基于边缘计算的模具设备数字化管理系统设计

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中图分类号：TP542 文献标志码：A

Design of a digital management system for mold equipment based on edge computing

LU Guodong，LI Jing，WANG Feng，WU Wenwen，SONG Binghua

（Shandong Network Security Technology Co. Ltd.，Ji'nan 25O101， Shandong，China; Automation Research Institute of Shandong Academy of Sciences，Ji'nan 25oo14，Shandong，China）

Abstract：This paper addresses the issues of data silos， slow response，and high maintenance costs in mold production equipment，and designs a digital management system based on edge computing. The system adopts the BECMES architecture model for overall design，which includes the physical device layer，edge computing layer，blockchain layer，and application layer. The integration of blockchain and edge computing layers optimizes the traditional manufacturing execution system （MES）. By establishing data processing and decision support mechanisms， the system enables intelligent task allocation between edge devices and edge servers. A genetic algorithm is used to optimize task allcation and scheduling，and tasks are offloaded to execution endpoints via the network，while monitoring execution time and energy consumption to reduce overall system overhead. The system integrates production planning，execution management， and assembly management to comprehensively enhance the management eficiency of mold production. Test results show that the system achieves an average response delay of 0.75s ，a data transmission time of 0.73s ， and a data transmission volume of 0.52Mb ，demonstrating superior performance. After the system implementation， the total workforce was reduced by 20% ，mold rework rate decreased by 60% ，and the product quality qualification rate reached 98% . This system helps optimize production processes， improve equipment utilization， reduce maintenance costs， and promotes the digital transformation and upgrading of the mold manufacturing industry.

Key words： mold production； edge computing； digital management system； BECMESarchitecture；genetic algorithm

0 引言

随着工业4.0时代的到来，全球制造业正朝向智能化方向加速转型，制造业正经历着前所未有的变革[]。（剩余11449字）