Parallel computing method for distribution state numerical value evolution of large-scale space debris

Abstract

The invention provides a parallel computing method for distribution state numerical value evolution of large-scale space debris. The method comprises the steps of dividing a debris distribution space into N height layers; allocating the space debris to the height layers according to geocentric distances of the space debris in sequence, and ensuring debris quantities in the height layers to be same; allocating the space debris contained in the height layer i to a unique corresponding computing process i; and performing integral deduction on a motion state of each piece of space debris in the height layer i according to a set time step length by the computing process i. For mutual collision events of the debris in the evolution process, each height layer is further divided into Na sub-space volume elements, and debris collision probability computing is performed in the sub-space volume elements and adjacent volume elements of the sub-space volume elements. Any two pieces of the debris are prevented from being subjected to collision judgment, so that the computing amount of collision probability judgment can be effectively reduced. The method has the advantages that a debris environment can be subjected to parallel efficient numerical value evolution analysis for hundreds of years in a relatively short time.

Description

technical field [0001] The invention belongs to the field of aerospace dynamics technology and computer technology, in particular to a parallel computing method for numerical evolution of large-scale space debris distribution state. Background technique [0002] With the increasing space activities of human beings, the number of objects launched into space by humans continues to increase, resulting in a rapid increase in the number of objects in the outer space of the earth, and the threat of collisions to spacecraft in orbit is becoming more and more serious. [0003] According to the statistics of NASA's Space Surveillance Network (SSN), the number of space objects larger than 10 cm in size below the height of the geosynchronous orbit has reached more than 15,000, and the number of space objects smaller than 10 cm in size is even more, roughly estimated to be at least 400,000. reached an unprecedented level of congestion. Among these space objects, only a small part are s...

AI Technical Summary

Problems solved by technology

In the prior art, there is no effective parallel and efficient numerical evolution calculation of the distribution state of the current space debris.

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