基于智能矿山的煤矿带式输送机负载监测技术研究  

Research on Load Monitoring Technology of Coal Mine Belt Conveyor Based on Intelligent Mine

作　　者：贾海成 张振国 庄启磊 宋建国 汤浩 JIA Haicheng;ZHANG Zhenguo;ZHUANG Qilei;SONG Jianguo;TANG Hao(Yankuang Energy Group Co.,Ltd.,Dongtan Coal Mine,Zoucheng 273500)

机构地区：[1]兖矿能源集团股份有限公司东滩煤矿,邹城273500

出　　处：《现代制造技术与装备》2024年第9期1-3,共3页Modern Manufacturing Technology and Equipment

摘　　要：文章针对智能矿山提出一种高效、可靠的煤矿带式输送机负载监测技术。通过综合考虑煤矿环境特点和测量精度要求,选用光纤光栅力传感器实现载荷信息的实时采集。采用小波变换与经验模态分解相结合的方法对载荷数据进行预处理,并结合自适应卡尔曼滤波算法实现数据融合与优化。搭建实验平台开展静态标定和动态工况测试,结果表明该技术具有较高的测量精度、良好的动态性能和可靠性。This paper presents an efficient and reliable load monitoring technology for coal mine belt conveyor for intelligent mine.By considering the characteristics of coal mine environment and the requirement of measurement accuracy,the FBG force sensor is used to collect the load information in real time.The method of wavelet transform and empirical mode decomposition is used to preprocess the load data,and the data fusion and optimization are realized by combining the adaptive Kalman filter algorithm.The experimental platform is set up to carry out static calibration and dynamic testing.The results show that the technology has high measurement accuracy,good dynamic performance and reliability.

关 键 词：带式输送机 负载监测 光纤光栅传感器 数据融合 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TD528.1[自动化与计算机技术—控制科学与工程]