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Title
Application of intelligent air compressing system in coal mine
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作者
谷树伟马孝威
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Author
GU Shuwei;MA Xiaowei
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单位
国家能源包头能源有限责任公司李家壕煤矿煤炭科学技术研究院有限公司煤矿应急避险技术装备工程研究中心北京市煤矿安全工程技术研究中心
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Organization
Lijiahao Coal Mine, CHN Energy Baotou Energy Co. , Ltd.
China Coal Research Institute Co. , Ltd.
Engineering Research Center of Coal Mines Emergency Technology Equipment Engineering
Beijing Coal Mine Safety Engineering Technology Research Center
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摘要
针对传统压风系统多电机之间无法协同配合,压风机房需要定时巡检等问题,设计了一种智能压风系统。该系统通过在控制侧加入可编程控制柜,并引入模糊控制算法,实现压风系统的按压供风、负载均衡、自动轮换的功能。通过布置故障诊断装置,检测压风机的健康状况,在发生故障时可停止压风机的运行,并及时开启另一台压风机,保障管道压力恒定。通过安装视频分析摄像仪实现对压风机房进入人员的监测,分析是否有违规或越界行为,保证人员和设备的安全。智能压风系统的管控平台展示压风机的各项数据,并通过动画生动的展示压风机房内各设备的运行状态,显示压风机健康状况的分析结果。该系统的应用减少了电能的浪费,提供了准确的诊断结果,提高了煤矿智能化水平。
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Abstract
Aiming at the problems that multiple motors in the traditional air compressing system cannot cooperate and the air compressor room needs regular inspection, an intelligent air compressing system is designed. By adding programmable control cabinet to the control side and introducing fuzzy control algorithm, the functions of compressed air supply, load balancing and automatic rotation of the system are realized.By arranging a fault diagnosis device to detect the health condition of the air compressor, the operation can be stopped when the fault occurs, and another air compressor can be started in time to ensure the constant pressure of the pipeline. The video analysis camera is installed to monitor the personnel entering the air compressor room and analyze whether there are violations or transgressions to ensure the safety of personnel and equipment.In the management and control platform of the intelligent air compressing system, various data and the health status of the air compressor is accessible, and operating status of the equipment in the air compressor room is vividly displayed through animation. Application of this system reduces the waste of electric energy, provides accurate diagnosis results, and improves the level of coal mine intelligentization.
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关键词
压风系统模糊控制故障诊断视频分析管控平台
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KeyWords
air compressing system;fuzzy control;fault diagnosis;video analysis;control platform
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DOI
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引用格式
谷树伟, 马孝威. 煤矿智能压风系统的应用研究 [J]. 煤炭工程, 2024, 56(3): 91-95.