智慧矿山多系统传感层设备融合关键技术
Key technology of multi-system sensor layer equipment fusion in intelligent mine
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摘要: 针对国家能源局、国家矿山安全监察局在2021年下发的《煤矿智能化建设指南（2021版）》文件中智能安全监控系统对多系统井下融合及“人-机-环”应急联动的需求，分析了不同系统传感层设备共性特点以及实时采集的数据不定期误报、冒大数等问题；同时,从边缘计算设备的角度结合智能矿山发展趋势对井下多系统融合数据采集处理的实时性与不丢帧的要求，深入研究了安全监测类系统传感层设备的统一采集、采集数据不丢帧、传感层设备数据异常检测等3个关于多系统传感层设备融合的关键技术，提出了采用数据采集中间件方法建立统一采集体系结构、采用双缓存队列实现多线程间数据采集不丢帧、采用以时间序列为计算因子的传感层数据异常实时检测算法，并给出了详细的实现方法。Abstract: In view of the requirements of intelligent safety monitoring system for multi-system underground integration and “man-machine-environment” emergency linkage in Guide to Intelligent Mine Construction （version 2021） issued by the National Energy Administration and National Mine Safety Supervision Bureau in 2021, the common characteristics of equipment at the sensing layer of different systems and the problems of irregular false alarm and large numbers of real-time collected data are analyzed. At the same time, from the perspective of edge computing equipment, combined with the requirements of the development trend of intelligent mine for the real-time and nondrop-frame loss of underground multi-system fusion data acquisition and processing, this paper deeply studies three key technologies of multi-system sensor layer equipment fusion, such as unified acquisition of sensor layer equipment of safety monitoring system, nondrop-frame of collected data, and abnormal data detection of sensor layer equipment. The data acquisition middleware method is used to establish a unified acquisition architecture, the double buffer queue is used to realize multi-threaded data acquisition without losing frames, and the sensor layer data anomaly real-time detection algorithm with time series as the calculation factor is proposed, and the detailed implementation method is given.
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