users, this paper proposes an application model of concentrated meter reading technologies based on Internet of things based on big data technology and intelligent algorithm. This paper first introduces the development background and potential of the concentrated meter reading technologies, and then explains the basic model and application model of the concentrated meter reading technologies in detail. Finally, the technical realization of the application of concentrated meter reading technologies, such as line-loss analysis of distribution network, voltage data monitoring, electricity charge error, supplemental sampling processing and so on are introduced in detail.
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Zhu Jingkun, Yang Qimin, Qi Linhai. Intelligent Analysis Model of Voltage Monitoring data based on Multivariate data Fusion[J]. Electric power information and communication technology, 2015(09):32--37.
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Huang Mengxi, Yao Jing, Lv Shanshan. Early warning method of potential complaint risk based on abnormal electricity tariff[J]. Electronic test, 2020(05):110--112.
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Lin Weikun, Ye Ye, Ye Jinrong. Research and Application based on automatic Table search Automation Technology[J]. Power system equipment, 2019(01):183--184.
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Chen Guohua. Analysis on the Method of Improving the Success Rate of Automatic Meter Reading Based on Smart Meter[J]. Water conservancy and electric power, 2018(12):208.
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- Research on The Application of Concentrated Meter Reading Technologies Based on Power Internet of Things
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Published In
December 2020
687 pages
ISBN:9781450388665
DOI:10.1145/3452940
Copyright © 2020 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 May 2021
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ICITEE2020
ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering
December 3 - 5, 2020
Hunan, Changde City, China
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Cited By
View all- Chen Z(2024)Research on Power IoT Technology Integrating 5G Communication and Distributed ComputingApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-08529:1Online publication date: 3-May-2024
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