Warning: Full texts from electronic resources are only available from the university network. You are currently outside this network. Please log in to access full texts
煤矿复合动力灾害危险性实时预警平台研究与展望
TD324%TD713%TD745; 为解决复合动力灾害危险性实时预警的难题,通过研究煤矿复合动力灾害发生机理和发生前兆的关联性,将复合动力灾害发生前兆分为共性和个性两类,并与监测参数类型相对应,提出了针对复合动力灾害危险性的临场预警、中期预警以及远期预警的关键监测参数.复合动力灾害危险性实时预警平台的构成主要包含监测硬件、分析软件及预警方法3个部分,硬件主要指动力灾害监测系统及平台监控室硬件;软件主要指平台采集及分析软件;预警方法指标包括复合动力灾害危险性联合预警方法和单参数与多参数联合预警方法.在河南、山东等存在复合动力灾害的矿井进行了预警试验和基础研究,预警了矿井的复合动力灾害.同时,展...
Saved in:
Published in | 煤炭学报 Vol. 43; no. 2; pp. 333 - 339 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | Chinese |
Published |
北京安科兴业矿山安全技术研究院有限公司,北京102299%北京安科兴业科技股份有限公司,北京100083
01.02.2018
北京安科兴业矿山安全技术研究院有限公司,北京102299 北京安科兴业科技股份有限公司,北京100083 北京科技大学土木与资源工程学院,北京,100083%北京科技大学土木与资源工程学院,北京100083 |
Subjects | |
Online Access | Get full text |
ISSN | 0253-9993 |
DOI | 10.13225/j.cnki.jccs.2017.4152 |
Cover
Abstract | TD324%TD713%TD745; 为解决复合动力灾害危险性实时预警的难题,通过研究煤矿复合动力灾害发生机理和发生前兆的关联性,将复合动力灾害发生前兆分为共性和个性两类,并与监测参数类型相对应,提出了针对复合动力灾害危险性的临场预警、中期预警以及远期预警的关键监测参数.复合动力灾害危险性实时预警平台的构成主要包含监测硬件、分析软件及预警方法3个部分,硬件主要指动力灾害监测系统及平台监控室硬件;软件主要指平台采集及分析软件;预警方法指标包括复合动力灾害危险性联合预警方法和单参数与多参数联合预警方法.在河南、山东等存在复合动力灾害的矿井进行了预警试验和基础研究,预警了矿井的复合动力灾害.同时,展望了复合动力灾害危险性实时预警平台的发展趋势. |
---|---|
AbstractList | TD324%TD713%TD745; 为解决复合动力灾害危险性实时预警的难题,通过研究煤矿复合动力灾害发生机理和发生前兆的关联性,将复合动力灾害发生前兆分为共性和个性两类,并与监测参数类型相对应,提出了针对复合动力灾害危险性的临场预警、中期预警以及远期预警的关键监测参数.复合动力灾害危险性实时预警平台的构成主要包含监测硬件、分析软件及预警方法3个部分,硬件主要指动力灾害监测系统及平台监控室硬件;软件主要指平台采集及分析软件;预警方法指标包括复合动力灾害危险性联合预警方法和单参数与多参数联合预警方法.在河南、山东等存在复合动力灾害的矿井进行了预警试验和基础研究,预警了矿井的复合动力灾害.同时,展望了复合动力灾害危险性实时预警平台的发展趋势. |
Abstract_FL | To overcome the difficulty in real-time forecasting and prewarning of coal mine composite dynamic disasters,the paper investigated on the occurrence mechanism of composite dynamic disasters and the relevance to prewarning signals,by dividing prewarning signals into universality and individuality prewarnings and corresponding them to monitoring parameters,through which key monitoring parameters of real-time,mid-time and long-term prewarning are proposed.Real-time prewarning platform of composite dynamic disasters is mainly composed of monitoring hardware,analysis software and prewarning methods.Monitoring hardware mainly includes dynamic disaster monitoring system and platform monitoring room facilities;and analysis software refers to a platform's data collection and analysis software;and prewarning methods include multiple methods like composite disaster joint warning methods and single parameter and multi-parameter joint warning methods.Based on the above studies,basic research and forecasting and prewarning research on coal mines in Henan,Shangdong and other provinces,where composite dynamic disasters may happen,are taken,and coal mines' composite dynamic disasters are forecasted.Besides,the paper also forecasts the development tendency of real-time forecasting and prewarning platform of composite dynamic disasters. |
