可视化远程干预型智能化采煤关键控制技术研究
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- 英文论文题名：Study on key control technology of visualized remote interference type intelligent mining
- 论文作者：田成金
- 英文论文作者：Tian Chengjin ; Beijing Tiandi-Marco Electro-Hydraulic Control System Company Limited
- 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：智能化采煤 ; 综采工作面 ; 可视化 ; 远程干预 ; 互联网+
- 英文论文关键词：intelligent mining ; fully-mechanized coal mining face ; visualization ; remote interferences ; internet plus
- 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：TD823.97
- 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：6
- 文件大小：526k
- 原文格式：O
- 会议级别：全国
摘要
针对目前基于煤岩分界的自适应调高技术、水平控制技术等智能化采煤控制技术还难以突破的情况,为解决回采工作面的智能化采煤难题,进行了可视化远程干预型智能化采煤控制技术的研究。通过采用基于视频追踪、接力和拼接技术的工作面远景实时呈现的方法,研究了远程干预集中操作技术,集成融合采煤机记忆割煤技术、工作面跟机自动化控制技术,研制了综采智能控制系统。试验结果表明:实现了工作面内无人操作(仅1人巡视)的智能采煤常态化运行,将综采工作面每班作业人数由平均15人减少到3人。因此,利用该项技术能够实现综采工作面设备的智能化运行,能有效减少作业人数和提高综采工作面的安全生产水平。
According to an adaptive ranging technology based on the coal and rock boundary,horizontal control technology and intelligent coal mining control technology are hard to have a breakthrough,in order to solve the intelligent coal mining difficulty of coal mining face,a study on a control technology of the visualized remote interference type intelligent coal mining was conducted.Based on the video tracing,relay and mosaic technology,a coal mining face television real-time presence method was applied to study the remote interference concentrated operation technology,the integration fusion memory cutting technology of the coal shearer and the automatic control technology of the coal mining face followed up.And the intelligent control system of the fully mechanized coal mining was researched and developed.The test results showed that an unmanned intelligent coal mining normal operation(only one man for inspection) of the coal mining face was realized and the operation personnel in each shift of the coal mining face were reduced from 15 personnel in average to 3 personnel.Therefore,technolog the application technology could realize the intelligent operation of equipment in fully mechanized coal mining face,could effectively reduce number of the operation personnel and could improve the safety production level of fully mechanized coal mining face.
According to an adaptive ranging technology based on the coal and rock boundary,horizontal control technology and intelligent coal mining control technology are hard to have a breakthrough,in order to solve the intelligent coal mining difficulty of coal mining face,a study on a control technology of the visualized remote interference type intelligent coal mining was conducted.Based on the video tracing,relay and mosaic technology,a coal mining face television real-time presence method was applied to study the remote interference concentrated operation technology,the integration fusion memory cutting technology of the coal shearer and the automatic control technology of the coal mining face followed up.And the intelligent control system of the fully mechanized coal mining was researched and developed.The test results showed that an unmanned intelligent coal mining normal operation(only one man for inspection) of the coal mining face was realized and the operation personnel in each shift of the coal mining face were reduced from 15 personnel in average to 3 personnel.Therefore,technolog the application technology could realize the intelligent operation of equipment in fully mechanized coal mining face,could effectively reduce number of the operation personnel and could improve the safety production level of fully mechanized coal mining face.
引文
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[17]王金华,黄曾华.中国煤矿智能开采科技创新与发展[J].煤炭科学技术,2014,42(9):1-6,21.Wang Jinhua,Huang Zenghua.Innovation and development of intelligent coal mining science and technology in China[J].Coal Science and Technology,2014,42(9):1-6,21.
[18]袁建平.黄陵一号煤矿薄煤层综采工作面智能化控制系统的研究[J].山东煤炭科技,2014(11):198-200.Yuan Jianping.Research on intelligent control system of fully mechanized mining face in thin coal seam in Huangling No.1 Coal Mine[J].Shandong Coal Science and Technology,2014(11):198-200.
[2]张良,李首滨,黄曾华.煤矿综采工作面无人化开采的内涵与实现[J].煤炭科学技术,2014,42(9):26-29,51.Zhang Liang,Li Shoubin,Huang Zenghua.Definition and realization of unmanned mining in fully-mechanized coal mining face[J].Coal Science and Technology,2014,42(9):26-29,51.
[3]王金华,黄乐亭,李首滨.综采工作面智能化技术与装备的发展[J].煤炭学报,2014,39(8):1418-1423.Wang Jinhua,Huang Leting,Li Shoubin.Development of intelligent technology and equipment in fully-mechanized coal mining face[J]Journal of China Coal Society,2014,39(8):1418-1423.
