NSGA-III_LightIndustry_Simulation_Data

Light industry production lines feature dynamic condition switching, heterogeneous tasks, and interconnected devices, facing a core adaptability-security-real-time performance trade-off during intelligent upgrading. Existing single-dimensional methods lack coupled control, failing to meet coupled control, failing to meet robustness requirements in complex scenarios. A dynamic condition-driven coupled control and robustness guarantee system is proposed: multi-source perception enables real-time condition identification\/prediction; a quantitative index system with coupling function is established, and dynamic balance points are solved via an improved NSGA-\u2162 algorithm; a closed-loop architecture integrates adaptive adjustment, lightweight security protection, and real-time scheduling, with post-condition optimization via robustness feedback. Experiments on electronic assembly and food processing lines show \u226596.3% adaptability success rate, \u22648ms security response, and \u226450ms key task delay under dynamic conditions. Under extreme multi-device failures, core task interruption rate is 15%, with robustness improved by over 40% versus existing schemes. This system resolves the three-way trade-off, providing technical support for light industry production lines with significant engineering value.

轻工生产线具备工况动态切换、任务异构化、设备互联化的典型特征，在智能化升级过程中面临适配性、安全性与实时性三者间的核心权衡难题。现有单一维度方法缺乏耦合管控能力，无法满足复杂场景下的鲁棒性需求。为此，本文提出一种工况动态驱动的耦合管控与鲁棒性保障系统：通过多源感知实现工况的实时识别与预测；构建具备耦合关联特性的量化指标体系，并基于改进NSGA-Ⅱ算法求解动态平衡点；搭建融合自适应调节、轻量化安全防护与实时调度的闭环架构，并通过鲁棒性反馈实现工况后优化。在电子装配与食品加工生产线开展的实验结果表明，该系统在动态工况下的适配成功率≥96.3%，安全响应时延≤8ms，关键任务时延≤50ms。在极端多设备故障场景下，核心任务中断率仅为15%，相较于现有方案鲁棒性提升超40%。该系统有效解决了三者间的权衡难题，可为轻工生产线智能化升级提供技术支撑，具备显著的工程应用价值。