Author | 杨光宇 朱斯陶 姜福兴 曲效成 王存文 魏全德 |
AuthorAffiliation | 北京科技大学土木与资源工程学院,北京,100083%北京科技大学土木与资源工程学院,北京100083;北京安科兴业科技股份有限公司,北京100083;北京安科兴业矿山安全技术研究院有限公司,北京102299%北京安科兴业科技股份有限公司,北京100083;北京安科兴业矿山安全技术研究院有限公司,北京102299 |
AuthorAffiliation_xml | – name: 北京科技大学土木与资源工程学院,北京,100083%北京科技大学土木与资源工程学院,北京100083;北京安科兴业科技股份有限公司,北京100083;北京安科兴业矿山安全技术研究院有限公司,北京102299%北京安科兴业科技股份有限公司,北京100083;北京安科兴业矿山安全技术研究院有限公司,北京102299 |
Author_FL | QU Xiaocheng ZHU Sitao JIANG Fuxing YANG Guangyu WEI Quande WANG Cunwen |
Author_FL_xml | – sequence: 1 fullname: JIANG Fuxing – sequence: 2 fullname: YANG Guangyu – sequence: 3 fullname: WEI Quande – sequence: 4 fullname: WANG Cunwen – sequence: 5 fullname: QU Xiaocheng – sequence: 6 fullname: ZHU Sitao |
Author_xml | – sequence: 1 fullname: 姜福兴 – sequence: 2 fullname: 杨光宇 – sequence: 3 fullname: 魏全德 – sequence: 4 fullname: 王存文 – sequence: 5 fullname: 曲效成 – sequence: 6 fullname: 朱斯陶 |
BookMark | eNotj7tKA0EYRqeIYBJ9BTvLXWfm35nZKTV4g0AarcPeRlx1Aq6ipYKCBKIWSpCIigQ1hcEQCNroyzi75i1c0Oo71Tl8JVTQDR0hNEOwTYBSNhfbgd7atOMgSGyKibAdwmgBFTFlYEkpYRKVkiTGGBzgrIgWstNudv9lui1zeWaaL6bZyY4_TX9oWoPxTS89ejb9u7Q9Gj-e_Lw-mY-huXjLHq6y3uj7_dwMrtPbzhSaUN52Ek3_bxmtLy2uVVasam15tTJftRKCMbNoqEIgUkUu97kImSMkVUKAgyPlK5-5AWdEikB6DDyQAkvXBSfkhPOcFYMymv3zHnhaeXqjHjf2d3VerO_sHfr5WRfTPAS_bRVlEw |
ClassificationCodes | TD324%TD713%TD745 |
ContentType | Journal Article |
Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
DBID | 2B. 4A8 92I 93N PSX TCJ |
DOI | 10.13225/j.cnki.jccs.2017.4152 |
DatabaseName | Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
DocumentTitle_FL | Study and prospect on coal mine composite dynamic disaster real-time prewarning platform |
EndPage | 339 |
ExternalDocumentID | mtxb201802005 |
GrantInformation_xml | – fundername: 国家重点研发计划资助项目; 国家自然科学基金资助项目; 国家自然科学基金重点资助项目 funderid: (2016YFC0801408); (51674014); (51634001) |
GroupedDBID | -02 2B. 4A8 5XA 5XC 92H 92I 93N ABJNI ACGFS ALMA_UNASSIGNED_HOLDINGS CCEZO CDRFL CW9 FIJ GROUPED_DOAJ IPNFZ PSX RIG TCJ TGT U1G U5L |
ID | FETCH-LOGICAL-s1005-2dfd319fe86b67d54792f77340efbfb58c65197c9a53a397098834d6166709f53 |
ISSN | 0253-9993 |
IngestDate | Thu May 29 04:05:49 EDT 2025 |
IsPeerReviewed | false |
IsScholarly | true |
Issue | 2 |
Keywords | real-time forecasting and prewarning platform 危险性预警 composite dynamic disaster risk prewarning 实时预警平台 复合动力灾害 |
Language | Chinese |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-s1005-2dfd319fe86b67d54792f77340efbfb58c65197c9a53a397098834d6166709f53 |
PageCount | 7 |
ParticipantIDs | wanfang_journals_mtxb201802005 |
PublicationCentury | 2000 |
PublicationDate | 2018-02-01 |
PublicationDateYYYYMMDD | 2018-02-01 |
PublicationDate_xml | – month: 02 year: 2018 text: 2018-02-01 day: 01 |
PublicationDecade | 2010 |
PublicationTitle | 煤炭学报 |
PublicationTitle_FL | Journal of China Coal Society |
PublicationYear | 2018 |
