Jian-Fang Xue Jian-Fang Xue, Qing-Chuan Liu Jian-Fang Xue, Xiao-Yang Zhang Qing-Chuan Liu, Rui Fan Xiao-Yang Zhang, Wei-Min Liu Rui Fan
{"title":"Research on Real Time Data Monitoring Method for Intelligent Factory Equipment Based on Ethernet Communication","authors":"Jian-Fang Xue Jian-Fang Xue, Qing-Chuan Liu Jian-Fang Xue, Xiao-Yang Zhang Qing-Chuan Liu, Rui Fan Xiao-Yang Zhang, Wei-Min Liu Rui Fan","doi":"10.53106/199115992024023501018","DOIUrl":null,"url":null,"abstract":"\n This article focuses on the production and processing of sleeve parts, using Ethernet as a data transmission medium to complete data collection and monitoring of typical intelligent factory processing workshops. Firstly, the layout design of the intelligent factory equipment layer, communication layer, and system application layer was completed. Then, unified management of standard and non-standard protocols was implemented for communication between different devices. Then, based on the sensors and sensor data used in each production process, a data collection scheme was designed, and finally, the data collection system was designed, Real time monitoring of data between various devices in the system can guide enterprise production.\n \n","PeriodicalId":345067,"journal":{"name":"電腦學刊","volume":"985 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"電腦學刊","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53106/199115992024023501018","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 article focuses on the production and processing of sleeve parts, using Ethernet as a data transmission medium to complete data collection and monitoring of typical intelligent factory processing workshops. Firstly, the layout design of the intelligent factory equipment layer, communication layer, and system application layer was completed. Then, unified management of standard and non-standard protocols was implemented for communication between different devices. Then, based on the sensors and sensor data used in each production process, a data collection scheme was designed, and finally, the data collection system was designed, Real time monitoring of data between various devices in the system can guide enterprise production.