MES energy efficiency optimization method and system based on nonlinear wear model
The invention discloses an MES energy efficiency optimization method and system based on a nonlinear wear model, and the method comprises the steps: obtaining real-time operation data from equipment through a sensor and an integrated bottom industrial protocol; a nonlinear wear model is adopted, rea...
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 | LAI GANG XU LIXUAN FAN XIANGWEN YANG JIAN XIN WANG CHEN FEI WEN BO LU HANXIU |
| description | The invention discloses an MES energy efficiency optimization method and system based on a nonlinear wear model, and the method comprises the steps: obtaining real-time operation data from equipment through a sensor and an integrated bottom industrial protocol; a nonlinear wear model is adopted, real-time operation data of the equipment are input into the model, the current equipment wear coefficient is calculated, and the real-time wear condition of the equipment is evaluated; calculating a current energy efficiency index of the equipment through an energy efficiency evaluation model in combination with the real-time operation data and the wear coefficient of the equipment; performing trend analysis on the historical data of the energy efficiency, and predicting a future energy efficiency change trend; the energy efficiency evaluation model adopts a machine learning algorithm; dynamically adjusting a production plan and a scheduling strategy through a scheduling algorithm according to the current energy effi |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117852806A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117852806A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117852806A3</originalsourceid><addsrcrecordid>eNrjZAjydQ1WSM1LLUqvVEhNS8tMzkzNS65UyC8oyczNrEosyczPU8hNLcnIT1FIzEtRKK4sLknNVUhKLE5NUQBK5eXn5WTmpSYWKZSDiNz8lNQcHgbWtMSc4lReKM3NoOjmGuLsoZtakB-fWlyQmAy0ryTe2c_Q0NzC1MjCwMzRmBg1AA3sOAs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>MES energy efficiency optimization method and system based on nonlinear wear model</title><source>esp@cenet</source><creator>LAI GANG ; XU LIXUAN ; FAN XIANGWEN ; YANG JIAN ; XIN WANG ; CHEN FEI ; WEN BO ; LU HANXIU</creator><creatorcontrib>LAI GANG ; XU LIXUAN ; FAN XIANGWEN ; YANG JIAN ; XIN WANG ; CHEN FEI ; WEN BO ; LU HANXIU</creatorcontrib><description>The invention discloses an MES energy efficiency optimization method and system based on a nonlinear wear model, and the method comprises the steps: obtaining real-time operation data from equipment through a sensor and an integrated bottom industrial protocol; a nonlinear wear model is adopted, real-time operation data of the equipment are input into the model, the current equipment wear coefficient is calculated, and the real-time wear condition of the equipment is evaluated; calculating a current energy efficiency index of the equipment through an energy efficiency evaluation model in combination with the real-time operation data and the wear coefficient of the equipment; performing trend analysis on the historical data of the energy efficiency, and predicting a future energy efficiency change trend; the energy efficiency evaluation model adopts a machine learning algorithm; dynamically adjusting a production plan and a scheduling strategy through a scheduling algorithm according to the current energy effi</description><language>chi ; eng</language><subject>CALCULATING ; 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>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=20240409&DB=EPODOC&CC=CN&NR=117852806A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240409&DB=EPODOC&CC=CN&NR=117852806A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LAI GANG</creatorcontrib><creatorcontrib>XU LIXUAN</creatorcontrib><creatorcontrib>FAN XIANGWEN</creatorcontrib><creatorcontrib>YANG JIAN</creatorcontrib><creatorcontrib>XIN WANG</creatorcontrib><creatorcontrib>CHEN FEI</creatorcontrib><creatorcontrib>WEN BO</creatorcontrib><creatorcontrib>LU HANXIU</creatorcontrib><title>MES energy efficiency optimization method and system based on nonlinear wear model</title><description>The invention discloses an MES energy efficiency optimization method and system based on a nonlinear wear model, and the method comprises the steps: obtaining real-time operation data from equipment through a sensor and an integrated bottom industrial protocol; a nonlinear wear model is adopted, real-time operation data of the equipment are input into the model, the current equipment wear coefficient is calculated, and the real-time wear condition of the equipment is evaluated; calculating a current energy efficiency index of the equipment through an energy efficiency evaluation model in combination with the real-time operation data and the wear coefficient of the equipment; performing trend analysis on the historical data of the energy efficiency, and predicting a future energy efficiency change trend; the energy efficiency evaluation model adopts a machine learning algorithm; dynamically adjusting a production plan and a scheduling strategy through a scheduling algorithm according to the current energy effi</description><subject>CALCULATING</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 DIGITAL DATA PROCESSING</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>eNrjZAjydQ1WSM1LLUqvVEhNS8tMzkzNS65UyC8oyczNrEosyczPU8hNLcnIT1FIzEtRKK4sLknNVUhKLE5NUQBK5eXn5WTmpSYWKZSDiNz8lNQcHgbWtMSc4lReKM3NoOjmGuLsoZtakB-fWlyQmAy0ryTe2c_Q0NzC1MjCwMzRmBg1AA3sOAs</recordid><startdate>20240409</startdate><enddate>20240409</enddate><creator>LAI GANG</creator><creator>XU LIXUAN</creator><creator>FAN XIANGWEN</creator><creator>YANG JIAN</creator><creator>XIN WANG</creator><creator>CHEN FEI</creator><creator>WEN BO</creator><creator>LU HANXIU</creator><scope>EVB</scope></search><sort><creationdate>20240409</creationdate><title>MES energy efficiency optimization method and system based on nonlinear wear model</title><author>LAI GANG ; XU LIXUAN ; FAN XIANGWEN ; YANG JIAN ; XIN WANG ; CHEN FEI ; WEN BO ; LU HANXIU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117852806A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</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><creatorcontrib>LAI GANG</creatorcontrib><creatorcontrib>XU LIXUAN</creatorcontrib><creatorcontrib>FAN XIANGWEN</creatorcontrib><creatorcontrib>YANG JIAN</creatorcontrib><creatorcontrib>XIN WANG</creatorcontrib><creatorcontrib>CHEN FEI</creatorcontrib><creatorcontrib>WEN BO</creatorcontrib><creatorcontrib>LU HANXIU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LAI GANG</au><au>XU LIXUAN</au><au>FAN XIANGWEN</au><au>YANG JIAN</au><au>XIN WANG</au><au>CHEN FEI</au><au>WEN BO</au><au>LU HANXIU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>MES energy efficiency optimization method and system based on nonlinear wear model</title><date>2024-04-09</date><risdate>2024</risdate><abstract>The invention discloses an MES energy efficiency optimization method and system based on a nonlinear wear model, and the method comprises the steps: obtaining real-time operation data from equipment through a sensor and an integrated bottom industrial protocol; a nonlinear wear model is adopted, real-time operation data of the equipment are input into the model, the current equipment wear coefficient is calculated, and the real-time wear condition of the equipment is evaluated; calculating a current energy efficiency index of the equipment through an energy efficiency evaluation model in combination with the real-time operation data and the wear coefficient of the equipment; performing trend analysis on the historical data of the energy efficiency, and predicting a future energy efficiency change trend; the energy efficiency evaluation model adopts a machine learning algorithm; dynamically adjusting a production plan and a scheduling strategy through a scheduling algorithm according to the current energy effi</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN117852806A |
| source | esp@cenet |
| subjects | CALCULATING 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 | MES energy efficiency optimization method and system based on nonlinear wear model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T18%3A01%3A55IST&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=LAI%20GANG&rft.date=2024-04-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117852806A%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 |