NLP-based operator work order intelligent processing method and system
The invention provides an NLP-based operator work order intelligent processing method and system in the technical field of intelligent operation and maintenance, and the method comprises the steps: S10, obtaining a large amount of work order data, and carrying out the data cleaning of each piece of...
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| creator | CHEN HAO LI LIN LIN CHENGHAN LIN JUNDE CHEN LIFENG YAN ERLE |
| description | The invention provides an NLP-based operator work order intelligent processing method and system in the technical field of intelligent operation and maintenance, and the method comprises the steps: S10, obtaining a large amount of work order data, and carrying out the data cleaning of each piece of work order data, and obtaining a work order data set; step S20, creating a work order pre-judgment model, a work order transfer model and a work order reply model, and training each model by using the work order data set; step S30, issuing the trained work order pre-judgment model, work order transfer model and work order reply model; step S40, acquiring a to-be-processed work order, performing data cleaning on the to-be-processed work order, inputting the to-be-processed work order into the work order pre-judgment model to perform work order classification, and generating a classification result; step S50, inputting the to-be-processed work order into a work order transfer model based on the classification result |
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step S20, creating a work order pre-judgment model, a work order transfer model and a work order reply model, and training each model by using the work order data set; step S30, issuing the trained work order pre-judgment model, work order transfer model and work order reply model; step S40, acquiring a to-be-processed work order, performing data cleaning on the to-be-processed work order, inputting the to-be-processed work order into the work order pre-judgment model to perform work order classification, and generating a classification result; step S50, inputting the to-be-processed work order into a work order transfer model based on the classification result</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 ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</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=20220322&DB=EPODOC&CC=CN&NR=114219502A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220322&DB=EPODOC&CC=CN&NR=114219502A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN HAO</creatorcontrib><creatorcontrib>LI LIN</creatorcontrib><creatorcontrib>LIN CHENGHAN</creatorcontrib><creatorcontrib>LIN JUNDE</creatorcontrib><creatorcontrib>CHEN LIFENG</creatorcontrib><creatorcontrib>YAN ERLE</creatorcontrib><title>NLP-based operator work order intelligent processing method and system</title><description>The invention provides an NLP-based operator work order intelligent processing method and system in the technical field of intelligent operation and maintenance, and the method comprises the steps: S10, obtaining a large amount of work order data, and carrying out the data cleaning of each piece of work order data, and obtaining a work order data set; 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LI LIN ; LIN CHENGHAN ; LIN JUNDE ; CHEN LIFENG ; YAN ERLE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114219502A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</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>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN HAO</creatorcontrib><creatorcontrib>LI LIN</creatorcontrib><creatorcontrib>LIN CHENGHAN</creatorcontrib><creatorcontrib>LIN JUNDE</creatorcontrib><creatorcontrib>CHEN LIFENG</creatorcontrib><creatorcontrib>YAN ERLE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN HAO</au><au>LI LIN</au><au>LIN CHENGHAN</au><au>LIN JUNDE</au><au>CHEN LIFENG</au><au>YAN ERLE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>NLP-based operator work order intelligent processing method and system</title><date>2022-03-22</date><risdate>2022</risdate><abstract>The invention provides an NLP-based operator work order intelligent processing method and system in the technical field of intelligent operation and maintenance, and the method comprises the steps: S10, obtaining a large amount of work order data, and carrying out the data cleaning of each piece of work order data, and obtaining a work order data set; step S20, creating a work order pre-judgment model, a work order transfer model and a work order reply model, and training each model by using the work order data set; step S30, issuing the trained work order pre-judgment model, work order transfer model and work order reply model; step S40, acquiring a to-be-processed work order, performing data cleaning on the to-be-processed work order, inputting the to-be-processed work order into the work order pre-judgment model to perform work order classification, and generating a classification result; step S50, inputting the to-be-processed work order into a work order transfer model based on the classification result</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 HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | NLP-based operator work order intelligent processing method and system |
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