Research on Experimental Resource Sharing System for New Engineering Talents Training-Taking Industrial Engineering Laboratory of Wuhan University of Technology as an Example
{"title":"Research on Experimental Resource Sharing System for New Engineering Talents Training-Taking Industrial Engineering Laboratory of Wuhan University of Technology as an Example","authors":"Jun Xiao, Li Zhang, Xue Luo","doi":"10.1109/ICIM56520.2022.00015","DOIUrl":null,"url":null,"abstract":"Based on the machinery industry characteristic background of school of mechanical and electrical engineering in Wuhan University of technology, combined with the use of industrial engineering experiment resources in Wuhan University of technology and related brother colleges, this paper analyzes the current situation and problems of experiment resource sharing, and studies the utilization efficiency of industrial engineering experiment resources at home and abroad. Using expert analysis, data mining, intelligent optimization operation and other methods, the reasons for this phenomenon were analyzed. Discusses on how to use programming language to develop and build a web-based industrial engineering experiment resource sharing management system. The following whole process management from the open experimental design, process control, experimental effect, experimental resource life and other processes of industrial engineering was carried out, in order to optimize the allocation of industrial engineering experiment resources sharing, and make full use of different experimental resources. Improved utilization rate of industrial engineering experimental resources would thus be obtained, so as to further adapt to the requirements of cultivating high-quality compound new engineering talents with strong engineering practice ability, strong innovation ability and international competitiveness.","PeriodicalId":391964,"journal":{"name":"2022 8th International Conference on Information Management (ICIM)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th International Conference on Information Management (ICIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIM56520.2022.00015","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
Based on the machinery industry characteristic background of school of mechanical and electrical engineering in Wuhan University of technology, combined with the use of industrial engineering experiment resources in Wuhan University of technology and related brother colleges, this paper analyzes the current situation and problems of experiment resource sharing, and studies the utilization efficiency of industrial engineering experiment resources at home and abroad. Using expert analysis, data mining, intelligent optimization operation and other methods, the reasons for this phenomenon were analyzed. Discusses on how to use programming language to develop and build a web-based industrial engineering experiment resource sharing management system. The following whole process management from the open experimental design, process control, experimental effect, experimental resource life and other processes of industrial engineering was carried out, in order to optimize the allocation of industrial engineering experiment resources sharing, and make full use of different experimental resources. Improved utilization rate of industrial engineering experimental resources would thus be obtained, so as to further adapt to the requirements of cultivating high-quality compound new engineering talents with strong engineering practice ability, strong innovation ability and international competitiveness.