本文選題：任務(wù)規(guī)劃　切入點(diǎn)：集群　出處：《天津大學(xué)》2013年碩士論文

【摘要】：任務(wù)規(guī)劃技術(shù)是隨著無人飛行平臺(tái)實(shí)際使用需求而迅速發(fā)展起來的一個(gè)新興技術(shù)，它是以先進(jìn)、高效的計(jì)算機(jī)平臺(tái)為基礎(chǔ)，通過對(duì)各種海量基礎(chǔ)規(guī)劃數(shù)據(jù)的計(jì)算、處理和分析，輔助制定無人飛行平臺(tái)任務(wù)規(guī)劃和最終飛行航跡。任務(wù)規(guī)劃信息處理具有數(shù)據(jù)量大、計(jì)算復(fù)雜、處理時(shí)間長等特點(diǎn)，，基于多集群開發(fā)一個(gè)并行數(shù)據(jù)預(yù)處理系統(tǒng)對(duì)縮短任務(wù)規(guī)劃時(shí)間具有重要意義。 針對(duì)任務(wù)規(guī)劃中地圖預(yù)處理的計(jì)算密集和高度并行的特點(diǎn)，本文設(shè)計(jì)并實(shí)現(xiàn)了一個(gè)專用于調(diào)度地圖預(yù)處理作業(yè)的作業(yè)調(diào)度系統(tǒng)。為驗(yàn)證作業(yè)調(diào)度系統(tǒng)的調(diào)度效率、容錯(cuò)性和規(guī)劃平臺(tái)的可擴(kuò)展性，本文從任務(wù)規(guī)劃中最耗時(shí)的基礎(chǔ)地圖數(shù)據(jù)的預(yù)處理入手，實(shí)現(xiàn)了地形適配區(qū)選擇的串行計(jì)算，并運(yùn)用OpenMP和MPI兩種并行標(biāo)準(zhǔn)，實(shí)現(xiàn)了地形適配區(qū)選擇的多線程并行計(jì)算和多節(jié)點(diǎn)并行計(jì)算。在集群平臺(tái)上用作業(yè)調(diào)度系統(tǒng)對(duì)地形適配區(qū)選擇作業(yè)進(jìn)行調(diào)度，通過對(duì)比實(shí)驗(yàn)，表明了該作業(yè)調(diào)度系統(tǒng)具有良好的調(diào)度效率、容錯(cuò)性和規(guī)劃平臺(tái)良好的可擴(kuò)展性，能充分利用集群的計(jì)算能力，從而縮短任務(wù)規(guī)劃時(shí)間。
[Abstract]:Mission planning technology is a new technology developed rapidly with the actual demand of unmanned flight platform. It is based on advanced and efficient computer platform, through the calculation, processing and analysis of various mass basic planning data. To assist in developing mission planning and final flight path of unmanned flight platform. Mission planning information processing has the characteristics of large amount of data, complex calculation, long processing time, etc. It is important to develop a parallel data preprocessing system based on multiple clusters to shorten task planning time. According to the characteristics of intensive and highly parallel map preprocessing in task planning, this paper designs and implements a job scheduling system dedicated to scheduling map preprocessing, in order to verify the scheduling efficiency of the job scheduling system. Fault tolerance and extensibility of the planning platform. This paper starts with the preprocessing of the most time-consuming basic map data in task planning, realizes the serial calculation of terrain adaptation area selection, and uses two parallel standards, OpenMP and MPI. The multi-thread parallel computing and multi-node parallel computing for terrain adaptation area selection are realized. The job scheduling system is used to schedule the terrain adaptation area selection job on the cluster platform. It is shown that the job scheduling system has good scheduling efficiency, fault tolerance and good scalability of the planning platform, and can make full use of the computing power of the cluster, thus shortening the task planning time.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP338.6

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本文編號(hào)：1674568