Rogério Adas Pereira Vitalli, João Manoel Losada Moreira
{"title":"安格拉1号核电站管壁厚度测量的数字孪生模型与工业4.0技术","authors":"Rogério Adas Pereira Vitalli, João Manoel Losada Moreira","doi":"10.51219/jaimld/rogerio-adas-pereira-vitalli/08","DOIUrl":null,"url":null,"abstract":"organization. The robotic system is developed using “Digital Twin” technology, a very realistic virtual modeling scheme that allows interaction with the real world environment. They include equipment and all the steps to carry out the inspection process. The tube wall thickness monitoring system will be used at the Angra 1 nuclear power plant (Brazil).","PeriodicalId":487259,"journal":{"name":"Journal of Artificial Intelligence Machine Learning and Data Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mathematical Modeling of Digital Twins and Industry 4.0 Technologies for Measuring Pipe Wall Thickness at Angra 1 Nuclear Power Plant\",\"authors\":\"Rogério Adas Pereira Vitalli, João Manoel Losada Moreira\",\"doi\":\"10.51219/jaimld/rogerio-adas-pereira-vitalli/08\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"organization. The robotic system is developed using “Digital Twin” technology, a very realistic virtual modeling scheme that allows interaction with the real world environment. They include equipment and all the steps to carry out the inspection process. The tube wall thickness monitoring system will be used at the Angra 1 nuclear power plant (Brazil).\",\"PeriodicalId\":487259,\"journal\":{\"name\":\"Journal of Artificial Intelligence Machine Learning and Data Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Artificial Intelligence Machine Learning and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51219/jaimld/rogerio-adas-pereira-vitalli/08\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Artificial Intelligence Machine Learning and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51219/jaimld/rogerio-adas-pereira-vitalli/08","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mathematical Modeling of Digital Twins and Industry 4.0 Technologies for Measuring Pipe Wall Thickness at Angra 1 Nuclear Power Plant
organization. The robotic system is developed using “Digital Twin” technology, a very realistic virtual modeling scheme that allows interaction with the real world environment. They include equipment and all the steps to carry out the inspection process. The tube wall thickness monitoring system will be used at the Angra 1 nuclear power plant (Brazil).