RESIN PHYSICAL PROPERTY VALUE PREDICTION DEVICE, LEARNING DEVICE, AND RESIN PHYSICAL PROPERTY VALUE PREDICTION METHOD
To accurately calculate physical properties of a resin composition in short time.SOLUTION: A resin physical property value prediction device includes: an acquisition part for acquiring spectral data obtained by measuring a resin composition by a spectral sensor, in a process of performing a resin po...
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creator | TERAUCHI KAZUTOSHI KANEKO HIROMASA YAMAKAGE SHUTO YAMAJI TOSHINORI |
description | To accurately calculate physical properties of a resin composition in short time.SOLUTION: A resin physical property value prediction device includes: an acquisition part for acquiring spectral data obtained by measuring a resin composition by a spectral sensor, in a process of performing a resin polymerization reaction by a batch type reaction tank; and a calculation part for calculating a resin physical property value of the resin composition having the spectral data acquired by the acquisition part, using the spectral data obtained by previously measuring the resin composition, and a learned model obtained by learning a resin physical property value as teacher data.SELECTED DRAWING: Figure 7
【課題】短時間で、精度よく樹脂組成物の物性を算出する。【解決手段】樹脂物性値予測装置は、バッチ式反応槽により樹脂重合反応を行うプロセスにおいて樹脂組成物を分光センサにより測定した結果得られるスペクトルデータを取得する取得部と、予め樹脂組成物を測定したスペクトルデータと、樹脂物性値とを教師データとして学習された学習済みモデルを用いて、前記取得部により取得されたスペクトルデータを有する樹脂組成物の樹脂物性値を算出する算出部とを備える。【選択図】図7 |
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【課題】短時間で、精度よく樹脂組成物の物性を算出する。【解決手段】樹脂物性値予測装置は、バッチ式反応槽により樹脂重合反応を行うプロセスにおいて樹脂組成物を分光センサにより測定した結果得られるスペクトルデータを取得する取得部と、予め樹脂組成物を測定したスペクトルデータと、樹脂物性値とを教師データとして学習された学習済みモデルを用いて、前記取得部により取得されたスペクトルデータを有する樹脂組成物の樹脂物性値を算出する算出部とを備える。【選択図】図7</description><language>eng ; jpn</language><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; PHYSICS ; 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=20230927&DB=EPODOC&CC=JP&NR=2023134247A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230927&DB=EPODOC&CC=JP&NR=2023134247A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TERAUCHI KAZUTOSHI</creatorcontrib><creatorcontrib>KANEKO HIROMASA</creatorcontrib><creatorcontrib>YAMAKAGE SHUTO</creatorcontrib><creatorcontrib>YAMAJI TOSHINORI</creatorcontrib><title>RESIN PHYSICAL PROPERTY VALUE PREDICTION DEVICE, LEARNING DEVICE, AND RESIN PHYSICAL PROPERTY VALUE PREDICTION METHOD</title><description>To accurately calculate physical properties of a resin composition in short time.SOLUTION: A resin physical property value prediction device includes: an acquisition part for acquiring spectral data obtained by measuring a resin composition by a spectral sensor, in a process of performing a resin polymerization reaction by a batch type reaction tank; and a calculation part for calculating a resin physical property value of the resin composition having the spectral data acquired by the acquisition part, using the spectral data obtained by previously measuring the resin composition, and a learned model obtained by learning a resin physical property value as teacher data.SELECTED DRAWING: Figure 7
【課題】短時間で、精度よく樹脂組成物の物性を算出する。【解決手段】樹脂物性値予測装置は、バッチ式反応槽により樹脂重合反応を行うプロセスにおいて樹脂組成物を分光センサにより測定した結果得られるスペクトルデータを取得する取得部と、予め樹脂組成物を測定したスペクトルデータと、樹脂物性値とを教師データとして学習された学習済みモデルを用いて、前記取得部により取得されたスペクトルデータを有する樹脂組成物の樹脂物性値を算出する算出部とを備える。【選択図】図7</description><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZCgNcg329FMI8IgM9nR29FEICPIPcA0KiVQIc_QJdQVyXV08nUM8_f0UXFzDPJ1ddRR8XB2D_Dz93OECjn4uCkSb4usa4uHvwsPAmpaYU5zKC6W5GZTcXEOcPXRTC_LjU4sLEpNT81JL4r0CjAyMjA2NTYxMzB2NiVIEAH0IOcY</recordid><startdate>20230927</startdate><enddate>20230927</enddate><creator>TERAUCHI KAZUTOSHI</creator><creator>KANEKO HIROMASA</creator><creator>YAMAKAGE SHUTO</creator><creator>YAMAJI TOSHINORI</creator><scope>EVB</scope></search><sort><creationdate>20230927</creationdate><title>RESIN PHYSICAL PROPERTY VALUE PREDICTION DEVICE, LEARNING DEVICE, AND RESIN PHYSICAL PROPERTY VALUE PREDICTION METHOD</title><author>TERAUCHI KAZUTOSHI ; KANEKO HIROMASA ; YAMAKAGE SHUTO ; YAMAJI TOSHINORI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2023134247A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2023</creationdate><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>TERAUCHI KAZUTOSHI</creatorcontrib><creatorcontrib>KANEKO HIROMASA</creatorcontrib><creatorcontrib>YAMAKAGE SHUTO</creatorcontrib><creatorcontrib>YAMAJI TOSHINORI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>TERAUCHI KAZUTOSHI</au><au>KANEKO HIROMASA</au><au>YAMAKAGE SHUTO</au><au>YAMAJI TOSHINORI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>RESIN PHYSICAL PROPERTY VALUE PREDICTION DEVICE, LEARNING DEVICE, AND RESIN PHYSICAL PROPERTY VALUE PREDICTION METHOD</title><date>2023-09-27</date><risdate>2023</risdate><abstract>To accurately calculate physical properties of a resin composition in short time.SOLUTION: A resin physical property value prediction device includes: an acquisition part for acquiring spectral data obtained by measuring a resin composition by a spectral sensor, in a process of performing a resin polymerization reaction by a batch type reaction tank; and a calculation part for calculating a resin physical property value of the resin composition having the spectral data acquired by the acquisition part, using the spectral data obtained by previously measuring the resin composition, and a learned model obtained by learning a resin physical property value as teacher data.SELECTED DRAWING: Figure 7
【課題】短時間で、精度よく樹脂組成物の物性を算出する。【解決手段】樹脂物性値予測装置は、バッチ式反応槽により樹脂重合反応を行うプロセスにおいて樹脂組成物を分光センサにより測定した結果得られるスペクトルデータを取得する取得部と、予め樹脂組成物を測定したスペクトルデータと、樹脂物性値とを教師データとして学習された学習済みモデルを用いて、前記取得部により取得されたスペクトルデータを有する樹脂組成物の樹脂物性値を算出する算出部とを備える。【選択図】図7</abstract><oa>free_for_read</oa></addata></record> |
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subjects | INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS TESTING |
title | RESIN PHYSICAL PROPERTY VALUE PREDICTION DEVICE, LEARNING DEVICE, AND RESIN PHYSICAL PROPERTY VALUE PREDICTION METHOD |
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