Publisher | 北京安科兴业矿山安全技术研究院有限公司,北京102299%北京安科兴业科技股份有限公司,北京100083 北京安科兴业矿山安全技术研究院有限公司,北京102299 北京安科兴业科技股份有限公司,北京100083 北京科技大学土木与资源工程学院,北京,100083%北京科技大学土木与资源工程学院,北京100083 |
Publisher_xml | – name: 北京安科兴业矿山安全技术研究院有限公司,北京102299%北京安科兴业科技股份有限公司,北京100083 – name: 北京安科兴业矿山安全技术研究院有限公司,北京102299 – name: 北京科技大学土木与资源工程学院,北京,100083%北京科技大学土木与资源工程学院,北京100083 – name: 北京安科兴业科技股份有限公司,北京100083 |
SSID | ssj0034365 ssib048394982 ssib023167597 ssib012291397 ssib051374103 ssib001105247 ssib046784615 |
Score | 2.2226593 |
Snippet | TD324%TD713%TD745;... |
SourceID | wanfang |
SourceType | Aggregation Database |
StartPage | 333 |
Title | 煤矿复合动力灾害危险性实时预警平台研究与展望 |
URI | https://d.wanfangdata.com.cn/periodical/mtxb201802005 |
Volume | 43 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpR1Na9RANJR60YP4iZ-lB-eYmklmMjPHzG6WIuiphd7KJrtRK6xg20tPCgpSqHpQRCoqUtQeLJZC0Yv-GdO1_8L3JpOP0oJaYQmTmTfvM5n3Xph56zhXvC4W9abUVSllLktkz01oP3OxNFbAYMzr4mnk6zfCyWl2bYbPjIzONXYtLS4kE-nSgedKDmNV6AO74inZf7BshRQ6oA32hStYGK5_ZWMSCyI5iRg2VIfoDonNrWxjQ3lESmzIiERlQ2kzixIdG-CY6MAMtYmmJFZEKRIpEoe4ByISFkbF2KME0SHCRD6RQFSSqE2iEGG0KvEAGx6SiDyiDGOADWcxoiWRhigQUtwgbAE_zfh4j0TSR_zIQEElNILw8hkxIwJxIJEQKSN9QM9qEKDRLoWHn7Ly1O7XiNOuJxewoBzdABHIuNSWFyUN3rDEYj-aUFnus7aPucHYQq2h8MB6q6SuDMvAO61YtgpS0R5bgqY0bcyqWDS6AAsVSow6B2m8sKVvYXC66YHHwuJplQaT8Kbt5xbTdID3-eEFsUMVt9IYlRoYTXT7P3jDsL7hxnweuJCGBE2fy4LG2uI3HGhQlEWxsVhQFLra5-bRCxk_nw7u3J6YS1MsvE_FBEajdWBTbTeFFzfBp8Aryh0f8YUotnTYzy8mdYBEw69TawoKxuSovPexYgSv7yG-gMi9DqUZJBpM1XWiOA0gVveqqDBggflb20obtloBSnL1QDnMKcJB1h3cbAS8Uyec4zZTHY-KZeekM7J065RzrFG_9LSjh4_Whm9_5Gsr-bPH-fKnfHl1-OB7vrGVr2zuvlrfuf8x33iz83J79_3DX58_5N-28qdfhu-eD9e3f359km--2Hm9esaZ7sRTrUnX_imLO0-xarHfy3rgtrO-DJNQ9DgTys-ECJjXz5Is4TIN8Sx8qro86IICPbPo90IaYqXIjAdnndHB3UH_nDOecZmIzMtERlOWKgZa5wLmZEkf0qbUP--MWQ3M2kV3fnaPKS_8CeCic7R--y85owv3FvuXIYlYSMaM9X8DlnDLzw |
linkProvider | Directory of Open Access Journals |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E7%85%A4%E7%9F%BF%E5%A4%8D%E5%90%88%E5%8A%A8%E5%8A%9B%E7%81%BE%E5%AE%B3%E5%8D%B1%E9%99%A9%E6%80%A7%E5%AE%9E%E6%97%B6%E9%A2%84%E8%AD%A6%E5%B9%B3%E5%8F%B0%E7%A0%94%E7%A9%B6%E4%B8%8E%E5%B1%95%E6%9C%9B&rft.jtitle=%E7%85%A4%E7%82%AD%E5%AD%A6%E6%8A%A5&rft.au=%E5%A7%9C%E7%A6%8F%E5%85%B4&rft.au=%E6%9D%A8%E5%85%89%E5%AE%87&rft.au=%E9%AD%8F%E5%85%A8%E5%BE%B7&rft.au=%E7%8E%8B%E5%AD%98%E6%96%87&rft.date=2018-02-01&rft.pub=%E5%8C%97%E4%BA%AC%E5%AE%89%E7%A7%91%E5%85%B4%E4%B8%9A%E7%9F%BF%E5%B1%B1%E5%AE%89%E5%85%A8%E6%8A%80%E6%9C%AF%E7%A0%94%E7%A9%B6%E9%99%A2%E6%9C%89%E9%99%90%E5%85%AC%E5%8F%B8%2C%E5%8C%97%E4%BA%AC102299%25%E5%8C%97%E4%BA%AC%E5%AE%89%E7%A7%91%E5%85%B4%E4%B8%9A%E7%A7%91%E6%8A%80%E8%82%A1%E4%BB%BD%E6%9C%89%E9%99%90%E5%85%AC%E5%8F%B8%2C%E5%8C%97%E4%BA%AC100083&rft.issn=0253-9993&rft.volume=43&rft.issue=2&rft.spage=333&rft.epage=339&rft_id=info:doi/10.13225%2Fj.cnki.jccs.2017.4152&rft.externalDocID=mtxb201802005 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fmtxb%2Fmtxb.jpg |