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The main content of material management in electric power enterprises is to allocate and optimize storage materials. For warehousing goods, ensuring the storage location of goods can make the highest space utilization, the lowest energy consumption, and the lowest cost, which is of great significance to the study of goods location-allocation. Through the research on the state of the automated warehouse, storage location assignment and optimization, and the optimization of in-out warehouses, this paper establishes the optimization model of storage location assignment and the method of dimension reduction. Through the discretization of dimension step and displacement, the algorithm is suitable for discrete problems. Through reverse mutation, dimension exchange, and other operations, the initial state is optimized. The algorithm of storage location assignment is formed, so that the algorithm can get better results in the locationallocation problem. Adjusting and improving the algorithm will make it more effective in the problem of location assignment. It can solve a series of problems existing in the storage system, which is to achieve the requirements of a better location, higher efficiency and faster response, and also improve the picking efficiency.

Multi-object tracking (MOT) is to track multiple objects simultaneously in a video. The main application scenarios of MOT are security monitoring and automatic driving, etc. In these scenarios, we often need to track and identify many targets at the same time. In this work, we have presented a multi-camera person tracking and re-identification system based on edge computing which comprises of communication solution, a FairMOT based tracking system and a MoT based re-identification system. We apply our system in real scene online, the results show that our system is efficient for multi-camera person tracking and re-identification tasks and can run with frame rate at real-time.