{"title":"电力系统故障报警通信调度体系结构与方法","authors":"Xiangjv Sun, Wenhao Zhan, Y. Li","doi":"10.1109/CCET55412.2022.9906350","DOIUrl":null,"url":null,"abstract":"Today, operation and maintenance security has become a key factor for the stable development of enterprises. The flexible alarm information communication scheduling structure and intelligent fault alarm method are of great significance to improve the accuracy of alarm judgment, which can greatly realize the safe production of power enterprises and effectively ensure their steady and healthy development. Therefore, this paper proposes a modular structure. The alarm information communication scheduling architecture of the system uses unsupervised machine learning algorithms to predict fault information, analyze the correlation between faults, and at the same time achieve a high degree of coordination between modules, thereby providing an efficient and stable alarm method.","PeriodicalId":329327,"journal":{"name":"2022 IEEE 5th International Conference on Computer and Communication Engineering Technology (CCET)","volume":"114 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Alarm Communication Scheduling Architecture and Method for Power System\",\"authors\":\"Xiangjv Sun, Wenhao Zhan, Y. Li\",\"doi\":\"10.1109/CCET55412.2022.9906350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, operation and maintenance security has become a key factor for the stable development of enterprises. The flexible alarm information communication scheduling structure and intelligent fault alarm method are of great significance to improve the accuracy of alarm judgment, which can greatly realize the safe production of power enterprises and effectively ensure their steady and healthy development. Therefore, this paper proposes a modular structure. The alarm information communication scheduling architecture of the system uses unsupervised machine learning algorithms to predict fault information, analyze the correlation between faults, and at the same time achieve a high degree of coordination between modules, thereby providing an efficient and stable alarm method.\",\"PeriodicalId\":329327,\"journal\":{\"name\":\"2022 IEEE 5th International Conference on Computer and Communication Engineering Technology (CCET)\",\"volume\":\"114 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 5th International Conference on Computer and Communication Engineering Technology (CCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCET55412.2022.9906350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Conference on Computer and Communication Engineering Technology (CCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCET55412.2022.9906350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault Alarm Communication Scheduling Architecture and Method for Power System
Today, operation and maintenance security has become a key factor for the stable development of enterprises. The flexible alarm information communication scheduling structure and intelligent fault alarm method are of great significance to improve the accuracy of alarm judgment, which can greatly realize the safe production of power enterprises and effectively ensure their steady and healthy development. Therefore, this paper proposes a modular structure. The alarm information communication scheduling architecture of the system uses unsupervised machine learning algorithms to predict fault information, analyze the correlation between faults, and at the same time achieve a high degree of coordination between modules, thereby providing an efficient and stable alarm method.