High-speed rail roadbed state monitoring method and device based on self-energy-taking RFID and DCNN

According to the high-speed rail roadbed state monitoring method and device based on the self-energy-taking RFID and the DCNN, non-contact information transmission is carried out through the RFID, the reading speed is high, meanwhile, the anti-interference capacity is high, the arrangement defect th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CAO YOUXIA, TAO HONGCHEN, WANG TAO, DENG FANGMING, ZHANG SHIKANG, YANG XUE, YU HONGRU, YANG SHANGCHEN, XU RUI, LI ZHI, WANG PIN, LU YIN, LU LI
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 CAO YOUXIA
TAO HONGCHEN
WANG TAO
DENG FANGMING
ZHANG SHIKANG
YANG XUE
YU HONGRU
YANG SHANGCHEN
XU RUI
LI ZHI
WANG PIN
LU YIN
LU LI
description According to the high-speed rail roadbed state monitoring method and device based on the self-energy-taking RFID and the DCNN, non-contact information transmission is carried out through the RFID, the reading speed is high, meanwhile, the anti-interference capacity is high, the arrangement defect that an RFID sensor of a lithium battery is frequently replaced can be avoided through piezoelectric type vibration energy taking, the RFID tag is buried in the key position of the roadbed, and the monitoring accuracy is high. An RFID reader-writer on a mobile device or an inspection vehicle is used for data acquisition, DCNN is used for automatically learning and extracting features from original data, features are extracted layer by layer from low level to high level through multi-layer convolution and pooling operation, a Swsh activation function is introduced to optimize a convolution layer, and the feature extraction efficiency is improved. A hierarchical feature representation mode enables the model to capture
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118569291A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118569291A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118569291A3</originalsourceid><addsrcrecordid>eNqNy0EKwjAQheFsXIh6h_EAWVRR7FJSS91kIe7LtJmmwTZTkiB4e6t4AFePH763FKZytpdxIjIQ0A0QGE0zR0yYCEb2LnFw3sJIqWcD6A0YerqWoME4Q_YQaegkeQr2JRM-PvpWXouvLZTWa7HocIi0-e1KbMvLXVWSJq4pTtjO51QrnWWnwzHf5dl5_495AyOwPSQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>High-speed rail roadbed state monitoring method and device based on self-energy-taking RFID and DCNN</title><source>esp@cenet</source><creator>CAO YOUXIA ; TAO HONGCHEN ; WANG TAO ; DENG FANGMING ; ZHANG SHIKANG ; YANG XUE ; YU HONGRU ; YANG SHANGCHEN ; XU RUI ; LI ZHI ; WANG PIN ; LU YIN ; LU LI</creator><creatorcontrib>CAO YOUXIA ; TAO HONGCHEN ; WANG TAO ; DENG FANGMING ; ZHANG SHIKANG ; YANG XUE ; YU HONGRU ; YANG SHANGCHEN ; XU RUI ; LI ZHI ; WANG PIN ; LU YIN ; LU LI</creatorcontrib><description>According to the high-speed rail roadbed state monitoring method and device based on the self-energy-taking RFID and the DCNN, non-contact information transmission is carried out through the RFID, the reading speed is high, meanwhile, the anti-interference capacity is high, the arrangement defect that an RFID sensor of a lithium battery is frequently replaced can be avoided through piezoelectric type vibration energy taking, the RFID tag is buried in the key position of the roadbed, and the monitoring accuracy is high. An RFID reader-writer on a mobile device or an inspection vehicle is used for data acquisition, DCNN is used for automatically learning and extracting features from original data, features are extracted layer by layer from low level to high level through multi-layer convolution and pooling operation, a Swsh activation function is introduced to optimize a convolution layer, and the feature extraction efficiency is improved. A hierarchical feature representation mode enables the model to capture</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</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&amp;date=20240830&amp;DB=EPODOC&amp;CC=CN&amp;NR=118569291A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240830&amp;DB=EPODOC&amp;CC=CN&amp;NR=118569291A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CAO YOUXIA</creatorcontrib><creatorcontrib>TAO HONGCHEN</creatorcontrib><creatorcontrib>WANG TAO</creatorcontrib><creatorcontrib>DENG FANGMING</creatorcontrib><creatorcontrib>ZHANG SHIKANG</creatorcontrib><creatorcontrib>YANG XUE</creatorcontrib><creatorcontrib>YU HONGRU</creatorcontrib><creatorcontrib>YANG SHANGCHEN</creatorcontrib><creatorcontrib>XU RUI</creatorcontrib><creatorcontrib>LI ZHI</creatorcontrib><creatorcontrib>WANG PIN</creatorcontrib><creatorcontrib>LU YIN</creatorcontrib><creatorcontrib>LU LI</creatorcontrib><title>High-speed rail roadbed state monitoring method and device based on self-energy-taking RFID and DCNN</title><description>According to the high-speed