{"title":"工业4.0背景下工业无线通信系统的共存","authors":"D. Schulze, L. Rauchhaupt, U. Jumar","doi":"10.1109/ANZCC.2017.8298492","DOIUrl":null,"url":null,"abstract":"Several wireless communication systems operating in parallel are typical for industrial applications. These systems have to be coexistent to ensure, that every application communication requirement is fulfilled. Ensuring this coexistence is called coexistence management. We want to develop an automated coexistence management with control engineering considerations, which is not considered in current approaches yet. In this contribution we investigate the nominal (interference-free) plant model with several wireless communication systems. We use timed Petri-net approaches in max-plus algebra for modelling the time behaviour of message transmissions. We parametrize this model with real measurements in a 2.4 GHz frequency spectrum within a WiFi test environment according to a predefined test case scenario.","PeriodicalId":429208,"journal":{"name":"2017 Australian and New Zealand Control Conference (ANZCC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Coexistence for industrial wireless communication systems in the context of industrie 4.0\",\"authors\":\"D. Schulze, L. Rauchhaupt, U. Jumar\",\"doi\":\"10.1109/ANZCC.2017.8298492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several wireless communication systems operating in parallel are typical for industrial applications. These systems have to be coexistent to ensure, that every application communication requirement is fulfilled. Ensuring this coexistence is called coexistence management. We want to develop an automated coexistence management with control engineering considerations, which is not considered in current approaches yet. In this contribution we investigate the nominal (interference-free) plant model with several wireless communication systems. We use timed Petri-net approaches in max-plus algebra for modelling the time behaviour of message transmissions. We parametrize this model with real measurements in a 2.4 GHz frequency spectrum within a WiFi test environment according to a predefined test case scenario.\",\"PeriodicalId\":429208,\"journal\":{\"name\":\"2017 Australian and New Zealand Control Conference (ANZCC)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Australian and New Zealand Control Conference (ANZCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZCC.2017.8298492\",\"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 Australian and New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC.2017.8298492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coexistence for industrial wireless communication systems in the context of industrie 4.0
Several wireless communication systems operating in parallel are typical for industrial applications. These systems have to be coexistent to ensure, that every application communication requirement is fulfilled. Ensuring this coexistence is called coexistence management. We want to develop an automated coexistence management with control engineering considerations, which is not considered in current approaches yet. In this contribution we investigate the nominal (interference-free) plant model with several wireless communication systems. We use timed Petri-net approaches in max-plus algebra for modelling the time behaviour of message transmissions. We parametrize this model with real measurements in a 2.4 GHz frequency spectrum within a WiFi test environment according to a predefined test case scenario.