Metropolitan area network link capacity prediction method and device, equipment and storage medium
The invention provides a metropolitan area network link capacity prediction method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence. In some embodiments of the invention, the method comprises the following steps: obtaining a metropolitan area...
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| creator | LI HONG XU QIANG KONG YI YANG XINGCHEN LIU CHENGLONG YU YITING LIU FUSHENG LI JIA WU WEI ZHANG HONGHONG ZHU JIAN CUI ZHISHUN ZHANG CHENGHUI XU YAOSHUN ZHANG BIN PANG BIN ZUO JIAN ZHANG HAOJIE MA JING LU JIAHUI LI ZIMENG CAI JINGYI WEN KE CHEN HAO XIAO JING OU XUEQIANG |
| description | The invention provides a metropolitan area network link capacity prediction method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence. In some embodiments of the invention, the method comprises the following steps: obtaining a metropolitan area network application scene type; according to the metropolitan area network application scene type, performing metropolitan area network link capacity prediction by using a link capacity prediction model corresponding to the metropolitan area network application scene type to obtain metropolitan area network link capacity corresponding to the metropolitan area network application scene type; according to the metropolitan area network link capacity, work order distribution operation is carried out; according to the invention, for different metropolitan area network application scenes, the metropolitan area network link capacity prediction is carried out by adopting the corresponding link capacity prediction model, an |
| format | Patent |
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In some embodiments of the invention, the method comprises the following steps: obtaining a metropolitan area network application scene type; according to the metropolitan area network application scene type, performing metropolitan area network link capacity prediction by using a link capacity prediction model corresponding to the metropolitan area network application scene type to obtain metropolitan area network link capacity corresponding to the metropolitan area network application scene type; according to the metropolitan area network link capacity, work order distribution operation is carried out; according to the invention, for different metropolitan area network application scenes, the metropolitan area network link capacity prediction is carried out by adopting the corresponding link capacity prediction model, an</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2024</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=20241018&DB=EPODOC&CC=CN&NR=118802586A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241018&DB=EPODOC&CC=CN&NR=118802586A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI HONG</creatorcontrib><creatorcontrib>XU QIANG</creatorcontrib><creatorcontrib>KONG YI</creatorcontrib><creatorcontrib>YANG XINGCHEN</creatorcontrib><creatorcontrib>LIU CHENGLONG</creatorcontrib><creatorcontrib>YU YITING</creatorcontrib><creatorcontrib>LIU FUSHENG</creatorcontrib><creatorcontrib>LI JIA</creatorcontrib><creatorcontrib>WU WEI</creatorcontrib><creatorcontrib>ZHANG HONGHONG</creatorcontrib><creatorcontrib>ZHU JIAN</creatorcontrib><creatorcontrib>CUI ZHISHUN</creatorcontrib><creatorcontrib>ZHANG CHENGHUI</creatorcontrib><creatorcontrib>XU YAOSHUN</creatorcontrib><creatorcontrib>ZHANG BIN</creatorcontrib><creatorcontrib>PANG BIN</creatorcontrib><creatorcontrib>ZUO JIAN</creatorcontrib><creatorcontrib>ZHANG HAOJIE</creatorcontrib><creatorcontrib>MA JING</creatorcontrib><creatorcontrib>LU JIAHUI</creatorcontrib><creatorcontrib>LI ZIMENG</creatorcontrib><creatorcontrib>CAI JINGYI</creatorcontrib><creatorcontrib>WEN KE</creatorcontrib><creatorcontrib>CHEN HAO</creatorcontrib><creatorcontrib>XIAO JING</creatorcontrib><creatorcontrib>OU XUEQIANG</creatorcontrib><title>Metropolitan area network link capacity prediction method and device, equipment and storage medium</title><description>The invention provides a metropolitan area network link capacity prediction method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence. In some embodiments of the invention, the method comprises the following steps: obtaining a metropolitan area network application scene type; according to the metropolitan area network application scene type, performing metropolitan area network link capacity prediction by using a link capacity prediction model corresponding to the metropolitan area network application scene type to obtain metropolitan area network link capacity corresponding to the metropolitan area network application scene type; according to the metropolitan area network link capacity, work order distribution operation is carried out; according to the invention, for different metropolitan area network application scenes, the metropolitan area network link capacity prediction is carried out by adopting the corresponding link capacity prediction model, an</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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 COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjTEKwkAQRdNYiHqHsVcwirKtBMVGK_sw7n51SLK7biaKtzeIB7B68Hn8N8wuR2gKMdSi7IkTmDz0FVJFtfiKLEe2om-KCU6sSvDUQO_BEXtHDk-xmBEencQGXr9rqyHxDb3opGvG2eDKdYvJj6Nsut-di8McMZRo-3_0ybI45bkxi-XabLarf5wPkUU-dg</recordid><startdate>20241018</startdate><enddate>20241018</enddate><creator>LI HONG</creator><creator>XU QIANG</creator><creator>KONG YI</creator><creator>YANG XINGCHEN</creator><creator>LIU CHENGLONG</creator><creator>YU YITING</creator><creator>LIU FUSHENG</creator><creator>LI JIA</creator><creator>WU WEI</creator><creator>ZHANG HONGHONG</creator><creator>ZHU JIAN</creator><creator>CUI ZHISHUN</creator><creator>ZHANG CHENGHUI</creator><creator>XU YAOSHUN</creator><creator>ZHANG BIN</creator><creator>PANG BIN</creator><creator>ZUO JIAN</creator><creator>ZHANG HAOJIE</creator><creator>MA JING</creator><creator>LU JIAHUI</creator><creator>LI ZIMENG</creator><creator>CAI JINGYI</creator><creator>WEN KE</creator><creator>CHEN HAO</creator><creator>XIAO JING</creator><creator>OU XUEQIANG</creator><scope>EVB</scope></search><sort><creationdate>20241018</creationdate><title>Metropolitan area network link capacity prediction method and device, equipment and storage medium</title><author>LI HONG ; 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In some embodiments of the invention, the method comprises the following steps: obtaining a metropolitan area network application scene type; according to the metropolitan area network application scene type, performing metropolitan area network link capacity prediction by using a link capacity prediction model corresponding to the metropolitan area network application scene type to obtain metropolitan area network link capacity corresponding to the metropolitan area network application scene type; according to the metropolitan area network link capacity, work order distribution operation is carried out; according to the invention, for different metropolitan area network application scenes, the metropolitan area network link capacity prediction is carried out by adopting the corresponding link capacity prediction model, an</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
| title | Metropolitan area network link capacity prediction method and device, equipment and storage medium |
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