DOI：10.3969/j.issn.1672-3872.2025.17.027
基金项目：云南省教育厅科学研究基金项目“基于MCD的风光互补发电系统最大功率点追踪的仿真研究”（2023J1579）
作 者：郭俊梅 ，马新智 ，李得正（云南机电职业技术学院，云南 昆明 650203）
摘 要：【目的】解决智能制造产线中设备故障频发、模块协同效率低、资源利用率不足等多重扰动导致的调度失稳问题。【方法】提出了一种规则引擎与滚动时域优化协同的双轨动态调度机制。该方法在PLC控制层部署轻量化规则引擎，通过场景判断器实时响应毫秒级突发故障，触发预置规则集实现应急调度；在边缘计算层构建RHO模型，以15 min为周期动态优化任务序列与资源分配，重点解决温控模块闲置及工序协同问题。同时，通过建立以最小化最大批次完成时间为目标的状态空间模型，并使用OPC UA工业网络协议实现跨层数据贯通。【结果】该方法使关键工序平均等待时间压缩至0.3 min，较传统调度策略产能提升22.3%，实现温控模块近零闲置运行。【结论】该方法显著提高了生产调度的效率和稳定性，具有实时性强、轻量化的特点。本研究攻克了传统调度方法在多扰动协同中的适应性缺陷，为制造业智能化升级提供了兼具理论创新性与工程落地性的技术范式。
关键词：智能产线；动态调度；规则引擎；滚动时域优化；多扰动协同
Application Research on Dynamic Scheduling of Intelligent Production Lines under Multi-Disturbance Conditions
Author: Guo Junmei, Ma Xinzhi, Li Dezheng (Yunnan Vocational College of Mechanical and Electrical Technology, Kunming 650203, China)
Abstract: [Objective] To solve the scheduling instability problem caused by multiple-disturbances such as frequent equipment failures, low module collaboration efficiency, and insufficient resource utilization in intelligent manufacturing production lines. [Method] A dual track dynamic scheduling mechanism is proposed, which combines a rule engine with rolling time-domain optimization. This method deploys a lightweight rule engine in the PLC control layer, and responds in real-time to millisecond level sudden faults through a scene discriminator, triggering a preset rule set to achieve emergency scheduling. The RHO model is built in the edge computing layer, and the task sequence and resource allocation are dynamically optimized with a 15 min cycle, focusing on solving the problem of idle temperature control module and process collaboration. Meanwhile, by establishing a state space model with the goal of minimizing the maximum batch completion time, and using the OPC UA industrial network protocol to achieve cross layer data connectivity. [Result] This method reduces the average waiting time of key processes to 0.3 minutes, increases production capacity by 22.3% compared to traditional scheduling strategies, and achieves near zero idle operation of temperature control modules. [Conclusion] This method significantly improves the efficiency and stability of production scheduling, and has the characteristics of strong real-time performance and lightweight. This study overcomes the adaptability limitations of traditional scheduling methods in multi-disturbance collaboration, providing a technological paradigm that combines theoretical innovation and engineering implementation for the intelligent upgrading of manufacturing industry.
Keywords: intelligent production line; dynamic scheduling; rule engine; rolling horizon optimization; multi-disturbance coordination
引文信息：[1]郭俊梅，马新智，李得正.多扰动情况下智能产线动态调度的应用研究[J].南方农机，2025，56(17)：111-114+123.
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