首页|基于移动机器人的矿山带式输送机自动检测方法

基于移动机器人的矿山带式输送机自动检测方法

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目前,传统的带式输送机检测方法主要依靠人工巡检,存在人力成本高、效率低、易出错、漏检等问题.为此,提出了一种基于移动机器人的矿山带式输送机自动检测方法,使用移动机器人沿着带式输送机巡检,通过搭载的传感器和相机对带式输送机进行自动化检测,收集维修检查员所需的包括RGB图像等信息.将移动机器人的自动检测方法划分为 4 个关键部分,具体包括确定检测目标和参数、设计移动机器人的传感器和数据处理系统、制定检测路径和策略以及实时监测和报警处理.据此将矿山带式输送机自动检测过程分为移动机器人自动导航、移动机器人自动检测以及数据上传 3 个步骤.在模拟实际矿山生产环境中,对移动机器人的自动导航功能以及故障检测效率进行了试验分析.结果表明:所提方法有助于高效、准确地检测带式输送机状态,在检测到异常情况时及时报警,可为确保矿山安全生产提供一定的技术支持.
Automatic Detection Method of Mine Belt Conveyor Based on Mobile Robot
At present,the traditional belt conveyor inspection method mainly relies on manual inspection,which has some problems such as high labor cost,low efficiency,easy to make mistakes and missing inspection.Therefore,an automatic detec-tion method of mine belt conveyor based on mobile robot is proposed.Mobile robot is used to inspect along the belt conveyor,and the belt conveyor is automatically detected by the mounted sensor and camera,and the information including RGB images required by maintenance inspectors is collected.The automatic detection method of mobile robot is divided into four key parts,including determining the detection target and parameters,designing the sensor and data processing system of mobile robot,de-veloping the detection path and strategy,and real-time monitoring and alarm processing.According to this,the automatic detec-tion process of mine belt conveyor is divided into three steps:automatic navigation of mobile robot,automatic detection of mo-bile robot and data upload.The automatic navigation function and fault detection efficiency of mobile robot are tested in simula-ted mine production environment.The results show that the proposed method is helpful to detect the belt conveyor state effi-ciently and accurately,and alarm in time when abnormal conditions are detected,which provides certain technical support for ensuring the safety of mine production.

mobile robotautomatic dectionbelt conveyorintelligent mine

冯亚军、郑金松、许路成

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忻州职业技术学院机电系,山西 忻州 034000

河南理工大学鹤壁工程技术学院,河南 鹤壁 458030

山西工程科技职业大学智能制造学院,山西 晋中 030619

移动机器人 自动检测 带式输送机 智能矿山

河南省科技攻关计划

212102310488

2024

金属矿山
中钢集团马鞍山矿山研究院 中国金属学会

金属矿山

CSTPCD北大核心
影响因子:0.935
ISSN:1001-1250
年,卷(期):2024.(3)
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