基于实时位置信息的大型离散车间制造行为研究

In the large-scale discrete manufacturing workshop, the accurate real-time location information of production factors is an important element to improve production capacity. However, there is lacking of consideration to real-time location information in the traditional manufacturing process analysis and optimization. This project will introduce the real-time location information to the manufacturing process control model of large-scale discrete workshop, study the manufacturing behavior based on the real-time location information. Real-time indoor positioning and data acquisition technologies are the support for data source. The project depends on the holographic environmental map of large-scale discrete manufacturing workshop. A study will be conducted on some focuses, such as construction and analysis of workshop location-behavior-service model, the assessment criteria and operation method of manufacturing behavior based on real-time location information, and the optimization of manufacturing behavior with a fusion of the real-time location information. It will describe and analyze the connection between the physical space and the manufacturing process qualitatively and quantitatively, and build a scientific and reasonable location-behavior-service model and a methodology of evaluation and optimization. A location service system for large-scale discrete manufacturing workshop will be developed. Research work will provide related theory and method to realize real-time accurate management for large-scale discrete workshop.

大型离散制造车间中生产要素精确的实时位置信息是提升生产能力的重要因素，而传统的制造过程分析与优化缺乏对实时位置信息的考虑，项目将实时位置信息引入到大型离散车间制造过程管控模型中，拟对基于实时位置信息的制造行为进行研究，以室内实时定位技术和数据采集技术为数据来源支撑，以大型离散制造车间全息环境地图的构建为依托，重点对车间位置-行为-服务模型的构建和分析、基于实时位置信息的制造行为评估准则和运算方法、以及融合实时位置信息的制造行为优化等关键问题展开研究，定性定量地描述分析物理空间与制造过程之间的联系，建立位置-行为-服务模型的评估和优化方法体系，开发面向大型离散车间的位置服务系统，为大型离散车间实现实时精准管理提供相关理论和方法。

大型离散制造车间中生产要素精确的实时位置信息是提升生产能力的重要因素，而传统的制造过程分析与优化缺乏对实时位置信息的考虑，项目将实时位置信息引入到大型离散车间制造过程管控模型中，研究了一种实时位置信息驱动的制造行为分析与优化方法，以车间实时定位和数据采集技术为支撑，重点开展了大型离散制造车间全息地图的构建、基于车间物理空间和逻辑空间融合的制造行为建模与分析、基于时空数据的制造行为评估与分析、以及实时数据驱动的制造行为动态优化等内容的研究，以生产进度作为制造系统的输出性能指标，定性定量地描述分析了物理空间中的各制造要素与制造系统之间的关联关系，并挖掘了实时感知与定位环境下的系统运行规律，指导制造行为的决策优化。在复杂的制造环境中，98.3%的制造要素的定位精度可以达到10cm以内；可以实现准确率为97.5%的异常行为检测；生产进度预测精度达到了97.67%，实现了精准地制造行为演化与评估分析，并触发实现了制造行为的动态决策优化。项目最终开发了面向大型离散车间制造行为管控的位置服务系统，为大型离散车间实现实时精准管理提供了一种新方法，对提升车间生产能力具有重要的指导意义。