Deep learning intelligent logistics distribution planning system based on prediction and perception

Abstract

The present invention relates to a deep learning intelligent logistics distribution planning system based on prediction and perception, belonging to the technical field of logistics. A perception point unit and a region segmentation unit are cooperated to each other, a region is segmented through a perception point, a scanning search path unit and the region segmentation unit are cooperated to each other, the scanning search path unit searches a local optimal path, the scanning search path unit and a single optimal path unit are connected with an ant colony algorithm, and the single optimal path unit is configured to obtain a plurality of single optimal paths. The deep learning intelligent logistics distribution planning system continuously optimize the planning paths to improve the optimal path planning efficiency while ensuring the optimal path planning accuracy and achieve intelligent logistics distribution in the real sense.

Description

technical field [0001] The invention relates to a deep learning intelligent logistics distribution planning system based on predictive perception. Background technique [0002] With the development of Internet technology and the rapid development of my country's logistics and distribution industry, it is the general trend to apply Internet technology to the logistics and distribution industry to realize intelligent logistics and distribution solutions. [0003] For now, the existing logistics and distribution industry has not achieved a globally optimal path planning vision in the actual distribution path planning. There are mainly the following problems: [0004] The regional route planning is unreasonable; the logistics distribution can only be realized according to the established planned route, and the optimal route planning under the actual situation cannot be responded to in a timely manner. There is a certain point in the distribution process that needs to be sent. ...

AI Technical Summary

Problems solved by technology

[0004] The regional route planning is unreasonable; the logistics distribution can only be realized according to the established planning route, and the optimal route planning under the actual situation cannot be responded to in a timely manner. There is a point in the distribution process that needs to be sent. The real-time response and re-planning of the route has not been achieved in the logistics distribution;

[0005] In addition, in the existing logistics distribution, there is no specific effective method for the placement of items, and most of them rely on the experience of the delivery staff for packing, which will limit the efficiency of delivery to a certain extent;

[0006] At the same time, the combination of Internet + logistics distribution, from the background of the development of my country's logistics distribution industry, has a relatively short development time, and the data accumulated in the development has not been well excavated and re-applied. Big data has just Accumulation does not play the value of big data itself

Images