基于数据融合的采煤机定位算法研究  

Research on Mining Machine Location Algorithm Based on Data Fusion

作　　者：李九州 王春喜 付营军 LI Jiuzhou;WANG Chunxi;FU Yingjun

机构地区：[1]北京天玛智控科技有限公司,北京101399

出　　处：《今日自动化》2023年第7期126-128,共3页Automation Today

摘　　要：采煤机的位置信息是决定液压支架系统自动跟机是否准确、及时的关键参数之一。为克服实际跟机过程中由传感器采集错误、通信数据丢失或积累误差导致的支架丢架、误动作等问题,提出了一种基于系统数据融合的跟机定位算法。该方法提高了工作面的跟机率,有效防止了误动作的发生。The position information of shearer is one of the key parameters to determine whether the automatic tracking of hydraulic support system is accurate and timely.In order to overcome the problems caused by sensor acquisition error,communication data loss or accumulation error,a tracking location algorithm based on system data fusion is proposed.This method improves the tracking probability of the working surface and effectively prevents the occurrence of misoperation.

关 键 词：采煤机位置 定位算法 卡尔曼滤波 数据融合 煤矿智能化 

分 类 号：TD679[矿业工程—矿山机电]