Method for predicting height of water flowing fractured zone in layered fully mechanized caving mining of ultra-thick coal seam
The invention discloses an ultra-thick coal seam layered fully-mechanized caving mining water flowing fractured zone height prediction method, which comprises the following steps of: collecting geological data of a prediction working face, and mastering a working face coal mining method, overlying s...
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creator | QIAO WEI HU DONGQIANG DUAN YULU CHENG XIANGGANG LIU MENGNAN |
description | The invention discloses an ultra-thick coal seam layered fully-mechanized caving mining water flowing fractured zone height prediction method, which comprises the following steps of: collecting geological data of a prediction working face, and mastering a working face coal mining method, overlying strata geological conditions and working face parameters in detail; according to the method, new prediction indexes such as the thickness of the overlying goaf and the distance between the working face and the main key layer are provided, a nonlinear prediction method using the GRA-LS-SVM model is provided, and the height of the overlying strata water flowing fractured zone of the ultra-thick coal seam can be accurately and economically predicted.
本发明公开了一种巨厚煤层分层综放开采导水裂隙带高度预测方法,包含以下步骤:收集预测工作面地质资料,详细掌握工作面采煤方法、覆岩地质条件、工作面参数。本发明提出上覆采空区厚度、工作面距主关键层距离等新的预测指标,提出运用GRA-LS-SVM模型非线性预测方法,能够较为准确、经济的预测出巨厚煤层覆岩导水裂隙带高度。 |
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本发明公开了一种巨厚煤层分层综放开采导水裂隙带高度预测方法,包含以下步骤:收集预测工作面地质资料,详细掌握工作面采煤方法、覆岩地质条件、工作面参数。本发明提出上覆采空区厚度、工作面距主关键层距离等新的预测指标,提出运用GRA-LS-SVM模型非线性预测方法,能够较为准确、经济的预测出巨厚煤层覆岩导水裂隙带高度。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</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&date=20221202&DB=EPODOC&CC=CN&NR=115422740A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221202&DB=EPODOC&CC=CN&NR=115422740A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>QIAO WEI</creatorcontrib><creatorcontrib>HU DONGQIANG</creatorcontrib><creatorcontrib>DUAN YULU</creatorcontrib><creatorcontrib>CHENG XIANGGANG</creatorcontrib><creatorcontrib>LIU MENGNAN</creatorcontrib><title>Method for predicting height of water flowing fractured zone in layered fully mechanized caving mining of ultra-thick coal seam</title><description>The invention discloses an ultra-thick coal seam layered fully-mechanized caving mining water flowing fractured zone height prediction method, which comprises the following steps of: collecting geological data of a prediction working face, and mastering a working face coal mining method, overlying strata geological conditions and working face parameters in detail; according to the method, new prediction indexes such as the thickness of the overlying goaf and the distance between the working face and the main key layer are provided, a nonlinear prediction method using the GRA-LS-SVM model is provided, and the height of the overlying strata water flowing fractured zone of the ultra-thick coal seam can be accurately and economically predicted.
本发明公开了一种巨厚煤层分层综放开采导水裂隙带高度预测方法,包含以下步骤:收集预测工作面地质资料,详细掌握工作面采煤方法、覆岩地质条件、工作面参数。本发明提出上覆采空区厚度、工作面距主关键层距离等新的预测指标,提出运用GRA-LS-SVM模型非线性预测方法,能够较为准确、经济的预测出巨厚煤层覆岩导水裂隙带高度。</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>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDEOgkAQRWksjHqH8QAkghhrQzQ2WtmTyTLrTlx2yTJIoPHqsokHsPr5L-__ZfK5kRhfg_YB2kA1K2H3BEP8NAJew4BCAbT1Q-Q6oJJ-9mDyjoAdWBwpdt1bO0JDyqDjaQYK33HRsIsxP_VWAqZiWL1AebTQETbrZKHRdrT55SrZXs6P8ppS6yvqWlTkSKrynmWHIs-Pxe60_8f5AutDSMs</recordid><startdate>20221202</startdate><enddate>20221202</enddate><creator>QIAO WEI</creator><creator>HU DONGQIANG</creator><creator>DUAN YULU</creator><creator>CHENG XIANGGANG</creator><creator>LIU MENGNAN</creator><scope>EVB</scope></search><sort><creationdate>20221202</creationdate><title>Method for predicting height of water flowing fractured zone in layered fully mechanized caving mining of ultra-thick coal seam</title><author>QIAO WEI ; HU DONGQIANG ; DUAN YULU ; CHENG XIANGGANG ; LIU MENGNAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115422740A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</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>QIAO WEI</creatorcontrib><creatorcontrib>HU DONGQIANG</creatorcontrib><creatorcontrib>DUAN YULU</creatorcontrib><creatorcontrib>CHENG XIANGGANG</creatorcontrib><creatorcontrib>LIU MENGNAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>QIAO WEI</au><au>HU DONGQIANG</au><au>DUAN YULU</au><au>CHENG XIANGGANG</au><au>LIU MENGNAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for predicting height of water flowing fractured zone in layered fully mechanized caving mining of ultra-thick coal seam</title><date>2022-12-02</date><risdate>2022</risdate><abstract>The invention discloses an ultra-thick coal seam layered fully-mechanized caving mining water flowing fractured zone height prediction method, which comprises the following steps of: collecting geological data of a prediction working face, and mastering a working face coal mining method, overlying strata geological conditions and working face parameters in detail; according to the method, new prediction indexes such as the thickness of the overlying goaf and the distance between the working face and the main key layer are provided, a nonlinear prediction method using the GRA-LS-SVM model is provided, and the height of the overlying strata water flowing fractured zone of the ultra-thick coal seam can be accurately and economically predicted.
本发明公开了一种巨厚煤层分层综放开采导水裂隙带高度预测方法,包含以下步骤:收集预测工作面地质资料,详细掌握工作面采煤方法、覆岩地质条件、工作面参数。本发明提出上覆采空区厚度、工作面距主关键层距离等新的预测指标,提出运用GRA-LS-SVM模型非线性预测方法,能够较为准确、经济的预测出巨厚煤层覆岩导水裂隙带高度。</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 | Method for predicting height of water flowing fractured zone in layered fully mechanized caving mining of ultra-thick coal seam |
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