Dynamic geofence planning method for unmanned aerial vehicle based on airspace gridding

A geo-fencing and UAV technology, applied in flight plan management, aircraft traffic control, computer parts, etc., can solve the problems of low-altitude airspace resource shortage and low utilization rate.

Active Publication Date: 2020-12-22
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0003] Purpose of the invention: The purpose of the present invention is to provide a dynamic geo-fence planning method for unmanned aerial vehicles based on airspace gridding, to solve the problem of low-altitude air

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  • Dynamic geofence planning method for unmanned aerial vehicle based on airspace gridding
  • Dynamic geofence planning method for unmanned aerial vehicle based on airspace gridding
  • Dynamic geofence planning method for unmanned aerial vehicle based on airspace gridding

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Embodiment Construction

[0074] The present invention will be further described below in conjunction with the accompanying drawings.

[0075] figure 1 It is a flowchart of the present invention, which may specifically include the following steps:

[0076] S1. Considering the randomness of the actual trajectory of the UAV, and predicting the flexible trajectory of the UAV flight plan;

[0077] For the target flight plan, firstly, the initial static 4D trajectory model of the UAV is established in combination with the performance parameters of the UAV, and then the trajectory randomness characteristics of the UAV in actual flight are analyzed, and the UAV is analyzed according to the trajectory randomness characteristics. The initial 4D track model is improved, and finally a flexible 4D track prediction model is generated.

[0078] The initial static 4D track prediction model of the UAV is specifically: 4D track refers to the accurate description of the aircraft flight track based on the four-dimensio...

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Abstract

The invention discloses a dynamic geofence planning method for an unmanned aerial vehicle based on low-altitude airspace gridding. The method comprises the following steps: carrying out the flexible flight path prediction of the flight plan of the unmanned aerial vehicle based on the randomness of an actual flight path of the unmanned aerial vehicle; performing dynamic geofence longitudinal lengthdimension design based on a flexible flight path prediction result of the unmanned aerial vehicle; preprocessing historical flight path data in a target airspace range, and performing uniform gridding processing and numbering on airspace; defining key indexes influencing low-altitude airspace complexity, and performing clustering analysis on airspace grids by adopting a kernel Kmean clustering method to obtain a grading measurement result of the low-altitude airspace complexity; and based on the low-altitude airspace grid complexity, conducting dynamic geofence transverse range planning. Thecomplete dynamic geofence planning method for the unmanned aerial vehicle is provided for the first time and applied to low-altitude airspace air traffic management, the utilization rate of the low-altitude airspace is effectively increased, and the problem of resource shortage of the low-altitude airspace is solved.

Description

technical field [0001] The invention relates to air traffic planning and management technology, in particular to a method for planning a dynamic geographic fence of an unmanned aerial vehicle based on airspace gridding. Background technique [0002] With the continuous deepening of civilian UAV applications and the rapid expansion of the UAV market, the operation and management of low-altitude airspace in the future will face huge challenges. The shortage and improper allocation of low-altitude airspace resources will bring many problems. On the one hand, regarding the air traffic management methods of low-altitude airspace, the traditional management mode of dividing isolated airspace or planning static geo-fences is a relatively extensive management mode. Some of the busier airspace resources caused by economic or geographical factors will not be able to meet the demand. On the other hand, due to the variety of aircraft types, aircraft sizes and flight modes in the low-al...

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Application Information

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IPC IPC(8): G08G5/00G06K9/62G06F17/18
CPCG08G5/003G06F17/18G06F18/23213
Inventor 汤新民顾俊伟郑鹏程李腾
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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