Power production abnormity monitoring method and device, computer equipment and storage medium

The invention relates to a power production abnormity monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a working scene image acquired by a camera arranged on a power production site; inputting the working scene image into a pr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: HUANG FAMAN, LU YONG, LYU ZHIPENG, ZHANG HAO, CHEN MAN, LI JIANHUI, LU CHUANDE, GONG YU, JING ZENGMING, LIN KAI, WANG ZHIQIANG, HAN YULIN, LIU TAO
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 HUANG FAMAN
LU YONG
LYU ZHIPENG
ZHANG HAO
CHEN MAN
LI JIANHUI
LU CHUANDE
GONG YU
JING ZENGMING
LIN KAI
WANG ZHIQIANG
HAN YULIN
LIU TAO
description The invention relates to a power production abnormity monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a working scene image acquired by a camera arranged on a power production site; inputting the working scene image into a pre-trained detection model according to the detection frequency of the standing book object corresponding to the working scene image to obtain an anomaly detection result; when a detection result of the abnormality of the power production field is obtained according to the detection model, calling a corresponding secondary abnormality detection model according to the abnormality type to carry out secondary detection on the work field; and if the secondary detection is still abnormal, sending an abnormal alarm. According to the method, the detection accuracy can be improved, the false alarm rate is reduced, the secondary identification of water and oil leakage is different from the monitoring network of the first ide
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112669316A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112669316A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112669316A3</originalsourceid><addsrcrecordid>eNqNyzEKAjEQheFtLES9w9hrsS4ELGVRrMTC2iUm4zpgZmJ2onh7g3gAq1f87xtX56O8MEFM4rNTEgZ7YUmB9A1BmFQScQ8B9SYeLHvw-CSHC3ASYtZi8ZEpBmT95qEI22MRnnKYVqOrvQ84--2kmu-2p3a_xCgdDtE6ZNSuPdT1yph1U5tN88_nA7ErPVo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Power production abnormity monitoring method and device, computer equipment and storage medium</title><source>esp@cenet</source><creator>HUANG FAMAN ; LU YONG ; LYU ZHIPENG ; ZHANG HAO ; CHEN MAN ; LI JIANHUI ; LU CHUANDE ; GONG YU ; JING ZENGMING ; LIN KAI ; WANG ZHIQIANG ; HAN YULIN ; LIU TAO</creator><creatorcontrib>HUANG FAMAN ; LU YONG ; LYU ZHIPENG ; ZHANG HAO ; CHEN MAN ; LI JIANHUI ; LU CHUANDE ; GONG YU ; JING ZENGMING ; LIN KAI ; WANG ZHIQIANG ; HAN YULIN ; LIU TAO</creatorcontrib><description>The invention relates to a power production abnormity monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a working scene image acquired by a camera arranged on a power production site; inputting the working scene image into a pre-trained detection model according to the detection frequency of the standing book object corresponding to the working scene image to obtain an anomaly detection result; when a detection result of the abnormality of the power production field is obtained according to the detection model, calling a corresponding secondary abnormality detection model according to the abnormality type to carry out secondary detection on the work field; and if the secondary detection is still abnormal, sending an abnormal alarm. According to the method, the detection accuracy can be improved, the false alarm rate is reduced, the secondary identification of water and oil leakage is different from the monitoring network of the first ide</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</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&amp;date=20210416&amp;DB=EPODOC&amp;CC=CN&amp;NR=112669316A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210416&amp;DB=EPODOC&amp;CC=CN&amp;NR=112669316A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUANG FAMAN</creatorcontrib><creatorcontrib>LU YONG</creatorcontrib><creatorcontrib>LYU ZHIPENG</creatorcontrib><creatorcontrib>ZHANG HAO</creatorcontrib><creatorcontrib>CHEN MAN</creatorcontrib><creatorcontrib>LI JIANHUI</creatorcontrib><creatorcontrib>LU CHUANDE</creatorcontrib><creatorcontrib>GONG YU</creatorcontrib><creatorcontrib>JING ZENGMING</creatorcontrib><creatorcontrib>LIN KAI</creatorcontrib><creatorcontrib>WANG ZHIQIANG</creatorcontrib><creatorcontrib>HAN YULIN</creatorcontrib><creatorcontrib>LIU TAO</creatorcontrib><title>Power production abnormity monitoring method and device, computer equipment and storage