rail roadbed state monitoring method and device based on the self-energy-taking RFID and the DCNN, non-contact information transmission is carried out through the RFID, the reading speed is high, meanwhile, the anti-interference capacity is high, the arrangement defect that an RFID sensor of a lithium battery is frequently replaced can be avoided through piezoelectric type vibration energy taking, the RFID tag is buried in the key position of the roadbed, and the monitoring accuracy is high. An RFID reader-writer on a mobile device or an inspection vehicle is used for data acquisition, DCNN is used for automatically learning and extracting features from original data, features are extracted layer by layer from low level to high level through multi-layer convolution and pooling operation, a Swsh activation function is introduced to optimize a convolution layer, and the feature extraction efficiency is improved. A hierarchical feature representation mode enables the model to capture</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>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNy0EKwjAQheFsXIh6h_EAWVRR7FJSS91kIe7LtJmmwTZTkiB4e6t4AFePH763FKZytpdxIjIQ0A0QGE0zR0yYCEb2LnFw3sJIqWcD6A0YerqWoME4Q_YQaegkeQr2JRM-PvpWXouvLZTWa7HocIi0-e1KbMvLXVWSJq4pTtjO51QrnWWnwzHf5dl5_495AyOwPSQ</recordid><startdate>20240830</startdate><enddate>20240830</enddate><creator>CAO YOUXIA</creator><creator>TAO HONGCHEN</creator><creator>WANG TAO</creator><creator>DENG FANGMING</creator><creator>ZHANG SHIKANG</creator><creator>YANG XUE</creator><creator>YU HONGRU</creator><creator>YANG SHANGCHEN</creator><creator>XU RUI</creator><creator>LI ZHI</creator><creator>WANG PIN</creator><creator>LU YIN</creator><creator>LU LI</creator><scope>EVB</scope></search><sort><creationdate>20240830</creationdate><title>High-speed rail roadbed state monitoring method and device based on self-energy-taking RFID and DCNN</title><author>CAO YOUXIA ; TAO HONGCHEN ; WANG TAO ; DENG FANGMING ; ZHANG SHIKANG ; YANG XUE ; YU HONGRU ; YANG SHANGCHEN ; XU RUI ; LI ZHI ; WANG PIN ; LU YIN ; LU LI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118569291A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</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>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>CAO YOUXIA</creatorcontrib><creatorcontrib>TAO HONGCHEN</creatorcontrib><creatorcontrib>WANG TAO</creatorcontrib><creatorcontrib>DENG FANGMING</creatorcontrib><creatorcontrib>ZHANG SHIKANG</creatorcontrib><creatorcontrib>YANG XUE</creatorcontrib><creatorcontrib>YU HONGRU</creatorcontrib><creatorcontrib>YANG SHANGCHEN</creatorcontrib><creatorcontrib>XU RUI</creatorcontrib><creatorcontrib>LI ZHI</creatorcontrib><creatorcontrib>WANG PIN</creatorcontrib><creatorcontrib>LU YIN</creatorcontrib><creatorcontrib>LU LI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CAO YOUXIA</au><au>TAO HONGCHEN</au><au>WANG TAO</au><au>DENG FANGMING</au><au>ZHANG SHIKANG</au><au>YANG XUE</au><au>YU HONGRU</au><au>YANG SHANGCHEN</au><au>XU RUI</au><au>LI ZHI</au><au>WANG PIN</au><au>LU YIN</au><au>LU LI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>High-speed rail roadbed state monitoring method and device based on self-energy-taking RFID and DCNN</title><date>2024-08-30</date><risdate>2024</risdate><abstract>According to the high-speed rail roadbed state monitoring method and device based on the self-energy-taking RFID and the DCNN, non-contact information transmission is carried out through the RFID, the reading speed is high, meanwhile, the anti-interference capacity is high, the arrangement defect that an RFID sensor of a lithium battery is frequently replaced can be avoided through piezoelectric type vibration energy taking, the RFID tag is buried in the key position of the roadbed, and the monitoring accuracy is high. An RFID reader-writer on a mobile device or an inspection vehicle is used for data acquisition, DCNN is used for automatically learning and extracting features from original data, features are extracted layer by layer from low level to high level through multi-layer convolution and pooling operation, a Swsh activation function is introduced to optimize a convolution layer, and the feature extraction efficiency is improved. A hierarchical feature representation mode enables the model to capture</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN118569291A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
title High-speed rail roadbed state monitoring method and device based on self-energy-taking RFID and DCNN
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T12%3A37%3A05IST&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=CAO%20YOUXIA&rft.date=2024-08-30&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118569291A%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