Method for predicting coke boulder yield

The invention discloses a method for predicting coke boulder yield. The coke boulder yield is predicted according to the following formula: coke boulder yield =-6 * Vdaf-4. 5 * Wn + 50 * Dt + 7.5 * Gn-48 * Kn + 4 * Yn + 0.8 * Tn + 37.5, wherein Vdaf is volatile matter%; wn is moisture%; dt is the ta...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CHANG YIBAO, CHANG YIJUN, ZHANG YUAN, JIANG WEIMIN, WANG SHELONG
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 CHANG YIBAO
CHANG YIJUN
ZHANG YUAN
JIANG WEIMIN
WANG SHELONG
description The invention discloses a method for predicting coke boulder yield. The coke boulder yield is predicted according to the following formula: coke boulder yield =-6 * Vdaf-4. 5 * Wn + 50 * Dt + 7.5 * Gn-48 * Kn + 4 * Yn + 0.8 * Tn + 37.5, wherein Vdaf is volatile matter%; wn is moisture%; dt is the tamping density, and the unit is g/cm < 3 >; gn is the number of interlayers, and the unit is layer; kn is the thickness of the coal seam, and the unit is m; yn is the thickness% of the gelatinous layer; tn is coking time, and the unit is hour. According to the method, the influence factors of the yield of the boulder yield of more than 80mm are analyzed and confirmed, the prediction model is fitted through a data statistics method, the accuracy is relatively high through actual production verification, technical support is provided for the coking plant of the heat recovery furnace type in the aspects of production method formulation and sales strategy planning, and the enterprise cost control and sales strategy plan
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN115099610A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN115099610A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN115099610A3</originalsourceid><addsrcrecordid>eNrjZNDwTS3JyE9RSMsvUigoSk3JTC7JzEtXSM7PTlVIyi_NSUktUqjMTM1J4WFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoamBpaWZoYGjsbEqAEAv-ooJg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for predicting coke boulder yield</title><source>esp@cenet</source><creator>CHANG YIBAO ; CHANG YIJUN ; ZHANG YUAN ; JIANG WEIMIN ; WANG SHELONG</creator><creatorcontrib>CHANG YIBAO ; CHANG YIJUN ; ZHANG YUAN ; JIANG WEIMIN ; WANG SHELONG</creatorcontrib><description>The invention discloses a method for predicting coke boulder yield. The coke boulder yield is predicted according to the following formula: coke boulder yield =-6 * Vdaf-4. 5 * Wn + 50 * Dt + 7.5 * Gn-48 * Kn + 4 * Yn + 0.8 * Tn + 37.5, wherein Vdaf is volatile matter%; wn is moisture%; dt is the tamping density, and the unit is g/cm &lt; 3 &gt;; gn is the number of interlayers, and the unit is layer; kn is the thickness of the coal seam, and the unit is m; yn is the thickness% of the gelatinous layer; tn is coking time, and the unit is hour. According to the method, the influence factors of the yield of the boulder yield of more than 80mm are analyzed and confirmed, the prediction model is fitted through a data statistics method, the accuracy is relatively high through actual production verification, technical support is provided for the coking plant of the heat recovery furnace type in the aspects of production method formulation and sales strategy planning, and the enterprise cost control and sales strategy plan</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, 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=20220923&amp;DB=EPODOC&amp;CC=CN&amp;NR=115099610A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25566,76549</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220923&amp;DB=EPODOC&amp;CC=CN&amp;NR=115099610A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHANG YIBAO</creatorcontrib><creatorcontrib>CHANG YIJUN</creatorcontrib><creatorcontrib>ZHANG YUAN</creatorcontrib><creatorcontrib>JIANG WEIMIN</creatorcontrib><creatorcontrib>WANG SHELONG</creatorcontrib><title>Method for predicting coke boulder yield</title><description>The invention discloses a method for predicting coke boulder yield. The coke boulder yield is predicted according to the following formula: coke boulder yield =-6 * Vdaf-4. 5 * Wn + 50 * Dt + 7.5 * Gn-48 * Kn + 4 * Yn + 0.8 * Tn + 37.5, wherein Vdaf is volatile matter%; wn is moisture%; dt is the tamping density, and the unit is g/cm &lt; 3 &gt;; gn is the number of interlayers, and the unit is layer; kn is the thickness of the coal seam, and the unit is m; yn is the thickness% of the gelatinous layer; tn is coking time, and the unit is hour. According to the method, the influence factors of the yield of the boulder yield of more than 80mm are analyzed and confirmed, the prediction model is fitted through a data statistics method, the accuracy is relatively high through actual production verification, technical support is provided for the coking plant of the heat recovery furnace type in the aspects of production method formulation and sales strategy planning, and the enterprise cost control and sales strategy plan</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNDwTS3JyE9RSMsvUigoSk3JTC7JzEtXSM7PTlVIyi_NSUktUqjMTM1J4WFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoamBpaWZoYGjsbEqAEAv-ooJg</recordid><startdate>20220923</startdate><enddate>20220923</enddate><creator>CHANG YIBAO</creator><creator>CHANG YIJUN</creator><creator>ZHANG YUAN</creator><creator>JIANG WEIMIN</creator><creator>WANG SHELONG</creator><scope>EVB</scope></search><sort><creationdate>20220923</creationdate><title>Method for predicting coke boulder yield</title><author>CHANG YIBAO ; CHANG YIJUN ; ZHANG YUAN ; JIANG WEIMIN ; WANG SHELONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115099610A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>CHANG YIBAO</creatorcontrib><creatorcontrib>CHANG YIJUN</creatorcontrib><creatorcontrib>ZHANG YUAN</creatorcontrib><creatorcontrib>JIANG WEIMIN</creatorcontrib><creatorcontrib>WANG SHELONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHANG YIBAO</au><au>CHANG YIJUN</au><au>ZHANG YUAN</au><au>JIANG WEIMIN</au><au>WANG SHELONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for predicting coke boulder yield</title><date>2022-09-23</date><risdate>2022</risdate><abstract>The invention discloses a method for predicting coke boulder yield. The coke boulder yield is predicted according to the following formula: coke boulder yield =-6 * Vdaf-4. 5 * Wn + 50 * Dt + 7.5 * Gn-48 * Kn + 4 * Yn + 0.8 * Tn + 37.5, wherein Vdaf is volatile matter%; wn is moisture%; dt is the tamping density, and the unit is g/cm &lt; 3 &gt;; gn is the number of interlayers, and the unit is layer; kn is the thickness of the coal seam, and the unit is m; yn is the thickness% of the gelatinous layer; tn is coking time, and the unit is hour. According to the method, the influence factors of the yield of the boulder yield of more than 80mm are analyzed and confirmed, the prediction model is fitted through a data statistics method, the accuracy is relatively high through actual production verification, technical support is provided for the coking plant of the heat recovery furnace type in the aspects of production method formulation and sales strategy planning, and the enterprise cost control and sales strategy plan</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN115099610A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title Method for predicting coke boulder yield
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T08%3A48%3A47IST&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=CHANG%20YIBAO&rft.date=2022-09-23&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN115099610A%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