Dry quenching system circulating fan modeling method based on mechanism and data fusion
The invention relates to a dry quenching system circulating fan modeling method based on mechanism and data fusion, and the method comprises the steps: obtaining and preprocessing data, building a physical information neural network (PINN) model of a circulating fan, building the physical informatio...
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| creator | SHAN YUAN LIU BEIYAN |
| description | The invention relates to a dry quenching system circulating fan modeling method based on mechanism and data fusion, and the method comprises the steps: obtaining and preprocessing data, building a physical information neural network (PINN) model of a circulating fan, building the physical information neural network (PINN) model, embedding an ordinary differential equation set of the circulating fan into a neural network structure, and carrying out the modeling of the circulating fan. Training and optimizing the model: adjusting parameters of the neural network through a back propagation algorithm, minimizing the loss function, and performing model fitting by using historical data in the training process so as to learn dynamic characteristics and physical laws of the circulating fan system, model effect verification and model practical application; according to the method, the circulating fan system is efficiently solved, the optimization problem possibly encountered in the operation process of the circulating |
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Training and optimizing the model: adjusting parameters of the neural network through a back propagation algorithm, minimizing the loss function, and performing model fitting by using historical data in the training process so as to learn dynamic characteristics and physical laws of the circulating fan system, model effect verification and model practical application; according to the method, the circulating fan system is efficiently solved, the optimization problem possibly encountered in the operation process of the circulating</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</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&date=20240903&DB=EPODOC&CC=CN&NR=118586287A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240903&DB=EPODOC&CC=CN&NR=118586287A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SHAN YUAN</creatorcontrib><creatorcontrib>LIU BEIYAN</creatorcontrib><title>Dry quenching system circulating fan modeling method based on mechanism and data fusion</title><description>The invention relates to a dry quenching system circulating fan modeling method based on mechanism and data fusion, and the method comprises the steps: obtaining and preprocessing data, building a physical information neural network (PINN) model of a circulating fan, building the physical information neural network (PINN) model, embedding an ordinary differential equation set of the circulating fan into a neural network structure, and carrying out the modeling of the circulating fan. Training and optimizing the model: adjusting parameters of the neural network through a back propagation algorithm, minimizing the loss function, and performing model fitting by using historical data in the training process so as to learn dynamic characteristics and physical laws of the circulating fan system, model effect verification and model practical application; according to the method, the circulating fan system is efficiently solved, the optimization problem possibly encountered in the operation process of the circulating</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNijEOwjAQBN1QIOAPxwMoAgLcogCiokKijA77EluyzyFnF_k9ROIBVKuZ2bl6nocR3oXYOM8dyCiZIhg_mBIwT6pFhpgshQkiZZcsvFDIQvoGMg7ZSwRkCxYzQlvEJ16qWYtBaPXbhVpfL4_6tqE-NSQ9GmLKTX2vKr3Xh60-nnb_fD5ohTn8</recordid><startdate>20240903</startdate><enddate>20240903</enddate><creator>SHAN YUAN</creator><creator>LIU BEIYAN</creator><scope>EVB</scope></search><sort><creationdate>20240903</creationdate><title>Dry quenching system circulating fan modeling method based on mechanism and data fusion</title><author>SHAN YUAN ; LIU BEIYAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118586287A3</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>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SHAN YUAN</creatorcontrib><creatorcontrib>LIU BEIYAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SHAN YUAN</au><au>LIU BEIYAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Dry quenching system circulating fan modeling method based on mechanism and data fusion</title><date>2024-09-03</date><risdate>2024</risdate><abstract>The invention relates to a dry quenching system circulating fan modeling method based on mechanism and data fusion, and the method comprises the steps: obtaining and preprocessing data, building a physical information neural network (PINN) model of a circulating fan, building the physical information neural network (PINN) model, embedding an ordinary differential equation set of the circulating fan into a neural network structure, and carrying out the modeling of the circulating fan. Training and optimizing the model: adjusting parameters of the neural network through a back propagation algorithm, minimizing the loss function, and performing model fitting by using historical data in the training process so as to learn dynamic characteristics and physical laws of the circulating fan system, model effect verification and model practical application; according to the method, the circulating fan system is efficiently solved, the optimization problem possibly encountered in the operation process of the circulating</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Dry quenching system circulating fan modeling method based on mechanism and data fusion |
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