基于主从链和边缘计算的MES生产调度模型

MES Production Scheduling Model Based on Master-Slave Chain and Edge Computing

智能工厂存在大量的物联网设备,设备之间通过工业物联网实现信息和指令的实时交互。物联网设备产生的海量数据需要上传,导致中心服务器压力过大、数据处理耗时过长,且设备之间的通信存在安全隐患。提出一种基于主从链和边缘计算的制造执行系统生产调度模型。首先,设计主从链架构模型,将制造执行系统模块化并集成到边缘节点,减少数据传输和降低泄露风险;其次,设计一种基于属性基的智能合约访问控制策略,实现设备和节点之间的安全通信;最后,设计生产调度算法完成跨节点、跨车间调度任务,实现去中心化的生产调度方式。实验结果表明,所提模型与传统工业制造系统相比,保证了数据安全性,提高了响应速度。

There were a large number of Internet of Things devices in the smart factory,and the devices interacted with each other to realize real-time interaction of information and instructions through the Industrial Internet of Things.The massive data were generated by Internet of Things devices and uploaded to the servers,resulting in excessive pressure on the central server,time-consuming data processing,and security risks in communication between devices.A production scheduling model of manufacturing execution systems based on the master-slave chain and edge computing was proposed.Firstly,the design of a master-slave chain architecture model that could modularize and integrate manufacturing execution systems into edge nodes to reduce redundant data transfers,and decrease the risk of leakage.Secondly,a smart contract access control strategy based on an attribute base was designed to achieve secure communication between devices and nodes.Finally,production scheduling algorithms were designed to accomplish cross-node and cross-workshop scheduling tasks,and a decentralised production scheduling approach was implemented.Experimental results demonstrated that data security was ensured and response speed was improved,compared with that in traditional industrial manufacturing systems.