medium</title><description>The invention relates to a power production abnormity monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a working scene image acquired by a camera arranged on a power production site; inputting the working scene image into a pre-trained detection model according to the detection frequency of the standing book object corresponding to the working scene image to obtain an anomaly detection result; when a detection result of the abnormality of the power production field is obtained according to the detection model, calling a corresponding secondary abnormality detection model according to the abnormality type to carry out secondary detection on the work field; and if the secondary detection is still abnormal, sending an abnormal alarm. According to the method, the detection accuracy can be improved, the false alarm rate is reduced, the secondary identification of water and oil leakage is different from the monitoring network of the first ide</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyzEKAjEQheFtLES9w9hrsS4ELGVRrMTC2iUm4zpgZmJ2onh7g3gAq1f87xtX56O8MEFM4rNTEgZ7YUmB9A1BmFQScQ8B9SYeLHvw-CSHC3ASYtZi8ZEpBmT95qEI22MRnnKYVqOrvQ84--2kmu-2p3a_xCgdDtE6ZNSuPdT1yph1U5tN88_nA7ErPVo</recordid><startdate>20210416</startdate><enddate>20210416</enddate><creator>HUANG FAMAN</creator><creator>LU YONG</creator><creator>LYU ZHIPENG</creator><creator>ZHANG HAO</creator><creator>CHEN MAN</creator><creator>LI JIANHUI</creator><creator>LU CHUANDE</creator><creator>GONG YU</creator><creator>JING ZENGMING</creator><creator>LIN KAI</creator><creator>WANG ZHIQIANG</creator><creator>HAN YULIN</creator><creator>LIU TAO</creator><scope>EVB</scope></search><sort><creationdate>20210416</creationdate><title>Power production abnormity monitoring method and device, computer equipment and storage medium</title><author>HUANG FAMAN ; LU YONG ; LYU ZHIPENG ; ZHANG HAO ; CHEN MAN ; LI JIANHUI ; LU CHUANDE ; GONG YU ; JING ZENGMING ; LIN KAI ; WANG ZHIQIANG ; HAN YULIN ; LIU TAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112669316A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>HUANG FAMAN</creatorcontrib><creatorcontrib>LU YONG</creatorcontrib><creatorcontrib>LYU ZHIPENG</creatorcontrib><creatorcontrib>ZHANG HAO</creatorcontrib><creatorcontrib>CHEN MAN</creatorcontrib><creatorcontrib>LI JIANHUI</creatorcontrib><creatorcontrib>LU CHUANDE</creatorcontrib><creatorcontrib>GONG YU</creatorcontrib><creatorcontrib>JING ZENGMING</creatorcontrib><creatorcontrib>LIN KAI</creatorcontrib><creatorcontrib>WANG ZHIQIANG</creatorcontrib><creatorcontrib>HAN YULIN</creatorcontrib><creatorcontrib>LIU TAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUANG FAMAN</au><au>LU YONG</au><au>LYU ZHIPENG</au><au>ZHANG HAO</au><au>CHEN MAN</au><au>LI JIANHUI</au><au>LU CHUANDE</au><au>GONG YU</au><au>JING ZENGMING</au><au>LIN KAI</au><au>WANG ZHIQIANG</au><au>HAN YULIN</au><au>LIU TAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Power production abnormity monitoring method and device, computer equipment and storage medium</title><date>2021-04-16</date><risdate>2021</risdate><abstract>The invention relates to a power production abnormity monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a working scene image acquired by a camera arranged on a power production site; inputting the working scene image into a pre-trained detection model according to the detection frequency of the standing book object corresponding to the working scene image to obtain an anomaly detection result; when a detection result of the abnormality of the power production field is obtained according to the detection model, calling a corresponding secondary abnormality detection model according to the abnormality type to carry out secondary detection on the work field; and if the secondary detection is still abnormal, sending an abnormal alarm. According to the method, the detection accuracy can be improved, the false alarm rate is reduced, the secondary identification of water and oil leakage is different from the monitoring network of the first ide</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN112669316A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
title Power production abnormity monitoring method and device, computer equipment and storage medium
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T10%3A58%3A31IST&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=HUANG%20FAMAN&rft.date=2021-04-16&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112669316A%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