{"title":"基于可编程控制器的智能制造系统模型研究","authors":"Tianshu Li, Chunyan Huo","doi":"10.1109/ICISCAE52414.2021.9590769","DOIUrl":null,"url":null,"abstract":"Modern manufacturing system is a highly decentralized manufacturing system, which consists of many intelligent processing machines, material transportation equipment, robots and various manufacturing resources. With the penetration of internet plus, the deepening of cloud services and the popularization of industrial Internet of Things, PLC (Programmable Logic Controller) should adapt to the demand of intelligent manufacturing from hardware and software. In the intelligent manufacturing process, the production is fully automated and unmanned. Once unreasonable processing technology arrangement occurs, the machine may collide and cause safety accidents. The finite state machine model commonly used in modeling and simulation of manufacturing systems can't deal with complexity and distributed problems, and the functional hierarchy model can only represent data flow, but can't represent control flow, and the description of the system is not accurate enough. In this paper, the digital, networked and intelligent system architecture operation model of intelligent manufacturing system is constructed based on PLC, and the functions of state perception, real-time analysis, independent decision-making and precise execution of intelligent manufacturing system are realized by using the role of big data in intelligent manufacturing system.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Intelligent Manufacturing System Model Based on Programmable Logic Controller\",\"authors\":\"Tianshu Li, Chunyan Huo\",\"doi\":\"10.1109/ICISCAE52414.2021.9590769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern manufacturing system is a highly decentralized manufacturing system, which consists of many intelligent processing machines, material transportation equipment, robots and various manufacturing resources. With the penetration of internet plus, the deepening of cloud services and the popularization of industrial Internet of Things, PLC (Programmable Logic Controller) should adapt to the demand of intelligent manufacturing from hardware and software. In the intelligent manufacturing process, the production is fully automated and unmanned. Once unreasonable processing technology arrangement occurs, the machine may collide and cause safety accidents. The finite state machine model commonly used in modeling and simulation of manufacturing systems can't deal with complexity and distributed problems, and the functional hierarchy model can only represent data flow, but can't represent control flow, and the description of the system is not accurate enough. In this paper, the digital, networked and intelligent system architecture operation model of intelligent manufacturing system is constructed based on PLC, and the functions of state perception, real-time analysis, independent decision-making and precise execution of intelligent manufacturing system are realized by using the role of big data in intelligent manufacturing system.\",\"PeriodicalId\":121049,\"journal\":{\"name\":\"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCAE52414.2021.9590769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCAE52414.2021.9590769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Intelligent Manufacturing System Model Based on Programmable Logic Controller
Modern manufacturing system is a highly decentralized manufacturing system, which consists of many intelligent processing machines, material transportation equipment, robots and various manufacturing resources. With the penetration of internet plus, the deepening of cloud services and the popularization of industrial Internet of Things, PLC (Programmable Logic Controller) should adapt to the demand of intelligent manufacturing from hardware and software. In the intelligent manufacturing process, the production is fully automated and unmanned. Once unreasonable processing technology arrangement occurs, the machine may collide and cause safety accidents. The finite state machine model commonly used in modeling and simulation of manufacturing systems can't deal with complexity and distributed problems, and the functional hierarchy model can only represent data flow, but can't represent control flow, and the description of the system is not accurate enough. In this paper, the digital, networked and intelligent system architecture operation model of intelligent manufacturing system is constructed based on PLC, and the functions of state perception, real-time analysis, independent decision-making and precise execution of intelligent manufacturing system are realized by using the role of big data in intelligent manufacturing system.