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用于地质钻探的分级自供电振动传感器的研究

Research on a Graded Self-Powered Vibration Sensor for Geological Drilling.

作者信息

Zhang Jingui, Wu Chuan

机构信息

School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Faculty of Mechanical and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.

出版信息

Micromachines (Basel). 2025 Aug 10;16(8):921. doi: 10.3390/mi16080921.

Abstract

Downhole vibration measurement is a key link for optimizing drilling parameters and ensuring operational safety; however, powering conventional vibration sensors reduces drilling efficiency and increases drilling costs. This paper introduces a triboelectric nanogenerator-based, graded, and self-powered vibration sensor designed for geological drilling, enabling the concurrent measurement of vibration frequency and amplitude. Experimental results show that the sensor has a measurement range for vibration frequency from 0 Hz to 11 Hz and can measure amplitude thresholds of 10 mm, 25 mm, 40 mm, and 55 mm. The measurement errors for both vibration frequency and amplitude are less than 3%, and it can operate stably under conditions of temperature below 150 °C and humidity below 90%, demonstrating good environmental adaptability. Furthermore, the sensor has self-powering capabilities, with a maximum output voltage reaching 11.8 V, a peak current of 28 nA, and a peak output power of 4 × 10 W into an external resistance of 6 × 10 Ω. In contrast to conventional downhole vibration sensors, this device integrates self-powering with graded amplitude detection, enhancing its suitability for real-world drilling applications.

摘要

井下振动测量是优化钻井参数和确保作业安全的关键环节;然而,为传统振动传感器供电会降低钻井效率并增加钻井成本。本文介绍了一种基于摩擦电纳米发电机的、分级的、自供电振动传感器,专为地质钻探设计,能够同时测量振动频率和振幅。实验结果表明,该传感器的振动频率测量范围为0 Hz至11 Hz,可测量的振幅阈值为10 mm、25 mm、40 mm和55 mm。振动频率和振幅的测量误差均小于3%,并且在温度低于150°C和湿度低于90%的条件下能够稳定运行,显示出良好的环境适应性。此外,该传感器具有自供电能力,在接入6×10Ω的外部电阻时,最大输出电压达到11.8 V,峰值电流为28 nA,峰值输出功率为4×10 W。与传统井下振动传感器相比,该装置将自供电与分级振幅检测相结合,增强了其在实际钻井应用中的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1bd/12388217/e62fe73bd5fe/micromachines-16-00921-g001.jpg

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