Yu Bao, Zhao-Hui Sun, Xiaoqiang Liao, Yuan Chang, S. Qiu, X. Ming
{"title":"An industrial equipment maintenance support system for networked collaborative evolution in the smart product service ecosystem","authors":"Yu Bao, Zhao-Hui Sun, Xiaoqiang Liao, Yuan Chang, S. Qiu, X. Ming","doi":"10.1109/DTPI55838.2022.9998954","DOIUrl":null,"url":null,"abstract":"The traditional model of industrial equipment operation and maintenance has changed with the development of industrial internet technologies such as edge computing, cloud-edge collaboration, big data, artificial intelligence, digital twins, etc. Meanwhile, researchers are beginning to focus on the range of influence of equipment asset reliability, which is shifting from local performance to organizational goals. The networked collaborative evolution of equipment assets and value chain management is becoming the core value proposition of industrial internet platforms. From the perspective of system architecture, this paper discusses a novel industrial equipment maintenance support system based on the industrial internet platform, detailing the design of the resource and edge layer, cloud platform layer, big data governance and service layer, modeling and simulation layer, information model and collaboration layer, and organization, business, and service layer. The proposed system architecture and solution are expected to provide possible guidance for group-type enterprises and cross-industry service providers to help them innovate equipment asset management solutions based on the industrial internet platform.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"123 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTPI55838.2022.9998954","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
The traditional model of industrial equipment operation and maintenance has changed with the development of industrial internet technologies such as edge computing, cloud-edge collaboration, big data, artificial intelligence, digital twins, etc. Meanwhile, researchers are beginning to focus on the range of influence of equipment asset reliability, which is shifting from local performance to organizational goals. The networked collaborative evolution of equipment assets and value chain management is becoming the core value proposition of industrial internet platforms. From the perspective of system architecture, this paper discusses a novel industrial equipment maintenance support system based on the industrial internet platform, detailing the design of the resource and edge layer, cloud platform layer, big data governance and service layer, modeling and simulation layer, information model and collaboration layer, and organization, business, and service layer. The proposed system architecture and solution are expected to provide possible guidance for group-type enterprises and cross-industry service providers to help them innovate equipment asset management solutions based on the industrial internet platform.