As an important direction of Industry 4.0, cyberphysical machine tool systems (CPMTS) can realize the deep integration and real-time interaction of physical components and information to optimize manufacturing processes. Wireless sensor network (WSN), an important part of CPMTS, is responsible for data collection and transmission. However, in the process of data transmission, due to memory limitations and noise interference, unreasonable sensor distribution will affect the performance of CPMTS. At the same time, data accuracy will be affected due to the resource constraints of CPMTS. To solve the problems above, this paper firstly presented a single-station transfer model to ensure the layout of sensors in each sink, which can meet the detection capability of fault/monitoring data. Then, by using fuzzy graphs, a multihop-station transfer model and data-collecting model are developed to describe the data flow and memory allocation in the wireless network. Taking noise interference and data position into consideration, a MILP problem is formulated and the optimization solution is obtained by using the “branch and bound” method. Finally, case studies about optimal sensor distribution on the single station and path optimization on the multihop station are presented to illustrate the proposed strategy. The case studies validated that the proposed sensor distribution in a single station can achieve higher detectability with fewer resources, and the optimization path strategy can achieve the best performance in two proposed experiments, compared to the shortest path and noninferior path strategies.

中文翻译：

---

基于内存缓冲区优化分配的电子物理机床系统无线传感器网络部署

作为工业4.0的重要方向，网络物理机床系统（CPMTS）可以实现物理组件和信息的深度集成以及实时交互，以优化制造流程。无线传感器网络（WSN）是CPMTS的重要组成部分，负责数据收集和传输。但是，在数据传输过程中，由于内存限制和噪声干扰，不合理的传感器分配会影响CPMTS的性能。同时，由于CPMTS的资源限制，数据准确性也会受到影响。为解决上述问题，本文首先提出了一种单站传输模型，以确保每个接收器中传感器的布局，能够满足故障/监视数据的检测能力。然后，通过使用模糊图，开发了一种多跳站传输模型和数据收集模型来描述无线网络中的数据流和内存分配。考虑到噪声干扰和数据位置，提出了MILP问题，并使用“分支定界”方法获得了最佳解决方案。最后，通过对单站最优传感器分布和多跳站路径优化的案例研究，来说明所提出的策略。案例研究证实，与最短路径和非劣等路径策略相比，所提出的传感器在单个站点中的分布可以用更少的资源实现更高的可检测性，并且优化路径策略可以在两个建议的实验中实现最佳性能。