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RFID-carried unmanned aerial vehicle inventory path planning method

A path planning and UAV technology, applied in vehicle position/route/height control, logistics, instruments, etc., can solve problems such as slow convergence speed, long working hours, and low convergence accuracy

Pending Publication Date: 2021-04-09
KUNMING UNIV OF SCI & TECH +1
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The invention introduces the UAV motion model into the UAV track planning scheme, and studies the cost-effectiveness ratio of the UAV from the perspective of work, so as to improve the work efficiency and working time of the UAV inventory, and further proposes A hybrid differential evolution algorithm based on parti

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  • RFID-carried unmanned aerial vehicle inventory path planning method
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  • RFID-carried unmanned aerial vehicle inventory path planning method

Examples

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Embodiment 1

[0094] The unmanned aerial vehicle inventory planning scheme of equipment radio frequency identification (RFID) reader of the present invention is at least by a quadrotor unmanned aerial vehicle (DJIPhantom4 Pro v2.04K), a radio frequency identification reader (SCR708), and and radio frequency The identification reader is composed of matching PFID tags.

[0095] In this example, a path planning method for an unmanned aerial vehicle equipped with RFID uses the following steps:

[0096] Step 1. Establish a path planning model for UAVs in industrial warehouse inventory according to the physical performance constraints of quadrotor UAVs, radio frequency device performance constraints, warehouse environment information, and cargo inventory requirements;

[0097] The path planning model of the unmanned aerial vehicle in the industrial warehouse inventory includes the objective function and constraint conditions of path planning

[0098] The optimization goal of UAV path planning in...

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Abstract

The invention discloses an RFID-carried unmanned aerial vehicle inventory path planning method, and belongs to the technical field of unmanned aerial vehicle path planning. The method comprises the following steps: firstly building a path planning model of an unmanned aerial vehicle in industrial warehouse inventory; then, based on the established unmanned aerial vehicle cargo inventory model, adopting an improved lion group-based differential evolution hybrid algorithm to map the inventory path optimization process to the population propagation evolution process; and meanwhile, introducing the operation of lion swarm optimization to mix and improve the differential evolution algorithm, and utilizing the improved hybrid differential evolution algorithm to optimize the inventory track of the unmanned aerial vehicle in order to obtain the planned path of the unmanned aerial vehicle. The path planning method and device for the unmanned aerial vehicle in industrial enterprise inventory checking, provided in the embodiment, provide effective technical support for goods checking of the unmanned aerial vehicle carrying an RFID reader in an elevated warehouse and other types of warehouses.

Description

technical field [0001] The invention belongs to the technical field of UAV path planning, and more specifically relates to a UAV path planning method equipped with RFID. Background technique [0002] As a non-contact information collection technology, radio frequency identification has the characteristics of automatic identification, high security, and non-contact, and has been widely used in major logistics companies. [0003] The elevated three-dimensional shelf has the advantages of saving space, but it also brings difficulties to the inventory of goods due to its height. UAVs equipped with reader equipment can automatically inventory the goods that have been pasted with labels. Therefore, UAVs combined with high-precision Portable radio frequency identification (RFID) readers will become a major application trend of smart storage. [0004] Due to the small size and heavy weight of UAVs used in storage environments to mount readers, the biggest constraint factor is the e...

Claims

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Application Information

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IPC IPC(8): G01C21/20G05D1/10G06K7/10G06Q10/08G06Q50/28
CPCG01C21/206G05D1/101G06K7/10G06Q10/087G06Q50/28
Inventor 潘楠孙雨轩陈启用刘海石潘地林
Owner KUNMING UNIV OF SCI & TECH