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Logistics distribution method based on multi-unmanned aerial vehicle cooperation and cloud control center

A logistics distribution and logistics center technology, applied in the field of drones, can solve problems such as low efficiency, achieve the effects of improving distribution efficiency, improving delivery timeliness, avoiding long-term flight and a large amount of time consumption

Active Publication Date: 2020-07-31
北京万向新元数字科技研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when there are many items to be delivered, logistics delivery through drones still has the problem of low efficiency

Method used

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  • Logistics distribution method based on multi-unmanned aerial vehicle cooperation and cloud control center
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  • Logistics distribution method based on multi-unmanned aerial vehicle cooperation and cloud control center

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Embodiment Construction

[0020] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0021]The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term ...

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Abstract

The invention relates to a logistics distribution method based on multi-unmanned aerial vehicle cooperation and a cloud control center. The logistics distribution method comprises the following stepsof: firstly, determining a distribution level and a distribution address of each to-be-distributed object in a target region, and further determining a distribution path of each to-be-distributed object; secondly, sending an initial distribution instruction carrying the distribution paths to each unmanned aerial vehicle according to the distribution levels from high to low, in this way, the to-be-distributed objects with high distribution levels can be distributed preferentially, and the distribution efficiency is improved; and thirdly, when feedback information of finishing execution of the initial distribution instruction sent by each unmanned aerial vehicle is received, continuously distributing a current distribution instruction for distributing the target object in a target logisticscenter which is determined according to a current position of each unmanned aerial vehicle and is closest to each unmanned aerial vehicle to each unmanned aerial vehicle. Thus, the distribution task can be allocated to the unmanned aerial vehicles nearby according to the current positions of the unmanned aerial vehicles, long-time flight and a large amount of time consumption of the unmanned aerial vehicles in the pickup process are avoided, and the distribution timeliness is improved.

Description

technical field [0001] The present application relates to the technical field of unmanned aerial vehicles, and in particular to a logistics distribution method and a cloud control center based on multi-unmanned aerial vehicle coordination. Background technique [0002] Unmanned Aerial Vehicle (UAV) is an unmanned aircraft operated by radio remote control equipment and its own program control device. UAVs are widely used in fields such as surveying and mapping, aerial photography, agriculture, disaster relief, power inspection and logistics distribution. The mature development of drones has greatly liberated manpower and time costs. Taking logistics distribution as an example, when there are more and more vehicles on the road, logistics distribution through drones can avoid traffic congestion and congestion. However, when there are many items to be delivered, there is still a problem of inefficiency in logistics delivery through drones. Contents of the invention [0003]...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06Q10/06
CPCG06Q10/0631G06Q10/083
Inventor 蔡敏
Owner 北京万向新元数字科技研究院有限公司
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