Material distribution path planning method for modularized intelligent logistics system based on omni-directional wheels

Abstract

The invention discloses a material distribution path planning method for a modular intelligent logistics system based on an omnidirectional wheel, which includes the following steps: S1, collecting system status, once the following two types of events are collected, immediately go to step 2, and start the system material Delivery route planning process; S2, preprocessing of material delivery data, determine the starting point, end point and material delivery flow of all material delivery, determine the order of each material delivery route planning, after the order is determined, generate a material delivery route planning sequence table, according to This is the delivery route planning for each material. After completion, go to step S3; S3. Continue to plan the delivery route for the next material according to the planning sequence table. After planning the delivery route for each material, go to step S4; S4. Check the material delivery Whether the path planning sequence table is empty, if not empty, go to step S3, and continue to plan the delivery route for the next material, if it is empty, go to step S1.

Description

technical field [0001] The invention relates to the field of material automatic conveying and sorting, in particular to a material distribution path planning method for a modularized intelligent logistics system based on omnidirectional wheels. Background technique [0002] Today's product market is highly competitive, and logistics, as the "third profit source" of enterprises, has become a new focus of market competition. As an important part of enterprise logistics, production logistics directly affects the production cost and delivery date of products, and has become a key factor for enterprises to improve their competitiveness and has attracted more and more attention. However, most of the existing material conveying and sorting systems are based on belt or chain conveying technology. Its development faces the following problems: [0003] (1) Insufficient flexibility, the conveying direction of each material conveying line is single, and different conveying directions ...

AI Technical Summary

Problems solved by technology

[0003] (1) Insufficient flexibility, the conveying direction of each material conveying line is single, and different conveying directions cannot be set according to the material type; (2) It must cooperate with manipulators to realize functions such as sorting, merging and formation;

[0004] (3) The robustness is poor, and the failure of a single delivery node will lead to the paralysis of the entire logistics delivery system; the contradiction between these problems and the development trend of modern logistics with high efficiency and flexibility is becoming increasingly acute

Classical path planning algorithms (such as Dijkstra algorithm, Floyd algorithm, A* algorithm, etc.) can realize the function of path planning, but the algorithm optimization goal is single, and the goal is to minimize the distance or minimize the distance time.

If this type of method is directly used in the logistics system, it will not only easily cause the imbalance of material delivery load of each intelligent logistics module, but also increase the risk of partial blockage of materials, and also do not consider the system deadlock caused by the conflict of material delivery paths. Reduce the overall efficiency and intelligence level of the logistics system

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