Transmission optical cable real-time alarm method and device based on deep learning algorithm
The invention discloses a transmission optical cable real-time alarm method and device based on a deep learning algorithm. The method comprises the steps of constructing an optical cable spatio-temporal data set of a transmission optical cable; performing spatio-temporal feature extraction on the op...
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 | QIU GUOLIANG CHEN JIANMIN GAO QIANG LUO LI TIAN ZHIFENG LIN NING WU QIAN YANG YANG LYU WEI ZHANG WEIXIAN REN JIANCHUAN |
| description | The invention discloses a transmission optical cable real-time alarm method and device based on a deep learning algorithm. The method comprises the steps of constructing an optical cable spatio-temporal data set of a transmission optical cable; performing spatio-temporal feature extraction on the optical cable spatio-temporal data set; performing vibration data prediction by using a long short-term memory network to obtain a vibration data prediction value; and comparing the obtained vibration data prediction value with a preset vibration data threshold value, and sending out an alarm signal when the vibration data prediction value is greater than the vibration data threshold value. According to the invention, the accuracy of vibration data prediction is improved, the condition monitoring of the transmission optical cable can be carried out more reliably, and the real-time alarm function of the transmission optical cable can be realized more accurately, so that a worker can take prevention or remedial measure |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN113869240A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN113869240A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN113869240A3</originalsourceid><addsrcrecordid>eNqNyzsKwkAURuFpLETdw3UBAWNEtJSgWFmllXAz8ye5MC9mBtdvChdgdZrvrNW7S-yzk5wleAqxiGZLmgcLSmBbFXEgtpwcOZQ5GGJvyOAjGjRwhqFlNEAkC05e_LTwKSQps9uq1cg2Y_frRu0f9659VoihR46s4VH69lXXzeV8PZ4Ot-Yf8wXf9Dv3</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Transmission optical cable real-time alarm method and device based on deep learning algorithm</title><source>esp@cenet</source><creator>QIU GUOLIANG ; CHEN JIANMIN ; GAO QIANG ; LUO LI ; TIAN ZHIFENG ; LIN NING ; WU QIAN ; YANG YANG ; LYU WEI ; ZHANG WEIXIAN ; REN JIANCHUAN</creator><creatorcontrib>QIU GUOLIANG ; CHEN JIANMIN ; GAO QIANG ; LUO LI ; TIAN ZHIFENG ; LIN NING ; WU QIAN ; YANG YANG ; LYU WEI ; ZHANG WEIXIAN ; REN JIANCHUAN</creatorcontrib><description>The invention discloses a transmission optical cable real-time alarm method and device based on a deep learning algorithm. The method comprises the steps of constructing an optical cable spatio-temporal data set of a transmission optical cable; performing spatio-temporal feature extraction on the optical cable spatio-temporal data set; performing vibration data prediction by using a long short-term memory network to obtain a vibration data prediction value; and comparing the obtained vibration data prediction value with a preset vibration data threshold value, and sending out an alarm signal when the vibration data prediction value is greater than the vibration data threshold value. According to the invention, the accuracy of vibration data prediction is improved, the condition monitoring of the transmission optical cable can be carried out more reliably, and the real-time alarm function of the transmission optical cable can be realized more accurately, so that a worker can take prevention or remedial measure</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES ; MEASURING ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; TESTING</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=20211231&DB=EPODOC&CC=CN&NR=113869240A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211231&DB=EPODOC&CC=CN&NR=113869240A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>QIU GUOLIANG</creatorcontrib><creatorcontrib>CHEN JIANMIN</creatorcontrib><creatorcontrib>GAO QIANG</creatorcontrib><creatorcontrib>LUO LI</creatorcontrib><creatorcontrib>TIAN ZHIFENG</creatorcontrib><creatorcontrib>LIN NING</creatorcontrib><creatorcontrib>WU QIAN</creatorcontrib><creatorcontrib>YANG YANG</creatorcontrib><creatorcontrib>LYU WEI</creatorcontrib><creatorcontrib>ZHANG WEIXIAN</creatorcontrib><creatorcontrib>REN JIANCHUAN</creatorcontrib><title>Transmission optical cable real-time alarm method and device based on deep learning algorithm</title><description>The invention discloses a transmission optical cable real-time alarm method and device based