Research on Characteristics of Electricity Theft Behavior and Risk Early Warning Technology Based on Big Data Information of the Internet of Things

被引：1
|
作者：
Huang, Rongguo [1 ]
Lu, Chunguang [1 ]
Hu, Shuhong [1 ]
Tang, Di [1 ]
Pan, Boliang [2 ]
机构：
[1] State Grid Zhejiang Elect Power Co Ltd, Mkt Serv Ctr, Hangzhou, Peoples R China
[2] Zhejiang Huayun Informat Technol Co Ltd, Hangzhou, Peoples R China
来源：
2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA) | 2022年
关键词：
electricity consumption information collection system; big data; anti-stealing; structured model;
D O I：
10.1109/EEBDA53927.2022.9744829
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Based on the results of online loss calculations, we comprehensively utilize the existing massive data of power grid companies, and conduct in-depth mining of abnormal line loss rate lines or stations by using big data technologies such as Hadoop offline distributed computing and Spark memory computing to identify possible occurrences. Electricity stealing, providing electricity theft warning and data support services for power supply companies' anti-electricity theft inspections. The data collected on the spot proves the effectiveness of the structured anti-theft model, and provides an effective method for solving the problem of monitoring the behavior of electricity theft under the condition of big data.
引用
收藏
页码：123 / 127
页数：5
相关论文
共 50 条
  • [41] Research on early warning of Public opinion based on Internet of things and text emotion Analysis
    Chen, Xiang
    Chen, Chen
    Gong, Siyuan
    Liu, Shantong
    INTERNATIONAL CONFERENCE ON INTELLIGENT TRAFFIC SYSTEMS AND SMART CITY (ITSSC 2021), 2022, 12165
  • [42] College Students' Autonomous Learning Behavior Based on Big Data and Internet of Things
    Hong, Haibing
    Liu, Xing
    INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 2023, 30 (05)
  • [43] Research on, and Development of, Data Extraction and Data Cleaning Technology based on the Internet of Things
    Li, Zhaochan
    Sun, Lili
    Higgs, Russell
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 2, 2017, : 332 - 341
  • [44] Research on Enterprise Financial Risk Early Warning under the Background of Big Data
    Li, Li
    2018 4TH INTERNATIONAL CONFERENCE ON ECONOMICS, MANAGEMENT AND HUMANITIES SCIENCE (ECOMHS 2018), 2018, : 88 - 91
  • [45] Supervision and early warning of abnormal data in Internet of Things based on unsupervised attention learning
    Wu, Lili
    Ali, Majid Khan Majahar
    Tian, Ying
    COMPUTER COMMUNICATIONS, 2024, 216 : 229 - 237
  • [46] Design and Implementation of Enterprise Financial Risk Control Information Management System Based on Big Data of Internet of Things
    Ren, Daowen
    Wu, Haiyan
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [47] Research on the Structure and Practice of Internet Environment of Things Based on Big Data Analysis
    Fang, Ai-Dong
    Xie, Shi-Chun
    Cui, Lin
    Harn, Lein
    EKOLOJI, 2019, 28 (107): : 4239 - 4247
  • [48] Research on Remote Monitoring and Control of Big Data Platform Based on Internet of Things
    Zhu, Jianmiao
    Fang, Yunzhong
    Jiang, Chenghang
    Hu, Siyuan
    PROCEEDINGS OF THE 7TH ANNUAL MEETING OF RISK ANALYSIS COUNCIL OF CHINA ASSOCIATION FOR DISASTER PREVENTION, 2016, 128 : 870 - 876
  • [49] Research on the Internet of Things and the development of smart city industry based on big data
    Liu, Zhanyu
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2018, 21 (01): : 789 - 795
  • [50] Research on the Internet of Things and the development of smart city industry based on big data
    Zhanyu Liu
    Cluster Computing, 2018, 21 : 789 - 795
12345