Method and system for detecting anomaly of power data of smart grid
The invention provides a smart grid power data anomaly detection method and system, and the method comprises the steps: S1, obtaining power data collected by a sensor node, and the power data comprises multi-dimensional feature data; s2, performing local anomaly detection according to the acquired p...
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 | HAO MEIWEI WANG XUQIANG DONG YANG SHAO MINGFANG YU HAITAO ZHANG ZIXUAN YANG YIFAN WANG KAI ZHANG QIANYI JIANG DAIRU BAO YONGDI GAO SHENG |
| description | The invention provides a smart grid power data anomaly detection method and system, and the method comprises the steps: S1, obtaining power data collected by a sensor node, and the power data comprises multi-dimensional feature data; s2, performing local anomaly detection according to the acquired power data to obtain a local anomaly detection result; s3, if the local anomaly detection result is abnormal, outputting that the power data detection result is local anomaly; if the local anomaly detection result is normal, further performing global anomaly detection on the power data to obtain a global anomaly detection result; s4, if the global anomaly detection result is normal, outputting that the power data detection result is normal; and if the global anomaly detection result is abnormal, outputting that the power data detection result is global anomaly. By means of local anomaly detection and global anomaly detection, the reliability and robustness of power data anomaly detection based on a large-scale power |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116613895A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116613895A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116613895A3</originalsourceid><addsrcrecordid>eNrjZHD2TS3JyE9RSMxLUSiuLC5JzVVIyy9SSEktSU0uycxLB0rk5ybmVCrkpykU5JenAqUSSxJBvOLcxKIShfSizBQeBta0xJziVF4ozc2g6OYa4uyhm1qQH59aXJCYnJqXWhLv7GdoaGZmaGxhaepoTIwaAEVGMgA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method and system for detecting anomaly of power data of smart grid</title><source>esp@cenet</source><creator>HAO MEIWEI ; WANG XUQIANG ; DONG YANG ; SHAO MINGFANG ; YU HAITAO ; ZHANG ZIXUAN ; YANG YIFAN ; WANG KAI ; ZHANG QIANYI ; JIANG DAIRU ; BAO YONGDI ; GAO SHENG</creator><creatorcontrib>HAO MEIWEI ; WANG XUQIANG ; DONG YANG ; SHAO MINGFANG ; YU HAITAO ; ZHANG ZIXUAN ; YANG YIFAN ; WANG KAI ; ZHANG QIANYI ; JIANG DAIRU ; BAO YONGDI ; GAO SHENG</creatorcontrib><description>The invention provides a smart grid power data anomaly detection method and system, and the method comprises the steps: S1, obtaining power data collected by a sensor node, and the power data comprises multi-dimensional feature data; s2, performing local anomaly detection according to the acquired power data to obtain a local anomaly detection result; s3, if the local anomaly detection result is abnormal, outputting that the power data detection result is local anomaly; if the local anomaly detection result is normal, further performing global anomaly detection on the power data to obtain a global anomaly detection result; s4, if the global anomaly detection result is normal, outputting that the power data detection result is normal; and if the global anomaly detection result is abnormal, outputting that the power data detection result is global anomaly. By means of local anomaly detection and global anomaly detection, the reliability and robustness of power data anomaly detection based on a large-scale power</description><language>chi ; eng</language><subject>ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS ; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; ELECTRICITY ; GENERATION ; MEASURING ; MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE ; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR ; PHYSICS ; SYSTEMS FOR STORING ELECTRIC ENERGY ; TARIFF METERING APPARATUS ; TESTING</subject><creationdate>2023</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=20230818&DB=EPODOC&CC=CN&NR=116613895A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230818&DB=EPODOC&CC=CN&NR=116613895A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HAO MEIWEI</creatorcontrib><creatorcontrib>WANG XUQIANG</creatorcontrib><creatorcontrib>DONG YANG</creatorcontrib><creatorcontrib>SHAO MINGFANG</creatorcontrib><creatorcontrib>YU HAITAO</creatorcontrib><creatorcontrib>ZHANG ZIXUAN</creatorcontrib><creatorcontrib>YANG YIFAN</creatorcontrib><creatorcontrib>WANG KAI</creatorcontrib><creatorcontrib>ZHANG QIANYI</creatorcontrib><creatorcontrib>JIANG DAIRU</creatorcontrib><creatorcontrib>BAO YONGDI</creatorcontrib><creatorcontrib>GAO SHENG</creatorcontrib><title>Method and system for detecting anomaly of power data of smart grid</title><description>The invention provides a smart grid power data anomaly detection method and system, and the method comprises the steps: S1, obtaining power data collected by a sensor node, and the power data comprises multi-dimensional feature data; s2, performing local anomaly detection according to the acquired power data to obtain a local anomaly detection result; s3, if the local anomaly detection result is abnormal, outputting that the power data detection result is local