{"title":"基于大数据的隐患风险感知技术研究","authors":"Fei Xia, Hu Song, Ming Tang, Lijun Wang, Jing Wan","doi":"10.1145/3448734.3450879","DOIUrl":null,"url":null,"abstract":"According to the characteristics of information and communication technology in the electric power industry, in view of the main problems that currently exist, the information is realized by studying the key technologies of information and communication operation fault monitoring and risk early warning, comprehensively using big data association analysis technology, data mining technology and state assessment technology Comprehensive perception of communication risk situation, comprehensive analysis of operation and maintenance data, and real-time warning of operation and maintenance risks, thereby enhancing information communication failure monitoring and risk warning capabilities, and ensuring the reliability of power information communication systems.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Hidden Danger Risk Perception Technology Based on Big Data\",\"authors\":\"Fei Xia, Hu Song, Ming Tang, Lijun Wang, Jing Wan\",\"doi\":\"10.1145/3448734.3450879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the characteristics of information and communication technology in the electric power industry, in view of the main problems that currently exist, the information is realized by studying the key technologies of information and communication operation fault monitoring and risk early warning, comprehensively using big data association analysis technology, data mining technology and state assessment technology Comprehensive perception of communication risk situation, comprehensive analysis of operation and maintenance data, and real-time warning of operation and maintenance risks, thereby enhancing information communication failure monitoring and risk warning capabilities, and ensuring the reliability of power information communication systems.\",\"PeriodicalId\":105999,\"journal\":{\"name\":\"The 2nd International Conference on Computing and Data Science\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd International Conference on Computing and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3448734.3450879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Computing and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3448734.3450879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Hidden Danger Risk Perception Technology Based on Big Data
According to the characteristics of information and communication technology in the electric power industry, in view of the main problems that currently exist, the information is realized by studying the key technologies of information and communication operation fault monitoring and risk early warning, comprehensively using big data association analysis technology, data mining technology and state assessment technology Comprehensive perception of communication risk situation, comprehensive analysis of operation and maintenance data, and real-time warning of operation and maintenance risks, thereby enhancing information communication failure monitoring and risk warning capabilities, and ensuring the reliability of power information communication systems.
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