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...

Full description

Saved in:
Bibliographic Details
Published in煤炭学报 Vol. 43; no. 2; pp. 333 - 339
Main Authors 姜福兴, 杨光宇, 魏全德, 王存文, 曲效成, 朱斯陶
Format Journal Article
LanguageChinese
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 AccessGet full text
ISSN0253-9993
DOI10.13225/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