anomaly; if the local anomaly detection result is normal, further performing global anomaly detection on the power data to obtain a global anomaly detection result; s4, if the global anomaly detection result is normal, outputting that the power data detection result is normal; and if the global anomaly detection result is abnormal, outputting that the power data detection result is global anomaly. By means of local anomaly detection and global anomaly detection, the reliability and robustness of power data anomaly detection based on a large-scale power</description><subject>ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS</subject><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</subject><subject>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</subject><subject>ELECTRICITY</subject><subject>GENERATION</subject><subject>MEASURING</subject><subject>MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE</subject><subject>MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR</subject><subject>PHYSICS</subject><subject>SYSTEMS FOR STORING ELECTRIC ENERGY</subject><subject>TARIFF METERING APPARATUS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHD2TS3JyE9RSMxLUSiuLC5JzVVIyy9SSEktSU0uycxLB0rk5ybmVCrkpykU5JenAqUSSxJBvOLcxKIShfSizBQeBta0xJziVF4ozc2g6OYa4uyhm1qQH59aXJCYnJqXWhLv7GdoaGZmaGxhaepoTIwaAEVGMgA</recordid><startdate>20230818</startdate><enddate>20230818</enddate><creator>HAO MEIWEI</creator><creator>WANG XUQIANG</creator><creator>DONG YANG</creator><creator>SHAO MINGFANG</creator><creator>YU HAITAO</creator><creator>ZHANG ZIXUAN</creator><creator>YANG YIFAN</creator><creator>WANG KAI</creator><creator>ZHANG QIANYI</creator><creator>JIANG DAIRU</creator><creator>BAO YONGDI</creator><creator>GAO SHENG</creator><scope>EVB</scope></search><sort><creationdate>20230818</creationdate><title>Method and system for detecting anomaly of power data of smart grid</title><author>HAO MEIWEI ; WANG XUQIANG ; DONG YANG ; SHAO MINGFANG ; YU HAITAO ; ZHANG ZIXUAN ; YANG YIFAN ; WANG KAI ; ZHANG QIANYI ; JIANG DAIRU ; BAO YONGDI ; GAO SHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116613895A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS</topic><topic>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</topic><topic>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</topic><topic>ELECTRICITY</topic><topic>GENERATION</topic><topic>MEASURING</topic><topic>MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE</topic><topic>MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR</topic><topic>PHYSICS</topic><topic>SYSTEMS FOR STORING ELECTRIC ENERGY</topic><topic>TARIFF METERING APPARATUS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>HAO MEIWEI</creatorcontrib><creatorcontrib>WANG XUQIANG</creatorcontrib><creatorcontrib>DONG YANG</creatorcontrib><creatorcontrib>SHAO MINGFANG</creatorcontrib><creatorcontrib>YU HAITAO</creatorcontrib><creatorcontrib>ZHANG ZIXUAN</creatorcontrib><creatorcontrib>YANG YIFAN</creatorcontrib><creatorcontrib>WANG KAI</creatorcontrib><creatorcontrib>ZHANG QIANYI</creatorcontrib><creatorcontrib>JIANG DAIRU</creatorcontrib><creatorcontrib>BAO YONGDI</creatorcontrib><creatorcontrib>GAO SHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HAO MEIWEI</au><au>WANG XUQIANG</au><au>DONG YANG</au><au>SHAO MINGFANG</au><au>YU HAITAO</au><au>ZHANG ZIXUAN</au><au>YANG YIFAN</au><au>WANG KAI</au><au>ZHANG QIANYI</au><au>JIANG DAIRU</au><au>BAO YONGDI</au><au>GAO SHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and system for detecting anomaly of power data of smart grid</title><date>2023-08-18</date><risdate>2023</risdate><abstract>The invention provides a smart grid power data anomaly detection method and system, and the method comprises the steps: S1, obtaining power data collected by a sensor node, and the power data comprises multi-dimensional feature data; s2, performing local anomaly detection according to the acquired power data to obtain a local anomaly detection result; s3, if the local anomaly detection result is abnormal, outputting that the power data detection result is local anomaly; if the local anomaly detection result is normal, further performing global anomaly detection on the power data to obtain a global anomaly detection result; s4, if the global anomaly detection result is normal, outputting that the power data detection result is normal; and if the global anomaly detection result is abnormal, outputting that the power data detection result is global anomaly. By means of local anomaly detection and global anomaly detection, the reliability and robustness of power data anomaly detection based on a large-scale power</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN116613895A |
| source | esp@cenet |
| subjects | ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION MEASURING MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY TARIFF METERING APPARATUS TESTING |
| title | Method and system for detecting anomaly of power data of smart grid |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T15%3A37%3A21IST&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=HAO%20MEIWEI&rft.date=2023-08-18&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116613895A%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 |