一种因果链路分析方法、设备及计算机可读存储介质
本发明公开了一种因果链路分析方法、设备及计算机可读存储介质，所述方法包括：对指定对象生产过程进行记录分析，获得与所述生产过程对应的多个指定变量；基于相关度判断规则确定所述多个指定变量之间的无向相关链路；根据因果概率预测模型对所述无向相关链路进行预测，获得与所述无向相关链路对应的有向因果概率值；根据所述有向因果概率值确定所述多个指定变量之间的有向因果链路，所述有向因果链路用于表征所述指定对象生产过程的因果关系；能知道在生产过程中各指定变量间互相影响的先后顺序。 The invention discloses a causal link analysis method, causal link a...
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| description | 本发明公开了一种因果链路分析方法、设备及计算机可读存储介质，所述方法包括：对指定对象生产过程进行记录分析，获得与所述生产过程对应的多个指定变量；基于相关度判断规则确定所述多个指定变量之间的无向相关链路；根据因果概率预测模型对所述无向相关链路进行预测，获得与所述无向相关链路对应的有向因果概率值；根据所述有向因果概率值确定所述多个指定变量之间的有向因果链路，所述有向因果链路用于表征所述指定对象生产过程的因果关系；能知道在生产过程中各指定变量间互相影响的先后顺序。
The invention discloses a causal link analysis method, causal link analysis equipment and a computer readable storage medium. The method comprises the steps: carrying out the recording and analysis ofa production process of a specified object, and obtaining a plurality of specified variables corresponding to the production process; determining an undirected correlation link among the plurality ofspecified variables based on a relevancy judgment rule; predicting the undirected correlation link according to a causal probability prediction model to obtain a directed causal probability value corresponding to the undirected correlation link; determining a directed causal link among the plurality of specified variables according to the directed causal probability values, wherein the dire |
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The invention discloses a causal link analysis method, causal link analysis equipment and a computer readable storage medium. The method comprises the steps: carrying out the recording and analysis ofa production process of a specified object, and obtaining a plurality of specified variables corresponding to the production process; determining an undirected correlation link among the plurality ofspecified variables based on a relevancy judgment rule; predicting the undirected correlation link according to a causal probability prediction model to obtain a directed causal probability value corresponding to the undirected correlation link; determining a directed causal link among the plurality of specified variables according to the directed causal probability values, wherein the dire</description><language>chi</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 ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</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=20240621&DB=EPODOC&CC=CN&NR=111985677B$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240621&DB=EPODOC&CC=CN&NR=111985677B$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><title>一种因果链路分析方法、设备及计算机可读存储介质</title><description>本发明公开了一种因果链路分析方法、设备及计算机可读存储介质，所述方法包括：对指定对象生产过程进行记录分析，获得与所述生产过程对应的多个指定变量；基于相关度判断规则确定所述多个指定变量之间的无向相关链路；根据因果概率预测模型对所述无向相关链路进行预测，获得与所述无向相关链路对应的有向因果概率值；根据所述有向因果概率值确定所述多个指定变量之间的有向因果链路，所述有向因果链路用于表征所述指定对象生产过程的因果关系；能知道在生产过程中各指定变量间互相影响的先后顺序。
The invention discloses a causal link analysis method, causal link analysis equipment and a computer readable storage medium. The method comprises the steps: carrying out the recording and analysis ofa production process of a specified object, and obtaining a plurality of specified variables corresponding to the production process; determining an undirected correlation link among the plurality ofspecified variables based on a relevancy judgment rule; predicting the undirected correlation link according to a causal probability prediction model to obtain a directed causal probability value corresponding to the undirected correlation link; determining a directed causal link among the plurality of specified variables according to the directed causal probability values, wherein the dire</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>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHB9sqPh-fLep7MXPJs35-XkfS-2r3_a0fZs3oRn03Y-2zz1cUPji3X7ni5pf9rf9WLdwufrpj-bs-tp__oX63c_XTvjadOKJ7u7X2xZwcPAmpaYU5zKC6W5GZTcXEOcPXRTC_LjU4sLEpNT81JL4p39DA0NLS1MzczNnZyMiVIEAMffSzg</recordid><startdate>20240621</startdate><enddate>20240621</enddate><scope>EVB</scope></search><sort><creationdate>20240621</creationdate><title>一种因果链路分析方法、设备及计算机可读存储介质</title></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111985677BB3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>一种因果链路分析方法、设备及计算机可读存储介质</title><date>2024-06-21</date><risdate>2024</risdate><abstract>本发明公开了一种因果链路分析方法、设备及计算机可读存储介质，所述方法包括：对指定对象生产过程进行记录分析，获得与所述生产过程对应的多个指定变量；基于相关度判断规则确定所述多个指定变量之间的无向相关链路；根据因果概率预测模型对所述无向相关链路进行预测，获得与所述无向相关链路对应的有向因果概率值；根据所述有向因果概率值确定所述多个指定变量之间的有向因果链路，所述有向因果链路用于表征所述指定对象生产过程的因果关系；能知道在生产过程中各指定变量间互相影响的先后顺序。
The invention discloses a causal link analysis method, causal link analysis equipment and a computer readable storage medium. The method comprises the steps: carrying out the recording and analysis ofa production process of a specified object, and obtaining a plurality of specified variables corresponding to the production process; determining an undirected correlation link among the plurality ofspecified variables based on a relevancy judgment rule; predicting the undirected correlation link according to a causal probability prediction model to obtain a directed causal probability value corresponding to the undirected correlation link; determining a directed causal link among the plurality of specified variables according to the directed causal probability values, wherein the dire</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 PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | 一种因果链路分析方法、设备及计算机可读存储介质 |
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