{"title":"A Design Support Method for Automation System Configuration Using Model-Based Simulation","authors":"Hiromi Igawa, Yoshiyuki Tajima, Hidenori Yamamoto, Shuichiro Sakikawa","doi":"10.1109/ISADS.2017.34","DOIUrl":null,"url":null,"abstract":"There is an increasing demand to reduce cost and shorten the development period. Though an automation system consists of sub-systems, each sub-system is large. Therefore, the development of such a system is complex. In addition, an automation system, in which there are a wide variety of object requests, may not achieve the processing performance of the target depending on the combination and arrangement method of the sub-systems. Thus, it is important to design appropriate configuration. We propose a design support method using modelbased simulation. This method predicts total system performance by extracting the constraints arising from the system configuration and patterning the various input data. We appliedthis method to the design of configurations of embedded system composed of multiple processing sub-systems. In the result, the most reasonable configuration was designed from two patterns of system configuration.","PeriodicalId":303882,"journal":{"name":"2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISADS.2017.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
There is an increasing demand to reduce cost and shorten the development period. Though an automation system consists of sub-systems, each sub-system is large. Therefore, the development of such a system is complex. In addition, an automation system, in which there are a wide variety of object requests, may not achieve the processing performance of the target depending on the combination and arrangement method of the sub-systems. Thus, it is important to design appropriate configuration. We propose a design support method using modelbased simulation. This method predicts total system performance by extracting the constraints arising from the system configuration and patterning the various input data. We appliedthis method to the design of configurations of embedded system composed of multiple processing sub-systems. In the result, the most reasonable configuration was designed from two patterns of system configuration.