基于可编程控制器的智能制造系统模型研究

Tianshu Li, Chunyan Huo
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摘要

现代制造系统是一个高度分散的制造系统,由许多智能加工机械、物料输送设备、机器人和各种制造资源组成。随着互联网+的渗透、云服务的深入和工业物联网的普及,PLC (Programmable Logic Controller)应从硬件和软件两方面适应智能制造的需求。在智能制造过程中,生产是完全自动化和无人化的。一旦发生不合理的加工工艺安排,机器就可能发生碰撞,造成安全事故。制造系统建模与仿真中常用的有限状态机模型不能处理复杂和分布式问题,功能层次模型只能表示数据流,不能表示控制流,对系统的描述不够准确。本文基于PLC构建了智能制造系统数字化、网络化、智能化的系统架构运行模型,利用大数据在智能制造系统中的作用,实现了智能制造系统的状态感知、实时分析、自主决策和精准执行等功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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