Flow field key time step extraction and reconstruction method based on multivariable fusion
The invention discloses a flow field key time step extraction and reconstruction method based on multivariable fusion. The flow field key time step extraction and reconstruction method comprises: S1, obtaining and preprocessing unsteady flow field data; S2, aiming at the unsteady flow field data obt...
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creator | WANG JUN YANG ZHIGONG WANG YUEQING DAI ZHE DENG LIANG YANG WENXIANG WANG FANG |
description | The invention discloses a flow field key time step extraction and reconstruction method based on multivariable fusion. The flow field key time step extraction and reconstruction method comprises: S1, obtaining and preprocessing unsteady flow field data; S2, aiming at the unsteady flow field data obtained in the step S1, completing extraction of multivariable physical flow field key time steps based on data fusion; and S3, performing spatio-temporal information reconstruction on the multivariable unsteady flow field. According to the method, the purpose of quickly and accurately selecting the key time steps of the flow field with multiple time steps is achieved.
本发明公开了一种基于多变量融合的流场关键时间步提取与重构方法,所述流场关键时间步提取与重构方法包括:S1:非定常流场数据的获取和预处理;S2:针对步骤S1获得的非定常流场数据,完成基于数据融合的多变量物理流场关键时间步的提取;S3:对多变量非定常流场进行时空信息重构。通过本发明方法实现了快速准确的对多个时间步的流场进行关键时间步选取的目的。 |
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本发明公开了一种基于多变量融合的流场关键时间步提取与重构方法,所述流场关键时间步提取与重构方法包括:S1:非定常流场数据的获取和预处理;S2:针对步骤S1获得的非定常流场数据,完成基于数据融合的多变量物理流场关键时间步的提取;S3:对多变量非定常流场进行时空信息重构。通过本发明方法实现了快速准确的对多个时间步的流场进行关键时间步选取的目的。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211123&DB=EPODOC&CC=CN&NR=113688578A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211123&DB=EPODOC&CC=CN&NR=113688578A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG JUN</creatorcontrib><creatorcontrib>YANG ZHIGONG</creatorcontrib><creatorcontrib>WANG YUEQING</creatorcontrib><creatorcontrib>DAI ZHE</creatorcontrib><creatorcontrib>DENG LIANG</creatorcontrib><creatorcontrib>YANG WENXIANG</creatorcontrib><creatorcontrib>WANG FANG</creatorcontrib><title>Flow field key time step extraction and reconstruction method based on multivariable fusion</title><description>The invention discloses a flow field key time step extraction and reconstruction method based on multivariable fusion. The flow field key time step extraction and reconstruction method comprises: S1, obtaining and preprocessing unsteady flow field data; S2, aiming at the unsteady flow field data obtained in the step S1, completing extraction of multivariable physical flow field key time steps based on data fusion; and S3, performing spatio-temporal information reconstruction on the multivariable unsteady flow field. According to the method, the purpose of quickly and accurately selecting the key time steps of the flow field with multiple time steps is achieved.
本发明公开了一种基于多变量融合的流场关键时间步提取与重构方法,所述流场关键时间步提取与重构方法包括:S1:非定常流场数据的获取和预处理;S2:针对步骤S1获得的非定常流场数据,完成基于数据融合的多变量物理流场关键时间步的提取;S3:对多变量非定常流场进行时空信息重构。通过本发明方法实现了快速准确的对多个时间步的流场进行关键时间步选取的目的。</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNijsOwjAQBdNQIOAOywEooghwiyIiKio6imgTPwsLx47sNZ_bA4IDUI1mNNPi3LhwJ2PhNF3xJLEDKAlGwkMi92KDJ_aaIvrgk8T8TQPkEjR1nKDp49mJvXG03DmQyek9zYuJYZew-HFWLJv9qT6sMIYWaeQeHtLWx7KsNkqtt2pX_fO8AJv2PAg</recordid><startdate>20211123</startdate><enddate>20211123</enddate><creator>WANG JUN</creator><creator>YANG ZHIGONG</creator><creator>WANG YUEQING</creator><creator>DAI ZHE</creator><creator>DENG LIANG</creator><creator>YANG WENXIANG</creator><creator>WANG FANG</creator><scope>EVB</scope></search><sort><creationdate>20211123</creationdate><title>Flow field key time step extraction and reconstruction method based on multivariable fusion</title><author>WANG JUN ; YANG ZHIGONG ; WANG YUEQING ; DAI ZHE ; DENG LIANG ; YANG WENXIANG ; WANG FANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113688578A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG JUN</creatorcontrib><creatorcontrib>YANG ZHIGONG</creatorcontrib><creatorcontrib>WANG YUEQING</creatorcontrib><creatorcontrib>DAI ZHE</creatorcontrib><creatorcontrib>DENG LIANG</creatorcontrib><creatorcontrib>YANG WENXIANG</creatorcontrib><creatorcontrib>WANG FANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG JUN</au><au>YANG ZHIGONG</au><au>WANG YUEQING</au><au>DAI ZHE</au><au>DENG LIANG</au><au>YANG WENXIANG</au><au>WANG FANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Flow field key time step extraction and reconstruction method based on multivariable fusion</title><date>2021-11-23</date><risdate>2021</risdate><abstract>The invention discloses a flow field key time step extraction and reconstruction method based on multivariable fusion. The flow field key time step extraction and reconstruction method comprises: S1, obtaining and preprocessing unsteady flow field data; S2, aiming at the unsteady flow field data obtained in the step S1, completing extraction of multivariable physical flow field key time steps based on data fusion; and S3, performing spatio-temporal information reconstruction on the multivariable unsteady flow field. According to the method, the purpose of quickly and accurately selecting the key time steps of the flow field with multiple time steps is achieved.
本发明公开了一种基于多变量融合的流场关键时间步提取与重构方法,所述流场关键时间步提取与重构方法包括:S1:非定常流场数据的获取和预处理;S2:针对步骤S1获得的非定常流场数据,完成基于数据融合的多变量物理流场关键时间步的提取;S3:对多变量非定常流场进行时空信息重构。通过本发明方法实现了快速准确的对多个时间步的流场进行关键时间步选取的目的。</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Flow field key time step extraction and reconstruction method based on multivariable fusion |
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