Research and Implementation of Material Distribution Method Based on Intelligent Perception Network

Intelligent perception network, suitable for the interconnection and integration of material distribution information equipment in product assembly workshops, information sharing between equipment, and data interaction between equipment and servers. The areas involved include automated material distribution, integrated logistics operation management and control, digital measurement and intelligent control. This article first describes the proposed intelligent perception network and the existing material distribution methods, analyzes the realization of intelligent perception networks of different architectures, and then proposes a set of material distribution methods for the particularity of logistics distribution in the aviation workshop. The method is driven by the process flow, and conducts dynamic and refined management of the entire process of material storage, storage, transfer, and inventory, and real-time monitoring of the type, quantity, and status of materials through intelligent terminal equipment, handheld terminals and NFC communication equipment, Storage location and other specific information; secondly, with the goal of minimizing delivery time and delivery cost, according to the material requirements of each station of the production line, the convolutional neural network method is used to design the optimal material distribution plan. Finally, build a software and hardware platform and realize the operation of the convolutional neural network on embedded devices to complete the entire workshop material distribution process.