Phase change heat storage capacity monitoring system and method based on neural network

The invention discloses a neural network-based phase change heat storage quantity monitoring system, which comprises a phase change heat storage device, and is characterized in that the phase change heat storage device comprises a sealed shell and a phase change material located in the shell, and a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: HUO DA, YANG DONGFANG, SHEN RENDONG, ZHAO JUN, ZHENG RUIFAN, WEN XIN
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 HUO DA
YANG DONGFANG
SHEN RENDONG
ZHAO JUN
ZHENG RUIFAN
WEN XIN
description The invention discloses a neural network-based phase change heat storage quantity monitoring system, which comprises a phase change heat storage device, and is characterized in that the phase change heat storage device comprises a sealed shell and a phase change material located in the shell, and a heat exchange pipeline for heat exchange is arranged in the phase change material; the phase change material is a solid-liquid phase change material; the system further comprises a detection system and a heat storage capacity prediction system. The detection system comprises a pressure sensor and a plurality of temperature sensors; the shell is filled with gas which does not chemically react with the phase change material, and the pressure sensor is used for measuring the pressure of the gas; the temperature sensor is used for measuring the temperature of the phase change material at different positions in the shell; the heat storage capacity prediction system is constructed based on a neural network, is trained by
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114894346A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114894346A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114894346A3</originalsourceid><addsrcrecordid>eNrjZAgPyEgsTlVIzkjMS09VyEhNLFEoLskvSgRykhMLEpMzSyoVcvPzMoFimXnpCsWVxSWpuQqJeSkKuaklGfkpCklA7SkK-XkKeamlRYk5QKqkPL8om4eBNS0xpziVF0pzMyi6uYY4e-imFuTHpxYDTU4Fqox39jM0NLGwNDE2MXM0JkYNAGTROhY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Phase change heat storage capacity monitoring system and method based on neural network</title><source>esp@cenet</source><creator>HUO DA ; YANG DONGFANG ; SHEN RENDONG ; ZHAO JUN ; ZHENG RUIFAN ; WEN XIN</creator><creatorcontrib>HUO DA ; YANG DONGFANG ; SHEN RENDONG ; ZHAO JUN ; ZHENG RUIFAN ; WEN XIN</creatorcontrib><description>The invention discloses a neural network-based phase change heat storage quantity monitoring system, which comprises a phase change heat storage device, and is characterized in that the phase change heat storage device comprises a sealed shell and a phase change material located in the shell, and a heat exchange pipeline for heat exchange is arranged in the phase change material; the phase change material is a solid-liquid phase change material; the system further comprises a detection system and a heat storage capacity prediction system. The detection system comprises a pressure sensor and a plurality of temperature sensors; the shell is filled with gas which does not chemically react with the phase change material, and the pressure sensor is used for measuring the pressure of the gas; the temperature sensor is used for measuring the temperature of the phase change material at different positions in the shell; the heat storage capacity prediction system is constructed based on a neural network, is trained by</description><language>chi ; eng</language><subject>MEASURING ; MEASURING QUANTITY OF HEAT ; MEASURING TEMPERATURE ; PHYSICS ; TESTING ; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</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=20220812&amp;DB=EPODOC&amp;CC=CN&amp;NR=114894346A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220812&amp;DB=EPODOC&amp;CC=CN&amp;NR=114894346A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUO DA</creatorcontrib><creatorcontrib>YANG DONGFANG</creatorcontrib><creatorcontrib>SHEN RENDONG</creatorcontrib><creatorcontrib>ZHAO JUN</creatorcontrib><creatorcontrib>ZHENG RUIFAN</creatorcontrib><creatorcontrib>WEN XIN</creatorcontrib><title>Phase change heat storage capacity monitoring system and method based on neural network</title><description>The invention discloses a neural network-based phase change heat storage quantity monitoring system, which comprises a phase change heat storage device, and is characterized in that the phase change heat storage device comprises a sealed shell and a phase change material located in the shell, and a heat exchange pipeline for heat exchange is arranged in the phase change material; the phase change material is a solid-liquid phase change material; the system further comprises a detection system and a heat storage capacity prediction system. The detection system comprises a pressure sensor and a plurality of temperature sensors; the shell is filled with gas which does not chemically react with the phase change material, and the pressure sensor is used for measuring the pressure of the gas; the temperature sensor is used for measuring the temperature of the phase change material at different positions in the shell; the heat storage capacity prediction system is constructed based on a neural network, is trained by</description><subject>MEASURING</subject><subject>MEASURING QUANTITY OF HEAT</subject><subject>MEASURING TEMPERATURE</subject><subject>PHYSICS</subject><subject>TESTING</subject><subject>THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAgPyEgsTlVIzkjMS09VyEhNLFEoLskvSgRykhMLEpMzSyoVcvPzMoFimXnpCsWVxSWpuQqJeSkKuaklGfkpCklA7SkK-XkKeamlRYk5QKqkPL8om4eBNS0xpziVF0pzMyi6uYY4e-imFuTHpxYDTU4Fqox39jM0NLGwNDE2MXM0JkYNAGTROhY</recordid><startdate>20220812</startdate><enddate>20220812</enddate><creator>HUO DA</creator><creator>YANG DONGFANG</creator><creator>SHEN RENDONG</creator><creator>ZHAO JUN</creator><creator>ZHENG RUIFAN</creator><creator>WEN XIN</creator><scope>EVB</scope></search><sort><creationdate>20220812</creationdate><title>Phase change heat storage capacity monitoring system and method based on neural network</title><author>HUO DA ; YANG DONGFANG ; SHEN RENDONG ; ZHAO JUN ; ZHENG RUIFAN ; WEN XIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114894346A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>MEASURING</topic><topic>MEASURING QUANTITY OF HEAT</topic><topic>MEASURING TEMPERATURE</topic><topic>PHYSICS</topic><topic>TESTING</topic><topic>THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>HUO DA</creatorcontrib><creatorcontrib>YANG DONGFANG</creatorcontrib><creatorcontrib>SHEN RENDONG</creatorcontrib><creatorcontrib>ZHAO JUN</creatorcontrib><creatorcontrib>ZHENG RUIFAN</creatorcontrib><creatorcontrib>WEN XIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUO DA</au><au>YANG DONGFANG</au><au>SHEN RENDONG</au><au>ZHAO JUN</au><au>ZHENG RUIFAN</au><au>WEN XIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Phase change heat storage capacity monitoring system and method based on neural network</title><date>2022-08-12</date><risdate>2022</risdate><abstract>The invention discloses a neural network-based phase change heat storage quantity monitoring system, which comprises a phase change heat storage device, and is characterized in that the phase change heat storage device comprises a sealed shell and a phase change material located in the shell, and a heat exchange pipeline for heat exchange is arranged in the phase change material; the phase change material is a solid-liquid phase change material; the system further comprises a detection system and a heat storage capacity prediction system. The detection system comprises a pressure sensor and a plurality of temperature sensors; the shell is filled with gas which does not chemically react with the phase change material, and the pressure sensor is used for measuring the pressure of the gas; the temperature sensor is used for measuring the temperature of the phase change material at different positions in the shell; the heat storage capacity prediction system is constructed based on a neural network, is trained by</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN114894346A
source esp@cenet
subjects MEASURING
MEASURING QUANTITY OF HEAT
MEASURING TEMPERATURE
PHYSICS
TESTING
THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
title Phase change heat storage capacity monitoring system and method based on neural network
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T01%3A55%3A26IST&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=HUO%20DA&rft.date=2022-08-12&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114894346A%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