Anomaly prediction and control method for intelligent manufacturing workshop based on side-cloud collaboration
The invention provides an anomaly prediction and control method for an intelligent manufacturing workshop based on side-cloud collaboration, which comprises the following steps: step 1, constructing aside cloud collaboration decision environment in the intelligent manufacturing workshop based on adv...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | PENG WEI WANG WENBO GU JINAN JING CAIXIA LU FUDONG |
description | The invention provides an anomaly prediction and control method for an intelligent manufacturing workshop based on side-cloud collaboration, which comprises the following steps: step 1, constructing aside cloud collaboration decision environment in the intelligent manufacturing workshop based on advanced information technology; step 2, at the manufacturing resource end, predicting abnormity of the manufacturing resource end based on a convolutional neural network algorithm, actively making an abnormity processing measure, and evaluating whether the measure can eliminate the production abnormity or not; step 3, for an abnormal event which cannot be thoroughly processed by the manufacturing resource end, constructing an abnormal processing measure from two aspects of transverse cooperationand longitudinal cooperation by adopting an edge cloud cooperation scheme; and step 4, issuing the formulated production abnormality management and control measures to related execution resources, executing resource calling re |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112149866A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112149866A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112149866A3</originalsourceid><addsrcrecordid>eNqNzDEOgkAQQFEaC6PeYTwABWqIlIRorKzsybA7wMZhZrO7xHh7JfEAVr_5eetMatEJ-Q0-kHUmORVAsWBUUlCGidKoFnoN4CQRsxtIEkwoc48mzcHJAC8Nzziqhw4jWfgS0VnKDeu8SMzYacDF3marHjnS7tdNtr9eHs0tJ68tRY-GhFLb3IviUJyqc1nWx3-eD0emQ50</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Anomaly prediction and control method for intelligent manufacturing workshop based on side-cloud collaboration</title><source>esp@cenet</source><creator>PENG WEI ; WANG WENBO ; GU JINAN ; JING CAIXIA ; LU FUDONG</creator><creatorcontrib>PENG WEI ; WANG WENBO ; GU JINAN ; JING CAIXIA ; LU FUDONG</creatorcontrib><description>The invention provides an anomaly prediction and control method for an intelligent manufacturing workshop based on side-cloud collaboration, which comprises the following steps: step 1, constructing aside cloud collaboration decision environment in the intelligent manufacturing workshop based on advanced information technology; step 2, at the manufacturing resource end, predicting abnormity of the manufacturing resource end based on a convolutional neural network algorithm, actively making an abnormity processing measure, and evaluating whether the measure can eliminate the production abnormity or not; step 3, for an abnormal event which cannot be thoroughly processed by the manufacturing resource end, constructing an abnormal processing measure from two aspects of transverse cooperationand longitudinal cooperation by adopting an edge cloud cooperation scheme; and step 4, issuing the formulated production abnormality management and control measures to related execution resources, executing resource calling re</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>2020</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=20201229&DB=EPODOC&CC=CN&NR=112149866A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201229&DB=EPODOC&CC=CN&NR=112149866A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PENG WEI</creatorcontrib><creatorcontrib>WANG WENBO</creatorcontrib><creatorcontrib>GU JINAN</creatorcontrib><creatorcontrib>JING CAIXIA</creatorcontrib><creatorcontrib>LU FUDONG</creatorcontrib><title>Anomaly prediction and control method for intelligent manufacturing workshop based on side-cloud collaboration</title><description>The invention provides an anomaly prediction and control method for an intelligent manufacturing workshop based on side-cloud collaboration, which comprises the following steps: step 1, constructing aside cloud collaboration decision environment in the intelligent manufacturing workshop based on advanced information technology; step 2, at the manufacturing resource end, predicting abnormity of the manufacturing resource end based on a convolutional neural network algorithm, actively making an abnormity processing measure, and evaluating whether the measure can eliminate the production abnormity or not; step 3, for an abnormal event which cannot be thoroughly processed by the manufacturing resource end, constructing an abnormal processing measure from two aspects of transverse cooperationand longitudinal cooperation by adopting an edge cloud cooperation scheme; and step 4, issuing the formulated production abnormality management and control measures to related execution resources, executing resource calling re</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>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzDEOgkAQQFEaC6PeYTwABWqIlIRorKzsybA7wMZhZrO7xHh7JfEAVr_5eetMatEJ-Q0-kHUmORVAsWBUUlCGidKoFnoN4CQRsxtIEkwoc48mzcHJAC8Nzziqhw4jWfgS0VnKDeu8SMzYacDF3marHjnS7tdNtr9eHs0tJ68tRY-GhFLb3IviUJyqc1nWx3-eD0emQ50</recordid><startdate>20201229</startdate><enddate>20201229</enddate><creator>PENG WEI</creator><creator>WANG WENBO</creator><creator>GU JINAN</creator><creator>JING CAIXIA</creator><creator>LU FUDONG</creator><scope>EVB</scope></search><sort><creationdate>20201229</creationdate><title>Anomaly prediction and control method for intelligent manufacturing workshop based on side-cloud collaboration</title><author>PENG WEI ; WANG WENBO ; GU JINAN ; JING CAIXIA ; LU FUDONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112149866A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</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>PENG WEI</creatorcontrib><creatorcontrib>WANG WENBO</creatorcontrib><creatorcontrib>GU JINAN</creatorcontrib><creatorcontrib>JING CAIXIA</creatorcontrib><creatorcontrib>LU FUDONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>PENG WEI</au><au>WANG WENBO</au><au>GU JINAN</au><au>JING CAIXIA</au><au>LU FUDONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Anomaly prediction and control method for intelligent manufacturing workshop based on side-cloud collaboration</title><date>2020-12-29</date><risdate>2020</risdate><abstract>The invention provides an anomaly prediction and control method for an intelligent manufacturing workshop based on side-cloud collaboration, which comprises the following steps: step 1, constructing aside cloud collaboration decision environment in the intelligent manufacturing workshop based on advanced information technology; step 2, at the manufacturing resource end, predicting abnormity of the manufacturing resource end based on a convolutional neural network algorithm, actively making an abnormity processing measure, and evaluating whether the measure can eliminate the production abnormity or not; step 3, for an abnormal event which cannot be thoroughly processed by the manufacturing resource end, constructing an abnormal processing measure from two aspects of transverse cooperationand longitudinal cooperation by adopting an edge cloud cooperation scheme; and step 4, issuing the formulated production abnormality management and control measures to related execution resources, executing resource calling re</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN112149866A |
source | esp@cenet |
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 | Anomaly prediction and control method for intelligent manufacturing workshop based on side-cloud collaboration |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T07%3A49%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=PENG%20WEI&rft.date=2020-12-29&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112149866A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |