基于Plant Simulation的智能制造测试床仿真模型 设计与应用

为了验证智能制造测试床的整体布局设计和制造工艺在生产运营环境下的合理性，利用西门子Plant Simulation工厂仿真软件进行生产节拍和设备利用率分析。首先，建立了按订单生产运行的制造生产线二维仿真模型，根据生产要求对二维仿真模型进行输入参数设定，并根据二维仿真模型运行后得到的分析统计结果进行工艺布局、物流布局和制造策略的优化。然后，在二维仿真模型基础上，为了让仿真模型在建设阶段和运营阶段具有更直观的展示效果，基于原三维设计图，在三维仿真模型中替换或导入各对象的三维模型，并运用Simltalk语言编写精细的三维位置坐标和动作路径动画程序，对仿真模型进行三维效果优化。结果表明优化后的智能制造测试床三维仿真模型可以实现与实际生产一致的业务运行模式，它具有更形象、逼真的动态运行展示效果。仿真结果可指导智能制造测试床的建设与优化，且在测试床投入运营后，仿真模型还能够接受运营数据以对测试床进行持续迭代的优化。提出的仿真模型设计方法为实现智能制造测试床的“数字孪生”奠定了基础。

Simulation model design and application of smart manufacturing test bed based on Plant Simulation

In order to verify the rationality of overall layout design and manufacturing process of the smart manufacturing test bed under the operating environment, the production cycle time and OEE (over all equipment efficiency) were simulated through the Siemens Plant Simulation plant software. Firstly, one make-to-order manufacturing line 2D simulation model was established and the input parameters of the 2D simulation model were set up according to production requirements. The process layout, logistics layout and manufacturing strategy were also optimized according to the statistical results obtained from the 2D simulation model. Based on the 2D simulation model, the corresponding 3D model was built and the 3D model of each object was replaced or imported in the 3D simulation model based on the original 3D design map， and the precise 3D position coordinates and action paths were coded with Simtalk language to make the model more impressive and dynamic in the construction stage and operation stage. The results showed that the optimized 3D simulation model of smart manufacturing test bed could realize the business operation mode consistent with the actual production, which had more vivid and realistic dynamic running display effect. The simulation results have guidance for the construction and optimization of the smart manufacturing test bed, and the simulation model can also accept the operational data to optimize the continuous iteration of the test bed during the operation stage. The proposed simulation model design method can lay the foundation for the realization of the digital twins of the smart manufacturing test bed.