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MAPF+JSSP Joint Simulation Environment for Reinforcement Learning

Project description

TianGong 天工 - 柔性制造仿真调度一体化解决方案

概述

天工系统是面向智能制造领域打造的数字化协同平台,深度融合虚拟仿真技术与实际生产调度能力,为柔性制造环境提供全流程数字化解决方案。系统通过高精度仿真验证与智能调度编排的闭环协同,帮助制造企业实现从工艺设计到生产执行的全链路优化。

核心组件

1. 虚拟仿真平台

功能特性

  • 数字孪生:1:1构建工厂物理空间的虚拟映射,支持设备/产线/物流的数字建模
  • 动态工艺仿真:可视化验证复杂工艺路径,自动检测产线冲突与瓶颈
  • 多场景模拟:支持产能评估、换线模拟、异常工况推演等20+仿真场景
  • 数据驱动优化:基于历史数据与AI算法实现工艺参数自动调优

技术亮点

☁️ 云端高性能计算引擎支持大规模并行仿真
📊 实时数据看板呈现设备OEE、产能利用率等关键指标
🔧 模块化组件库支持快速搭建新产线模型

2. 智能调度系统

核心能力

  • 多目标优化:在交货期、设备负载、能耗等约束条件下实现最优排程
  • 动态响应机制:实时感知设备状态变化,自动触发调度策略调整
  • 跨系统集成:与MES/WMS/ERP等系统无缝对接,支持工单自动分解与资源分配
  • 人机协同:提供可视化排程界面与AI建议的双向交互

算法体系

🚀 混合调度引擎 = 深度学习模型 + 强化学习算法 + 规则引擎
📈 在线负反馈调度循环:持续吸收生产数据优化决策模型


典型应用场景

汽车制造

  • 多车型混线生产的节拍平衡与物流优化
  • 焊装车间机器人集群的协同调度

装备制造

  • 大型部件装配的工序动态调整
  • 关键设备预防性维护与生产计划的协同

联系我们
如需获取定制化方案演示,请联系南京大学计算机学院Dislab团队
📞 025-89682869 | 📧 njuskyrim@qq.com

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