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A Novel Acoustic Filtering Sensor for Real-Time Tension Monitoring of Hoist Wire Ropes

机译:新型声学过滤传感器用于提升钢丝绳的实时张力监测

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摘要

The real-time tension monitoring of wire ropes is a universal way to judge whether the hoist is overloaded in the special working environment of the coal mine. However, due to the strong drafts, unevenness of guide and flexible vibration of wire ropes, it is a challenge to monitor the tension with high accuracy. For this purpose, a new type of acoustic filtering sensor is designed in this study. To adapt to the violent vibration during the monitoring process, a structure with a cylindrical cavity and a narrow gap is designed in the sensor. The coupling between the internal fluid and sensor structure can greatly absorb the vibration energy. With the view of optimizing the filtering performance of the sensor, the influences on the filtering characteristics are presented and analyzed through employing different structural and acoustic parameters in simulations. Finally, acoustic filtering sensor prototypes based on optimized parameters are calibrated and tested in a real coal mine. The results have revealed that our acoustic filtering sensor can not only address the deficiencies of current pressure sensors in coal mining and achieve tension monitoring in real-time, but is also able to diagnose and forecast the occurrence of tension imbalance accidents.
机译:钢丝绳的实时张力监控是判断葫芦在煤矿特殊工作环境中是否超载的通用方法。然而,由于强力的牵伸,导向的不均匀和钢丝绳的灵活振动,以高精度监测张力是一个挑战。为此,本研究设计了一种新型的声过滤传感器。为了适应监视过程中的剧烈振动,在传感器中设计了具有圆柱形空腔和狭窄间隙的结构。内部流体和传感器结构之间的耦合可以极大地吸收振动能量。为了优化传感器的滤波性能,通过在仿真中采用不同的结构和声学参数,提出并分析了对滤波特性的影响。最后,在真实的煤矿中对基于优化参数的声过滤传感器原型进行校准和测试。结果表明,我们的声波滤波传感器不仅可以解决当前煤矿开采中压力传感器的不足,并可以实时进行张力监测,而且可以诊断和预测张力不平衡事故的发生。

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