Space-near space-air sensing cooperative task planning method and device

Abstract

The invention provides a space-near space-air sensing cooperative task planning method, and the method comprises the steps: obtaining observation task requirements which comprise a target space position requirement and a target observation timeliness requirement; respectively calculating a satellite maximum task merging result, an airship maximum task merging result and an unmanned aerial vehiclemaximum task merging result; according to the satellite maximum task merging result, the airship maximum task merging result and the unmanned aerial vehicle maximum task merging result, completing multi-constraint multi-objective optimization with the highest income, the highest task execution rate and load balancing as objectives, so that optimization configuration of space-near space-air sensorresources for multiple optimization objectives is achieved. On the other hand, the invention provides a space-near space-air sensing cooperative task planning device. The space-near space-air sensingcooperative task planning device comprises a demand acquisition module; a satellite maximum task merging result calculation module; an airship maximum task merging result calculation module; an unmanned aerial vehicle maximum task merging result calculation module; and a multi-constraint multi-objective optimization module.

Description

technical field [0001] The present disclosure relates to the technical field of aerospace sensor mission planning, and in particular to a method and device for collaborative mission planning of sky-airborne sensors. Background technique [0002] At present, common remote sensing earth observation technologies mainly include earth observation satellites, near-space airships, and unmanned aerial vehicles. Various sensor resources have achieved important results in earthquake relief, environmental monitoring, and geographic mapping. However, As people's demand for remote sensing data products continues to increase, it is increasingly difficult to meet user needs by relying only on single-domain means such as satellites, airships or drones. [0003] At present, there are few research results on the collaborative task planning methods of sky-link space sensors, and the latest technical achievement is the "Aero-Space Solution Based on Two-Stage Iterative Optimization" proposed by ...

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Problems solved by technology

[0008] All kinds of sensors in Tianlinkong have their own characteristics and shortcomings when used. Earth observation satellites have the advantages of wide coverage and no national boundaries, but the timeliness of observation is poor; near space airships have long space time and strong environmental adaptability. and other advantages, but the maneuverability is weak; the UAV has the advantages of flexible use and high image resolution, but the coverage area is small

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