{"title":"过程工业报警管理系统的研究与应用","authors":"Xuejun Zong, Mingming Zhang, Kan He","doi":"10.1109/CHICC.2016.7553768","DOIUrl":null,"url":null,"abstract":"In this paper, starting from the present problems of the alarm system, designed an alarm management system based on standard EEMUA by using matter element analysis is combined with fuzzy clustering method to deal with alarm data. In combination with the actual industrial field data, this method has been used to rationalize the alarm, the alarm rate is significantly reduced, and the real-time and effectiveness of this method is proved.","PeriodicalId":246506,"journal":{"name":"Cybersecurity and Cyberforensics Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research and application of process industry alarm management system\",\"authors\":\"Xuejun Zong, Mingming Zhang, Kan He\",\"doi\":\"10.1109/CHICC.2016.7553768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, starting from the present problems of the alarm system, designed an alarm management system based on standard EEMUA by using matter element analysis is combined with fuzzy clustering method to deal with alarm data. In combination with the actual industrial field data, this method has been used to rationalize the alarm, the alarm rate is significantly reduced, and the real-time and effectiveness of this method is proved.\",\"PeriodicalId\":246506,\"journal\":{\"name\":\"Cybersecurity and Cyberforensics Conference\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cybersecurity and Cyberforensics Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CHICC.2016.7553768\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cybersecurity and Cyberforensics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CHICC.2016.7553768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and application of process industry alarm management system
In this paper, starting from the present problems of the alarm system, designed an alarm management system based on standard EEMUA by using matter element analysis is combined with fuzzy clustering method to deal with alarm data. In combination with the actual industrial field data, this method has been used to rationalize the alarm, the alarm rate is significantly reduced, and the real-time and effectiveness of this method is proved.
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