An optimization modeling method for multi-type vehicle-mounted equipment observation task joint scheduling problems

A technology of joint scheduling and on-board equipment, applied in forecasting, data processing applications, calculations, etc., can solve problems that are difficult to solve, extremely fast in dimension divergence, and complex kernels

Active Publication Date: 2019-01-11
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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Problems solved by technology

[0007] Since it involves the mapping relationship between equipment, stations and targets, and needs to take into account the constraints of preparation time and remaining number of observations, the core of the problem is complex and the dimensions diverge very quickly, so it is difficult to use traditional mathematical models to solve it
At t

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  • An optimization modeling method for multi-type vehicle-mounted equipment observation task joint scheduling problems
  • An optimization modeling method for multi-type vehicle-mounted equipment observation task joint scheduling problems
  • An optimization modeling method for multi-type vehicle-mounted equipment observation task joint scheduling problems

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Embodiment Construction

[0065] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0066] The present invention establishes an optimization model with complete elements, and in specific implementation, the model needs to be used in conjunction with a corresponding optimization algorithm. From the perspective of optimization theory, the optimization model mainly answers three questions: what are the optimization independent variables, what constraints should the optimization independent variables satisfy, and what are the evaluation indicators of the optimization independent variables. These three problems have been elaborated in the technical solution, and will be further described below in conjunction with a specific embodiment.

[0067] This embodiment is realized by relying on Satellite Tool Kit (STK) software.

[0068] First given the initi...

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Abstract

The invention relates to the technical field of modeling, and discloses an optimization modeling method for multi-type vehicle-mounted equipment observation task joint scheduling problems. The methodis characterized by including the following steps: a, determining known data; b, selecting the optimized independent variable; c, determining optimization constraints; d, selecting optimization indicators. Through construction of a mathematical model with ingenious structure and strong expansibility, the above-mentioned joint scheduling problem of observation tasks is transformed into an optimization problem, which creates conditions for the effective solution of the problem.

Description

technical field [0001] The invention relates to the technical field of modeling, in particular to an optimal modeling method for the joint scheduling problem of multi-type vehicle-mounted equipment observation tasks. Background technique [0002] The present invention relates to a type of ground vehicle measuring equipment (hereinafter referred to as equipment). This type of equipment is deployed at a specific ground station. In a short time interval when a space object is over the top, the equipment can observe it. The time interval It is called the observation window of the equipment to the space object (the calculation of the observation window involves the motion characteristics and photoelectric characteristics constraints that the equipment working mechanism and the space object need to satisfy. This problem is not the focus of the present invention, and will not be repeated here). The equipment can move along the road with the vehicle, and go back and forth between th...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 李智柴华王伟林王建华李怡勇白珍
Owner PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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