|本期目录/Table of Contents|

[1]张文政,李岳,韩文杰.基于超声波测距的皮带载物状态监测研究*[J].中国安全生产科学技术,2025,21(8):103-109.[doi:10.11731/j.issn.1673-193x.2025.08.013]
　ZHANG Wenzheng,LI Yue,HAN Wenjie.Research on status monitoring of belt load based on ultrasonic ranging[J].Journal of Safety Science and Technology,2025,21(8):103-109.[doi:10.11731/j.issn.1673-193x.2025.08.013]
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基于超声波测距的皮带载物状态监测研究*

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年8期
页码:
103-109
栏目:
职业安全卫生管理与技术
出版日期:
2025-08-30

文章信息/Info

Title:
Research on status monitoring of belt load based on ultrasonic ranging
文章编号:
1673-193X(2025)-08-0103-07
作者:
张文政; 李岳; 韩文杰
（1.国能神东煤炭集团有限责任公司大柳塔煤矿，陕西 榆林 719315；
2.中煤科工集团重庆研究院有限公司，重庆 400039）
Author(s):
ZHANG Wenzheng;  LI Yue;  HAN Wenjie
(1.Daliuta Coal Mine,CHN Energy Shendong Coal Group Co.,Ltd.,Yulin Shaanxi 719315,China;
2.CCTEG Chongqing Research Institute,Chongqing 400039,China）
关键词:
超声波测距; 皮带载物; 状态监测; 渡越时间检测法; 自相关系数
Keywords:
ultrasonic ranging;  belt load;  status monitoring;  time-of-flight detection method;  autocorrelation coefficient
分类号:
X913；X936
DOI:
10.11731/j.issn.1673-193x.2025.08.013
文献标志码:
A
摘要:
针对矿井皮带运输系统载物状态监测精准度不足问题，提出1种基于超声波测距的非接触式皮带载物状态监测方法。该方法以超声波测距渡越时间检测法为核心，结合算数平均滤波技术对采集数据进行预处理，并利用自相关系数与预设阈值的比较，实现对皮带停止、空转及运煤状态的精准识别。实验室与现场试验研究结果表明：MBUR法在不同工况下均表现出优异的适应性与鲁棒性，其监测准确率高达96%以上，可为矿井智能化安全生产提供技术支持。
Abstract:
In order to address the insufficient accuracy in load status monitoring for mine belt conveyor systems,this study proposed a non-contact belt load status monitoring method based on ultrasonic ranging.Centered on the time-of-flight ultrasonic ranging technique,the method incorporates arithmetic mean filtering for preprocessing collected data.By comparing autocorrelation coefficients with preset thresholds,it achieves precise identification of belt statuses—interdictory,idling,and coal-transporting.The results of laboratory and field tests demonstrate that the proposed MBUR method exhibits excellent adaptability and robustness across various working conditions,with monitoring accuracy exceeding 96%,thereby providing technical support for intelligent and safe production in mines.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2024-10-25
* 基金项目： 中国神华能源股份有限公司神东煤炭分公司科技创新项目（E21010028503）;国家重点研发计划项目（2023YFC2509300）
作者简介： 张文政，硕士，工程师，主要研究方向为矿井粉尘防治。
通信作者： 李岳，硕士，助理研究员，主要研究方向为智能化降尘。
更新日期/Last Update: 2025-09-01