H. Harja, Heri Setiawan, Y. Erdani, Muhammad Zulfahmi Febriansyah
{"title":"Development of Virtual Model for Cyber-Physical Screw Turbine","authors":"H. Harja, Heri Setiawan, Y. Erdani, Muhammad Zulfahmi Febriansyah","doi":"10.1109/IoTaIS56727.2022.9975960","DOIUrl":null,"url":null,"abstract":"This paper proposed a virtual model configuration to build cyber-physical system of smart screw turbine for conducting performance monitoring functions and generating self-maintenance information of each machine component. The virtual model analyzes measurement data and reference data to evaluate a performance assessment and for resulting real-time machine condition information. The proposed model was verified experimentally and implemented in web-based dashboard software which was developed by Microsoft visual studio and SQL database. Dummy data are designed and published to validate the response of proposed model. Its data are the start-finish time of operation and measurement data values. According to the experiment result, the proposed model can function properly to respond and generate information about machine condition status, the value of efficiency power, and the remaining lifetime component.","PeriodicalId":138894,"journal":{"name":"2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IoTaIS56727.2022.9975960","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposed a virtual model configuration to build cyber-physical system of smart screw turbine for conducting performance monitoring functions and generating self-maintenance information of each machine component. The virtual model analyzes measurement data and reference data to evaluate a performance assessment and for resulting real-time machine condition information. The proposed model was verified experimentally and implemented in web-based dashboard software which was developed by Microsoft visual studio and SQL database. Dummy data are designed and published to validate the response of proposed model. Its data are the start-finish time of operation and measurement data values. According to the experiment result, the proposed model can function properly to respond and generate information about machine condition status, the value of efficiency power, and the remaining lifetime component.