数字孪生工艺仿真平台在智能装配线中的应用Application of a Digital Twin Process Simulation Platform on an Intelligent Assembly Line
应用场景Application Scenario
脱敏项目编号 AIET-EAC-2025-02。案例面向智能装配线改造项目，现场存在工序节拍不均、设备联动关系复杂和方案验证成本较高等问题。项目通过数字化建模和仿真验证支持工艺优化决策。Desensitized project code AIET-EAC-2025-02. The case concerns an intelligent assembly line upgrade project where the site faced uneven process takt, complex equipment interactions, and high solution-validation costs. The project used digital modeling and simulation validation to support process optimization decisions.
成果摘要Outcome Summary
平台围绕装配流程、关键设备、物流路径和异常工况建立仿真模型，并输出节拍分析、瓶颈识别和方案比选结果。脱敏材料包括模型说明、工艺参数表、仿真报告摘要、方案评审记录和阶段性验收材料。The platform built simulation models around assembly processes, key equipment, logistics routes, and abnormal operating conditions, and produced takt analysis, bottleneck identification, and solution comparison results. The desensitized materials include model descriptions, process parameter tables, simulation report summaries, solution review records, and phased acceptance materials.
应用价值Application Value
该案例使工艺优化从经验判断转向可验证的仿真推演，帮助应用单位在实施改造前评估不同方案的影响，降低现场试错成本，并为智能装配线后续持续优化提供了模型基础。The case shifted process optimization from experience-based judgment to verifiable simulation analysis, helping the application unit evaluate the effects of different solutions before implementation, reduce on-site trial-and-error costs, and provide a model foundation for continuous optimization of the intelligent assembly line.
专家评价说明Expert Evaluation
评议小组认为，该案例具备较清晰的工程问题、模型应用过程和决策支撑价值，能够体现数字孪生技术在制造系统优化中的应用意义。The review panel concluded that the case has a clear engineering problem, a documented model application process, and practical decision-support value, demonstrating the significance of digital twin technology in manufacturing system optimization.