Unmanned Aerial Vehicle(UAV)swarm has become the inevitable trend of development,which will enjoy broad prospects to be applied in the future.However,the change of UAV application mode will certainly bring new technic...Unmanned Aerial Vehicle(UAV)swarm has become the inevitable trend of development,which will enjoy broad prospects to be applied in the future.However,the change of UAV application mode will certainly bring new technical challenges in the flight management,environmental perception,collaborative control as well as other fields.This paper considers that it can be an effective solution to realize the unified management of spatial information on the UAV platform by adopting the spatial grid model represented by the Geo SOT-3D,and to reduce the workload of flight management,airborne environmental perception,and ranging in the neighborhood through the association and query of all spatial grid data.展开更多
The occurrence of large-magnitude disasters has significantly aroused public attention regarding diversified site selection of emergency facilities.In particular,emergency airport site selection(EASS)is highly complic...The occurrence of large-magnitude disasters has significantly aroused public attention regarding diversified site selection of emergency facilities.In particular,emergency airport site selection(EASS)is highly complicated,and relevant research is rarely conducted.Emergency airport site selection is a scenario with a wide spatiotemporal range,massive data,and complex environmental information,while traditional facility site selection methods may not be applicable to a large-scale time-varying airport environment.In this work,an emergency airport site selection application is presented based on the GeoSOT-3D global subdivision grid model,which has demonstrated good suitability of the discrete global grid system as a spatial data structure for site selection.This paper proposes an objective function that adds a penalty factor to solve the constraints of coverage and the environment in airport construction.Through multiple iterations of the simulated annealing algorithm,the optimal airport construction location can be selected from multiple preselected points.With experimental verifications,this research may effectively and reasonably solve the emergency airport site selection issue under different circumstances.展开更多
文摘Unmanned Aerial Vehicle(UAV)swarm has become the inevitable trend of development,which will enjoy broad prospects to be applied in the future.However,the change of UAV application mode will certainly bring new technical challenges in the flight management,environmental perception,collaborative control as well as other fields.This paper considers that it can be an effective solution to realize the unified management of spatial information on the UAV platform by adopting the spatial grid model represented by the Geo SOT-3D,and to reduce the workload of flight management,airborne environmental perception,and ranging in the neighborhood through the association and query of all spatial grid data.
基金This research was funded by the National Key Research and Development Plan(2018YFB0505300)the Key Research and Development Plan of Shandong Province(2020CXGC010701)the Natural Science Foundation of Shandong Province(ZR2020MF154).
文摘The occurrence of large-magnitude disasters has significantly aroused public attention regarding diversified site selection of emergency facilities.In particular,emergency airport site selection(EASS)is highly complicated,and relevant research is rarely conducted.Emergency airport site selection is a scenario with a wide spatiotemporal range,massive data,and complex environmental information,while traditional facility site selection methods may not be applicable to a large-scale time-varying airport environment.In this work,an emergency airport site selection application is presented based on the GeoSOT-3D global subdivision grid model,which has demonstrated good suitability of the discrete global grid system as a spatial data structure for site selection.This paper proposes an objective function that adds a penalty factor to solve the constraints of coverage and the environment in airport construction.Through multiple iterations of the simulated annealing algorithm,the optimal airport construction location can be selected from multiple preselected points.With experimental verifications,this research may effectively and reasonably solve the emergency airport site selection issue under different circumstances.
