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AGV path calculation method and AGV driving path control method based on unmanned warehouse

A technology of path calculation and driving direction, applied in the computer field, can solve calculation problems and achieve the effect of improving work efficiency

Active Publication Date: 2022-02-01
BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if the acceleration, deceleration and turning costs are considered during path planning, the existing algorithm cannot be directly used to calculate the driving path of the AGV

Method used

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  • AGV path calculation method and AGV driving path control method based on unmanned warehouse
  • AGV path calculation method and AGV driving path control method based on unmanned warehouse
  • AGV path calculation method and AGV driving path control method based on unmanned warehouse

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Embodiment Construction

[0056] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0057] In this exemplary embodiment, an unmanned warehouse-based AGV path calculation method is firstly provided, which can be applied to an unmanned warehouse system. The delivery of goods in the existing unmanned warehouse generally includes the following links:

[0058] 1) Generate outbound tasks according to orders; that is, split the goods in user orders into warehouses, and combine the split goods to generate outbound tasks according to b...

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Abstract

The present disclosure relates to the field of computer technology, in particular to an AGV path calculation method based on an unmanned warehouse, an AGV path calculation device based on an unmanned warehouse, an AGV driving path control method based on an unmanned warehouse, and a storage medium and an electronic terminal. The cost map is constructed according to the unmanned warehouse map so as to obtain the driving cost of the directed edge formed by any adjacent two coordinate points on the cost map; the starting point and the end point of the current trip of the AGV are added to the cost map so as to obtain The cost solution map of the current trip; calling a preset algorithm to calculate the cost solution map of the current trip to obtain the minimum cost path. The disclosure fully considers the driving cost of the AGV under various conditions, so as to provide a data basis for calculating the cost solution map, and then obtain the minimum cost path of the AGV in the current trip.

Description

technical field [0001] The present disclosure relates to the field of computer technology, in particular to an AGV path calculation method based on an unmanned warehouse, an AGV path calculation device based on an unmanned warehouse, an AGV driving path control method based on an unmanned warehouse, and a storage medium and an electronic terminal. Background technique [0002] In the existing unmanned warehouse system, AGV (Automated Guided Vehicle) is usually used to carry goods from the storage position to the picking position. At present, relatively mature solutions include Geek+, Kiva and Fast warehouse and so on. When the AGV performs the handling task, it needs to meet the minimum driving cost, so path planning is often the difficulty and focus in the unmanned warehouse system. [0003] In the existing solutions, the above problem is generally solved by obtaining the shortest path between two points, that is, the shortest travel time is the minimum travel cost. For ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/08G05D1/02
Inventor 韩宁郎元辉朱恒斌
Owner BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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