{"title":"通过分析操作数据自动生成工厂拓扑结构","authors":"G. Gutermuth, Mario Hoernicke","doi":"10.1109/ETFA.2017.8247670","DOIUrl":null,"url":null,"abstract":"This paper introduces an algorithm to construct a plant topology from analyzing correlations in operations data and iteratively combining pieces of information to the final result. Selected domain specific rules are given in detail and applied to a feeder unit example of a continuous process plant. The final result is good in accordance with the initial example P&ID. Benefits of the method and further research fields are discussed.","PeriodicalId":6522,"journal":{"name":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"57 7","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Automatic generation of plant topologies by analysing operations data\",\"authors\":\"G. Gutermuth, Mario Hoernicke\",\"doi\":\"10.1109/ETFA.2017.8247670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces an algorithm to construct a plant topology from analyzing correlations in operations data and iteratively combining pieces of information to the final result. Selected domain specific rules are given in detail and applied to a feeder unit example of a continuous process plant. The final result is good in accordance with the initial example P&ID. Benefits of the method and further research fields are discussed.\",\"PeriodicalId\":6522,\"journal\":{\"name\":\"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)\",\"volume\":\"57 7\",\"pages\":\"1-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2017.8247670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2017.8247670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic generation of plant topologies by analysing operations data
This paper introduces an algorithm to construct a plant topology from analyzing correlations in operations data and iteratively combining pieces of information to the final result. Selected domain specific rules are given in detail and applied to a feeder unit example of a continuous process plant. The final result is good in accordance with the initial example P&ID. Benefits of the method and further research fields are discussed.