{"title":"有组织的驾驶知识内容,以协助情况识别","authors":"L. Horváth","doi":"10.1109/INES49302.2020.9147178","DOIUrl":null,"url":null,"abstract":"Situation is one of the recent key issues in engineering mainly because smart cyber physical system (CPS) use it as direct driving context at decision on physical activities. Definition, representation, and recognition of situation and its application as driving context have become essential in smart CPS. Recognized situation is context for decision on real time executed physical activities in smart CPS environment where dozens or even hundreds of cooperating systems operate industrial or commercial product. Owing to quick development of virtual technology during the past two decades, lifecycle engineering of complete industrial product can be done using a single autonomous model system (AMS). AMS is continuously developed and applied during the integrated innovation, production, and life cycle of CPS. Therefore, development of AMS to eligible for smart CPS is actual issue. Former relevant publications by the author introduced various purposed driving content structures which purpose was to provide organized driving contexts for engineering model systems and cyber units of CPS. This paper introduces the organized driving intellectual content (ODIC) structure specifically to support situation recognition at model based engineering. Before introducing the ODIC structure, new model of the thoroughly changed engineering scenario is introduced and applied to explain the main problem solution for which the contribution is conceptualized in this paper. Situation awareness related issues are discussed. Methodological essentials of ODIC is followed by situation related structural units of the proposed ODIC. Finally, some circumstances around implementation are outlined.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Organized Driving Intellectual Content to Assist Situation Recognition\",\"authors\":\"L. Horváth\",\"doi\":\"10.1109/INES49302.2020.9147178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Situation is one of the recent key issues in engineering mainly because smart cyber physical system (CPS) use it as direct driving context at decision on physical activities. Definition, representation, and recognition of situation and its application as driving context have become essential in smart CPS. Recognized situation is context for decision on real time executed physical activities in smart CPS environment where dozens or even hundreds of cooperating systems operate industrial or commercial product. Owing to quick development of virtual technology during the past two decades, lifecycle engineering of complete industrial product can be done using a single autonomous model system (AMS). AMS is continuously developed and applied during the integrated innovation, production, and life cycle of CPS. Therefore, development of AMS to eligible for smart CPS is actual issue. Former relevant publications by the author introduced various purposed driving content structures which purpose was to provide organized driving contexts for engineering model systems and cyber units of CPS. This paper introduces the organized driving intellectual content (ODIC) structure specifically to support situation recognition at model based engineering. Before introducing the ODIC structure, new model of the thoroughly changed engineering scenario is introduced and applied to explain the main problem solution for which the contribution is conceptualized in this paper. Situation awareness related issues are discussed. Methodological essentials of ODIC is followed by situation related structural units of the proposed ODIC. Finally, some circumstances around implementation are outlined.\",\"PeriodicalId\":175830,\"journal\":{\"name\":\"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INES49302.2020.9147178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES49302.2020.9147178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Organized Driving Intellectual Content to Assist Situation Recognition
Situation is one of the recent key issues in engineering mainly because smart cyber physical system (CPS) use it as direct driving context at decision on physical activities. Definition, representation, and recognition of situation and its application as driving context have become essential in smart CPS. Recognized situation is context for decision on real time executed physical activities in smart CPS environment where dozens or even hundreds of cooperating systems operate industrial or commercial product. Owing to quick development of virtual technology during the past two decades, lifecycle engineering of complete industrial product can be done using a single autonomous model system (AMS). AMS is continuously developed and applied during the integrated innovation, production, and life cycle of CPS. Therefore, development of AMS to eligible for smart CPS is actual issue. Former relevant publications by the author introduced various purposed driving content structures which purpose was to provide organized driving contexts for engineering model systems and cyber units of CPS. This paper introduces the organized driving intellectual content (ODIC) structure specifically to support situation recognition at model based engineering. Before introducing the ODIC structure, new model of the thoroughly changed engineering scenario is introduced and applied to explain the main problem solution for which the contribution is conceptualized in this paper. Situation awareness related issues are discussed. Methodological essentials of ODIC is followed by situation related structural units of the proposed ODIC. Finally, some circumstances around implementation are outlined.