{"title":"IEC 61499动态重配置的自动依赖解析","authors":"Laurin Prenzel, S. Steinhorst","doi":"10.1109/ETFA45728.2021.9613156","DOIUrl":null,"url":null,"abstract":"Dynamic reconfiguration and adaptability are crucial features in the evolution from automation to autonomy of industrial control systems. Component-based systems, such as specified in the IEC 61499, already provide a compelling framework for the distribution and transformation of software components, yet most reconfiguration approaches rely on a manual implementation of the required reconfiguration setup. We propose an automatic mechanism to generate the needed reconfiguration operations and order them into reconfiguration sequences, while preserving the dependencies of each operation. We further identify four scenarios for dynamic reconfiguration with different requirements regarding the treatment of state and showcase the results of our methodology on each scenario.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Automated Dependency Resolution for Dynamic Reconfiguration of IEC 61499\",\"authors\":\"Laurin Prenzel, S. Steinhorst\",\"doi\":\"10.1109/ETFA45728.2021.9613156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic reconfiguration and adaptability are crucial features in the evolution from automation to autonomy of industrial control systems. Component-based systems, such as specified in the IEC 61499, already provide a compelling framework for the distribution and transformation of software components, yet most reconfiguration approaches rely on a manual implementation of the required reconfiguration setup. We propose an automatic mechanism to generate the needed reconfiguration operations and order them into reconfiguration sequences, while preserving the dependencies of each operation. We further identify four scenarios for dynamic reconfiguration with different requirements regarding the treatment of state and showcase the results of our methodology on each scenario.\",\"PeriodicalId\":312498,\"journal\":{\"name\":\"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA45728.2021.9613156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA45728.2021.9613156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated Dependency Resolution for Dynamic Reconfiguration of IEC 61499
Dynamic reconfiguration and adaptability are crucial features in the evolution from automation to autonomy of industrial control systems. Component-based systems, such as specified in the IEC 61499, already provide a compelling framework for the distribution and transformation of software components, yet most reconfiguration approaches rely on a manual implementation of the required reconfiguration setup. We propose an automatic mechanism to generate the needed reconfiguration operations and order them into reconfiguration sequences, while preserving the dependencies of each operation. We further identify four scenarios for dynamic reconfiguration with different requirements regarding the treatment of state and showcase the results of our methodology on each scenario.