Intelligent scheduling system based on multi-station AGV and scheduling method thereof

An intelligent scheduling, multi-station technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as the inability of the AGV system to guarantee, and achieve the effect of reducing the empty running rate, improving the loading and unloading efficiency, and improving the utilization rate.

Pending Publication Date: 2019-12-20
四叶草(苏州)智能科技有限公司
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Problems solved by technology

The multi-AGV system cannot guarantee to improve the working efficiency of AGV under the limited time and route

Method used

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  • Intelligent scheduling system based on multi-station AGV and scheduling method thereof
  • Intelligent scheduling system based on multi-station AGV and scheduling method thereof

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Embodiment Construction

[0015] The technical solutions protected by the present invention will be specifically described below in conjunction with the accompanying drawings.

[0016] Please refer to Figure 1 to Figure 2 . The present invention proposes an intelligent scheduling system based on a multi-station AGV, which mainly includes a task center, a task scheduling module, a cargo location information module, and a trolley information module; wherein, the task center releases tasks to be completed; the task scheduling The module assigns the task to be completed to the optimal car, and plans the driving path of the car; the cargo space information module records the position information of each cargo space, the cargo information of each cargo space, and the information of the cars within a certain range of each cargo space. Quantity; the trolley information module records the real-time position information of each trolley and the loading data of each trolley.

[0017] In this embodiment, the AGV...

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Abstract

The invention provides an intelligent scheduling system based on a multi-station AGV and a scheduling method thereof. The intelligent scheduling system comprises a task center, a task scheduling module, a goods allocation information module and a trolley information module, wherein the task scheduling module schedules an optimal trolley according to a goods taking point and a goods placing point of a task, position information and goods carrying information of each trolley and crowding degree information of a goods port of each goods allocation, and associates different tasks, so that the empty running rate of the trolley without goods is reduced; meanwhile, the task scheduling module can give an optimal advancing path according to the information, the transportation time is shortened, crowding of a goods taking and placing opening can be avoided, and the loading and unloading efficiency of goods is improved; and, in addition, the trolley comprises a plurality of stations, a pluralityof tasks can be executed at the same time, and the utilization rate of goods allocation of the trolley is increased.

Description

technical field [0001] The invention relates to the technical field of intelligent warehousing, in particular to an intelligent scheduling system based on a multi-station AGV and a scheduling method thereof. Background technique [0002] Unmanned storage AGV (Automate Guided Vehicle, referred to as AGV) system, under normal circumstances, AGV calculates a route based on the specified task, and performs a single task of picking and releasing goods at the designated location. The current task of the AGV is not related to the follow-up task. Just go on missions in a single dimension. The multi-AGV system cannot guarantee to improve the working efficiency of AGV under the limited time and route. AGV generally can only receive and execute one task. It is not possible to assign tasks to the optimal AGV based on information such as line conditions, pick-up and release locations, and types of goods, so as to reduce the AGV no-load rate, reduce AGV congestion, and improve the over...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08
CPCG06Q10/047G06Q10/083G06Q10/0631
Inventor 钟华刚范远来彭朋仲召正吴航浦乾
Owner 四叶草(苏州)智能科技有限公司
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