智慧车间复杂传播环境感知、信道重构与资源配置理论研究

智慧车间作为工业通信网络与生产实践全方位深度融合的关键场景，对支撑制造强国建设、推动经济高质量发展具有重要意义。本项目面向智慧车间电磁环境的复杂性与应用场景的多样性需求，围绕电磁传播的强随机和不可控性、信号传输的互干扰和高动态性、不同业务大差异和同类业务强相关性的三个科学挑战，拟：1）基于多样场景信道测量和三维传播环境数据，提出基于环境智能自感知的精确建模理论和方法；2）引入可重构智能表面技术，探索车间场景环境适变理论和信道快速自重构方法，提升无线传输性能；3）建立从环境感知到资源配置的自底向上的高效网络管理策略，保障车间稳定运行；4）研究基于信道探测和环境感知设备的车间半实物方案验证和性能评估平台的构建方法。本项目旨在寻求理论和方法上的新突破，并在汽车、飞机制造等场景搭建半实物平台，开展有效性验证，为实现车间复杂环境下的信道自构建、自优化、自维护，提升无线传输资源使用效率提供理论依据。

As a key scenario for the comprehensive and deep integration of industrial communication networks and production practices, smart workshops are of great significance to support the construction of a manufacturing power and promote high-quality economic development. This project is oriented to the complexity of the electromagnetic environment of the smart workshop and the diverse needs of application scenarios. It focuses on the three scientific challenges of the strong randomness and high dynamic of electromagnetic propagation, the mutual interference of the transmission channel, the big differences between different services and the strong correlation of similar services. It plans to research on four aspects. 1) Based on the data of channel measurement and three-dimensional propagation environment in various workshop scenes, propose the accurate channel modeling theory and method in workshop scenarios; 2) In order to improve wireless transmission performance, introduce the reconfigurable intelligent surface technology to study the environmental adaptation theory and rapid channel self-reconstruction method in workshop scenarios; 3) Establish a bottom-up and efficient network management strategy from environment sensing to resource allocation to ensure the stable operation of the workshop; 4) Research on the method of constructing semi-physical simulation verification and performance evaluation platform based on channel sounders and environment sensing equipment. This project aims to seek new breakthroughs in theories and methods, and build semi-physical platforms to carry out performance verification in automobile manufacturing, aircraft manufacturing and other workshops. Then it will provide theoretical basis for channel self-construction, channel self-optimization, channel self-maintenance and improving wireless transmission resource efficiency.