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牛剑峰. 基于视频巡检的综采工作面无人化关键技术研究[J]. 煤炭科学技术, 2019, (10).
引用本文: 牛剑峰. 基于视频巡检的综采工作面无人化关键技术研究[J]. 煤炭科学技术, 2019, (10).
NIU Jianfeng. Research on unmanned key technology of fully-mechanized mining face based on video inspection[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (10).
Citation: NIU Jianfeng. Research on unmanned key technology of fully-mechanized mining face based on video inspection[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (10).

基于视频巡检的综采工作面无人化关键技术研究

Research on unmanned key technology of fully-mechanized mining face based on video inspection

  • 摘要: 针对综采工作面采煤机自动控制和工作面自动找直等技术难题,分析了现有技术存在的局限性及其缺陷,介绍了传统作业模式,提出了传统设计思维模式存在的问题。将应用技术与现场环境相结合,提出了一种解决煤岩界面识别和工作面直线度检测问题的离线控制系统,提出了基于在工作面上风头工作的悬挂式轨道视频巡检系统技术方案,介绍了现有常用的矿用巡检装置结构形式,进行了视频巡检装置结构设计,详细描述了视频巡检装置工作原理及其应用模式。使用视频巡检装置对煤壁拍摄图像,通过图像灰度识别技术进行煤岩界面辨识与测量,实现采煤机基于煤岩界面数据驱动的自动控制。使用视频巡检装置对工作面液压支架上设置的标签拍摄图像,通过视觉测量技术进行工作面直线度检测,实现液压支架基于工作面直线度检测数据驱动的自动找直控制,从而解决综采工作面无人化的煤岩界面识别和工作面直线度检测2个技术难题。随着综采工作面无人化技术的不断突破与成功应用,也必将推动综采工作面无人化技术的发展与应用。

     

    Abstract: Aiming at the technical problems of automatic control of shearer and automatic straightening of fully-mechanized mining face,the limitations and shortcomings of existing technologies are analyzed. The traditional operation mode is introduced, the existing problems of traditional design thinking mode are put forward. This paper combines application technology with field environment, an off-line control system for coal-rock interface recognition and working face straightness detection is proposed, a technical scheme of suspended track video inspection system based on the working face wind from above is proposed;This paper introduces the structure forms of the existing common mine patrol equipment, the structure design of video inspection device is carried out, the working principle and application mode of video inspection device are described in detail. Using video patrol device to picture coal wall,identification and measurement of coal-rock interface by image gray recognition technology, realizing automatic control of shearer based on data driving of coal-rock interface. Using video inspection device to take image of labels set on hydraulic support of working face, straightness detection of working face by visual measurement technology, realization of automatic straightening control of hydraulic support based on data driven of straightness detection of working face, thus, two technical problems of coal-rock interface identification and face straightness detection in fully-mechanized mining face are solved. With the continuous breakthrough and successful application of unmanned technology in fully-mechanized mining face,it will also promote the development and application of unmanned technology in fully-mechanized mining face.

     

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