[4]李松强,马邵峰,史矿民.智能化综放设备在义马矿区的应用[J].中州煤炭,2014(5):16-18.Li Songqiang,Ma Shaofeng,Shi Kuangmin.Application of intelligentized fully mechanized top coal caving equipments in Yima Mining Area[J].Zhongzhou Coal,2014(5):16-18.
[5]张福建.电牵引采煤机记忆截割控制策略的研究[D].北京:煤炭科学研究总院,2007.
[6]张丽丽,谭超,王忠宾,等.基于微粒群算法的采煤机记忆截割路径优化[J].煤炭科学技术,2010,38(4):69-71.Zhang Lili,Tan Chao,Wang Zhongbin,et al.Optimization of mnemonic cutting path for coal shearer based on corpuscular group algorithm[J].Coal Science and Technology,2010,3 8(4):69-71.
[7]徐志鹏.采煤机自适应截割关键技术研究[D].徐州:中国矿业大学,2011.
[8]樊启高,李威,王禹桥.一种采用捷联惯导的采煤机动态定位方法[J].煤炭学报,201I,36(10):160-163.Fan Qigao,Li Wei,Wang Yuqiao.A shearer dynamic positioning method using strap down inertial navigation[J]Journal of China Coal Society,2011,36(10):160-163.
[9]杨海,李威,罗成名.基于捷联惯导的采煤机定位定姿技术实验研究[J].煤炭学报,2014,39(12):2550-2556.Yang Hai,Li Wei,Luo Chengming.Experiment al study on posit ion and attitude technique for shearer using SINS measurement[J].Journal of China Coal Society,2014,39(12):2550-2556.
[10]许春雨,宋渊,宋建成.基于单片机的采煤机红外线位置检测装置开发[J].煤炭学报,2011,36(S1):171-175.Xu Chunyu,Song Yuan,Song Jiancheng.Development of the device to detect the position of coal miningmachine by infrared ray based on MCU[J].Journal of China Coal Society,2011,36(S1):171-175.
[11]刘清,魏文艳.基于红外检测装置的采煤机定位算法研究[J].机械工程与自动化,2013(6):157-159.Liu Qing,Wei Wenyan.Coal winning machine localization algorithm research based on the infrared detection device[J].Mechanical Engineering&Automation,2013(6):157-159.
[12]吴国强,张北辰.液压支架电液自动控制系统国产化研究[J].中州煤炭,2006(5):14-15.Wu Guoqiang,Zhang Beichen.Automatic control system for hydraulic support electro-hydraulic localization of research[J].Zhongzhou Coal,2006(5):14-15.
[13]李骏,林福严.跟机自动化中采煤机自动控制方法研究[J].工矿自动化,2014(2):1-4.Li Jun,Lin Fuyan.Research of automatic control method of shearer in machinery-tracked automation[J].Industry and Mine Automation,2014(2):11-4.
[14]王峰.综采无人工作面自动化开采技术研究与应用[J].工矿自动化,20151(7):5-9.Wang Feng.Research and application of automatic mining technology of unmanned fully-mechanized coal mining face[J].Industry and Mine Automation,2015(7):5-9.
[15]田成金,魏文艳,朱小林.基于SAC型液压支架电液控制系统的跟机自动化技术研究[J].煤矿开采,2012,17(2):46-50.Tian Chengjin,Wei Wenyan,Zhu Xiaolin.Automatic following coal-cutter technology based on sac electrodraulic control system in powered support[J].Coal Mining Technology,2012,17(2):46-50.
[16]牛剑峰.无人工作面智能本安型摄像仪研究[J].煤炭科学技术,2015,43(1):77-80.Niu Jianfeng.Research on intelligent intrinsically safe camera forunmanned fully-mechanized coal mining face[J].Coal Science and Technology,2015,43(1):77-80.
[17]王金华,黄曾华.中国煤矿智能开采科技创新与发展[J].煤炭科学技术,2014,42(9):1-6,21.Wang Jinhua,Huang Zenghua.Innovation and development of intelligent coal mining science and technology in China[J].Coal Science and Technology,2014,42(9):1-6,21.
[18]袁建平.黄陵一号煤矿薄煤层综采工作面智能化控制系统的研究[J].山东煤炭科技,2014(11):198-200.Yuan Jianping.Research on intelligent control system of fully mechanized mining face in thin coal seam in Huangling No.1 Coal Mine[J].Shandong Coal Science and Technology,2014(11):198-200.