Power distribution network fault prediction system and method based on big data technology
According to the power distribution network fault prediction system and method based on the big data technology, automatic access of mass data generated by power distribution network operation management is achieved through a data analysis domain of a big data platform, fusion and unification of pro...
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 | XUE YINGWEI LOU MENGYAO LU XIN LIN CHAO HU CONGZHONG HUANG WENSI ZHANG JIANYONG CHEN JING YE QIANGBIN |
| description | According to the power distribution network fault prediction system and method based on the big data technology, automatic access of mass data generated by power distribution network operation management is achieved through a data analysis domain of a big data platform, fusion and unification of professional data of scheduling, operation inspection and marketing are achieved, a basis is provided for supporting power distribution network fault diagnosis through the big data technology, power big data with larger volume and more types are used as analysis samples to predict the time distributionand space distribution of the electric power load, a basis is provided for planning design and power grid operation scheduling, and the accuracy and effectiveness of decision making are improved; power failure loss of the distribution network can be calculated more accurately through the fault diagnosis system, potential tapping and efficiency increasing are achieved through the big data technology, real-time information |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112257937A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112257937A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112257937A3</originalsourceid><addsrcrecordid>eNqNjbEKwjAQQLs4iPoP5wc4tEWKoxTFSRycXMolubbBNBeSK6V_bxE_wOkN78FbZ68HTxTB2CTRqlEse_AkE8c3tDg6gRDJWP0VaU5CA6A3MJD0bEBhIgOLUrYDg4IgpHvPjrt5m61adIl2P26y_fXyrG8HCtxQCqhpOTX1Pc-L4lidyupc_tN8AHwSO4w</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Power distribution network fault prediction system and method based on big data technology</title><source>esp@cenet</source><creator>XUE YINGWEI ; LOU MENGYAO ; LU XIN ; LIN CHAO ; HU CONGZHONG ; HUANG WENSI ; ZHANG JIANYONG ; CHEN JING ; YE QIANGBIN</creator><creatorcontrib>XUE YINGWEI ; LOU MENGYAO ; LU XIN ; LIN CHAO ; HU CONGZHONG ; HUANG WENSI ; ZHANG JIANYONG ; CHEN JING ; YE QIANGBIN</creatorcontrib><description>According to the power distribution network fault prediction system and method based on the big data technology, automatic access of mass data generated by power distribution network operation management is achieved through a data analysis domain of a big data platform, fusion and unification of professional data of scheduling, operation inspection and marketing are achieved, a basis is provided for supporting power distribution network fault diagnosis through the big data technology, power big data with larger volume and more types are used as analysis samples to predict the time distributionand space distribution of the electric power load, a basis is provided for planning design and power grid operation scheduling, and the accuracy and effectiveness of decision making are improved; power failure loss of the distribution network can be calculated more accurately through the fault diagnosis system, potential tapping and efficiency increasing are achieved through the big data technology, real-time information</description><language>chi ; eng</language><subject>CALCULATING ; 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>2021</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=20210122&DB=EPODOC&CC=CN&NR=112257937A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210122&DB=EPODOC&CC=CN&NR=112257937A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XUE YINGWEI</creatorcontrib><creatorcontrib>LOU MENGYAO</creatorcontrib><creatorcontrib>LU XIN</creatorcontrib><creatorcontrib>LIN CHAO</creatorcontrib><creatorcontrib>HU CONGZHONG</creatorcontrib><creatorcontrib>HUANG WENSI</creatorcontrib><creatorcontrib>ZHANG JIANYONG</creatorcontrib><creatorcontrib>CHEN JING</creatorcontrib><creatorcontrib>YE QIANGBIN</creatorcontrib><title>Power distribution network fault prediction system and method based on big data technology</title><description>According to the power distribution network fault prediction system and method based on the big data technology, automatic access of mass data generated by power distribution network operation management is achieved through a data analysis domain of a big data platform, fusion and unification of professional data of scheduling, operation inspection and marketing are achieved, a basis is provided for supporting power distribution network fault diagnosis through the big data technology, power big data with larger volume and more types are used as analysis samples to predict the time distributionand space distribution of the electric power load, a basis is provided for planning design and power grid operation scheduling, and the accuracy and effectiveness of decision making are improved; power failure loss of the distribution network can be calculated more accurately through the fault diagnosis system, potential tapping and efficiency increasing are achieved through the big data technology, real-time information</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>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>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjbEKwjAQQLs4iPoP5wc4tEWKoxTFSRycXMolubbBNBeSK6V_bxE_wOkN78FbZ68HTxTB2CTRqlEse_AkE8c3tDg6gRDJWP0VaU5CA6A3MJD0bEBhIgOLUrYDg4IgpHvPjrt5m61adIl2P26y_fXyrG8HCtxQCqhpOTX1Pc-L4lidyupc_tN8AHwSO4w</recordid><startdate>20210122</startdate><enddate>20210122</enddate><creator>XUE YINGWEI</creator><creator>LOU MENGYAO</creator><creator>LU XIN</creator><creator>LIN CHAO</creator><creator>HU CONGZHONG</creator><creator>HUANG WENSI</creator><creator>ZHANG JIANYONG</creator><creator>CHEN JING</creator><creator>YE QIANGBIN</creator><scope>EVB</scope></search><sort><creationdate>20210122</creationdate><title>Power distribution network fault prediction system and method based on big data technology</title><author>XUE YINGWEI ; LOU MENGYAO ; LU XIN ; LIN CHAO ; HU CONGZHONG ; HUANG WENSI ; ZHANG JIANYONG ; CHEN JING ; YE QIANGBIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112257937A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</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>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>XUE YINGWEI</creatorcontrib><creatorcontrib>LOU MENGYAO</creatorcontrib><creatorcontrib>LU XIN</creatorcontrib><creatorcontrib>LIN CHAO</creatorcontrib><creatorcontrib>HU CONGZHONG</creatorcontrib><creatorcontrib>HUANG WENSI</creatorcontrib><creatorcontrib>ZHANG JIANYONG</creatorcontrib><creatorcontrib>CHEN JING</creatorcontrib><creatorcontrib>YE QIANGBIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XUE YINGWEI</au><au>LOU MENGYAO</au><au>LU XIN</au><au>LIN CHAO</au><au>HU CONGZHONG</au><au>HUANG WENSI</au><au>ZHANG JIANYONG</au><au>CHEN JING</au><au>YE QIANGBIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Power distribution network fault prediction system and method based on big data technology</title><date>2021-01-22</date><risdate>2021</risdate><abstract>According to the power distribution network fault prediction system and method based on the big data technology, automatic access of mass data generated by power distribution network operation management is achieved through a data analysis domain of a big data platform, fusion and unification of professional data of scheduling, operation inspection and marketing are achieved, a basis is provided for supporting power distribution network fault diagnosis through the big data technology, power big data with larger volume and more types are used as analysis samples to predict the time distributionand space distribution of the electric power load, a basis is provided for planning design and power grid operation scheduling, and the accuracy and effectiveness of decision making are improved; power failure loss of the distribution network can be calculated more accurately through the fault diagnosis system, potential tapping and efficiency increasing are achieved through the big data technology, real-time information</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN112257937A |
| source | esp@cenet |
| subjects | CALCULATING 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 | Power distribution network fault prediction system and method based on big data technology |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T00%3A57%3A43IST&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=XUE%20YINGWEI&rft.date=2021-01-22&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112257937A%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 |