Catalytic cracking yield prediction method based on Matlab and Excel

Provided is a catalytic cracking yield prediction method based on Matlab and Excel. Historical catalytic cracking raw material property analysis and historical yield data in a device production process are used, and correlation coefficients are built for dry gas, liquefied gas, gasoline, diesel, slu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: HUANG ZHENYU, DENG BAOYONG, YAN YU, LI WEIWEI
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 HUANG ZHENYU
DENG BAOYONG
YAN YU
LI WEIWEI
description Provided is a catalytic cracking yield prediction method based on Matlab and Excel. Historical catalytic cracking raw material property analysis and historical yield data in a device production process are used, and correlation coefficients are built for dry gas, liquefied gas, gasoline, diesel, slurry oil and coke respectively to obtain a yield prediction model; an Excel language is used for proposing a yield prediction model expression, and when the catalytic cracking raw material properties change, the built yield prediction model is used for predicting the catalytic cracking yields of thedry gas, the liquefied gas, the gasoline, the diesel, the slurry oil and the coke separately. According to the method, under the condition that the catalytic cracking reaction temperature and the catalyst variety do not change, the catalytic cracking yields can be fast predicted according to change of the catalytic cracking raw material properties, and an accurate calculation basis is provided forselecting suitable raw ma
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN107958137A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN107958137A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN107958137A3</originalsourceid><addsrcrecordid>eNrjZHBxTixJzKksyUxWSC5KTM7OzEtXqMxMzUlRKChKTclMLsnMz1PITS3JyE9RSEosTk1RAPJ9E0tyEpMUEvNSFFwrklNzeBhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoYG5pamFobG5ozExagCJfTJX</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Catalytic cracking yield prediction method based on Matlab and Excel</title><source>esp@cenet</source><creator>HUANG ZHENYU ; DENG BAOYONG ; YAN YU ; LI WEIWEI</creator><creatorcontrib>HUANG ZHENYU ; DENG BAOYONG ; YAN YU ; LI WEIWEI</creatorcontrib><description>Provided is a catalytic cracking yield prediction method based on Matlab and Excel. Historical catalytic cracking raw material property analysis and historical yield data in a device production process are used, and correlation coefficients are built for dry gas, liquefied gas, gasoline, diesel, slurry oil and coke respectively to obtain a yield prediction model; an Excel language is used for proposing a yield prediction model expression, and when the catalytic cracking raw material properties change, the built yield prediction model is used for predicting the catalytic cracking yields of thedry gas, the liquefied gas, the gasoline, the diesel, the slurry oil and the coke separately. According to the method, under the condition that the catalytic cracking reaction temperature and the catalyst variety do not change, the catalytic cracking yields can be fast predicted according to change of the catalytic cracking raw material properties, and an accurate calculation basis is provided forselecting suitable raw ma</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</subject><creationdate>2018</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=20180424&amp;DB=EPODOC&amp;CC=CN&amp;NR=107958137A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20180424&amp;DB=EPODOC&amp;CC=CN&amp;NR=107958137A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUANG ZHENYU</creatorcontrib><creatorcontrib>DENG BAOYONG</creatorcontrib><creatorcontrib>YAN YU</creatorcontrib><creatorcontrib>LI WEIWEI</creatorcontrib><title>Catalytic cracking yield prediction method based on Matlab and Excel</title><description>Provided is a catalytic cracking yield prediction method based on Matlab and Excel. Historical catalytic cracking raw material property analysis and historical yield data in a device production process are used, and correlation coefficients are built for dry gas, liquefied gas, gasoline, diesel, slurry oil and coke respectively to obtain a yield prediction model; an Excel language is used for proposing a yield prediction model expression, and when the catalytic cracking raw material properties change, the built yield prediction model is used for predicting the catalytic cracking yields of thedry gas, the liquefied gas, the gasoline, the diesel, the slurry oil and the coke separately. According to the method, under the condition that the catalytic cracking reaction temperature and the catalyst variety do not change, the catalytic cracking yields can be fast predicted according to change of the catalytic cracking raw material properties, and an accurate calculation basis is provided forselecting suitable raw ma</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2018</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHBxTixJzKksyUxWSC5KTM7OzEtXqMxMzUlRKChKTclMLsnMz1PITS3JyE9RSEosTk1RAPJ9E0tyEpMUEvNSFFwrklNzeBhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoYG5pamFobG5ozExagCJfTJX</recordid><startdate>20180424</startdate><enddate>20180424</enddate><creator>HUANG ZHENYU</creator><creator>DENG BAOYONG</creator><creator>YAN YU</creator><creator>LI WEIWEI</creator><scope>EVB</scope></search><sort><creationdate>20180424</creationdate><title>Catalytic cracking yield prediction method based on Matlab and Excel</title><author>HUANG ZHENYU ; DENG BAOYONG ; YAN YU ; LI WEIWEI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN107958137A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2018</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>HUANG ZHENYU</creatorcontrib><creatorcontrib>DENG BAOYONG</creatorcontrib><creatorcontrib>YAN YU</creatorcontrib><creatorcontrib>LI WEIWEI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUANG ZHENYU</au><au>DENG BAOYONG</au><au>YAN YU</au><au>LI WEIWEI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Catalytic cracking yield prediction method based on Matlab and Excel</title><date>2018-04-24</date><risdate>2018</risdate><abstract>Provided is a catalytic cracking yield prediction method based on Matlab and Excel. Historical catalytic cracking raw material property analysis and historical yield data in a device production process are used, and correlation coefficients are built for dry gas, liquefied gas, gasoline, diesel, slurry oil and coke respectively to obtain a yield prediction model; an Excel language is used for proposing a yield prediction model expression, and when the catalytic cracking raw material properties change, the built yield prediction model is used for predicting the catalytic cracking yields of thedry gas, the liquefied gas, the gasoline, the diesel, the slurry oil and the coke separately. According to the method, under the condition that the catalytic cracking reaction temperature and the catalyst variety do not change, the catalytic cracking yields can be fast predicted according to change of the catalytic cracking raw material properties, and an accurate calculation basis is provided forselecting suitable raw ma</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN107958137A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
title Catalytic cracking yield prediction method based on Matlab and Excel
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T02%3A41%3A35IST&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=HUANG%20ZHENYU&rft.date=2018-04-24&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN107958137A%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