综采集成供液系统智能监测诊断技术现状与发展
详细信息 查看官网全文
- 英文论文题名：Status and development of intelligent monitoring and diagnosis technology for fully-mechanized integrated pressure pumping system
- 论文作者：李然 ; 王伟
- 英文论文作者：Li Ran ; Wang Wei ; Beijing Tiandi-Marco Electronic-Hydraulic Control System Company Ltd.
- 年：2016
- 作者机构：北京天地玛珂电液控制系统有限公司;
- 论文关键词：综采工作面 ; 集成供液系统 ; 智能监测 ; 无人工作面
- 英文论文关键词：fully-mechanized working face ; integrated pressure pumping system ; intelligent monitoring ; unmanned working face
- 会议召开时间：2016-11-29
- 会议录名称：第三届煤炭科技创新高峰论坛——煤炭绿色开发与清洁利用技术与装备论文集
- 语种：中文
- 分类号：TP274;TD67
- 学会代码：ZGMT
- 会议名称：第三届煤炭科技创新高峰论坛——煤炭绿色开发与清洁利用技术与装备
- 会议地点：中国北京
- 主办单位：中国煤炭工业协会、中国煤炭科工集团有限公司、中国煤炭学会、煤炭科学研究总院
- 学会名称：中国煤炭学会
- 页数：5
- 文件大小：491k
- 原文格式：O
- 会议级别：全国
摘要
在明确国内外综采集成供液系统智能监测诊断技术现状的基础上,重点从泵站多参量动态在线监测、乳化液浓度在线监测、过滤系统纳污量监控和视频监控等方面,对实现综采集成供液系统智能监测诊断关键技术、主要技术难点进行了分析和讨论,同时指出未来基于综采集成供液系统的智能监测诊断系统将以大数据基础层、故障特征信息存储层和故障智能专家诊断决策层为整体框架,实现对综采集成供液系统智能化、无人化管理。
Based on the understanding of the application of the intelligent monitoring and diagnosis technology on the domestic and foreign fully-mechanized integrated pressure pumping system,the key technologies and the major technical difficulties of the intelligent monitoring and diagnosis system were analyzed and discussed,on the aspects of multiple parameters dynamic monitoring of pump station,emulsion concentration monitoring,contamination level monitoring of filtration system and intelligent video monitoring,and so on.In order to achieve the intelligent and unmanned management of the fully-mechanized integrated pressure pumping system,the future intelligent monitoring and diagnosis system should include three levels,which were the basic level including large feature data,the middle level for collecting and storing fault features and the decision-making level for diagnosing the accurate faults.
Based on the understanding of the application of the intelligent monitoring and diagnosis technology on the domestic and foreign fully-mechanized integrated pressure pumping system,the key technologies and the major technical difficulties of the intelligent monitoring and diagnosis system were analyzed and discussed,on the aspects of multiple parameters dynamic monitoring of pump station,emulsion concentration monitoring,contamination level monitoring of filtration system and intelligent video monitoring,and so on.In order to achieve the intelligent and unmanned management of the fully-mechanized integrated pressure pumping system,the future intelligent monitoring and diagnosis system should include three levels,which were the basic level including large feature data,the middle level for collecting and storing fault features and the decision-making level for diagnosing the accurate faults.
引文
[1]李首滨.矿用乳化液泵站控制系统的现状及发展趋势[J].煤矿机械,2011,32(6):3-4.Li Shoubin.Research status and development trend of mine-used emulsion pump control system[J].Coal Mine Machinery,2011,32(6):3-4.
[2]李然.乳化液泵阀座拉升器疲劳裂纹扩展有限元分析[J].煤炭科学技术,2013,41(5):104-107.Li Ran.Finite element analysis on fatigue crack expansion of lifer in valve seat of emulsion pump[J].Coal Science and Technology,2013,41(5):104-107.
[3]欧启标,苏百顺,梁维源,等.光纤液位传感器在乳化液箱中液位检测的应用[J].煤矿机械,2012,33(5):220-221.Ou Qibiao,Su Baishun,Liang Weiyuan,et al.Application of optical fiber liquid level sensor dealing with liquid level detection in emulsion box[J].Coal Mine Machinery,2012,33(5):220-221.
