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煤矿智能化连续运输系统关键技术研究

Study on key technology of coal mine intelligent continuous transportation

  • 摘要: 针对煤流系统存在逆煤流启车及始终全速的非最优运行状态,造成电能无效消耗及煤流系统传动部件无效磨损的现状,为提高煤流系统的运行效率,提出了煤流系统智能化调速无人化系统运行关键技术,主要涉及4个方面:煤量检测技术、智能控制策略、智能监控预警和煤流系统大数据远程监控云平台。煤量检测技术通过视频图像分析处理,检测出煤流输送线上煤料的宽度、截面积或体积,从而计算出瞬时煤量,作为煤流系统智能化调速的数据来源。智能控制策略通过改进煤流系统控制和运行工艺,即顺逆煤流自适应启动控制、煤量自适应调速和多级设备协同控制,提高煤流系统的运行效率和智能化水平,节能降耗,延长设备使用寿命。巡检机器人,搭载高清摄像装置、热成像仪及多种有害气体传感器,可执行煤流系统井下巡检任务,取代人工巡检,实现智能监控预警。煤流系统大数据远程监控云平台通过对煤流系统运行状态数据的采集、存储、分析和展示,解决了煤流系统生产故障排查耗时、滞后等问题,实现了煤流系统生产作业过程的少人化、数据化、远程实时监控。

     

    Abstract: In view of the current situation that the coal flow system has the reverse coal flow starting and the non optimal operation state of full speed all the time, resulting in the invalid consumption of electric energy and the invalid wear of the transmission parts of the coal flow system, in order to improve the running efficiency of coal flow, the authors discusse the key technology of mine intelligent continuous transportation, including four parts:coal quantity detection technology, intelligent control strategy,intelligent monitoring and early warning and coal flow system big data remote monitoring cloud platform.Through video image analysis and processing, coal quantity detection technology can detect the width, sectional area or volume of coal on the coal flow conveying line, so as to calculate the instantaneous coal quantity, which can be used as the data source of intelligent speed regulation of coal flow system.Through improving the control and operation process of coal flow system, namely, self-adaptive start-up control from the upstream to downstream or inversely, self-adaptive speed regulation according to coal quantity and multi-level equipment collaborative control, the operating efficiency and intelligence level of coal flow system are improved, energy saving and consumption reduction are achieved, and the service life of equipment is prolonged.The Inspection robot which equipped with HD camera device, thermal imager and a variety of harmful gas sensors, can perform underground inspection along coal flow system, replace manual inspection, and realize intelligent monitoring and early warning.Through the collection, storage, analysis and display of the running state data of the coal flow system, coal flow system big data remote monitoring cloud platform solves the problems,such as time consuming and lag in troubleshooting of the coal flow system, and realizes the automation, digitization and remote real-time monitoring of the coal flow system production process.

     

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