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Development of an Intelligent Forensics Device for Stealing Electricity

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Yanjiao HuangAuthors Info & Claims

ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering

Pages 238 - 242

https://doi.org/10.1145/3452940.3453493

Published: 17 May 2021 Publication History

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Abstract

in view of the lack of suitable intelligent evidence collection device at home and abroad at present, based on image recognition technology, combined with wireless technology and field measurement technology, this paper develops an intelligent forensics device for stealing electricity to realize intelligent evidence collection. The efficiency of electricity theft disposal is improved effectively.

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Pan Feng. Study on Feature Extraction and Feature Selection Technology Changsha: Nanjing University of Aeronautics and Astronautics.

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Chen Qixin, Zheng Kedi, Kang Chongqing, et al. Detection methods of abnormal electricity consumption: review and Prospect [J]. ].1 Power System Automation, 2018, 42(17):189--199.

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Hu Xin. Study on Fault Feature Selection and Extraction Technology in Rotor Condition Monitoring [D].]; and Harbin: Harbin Engineering University.

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Zhao Lei, Luan Wenpeng, Wang Qian. Precision Line Loss Analysis [J]. ] of Low Voltage Distribution Network Using AMI Data Power Grid Technology 39(11):3189--3194.

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Zhang Yihui, Ma Yanfeng, Han Pingjun. Development and J]. of Power Load Management Terminal Anti-current Stolen Device Electrical Automation Equipment, 2009, 29(11):132--135.

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Development of an Intelligent Forensics Device for Stealing Electricity
1. Security and privacy

Index terms have been assigned to the content through auto-classification.

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ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering

December 2020

687 pages

ISBN:9781450388665

DOI:10.1145/3452940

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 17 May 2021

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the science and technology project of State Grid Corporation of China

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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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A Low-Cost Intelligent Gas Sensing Device for Military Applications

Research on Intelligent Level Evaluation System of Intelligent System

From Tradition to Innovation: How Intelligent Technology Empowers Educational Evaluation

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