[4]赵志华,吴力.基于改进型小波神经网络的往复泵故障诊断[J].自动化技术与应用,2013(9):76-78.Zhao Zhihua,Wu Li.Fault diagnosis technology of reciprocating pumps based on improved wavelet neural network[J].Techniques of Automation and Applications,2013(9):76-78.
[5]王江萍.五缸柱塞泵故障模糊综合诊断方法的研究[J].石油机械,2004,31(11):41-44.Wang Jiangpin.Research on fuzzy comprehensive five-cylinder piston pump fault diagnosis method[J].China Petroleum Machinery,2004,31(11):41-44.
[6]时文刚,刘树林,张嘉钟,等.基于支持向量机的往复泵泵阀故障诊断方法[J].机械强度,2005,24(3):362-364.Shi Wengang,Liu Shulin,Zhang Jiazhong,et al.Support vector machines based approach for fault diagnosis of valves in reciprocating pumps[J].Journal of Mechanical Strength,2005,24(3):362-364.
[7]时文刚,王日新,黄文虎.基于粗集理论的往复泵泵阀故障诊断方法[J].中国机械工程,2002,13(16):1389-1391.Shi Wengang,Wang Rixin,Huang Wenhu.Reciprocating pump valve rough set theory based fault diagnosis method[J].China Mechanical Engineering,2002,13(16):1389-1391.
[8]向虎.SAP型综采工作面智能集成供液系统的研制与应用[J].煤矿机械,2013,34(4):177-178.Xiang Hu.Research and application of SAP coal face intelligent integrated hydraulic-supplying system[J].Coal Mine Machinery,2013,34(4):177-178.
[9]李继周,向虎,罗跃勇.一种减震减压阀:中国,ZL2011100809025.8[P].2011-04-01.
[10]张文,范国敏.功率谱分析法在泵齿轮故障监测中的应用[J].煤炭科学技术,2004,32(5):27-31.Zhang Wen,Fang Guomin.Power chart analysis method applied to gear fault monitoring and measurement of pump[J].Coal Science and Technology,2004,32(5):27-31.
[11]孙君.乳化液泵站机械故障诊断研究[D].青岛:山东科技大学,2011:10-20.
[12]韩晓明.高压大流量乳化液泵状态监控与故障诊断研究[D].徐州:中国矿业大学,2008:5-8.
[13]刘树林,黄文虎,夏松波,等.基于结合能量模型的往复泵泵阀故障诊断研究[J].哈尔滨工业大学学报,2005,37(1):104-107.Liu Shulin,Huang Wenhu,Xia Songbo,et al.Fault diagnosis approach based on binding energy model for valves of reciprocating pumps[J].Journal of Harbin Institute of Technology,2005,37(1):104-107.
[14]赵栓峰,郭卫,张武刚.基于声卡的乳化液泵故障诊断系统[J].西安科技大学学报,2007,27(1):83-88.Zhao Shuanfeng,Guo Wei,Zhang Wugang.Fault diagnosis of the emulation pump based on the sound card[J].Journal of Xi'an University of Science and Technology,2007,27(1):83-88.
[15]杨士钊,胡建强,郭力,等.在线油液监测技术的进展[J].合成润滑材料,2012,39(4):23-26.Yang Shizhao,Hu Jianqiang,Guo Li,et al.Advances of online oil monitoring technology[J].Synthetic Lubricants,2012,39(4):23-26.
[16]姬翠翠,朱华,江炜.矿用乳化液浓度自动检测与配比技术比较研究[J].煤炭科学技术,2007,35(11):87-90.Ji Cuicui,Zhu Hua,Jiang Wei.Comparison research on density auto measurement and mixing ratio technology of mine emulsion[J].Coal Science and Technology,2007,35(11):87-90.
[17]黄曾华.煤矿综采工作面视频系统的应用研究[J].煤矿机电,2013(4):1-5.Huang Zenghua.Application research on video system at fully mechanized mining field[J].Colliery Mechanical&Electrical Technology,2013(4):1-5.
[2]李然.乳化液泵阀座拉升器疲劳裂纹扩展有限元分析[J].煤炭科学技术,2013,41(5):104-107.Li Ran.Finite element analysis on fatigue crack expansion of lifer in valve seat of emulsion pump[J].Coal Science and Technology,2013,41(5):104-107.
