A. Fernbach, W. Kastner, Stefan Matzler, M. Wollschlaeger
{"title":"面向自动化系统跨域垂直集成的OPC UA信息模型","authors":"A. Fernbach, W. Kastner, Stefan Matzler, M. Wollschlaeger","doi":"10.1109/ETFA.2014.7005215","DOIUrl":null,"url":null,"abstract":"Bridging the two domains of building and industrial automation systems at their management levels is a topic hardly regarded so far. Nevertheless, cross-domain integration promises significant benefits in terms of resource consumption and costs optimisation where systems of both worlds encounter each other. To this aim, this work presents an OPC UA information modelling framework providing a holistic information base for both domains. This facilitates the implementation of cross-domain management applications in the context of smart grids with the potential goals to coordinate the reuse of waste energy, to avoid peak loads and to predict energy demand.","PeriodicalId":20477,"journal":{"name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An OPC UA information model for cross-domain vertical integration in automation systems\",\"authors\":\"A. Fernbach, W. Kastner, Stefan Matzler, M. Wollschlaeger\",\"doi\":\"10.1109/ETFA.2014.7005215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bridging the two domains of building and industrial automation systems at their management levels is a topic hardly regarded so far. Nevertheless, cross-domain integration promises significant benefits in terms of resource consumption and costs optimisation where systems of both worlds encounter each other. To this aim, this work presents an OPC UA information modelling framework providing a holistic information base for both domains. This facilitates the implementation of cross-domain management applications in the context of smart grids with the potential goals to coordinate the reuse of waste energy, to avoid peak loads and to predict energy demand.\",\"PeriodicalId\":20477,\"journal\":{\"name\":\"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2014.7005215\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2014.7005215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An OPC UA information model for cross-domain vertical integration in automation systems
Bridging the two domains of building and industrial automation systems at their management levels is a topic hardly regarded so far. Nevertheless, cross-domain integration promises significant benefits in terms of resource consumption and costs optimisation where systems of both worlds encounter each other. To this aim, this work presents an OPC UA information modelling framework providing a holistic information base for both domains. This facilitates the implementation of cross-domain management applications in the context of smart grids with the potential goals to coordinate the reuse of waste energy, to avoid peak loads and to predict energy demand.