测绘通报 ›› 2025, Vol. 0 ›› Issue (1): 155-160.doi: 10.13474/j.cnki.11-2246.2025.0126

• 技术交流 • 上一篇    下一篇

轻量化无线倾角测量系统关键技术开发及工程应用

兰天龙1, 孙兴宇1, 周迎春1, 鲁来强2, 王建民2   

  1. 1. 内蒙古蒙泰不连沟煤业有限责任公司地测防治水部, 内蒙古 鄂尔多斯 017100;
    2. 太原理工大学矿业工程学院, 山西 太原 030024
  • 收稿日期:2024-05-10 发布日期:2025-02-09
  • 通讯作者: 王建民。E-mail:wangJianmin@tyut.edu.cn
  • 作者简介:兰天龙(1988—),男,工程师,主要从事煤矿数字化测绘技术工作。E-mail:124545440@qq.com
  • 基金资助:
    山西省自然科学基金(202203021211172);华电煤业2023科技项目(CHDKJ22-02-37)

Key technologies development and engineering applications of lightweight wireless tilt angle measurement system

LAN Tianlong1, SUN Xingyu1, ZHOU Yingchun1, LU Laiqiang2, WANG Jianmin2   

  1. 1. Department of Geological Survey Water Prevention and Control, Inner Mongolia Mengtai Buliangou Coal Industry Co.,Ltd., Ordos 017100,China;
    2. College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China
  • Received:2024-05-10 Published:2025-02-09

摘要: 输煤栈桥在自身运载和外界环境作用下难免会发生倾斜,针对传统输煤栈桥监测方法效率低、成本高、实时性较差的问题,本文基于MEMS三轴重力加速度传感器倾角测量原理,设计了轻量化无线倾角实时测量系统。综合应用射频技术(BF)和4G CAT.1技术实现现场近距离无线数据采集和远程无线传输,系统具有轻量化、低功耗、高精度、安装快速等特点。经试验测试,该测量系统稳定可靠,在静态环境中倾角测量精度可达0.002°,结合物联网云平台可(近)实时监测输煤栈桥的倾斜姿态。应用结果表明,通过滤波回归算法有效去除了由皮带震颤引起的环境噪声,无线倾角测量系统的精度可达0.01°;当累计倾角大于0.18°时,及时发出预警信息,保障了输煤栈桥的稳定运行。

关键词: 倾斜监测, 输煤栈桥, 无线倾角仪, 实时在线监测

Abstract: The coal transporting trestle is inevitably prone to tilting under its own load and external environmental influences. To address the inefficiencies, high costs, and poor real-time performance of traditional coal conveying gantry monitoring methods, a lightweight wireless inclination real-time measurement system is designed based on the principle of inclination measurement using MEMS three-axis gravity acceleration sensors. By integrating radio frequency (RF) technology and 4G CAT.1 technology, the system achieves on-site short-range wireless data acquisition and remote wireless transmission, featuring characteristics such as lightweight, low power consumption, high precision, and quick installation. Experimental tests demonstrate the stability and reliability of this measurement system, with an inclination measurement accuracy of up to 0.002° in static environments. Combined with internet of things (IoT) cloud platforms, this system can monitor the tilting attitude of the coal transporting trestle in (near) real-time. Application results indicate that the wireless inclination measurement system achieves an accuracy of 0.01° by effectively removing environmental noise generated by belt vibration through filtering regression algorithms. It promptly issues warning messages when the cumulative tilt exceeds 0.18°, ensuring the stable operation of the coal transporting trestle.

Key words: inclination monitoring, coal transporting trestle, wireless inclinometer, real time online monitoring

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