Instant delivery scheduling method based on unmanned aerial vehicle

A scheduling method and drone technology, applied in three-dimensional position/channel control and other directions, can solve the problems of large investment in maintaining logistics vehicle couriers, increasing delivery time, etc., to avoid traffic impact, increase delivery scope, and reduce costs. Effect

Pending Publication Date: 2021-11-02
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This is similar to the charging station solution, logistics companies still need a large investment to maintain logistics vehicles and hire couriers
At the same time, logistics vehicles are easily affected by ground traffic, increasing delivery time

Method used

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  • Instant delivery scheduling method based on unmanned aerial vehicle
  • Instant delivery scheduling method based on unmanned aerial vehicle
  • Instant delivery scheduling method based on unmanned aerial vehicle

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Embodiment Construction

[0037] In existing research, instant delivery is generally used to refer to express delivery tasks with very close deadlines, such as food delivery. If the time is too long, the food will become cold or spoiled. There is currently no unified Chinese translation, here is temporarily translated into instant delivery. Generally speaking, the delivery distance of instant delivery is very short, limited to the same city or even several nearby communities. The present invention hopes to use UAV-bus network collaboration to increase the scope of delivery and take into account the timeliness of delivery.

[0038] The following is a further description of the technical solution of a UAV-based instant delivery scheduling method of the present invention.

[0039] A UAV-based instant delivery scheduling method specifically includes two steps, step 1 system deployment and step 2 task assignment.

[0040] 1. Step 1 system deployment.

[0041] The preconditions for deploying a kind of UAV...

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PUM

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Abstract

The invention provides an instant delivery scheduling method based on an unmanned aerial vehicle. The method comprises the following steps: 1, system deployment: deploying a bus and an unmanned aerial vehicle for task distribution in a service area; step 2, task allocation: after one order arrives, the delivery completeness of the order is judged, the completable order is put into a queue to be executed, and a bus and an unmanned aerial vehicle are waited to be allocated, and by minimizing the average delivery time, the task is issued to the unmanned aerial vehicle according to a bearing capacity design distribution algorithm of the unmanned aerial vehicle. According to the invention, the existing urban public transport network is utilized, and the bus carries the unmanned aerial vehicle, so that the voyage limit is broken through, the traffic influence is avoided as much as possible, and the time consumption of instant delivery is reduced. Meanwhile, the delivery range is enlarged, the delivery demand is maximized, and the average delivery time efficiency is ensured as much as possible.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicle logistics distribution, and in particular relates to an instant delivery scheduling method based on an unmanned aerial vehicle. Background technique [0002] The current instant delivery (such as takeaway) solutions are highly dependent on takeaway staff or logistics vehicles for point-to-point delivery on the urban ground, and the delivery range is usually limited and easily affected by ground traffic conditions. Logistics companies are starting to research a new delivery option: drones. UAVs can fly over cities without being affected by the city's complex terrain and traffic conditions, but UAVs suffer from range limitations. [0003] Logistics companies and researchers have been working to increase the delivery range of drones while taking into account the time consumption of delivery. The most common solution at present is to use drones to fly directly. Amazon’s Prime Air, for example...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/10
CPCG05D1/106
Inventor 李志刚陈前伍潘岩问静波齐振翮
Owner NORTHWESTERN POLYTECHNICAL UNIV
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