公开(公告)号：US20210119900A1

公开(公告)日：2021-04-22

申请号：US16837000

申请日：2020-04-01

Applicant: Hefei University of Technology

Inventor： Guoqiang WANG ,  He LUO ,  Xiaoduo LI ,  Xiaoxuan HU ,  Xin CAO ,  Huawei MA ,  Wei XIA ,  Peng JIN ,  Ya LI

IPC: H04L12/751 ,  H04L12/703 ,  H04W84/18 ,  B64C39/02

Abstract: An intelligent decision-making device and method for UAV formation information interaction topologies in communication interference, comprising: acquiring a three-dimensional UAV formation without communication interference, an initial communication network D1 and an initial information interaction topology T1; acquiring communication links A0 interrupted by UAV formation with communication interference; acquiring interrupted communication links A1 in T1 based on A0 and T1; determining whether A0 affects T1; if not, T1 being the final information interaction topology; if yes, acquiring substitute reverse arcs of A1 and substituting A1 with them to obtain an information interaction topology T2; determining whether T2 is a three-dimensional persistent graph; if yes, T2 being the final information interaction topology; if not, acquiring an undirected graph R1 corresponding to T2; acquiring spare edges based on R1; and adding an arc corresponding to a spare edge in T2 based on the spare edges to obtain a final information interaction topology.

公开(公告)号：US20200209892A1

公开(公告)日：2020-07-02

申请号：US16688433

申请日：2019-11-19

Applicant: Hefei University of Technology

Inventor： He LUO ,  Peng ZHANG ,  Guoqiang WANG ,  Moning ZHU ,  Xiaoxuan HU ,  Ju WANG ,  Xiaoduo LI ,  Wei XIA ,  Peng JIN ,  Huawei MA

IPC: G05D1/10 ,  G05D1/00 ,  G08G1/01 ,  B64C39/02 ,  B64F1/36 ,  G01S19/41

Abstract: The embodiments of the present disclosure provide a method and system for patrolling an expressway by unmanned aerial vehicles (UAVs). The method is applied to the system including a control center, a plurality of UAVs and a plurality of advertising board charging base stations. The method firstly receives unmanned aerial vehicle (UAV) status information sent by the plurality of unmanned aerial vehicles and road section patrolling data through the control center, and receives advertising board charging base station information sent by the plurality of advertising board charging base stations, then classifies, stores and analyzes the received data and information, and finally generates and sends control commands for the UAVs and charging advertising boards. On one hand, the technical solutions of the present disclosure may comprehensively schedule an UAV formation, may also comprehensively control the advertising board charging base stations, and may further dispose and schedule task responses; and on the other hand, the technical solutions of the present disclosure may analyze situations of accidents, violations and the like and scheduling and usage of the UAVs and the advertising board charging base stations, thereby providing decision support data for the control center.

公开(公告)号：US20170347285A1

公开(公告)日：2017-11-30

申请号：US15608571

申请日：2017-05-30

Applicant: Hefei University of Technology

Inventor： He LUO ,  Guoqiang WANG ,  Xiaoxuan HU ,  Huawei MA ,  Peng JIN ,  Wei XIA

IPC: H04W28/02 ,  B64C39/02 ,  G08G5/04 ,  H04W84/18

CPC classification number: H04W28/021 ,  B64C39/024 ,  B64C2201/143 ,  G08G5/0008 ,  G08G5/0052 ,  G08G5/0069 ,  G08G5/045 ,  H04W40/00 ,  H04W84/18

Abstract: A method and a system for reoptimizing unmanned aerial vehicle formation communication topology based on minimum cost arborescence are used for optimizing reconstructed UAV formation communication topology after a communication failure occurs on the UAVs in the formation. The method includes calculating a first communication cost of the reconstructed UAV formation communication topology; comparing the first communication cost with a target communication cost for the minimum cost arborescence of the formation communication diagram under a predetermined state; when the first communication cost is greater than the target communication cost for the minimum cost arborescence of the formation communication diagram under the predetermined state, optimizing the reconstructed UAV formation communication topology through a predetermined strategy.

公开(公告)号：US20180342167A1

公开(公告)日：2018-11-29

申请号：US15953881

申请日：2018-04-16

Applicant: Hefei University of Technology

Inventor： He LUO ,  Guoqiang WANG ,  Zhengzheng LIANG ,  Xiaoxuan HU ,  Shanlin YANG ,  Huawei MA ,  Wei XIA ,  Peng JIN ,  Moning ZHU ,  Yanqiu NIU ,  Xiang FANG

IPC: G08G5/00 ,  G06Q10/04 ,  G06N3/12 ,  B64C39/02

Abstract: The embodiments of the present invention disclose a method and apparatus for joint optimization of multi-UAV task assignment and path planning. The method comprises: obtaining the location information of a plurality of UAVs and a plurality of target points, the dispersion of groundspeed course angle, and motion parameters of each UAV and wind field; constructing an initial population based on the location information, the dispersion of groundspeed course angle and a preset genetic algorithm; determining the flight status of each UAV and the flight time taken by each UAV to complete a path segment of the corresponding Dubins flight path based on the initial population and the motion parameters, obtaining the total time taken by all the UAVs corresponding to each chromosome to complete the task based on the flight time of the path segment; and subjecting the chromosomes in the initial population to crossover and mutation based on the genetic algorithm and, when a predetermined number of iterations is reached, selecting the optimal Dubins flight path as the joint optimization result. In the embodiments of the present invention, the UAV flight path planning problem is combined with the actual flight environment of the UAV, so that the optimal flight path obtained is superior to the solution in which the UAV speed is constant.