Scheduling control method and system of AGV (Automatic Guided Vehicle) system

By introducing the ad hoc network and main dispatch vehicle mechanism into the AGV car system, the difficulties in deployment and communication of the AGV car system are solved, efficient and accurate material delivery is achieved, and operating costs and maintenance difficulties are reduced.

CN119759005AActive Publication Date: 2025-04-04DONGTU TECH (YICHANG) CO LTD
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Patent Information

Application Number
CN202411872597.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-04-04
Estimated Expiration
2044-12-18

AI Technical Summary

Technical Problem

The existing AGV trolley systems have difficulties in deployment and communication, resulting in mismatch between production capacity and supply capacity, and are prone to data loss and untimely response in complex production environments.

Method used

By combining several AGV cars with self-organized networking and one of them is configured as the main dispatching vehicle, centralized task scheduling, optimized resource allocation, intelligent path planning and real-time communication collaboration are realized.

Benefits of technology

It significantly improves the efficiency and accuracy of material transportation, reduces operating costs and maintenance difficulties, and provides support for the development of industrial automation and intelligence.

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Abstract

The invention provides a scheduling control method and system of an AGV system, the AGV system comprises a plurality of AGVs of an ad hoc network, at least one AGV is configured as a main scheduling vehicle, the plurality of AGVs are in communication connection with a far-end production system, and the AGVs are in communication connection with the main scheduling vehicle. The method comprises the steps that when any AGV receives a material conveying task issued by a production system, the material conveying task is forwarded to a main dispatching vehicle; the main dispatching vehicle selects at least one AGV matched with the material conveying task according to the idle degree and the real-time position of each AGV, generates an optimal conveying path according to a path planning algorithm and sends the optimal conveying path to the matched AGV; and the matched AGV executes the material conveying task according to the optimal conveying path, and shares the obstacle condition along the road and the task state to other AGVs. By optimizing the deployment mode of the AGV trolley, trolley scheduling, path planning and task execution are achieved, and the material conveying efficiency is improved.
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