Equipment distribution method for detecting equipment network on basis of particle swarm algorithm

Abstract

The invention relates to an equipment distribution method for a detecting equipment network on the basis of a particle swarm algorithm. The method comprises the following steps that 1, a monitoring task model among detecting equipment, a detecting target and a deterring time interval is built, detectable monitoring task sequences of equipment are generated, and in addition, simulation parameters are initialized; 2, the corresponding relationship between each particle and the detectable monitoring task sequences of the equipment is built, and in addition, the time interval of the detecting task is regulated according to elements of each particle; 3, the fitness function of each particle is calculated according to the mapping relationship between each particle and a monitoring task, and in addition, the local optimal solution and the global optimal solution of a particle swarm are updated; 4, whether the number of iterations reaches preset conditions or not is judged, if so, the monitoring task sequence corresponding to the global optimal particle is output, if not, the parameters of the particle swarm are updated, and the second to fourth steps are repeated until the conditions are met. The equipment distribution method has the advantages that the problem of task distribution when a plurality of pieces of detecting equipment are networked for monitoring a plurality of targets is effectively solved, and the optimization of the equipment work state of the detecting equipment network is realized.

Description

technical field [0001] The present invention relates to the technical field of space target detection, and more specifically to a method for allocating equipment in a detection equipment network based on a particle swarm algorithm, which is suitable for optimal allocation of equipment resources when multiple equipment jointly detects multiple space objects. Background technique [0002] The detection equipment allocation technology solves the problem of how to optimize the allocation of detection resources for multiple detection equipment networking to jointly detect multiple space targets. In the past ten or twenty years, the number of space objects has increased dramatically, which poses a great threat to the safety of spacecraft in orbit. In order to ensure the safety of on-orbit spacecraft, detection equipment is increasing, and it is necessary to optimize the scheduling of each equipment, give full play to the detection performance of each equipment, and detect more on-...

AI Technical Summary

Problems solved by technology

[0006] In view of this, one of the main purposes of the present invention is to provide a detection equipment network equipment allocation method based on the particle swarm optimization algorithm, so that when scheduling monitoring task resources, it is possible to obtain an optimized monitoring task scheduling result faster and overcome It overcomes the high computational complexity of the conventional combination method and the problem that the optimal processing of multi-device multi-objective problems consumes a lot of time and insufficient computing resources.

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