Mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning
The invention provides a mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning. The method comprises the following steps: collecting mountainous area wind field actual measurement point real-time wind condition data; substituting...
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| creator | MO RUIYU CHEN TAOLI YANG WEI ZHANG RIKUI MAO FENG ZHANG HUIYANG WEN MAOSHI DING KEQI |
| description | The invention provides a mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning. The method comprises the following steps: collecting mountainous area wind field actual measurement point real-time wind condition data; substituting the real-time transient wind condition data into a real-time transient wind condition data forecasting model; and generating real-time transient wind condition forecasting data of the to-be-forecasted point. The real-time transient wind condition data forecasting model is established through the following steps: establishing a digital geometric model of a mountainous area wind field to be forecasted; performing full-wind-direction and full-wind-speed numerical calculation on the digital geometric model of the mountainous area wind field by using a computational fluid mechanics method, and establishing a wind environment simulation database of the mountainous area wind field; extracting simulation wind condition da |
| format | Patent |
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The method comprises the following steps: collecting mountainous area wind field actual measurement point real-time wind condition data; substituting the real-time transient wind condition data into a real-time transient wind condition data forecasting model; and generating real-time transient wind condition forecasting data of the to-be-forecasted point. The real-time transient wind condition data forecasting model is established through the following steps: establishing a digital geometric model of a mountainous area wind field to be forecasted; performing full-wind-direction and full-wind-speed numerical calculation on the digital geometric model of the mountainous area wind field by using a computational fluid mechanics method, and establishing a wind environment simulation database of the mountainous area wind field; extracting simulation wind condition da</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; MEASURING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR ; TESTING ; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES ; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</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=20210115&DB=EPODOC&CC=CN&NR=112231979A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210115&DB=EPODOC&CC=CN&NR=112231979A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MO RUIYU</creatorcontrib><creatorcontrib>CHEN TAOLI</creatorcontrib><creatorcontrib>YANG WEI</creatorcontrib><creatorcontrib>ZHANG RIKUI</creatorcontrib><creatorcontrib>MAO FENG</creatorcontrib><creatorcontrib>ZHANG HUIYANG</creatorcontrib><creatorcontrib>WEN MAOSHI</creatorcontrib><creatorcontrib>DING KEQI</creatorcontrib><title>Mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning</title><description>The invention provides a mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning. 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The real-time transient wind condition data forecasting model is established through the following steps: establishing a digital geometric model of a mountainous area wind field to be forecasted; performing full-wind-direction and full-wind-speed numerical calculation on the digital geometric model of the mountainous area wind field by using a computational fluid mechanics method, and establishing a wind environment simulation database of the mountainous area wind field; extracting simulation wind condition da</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><subject>TESTING</subject><subject>TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES</subject><subject>TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDEKwkAQRdNYiHqH8QAWSQpJKUGx0co-jLsTM7CZCdlZbDy8G_AAVh_ef7x18blpEkMWTRFwJgSWaJiR0ILeLB6cimdjFeh1JofRWF4wkg3q4YmRPOTP6Tglw8XDAH1I7LPjBhR2uZ07I7qBhSAQzpIT22LVY4i0--2m2F_Oj_Z6oEk7ihM6ErKuvZdlVdVlc2xO9T_OF8HeSPI</recordid><startdate>20210115</startdate><enddate>20210115</enddate><creator>MO RUIYU</creator><creator>CHEN TAOLI</creator><creator>YANG WEI</creator><creator>ZHANG RIKUI</creator><creator>MAO FENG</creator><creator>ZHANG HUIYANG</creator><creator>WEN MAOSHI</creator><creator>DING KEQI</creator><scope>EVB</scope></search><sort><creationdate>20210115</creationdate><title>Mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning</title><author>MO RUIYU ; CHEN TAOLI ; YANG WEI ; ZHANG RIKUI ; MAO FENG ; ZHANG HUIYANG ; WEN MAOSHI ; DING KEQI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112231979A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><topic>TESTING</topic><topic>TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES</topic><topic>TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>MO RUIYU</creatorcontrib><creatorcontrib>CHEN TAOLI</creatorcontrib><creatorcontrib>YANG WEI</creatorcontrib><creatorcontrib>ZHANG RIKUI</creatorcontrib><creatorcontrib>MAO FENG</creatorcontrib><creatorcontrib>ZHANG HUIYANG</creatorcontrib><creatorcontrib>WEN MAOSHI</creatorcontrib><creatorcontrib>DING KEQI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MO RUIYU</au><au>CHEN TAOLI</au><au>YANG WEI</au><au>ZHANG RIKUI</au><au>MAO FENG</au><au>ZHANG HUIYANG</au><au>WEN MAOSHI</au><au>DING KEQI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning</title><date>2021-01-15</date><risdate>2021</risdate><abstract>The invention provides a mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning. The method comprises the following steps: collecting mountainous area wind field actual measurement point real-time wind condition data; substituting the real-time transient wind condition data into a real-time transient wind condition data forecasting model; and generating real-time transient wind condition forecasting data of the to-be-forecasted point. The real-time transient wind condition data forecasting model is established through the following steps: establishing a digital geometric model of a mountainous area wind field to be forecasted; performing full-wind-direction and full-wind-speed numerical calculation on the digital geometric model of the mountainous area wind field by using a computational fluid mechanics method, and establishing a wind environment simulation database of the mountainous area wind field; extracting simulation wind condition da</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING MEASURING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR |
| title | Mountainous area instantaneous wind condition forecasting method based on computational fluid mechanics and machine learning |
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