Multi-platform joint task planning method for complex observation tasks

An observation platform and mission planning technology, applied in the direction of instruments, calculation models, data processing applications, etc.

Active Publication Date: 2020-08-28
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The technical problem to be solved in the present invention is how to quickly arrange observation tasks on multiple observation platforms to form an observation plan in a limited time for multiple types of observation platforms, and proposes a multi-platform joint task planning method for complex observation tasks

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  • Multi-platform joint task planning method for complex observation tasks
  • Multi-platform joint task planning method for complex observation tasks
  • Multi-platform joint task planning method for complex observation tasks

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Embodiment Construction

[0101] Figure 2-Figure 6 A specific embodiment of the multi-platform joint task planning method for complex observation tasks of the present invention is shown; as figure 2 shown, including the following steps:

[0102] Step 1: Preprocess the complex observation task to obtain several subtasks corresponding to the geographic grid on the target observation scene;

[0103] Step 1.1: Use the observation width of the smallest load unit in all observation platforms as the side length to divide the target observation scene into a geographic grid; image 3 As shown, the observation width d of the UAV minimum load unit on the observation platform B 2 Divide a geographic grid for the square side lengths of the geographic grid;

[0104] Step 1.2: Decompose the target search area of ​​the complex observation task into already divided geographic grids, and each geographic grid covered by the target search area corresponds to a subtask. Such as Figure 4 As shown, for a regional tar...

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Abstract

The invention provides a multi-platform joint task planning method for complex observation tasks. The method comprises the steps of preprocessing complex observation tasks and obtaining a plurality ofsubtasks corresponding to the geographic grids; constructing a multi-platform joint task planning model; substituting the plurality of sub-tasks preprocessed in the step 1 into a multi-platform jointtask planning model for solving; depending on solving results, outputting a task sequence of decomposing a complex observation task on each observation platform; according to the method, task preprocessing, optimal modeling, swarm intelligence and machine learning are organically combined, so that complex problems are simplified, experiments show that the multi-platform joint task planning time for complex observation tasks can be shortened to the minute level from the hour level, and the planning efficiency of multi-type observation platforms is effectively improved.

Description

technical field [0001] The invention belongs to the field of task planning and dispatching, and in particular relates to a multi-platform joint task planning method for complex observation tasks. Background technique [0002] With the continuous breakthroughs in computer, aerospace and unmanned technologies, various types of platforms such as earth observation satellites, aircraft, maritime ships, and ground vehicles are capable of carrying precision observation loads. , maneuvering speed, and operating costs each have their own advantages, and jointly undertake important observation tasks. In response to people's growing and increasingly complex data acquisition needs, thanks to the information collection capabilities of various observation methods, the efficiency of weather forecasting, disaster relief, environmental protection, geological surveying and mapping, and sea surface search and rescue has been significantly improved. [0003] Among them, the satellite observati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/00
CPCG06Q10/06312G06N3/006Y02A90/10
Inventor 陈盈果向尚王涛沈大勇张忠山何磊刘晓路吕济民陈宇宁
Owner NAT UNIV OF DEFENSE TECH
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