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基于粒子阻尼传感器的钢丝绳张力动态监测研究。

Study on Dynamic Monitoring of Wire Rope Tension Based on the Particle Damping Sensor.

机构信息

School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.

出版信息

Sensors (Basel). 2019 Jan 18;19(2):388. doi: 10.3390/s19020388.

DOI:10.3390/s19020388
PMID:30669337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6358960/
Abstract

Real-time monitoring of wire rope tension is of great significance to the safe operation of mine hoist. Due to the longitudinal and lateral coupling vibration of wire ropes during the operation of hoist, there are high frequency components in measured tension signals of wire ropes, which cannot effectively characterize the actual lifting load. To overcome this problem, a particle damping sensor with a vibration dissipation function is designed in this paper. Multilayered steel balls are placed into the cylindrical cavity of the sensor. Damping vibration and energy dissipation will occur when the sensor is subjected to external excitation. Then, to obtain the optimal sensor characteristics, relevant parameters of the particles and the spoke structure are simulated. Finally, the sensor based on the optimized parameters is manufactured and tested in a coal mine. Compared with the general pressure sensor, the particle damping sensor can effectively eliminate the influence of wire ropes vibration on tension measurement and achieve accurate measurement results.

摘要

钢丝绳张力的实时监测对矿井提升机的安全运行具有重要意义。由于提升机运行过程中钢丝绳存在纵向和横向耦合振动,钢丝绳张力的测量信号中存在高频分量,无法有效表征实际提升载荷。为克服这一问题,本文设计了一种具有减振功能的颗粒阻尼传感器。传感器的圆柱形腔体内放置多层钢球,当传感器受到外部激励时,会发生阻尼减振和能量耗散。然后,为了获得最优的传感器特性,对颗粒和辐条结构的相关参数进行了模拟。最后,在煤矿中对基于优化参数的传感器进行了制造和测试。与普通压力传感器相比,颗粒阻尼传感器可以有效消除钢丝绳振动对张力测量的影响,实现准确的测量结果。

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Multi-Sensor Detection with Particle Swarm Optimization for Time-Frequency Coded Cooperative WSNs Based on MC-CDMA for Underground Coal Mines.基于MC-CDMA的煤矿井下时频编码协作无线传感器网络的粒子群优化多传感器检测
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