[3]欧启标,苏百顺,梁维源,等.光纤液位传感器在乳化液箱中液位检测的应用[J].煤矿机械,2012,33(5):220-221.Ou Qibiao,Su Baishun,Liang Weiyuan,et al.Application of optical fiber liquid level sensor dealing with liquid level detection in emulsion box[J].Coal Mine Machinery,2012,33(5):220-221.
[4]赵志华,吴力.基于改进型小波神经网络的往复泵故障诊断[J].自动化技术与应用,2013(9):76-78.Zhao Zhihua,Wu Li.Fault diagnosis technology of reciprocating pumps based on improved wavelet neural network[J].Techniques of Automation and Applications,2013(9):76-78.
[5]王江萍.五缸柱塞泵故障模糊综合诊断方法的研究[J].石油机械,2004,31(11):41-44.Wang Jiangpin.Research on fuzzy comprehensive five-cylinder piston pump fault diagnosis method[J].China Petroleum Machinery,2004,31(11):41-44.
[6]时文刚,刘树林,张嘉钟,等.基于支持向量机的往复泵泵阀故障诊断方法[J].机械强度,2005,24(3):362-364.Shi Wengang,Liu Shulin,Zhang Jiazhong,et al.Support vector machines based approach for fault diagnosis of valves in reciprocating pumps[J].Journal of Mechanical Strength,2005,24(3):362-364.
[7]时文刚,王日新,黄文虎.基于粗集理论的往复泵泵阀故障诊断方法[J].中国机械工程,2002,13(16):1389-1391.Shi Wengang,Wang Rixin,Huang Wenhu.Reciprocating pump valve rough set theory based fault diagnosis method[J].China Mechanical Engineering,2002,13(16):1389-1391.
[8]向虎.SAP型综采工作面智能集成供液系统的研制与应用[J].煤矿机械,2013,34(4):177-178.Xiang Hu.Research and application of SAP coal face intelligent integrated hydraulic-supplying system[J].Coal Mine Machinery,2013,34(4):177-178.
[9]李继周,向虎,罗跃勇.一种减震减压阀:中国,ZL2011100809025.8[P].2011-04-01.
[10]张文,范国敏.功率谱分析法在泵齿轮故障监测中的应用[J].煤炭科学技术,2004,32(5):27-31.Zhang Wen,Fang Guomin.Power chart analysis method applied to gear fault monitoring and measurement of pump[J].Coal Science and Technology,2004,32(5):27-31.
[11]孙君.乳化液泵站机械故障诊断研究[D].青岛:山东科技大学,2011:10-20.
[12]韩晓明.高压大流量乳化液泵状态监控与故障诊断研究[D].徐州:中国矿业大学,2008:5-8.
[13]刘树林,黄文虎,夏松波,等.基于结合能量模型的往复泵泵阀故障诊断研究[J].哈尔滨工业大学学报,2005,37(1):104-107.Liu Shulin,Huang Wenhu,Xia Songbo,et al.Fault diagnosis approach based on binding energy model for valves of reciprocating pumps[J].Journal of Harbin Institute of Technology,2005,37(1):104-107.
[14]赵栓峰,郭卫,张武刚.基于声卡的乳化液泵故障诊断系统[J].西安科技大学学报,2007,27(1):83-88.Zhao Shuanfeng,Guo Wei,Zhang Wugang.Fault diagnosis of the emulation pump based on the sound card[J].Journal of Xi'an University of Science and Technology,2007,27(1):83-88.
[15]杨士钊,胡建强,郭力,等.在线油液监测技术的进展[J].合成润滑材料,2012,39(4):23-26.Yang Shizhao,Hu Jianqiang,Guo Li,et al.Advances of online oil monitoring technology[J].Synthetic Lubricants,2012,39(4):23-26.
[16]姬翠翠,朱华,江炜.矿用乳化液浓度自动检测与配比技术比较研究[J].煤炭科学技术,2007,35(11):87-90.Ji Cuicui,Zhu Hua,Jiang Wei.Comparison research on density auto measurement and mixing ratio technology of mine emulsion[J].Coal Science and Technology,2007,35(11):87-90.
[17]黄曾华.煤矿综采工作面视频系统的应用研究[J].煤矿机电,2013(4):1-5.Huang Zenghua.Application research on video system at fully mechanized mining field[J].Colliery Mechanical&Electrical Technology,2013(4):1-5.