Industrial chain risk identification method and system based on time sequence diagram
The invention discloses an industrial chain risk identification method and system based on a time sequence diagram, and relates to the field of industrial chain risk identification. Acquiring industrial chain data and constructing a risk factor graph with time sequence information to obtain a risk f...
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| creator | SUN YONGJIAO WANG XIANGYU JI HANGXU BI XIN |
| description | The invention discloses an industrial chain risk identification method and system based on a time sequence diagram, and relates to the field of industrial chain risk identification. Acquiring industrial chain data and constructing a risk factor graph with time sequence information to obtain a risk factor sequence diagram; obtaining industrial chain risk data; obtaining an industrial chain state sequence and an industrial chain state transition diagram, and extracting the risk factor time sequence diagram according to the industrial chain state sequence and the industrial chain state transition diagram to obtain risk factor time sequence data; respectively performing static embedding and dynamic embedding on the industrial chain risk data and the risk factor time sequence data to respectively obtain a static embedding vector and a dynamic embedding vector; performing joint information embedding on the dynamic embedding vector and the risk factor time sequence diagram to obtain a result vector set of joint info |
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Acquiring industrial chain data and constructing a risk factor graph with time sequence information to obtain a risk factor sequence diagram; obtaining industrial chain risk data; obtaining an industrial chain state sequence and an industrial chain state transition diagram, and extracting the risk factor time sequence diagram according to the industrial chain state sequence and the industrial chain state transition diagram to obtain risk factor time sequence data; respectively performing static embedding and dynamic embedding on the industrial chain risk data and the risk factor time sequence data to respectively obtain a static embedding vector and a dynamic embedding vector; performing joint information embedding on the dynamic embedding vector and the risk factor time sequence diagram to obtain a result vector set of joint info</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 DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</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=20231121&DB=EPODOC&CC=CN&NR=117094558A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76419</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231121&DB=EPODOC&CC=CN&NR=117094558A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SUN YONGJIAO</creatorcontrib><creatorcontrib>WANG XIANGYU</creatorcontrib><creatorcontrib>JI HANGXU</creatorcontrib><creatorcontrib>BI XIN</creatorcontrib><title>Industrial chain risk identification method and system based on time sequence diagram</title><description>The invention discloses an industrial chain risk identification method and system based on a time sequence diagram, and relates to the field of industrial chain risk identification. 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Acquiring industrial chain data and constructing a risk factor graph with time sequence information to obtain a risk factor sequence diagram; obtaining industrial chain risk data; obtaining an industrial chain state sequence and an industrial chain state transition diagram, and extracting the risk factor time sequence diagram according to the industrial chain state sequence and the industrial chain state transition diagram to obtain risk factor time sequence data; respectively performing static embedding and dynamic embedding on the industrial chain risk data and the risk factor time sequence data to respectively obtain a static embedding vector and a dynamic embedding vector; performing joint information embedding on the dynamic embedding vector and the risk factor time sequence diagram to obtain a result vector set of joint info</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 DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Industrial chain risk identification method and system based on time sequence diagram |
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