on a deep learning algorithm. The method comprises the steps of constructing an optical cable spatio-temporal data set of a transmission optical cable; performing spatio-temporal feature extraction on the optical cable spatio-temporal data set; performing vibration data prediction by using a long short-term memory network to obtain a vibration data prediction value; and comparing the obtained vibration data prediction value with a preset vibration data threshold value, and sending out an alarm signal when the vibration data prediction value is greater than the vibration data threshold value. According to the invention, the accuracy of vibration data prediction is improved, the condition monitoring of the transmission optical cable can be carried out more reliably, and the real-time alarm function of the transmission optical cable can be realized more accurately, so that a worker can take prevention or remedial measure</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>MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyzsKwkAURuFpLETdw3UBAWNEtJSgWFmllXAz8ye5MC9mBtdvChdgdZrvrNW7S-yzk5wleAqxiGZLmgcLSmBbFXEgtpwcOZQ5GGJvyOAjGjRwhqFlNEAkC05e_LTwKSQps9uq1cg2Y_frRu0f9659VoihR46s4VH69lXXzeV8PZ4Ot-Yf8wXf9Dv3</recordid><startdate>20211231</startdate><enddate>20211231</enddate><creator>QIU GUOLIANG</creator><creator>CHEN JIANMIN</creator><creator>GAO QIANG</creator><creator>LUO LI</creator><creator>TIAN ZHIFENG</creator><creator>LIN NING</creator><creator>WU QIAN</creator><creator>YANG YANG</creator><creator>LYU WEI</creator><creator>ZHANG WEIXIAN</creator><creator>REN JIANCHUAN</creator><scope>EVB</scope></search><sort><creationdate>20211231</creationdate><title>Transmission optical cable real-time alarm method and device based on deep learning algorithm</title><author>QIU GUOLIANG ; CHEN JIANMIN ; GAO QIANG ; LUO LI ; TIAN ZHIFENG ; LIN NING ; WU QIAN ; YANG YANG ; LYU WEI ; ZHANG WEIXIAN ; REN JIANCHUAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113869240A3</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>MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>QIU GUOLIANG</creatorcontrib><creatorcontrib>CHEN JIANMIN</creatorcontrib><creatorcontrib>GAO QIANG</creatorcontrib><creatorcontrib>LUO LI</creatorcontrib><creatorcontrib>TIAN ZHIFENG</creatorcontrib><creatorcontrib>LIN NING</creatorcontrib><creatorcontrib>WU QIAN</creatorcontrib><creatorcontrib>YANG YANG</creatorcontrib><creatorcontrib>LYU WEI</creatorcontrib><creatorcontrib>ZHANG WEIXIAN</creatorcontrib><creatorcontrib>REN JIANCHUAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>QIU GUOLIANG</au><au>CHEN JIANMIN</au><au>GAO QIANG</au><au>LUO LI</au><au>TIAN ZHIFENG</au><au>LIN NING</au><au>WU QIAN</au><au>YANG YANG</au><au>LYU WEI</au><au>ZHANG WEIXIAN</au><au>REN JIANCHUAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Transmission optical cable real-time alarm method and device based on deep learning algorithm</title><date>2021-12-31</date><risdate>2021</risdate><abstract>The invention discloses a transmission optical cable real-time alarm method and device based on a deep learning algorithm. The method comprises the steps of constructing an optical cable spatio-temporal data set of a transmission optical cable; performing spatio-temporal feature extraction on the optical cable spatio-temporal data set; performing vibration data prediction by using a long short-term memory network to obtain a vibration data prediction value; and comparing the obtained vibration data prediction value with a preset vibration data threshold value, and sending out an alarm signal when the vibration data prediction value is greater than the vibration data threshold value. According to the invention, the accuracy of vibration data prediction is improved, the condition monitoring of the transmission optical cable can be carried out more reliably, and the real-time alarm function of the transmission optical cable can be realized more accurately, so that a worker can take prevention or remedial measure</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN113869240A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES MEASURING PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS TESTING |
| title | Transmission optical cable real-time alarm method and device based on deep learning algorithm |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T05%3A18%3A34IST&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=QIU%20GUOLIANG&rft.date=2021-12-31&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN113869240A%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 |