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基于ZYNQ的高精度震动探测系统设计OACSTPCD

Design of high-precision vibration detection system based on ZYNQ

中文摘要英文摘要

在地下浅层爆炸震动探测中,测试环境噪声大,并且爆炸地震波信号频率较高,而常规的地震探测仪器底噪较大、采样率较低,难以满足爆炸震动探测需求,因此,本文设计了一种基于ZYNQ的震动探测系统.首先,采用高精度传感器ADXL354B获取爆炸震动信号,并设计调理电路滤除高频噪声,提高信号获取精度,同时采用高精度、高采样率的24位模/数转换器AD7768进行数据转换;然后,在ZYNQ芯片的PL部分进行逻辑设计,在PS部分使用驱动分离的方式定制Linux系统进行数据处理和传输;最后,搭建半实物仿真平台对震动探测节点进行功能验证.实验结果表明,该系统在采样率与系统噪声方面优于国内同类地震勘探仪器,最高能够以256 ksps、24位、八通道同步采集加速度信号,并实时传输至上位机,该成果在地下浅层震动探测领域具有较高的应用价值.

In the detection of shallow underground explosion-induced vibrations,the test environment noise is large,and the signal fre-quency of the explosion-induced seismic waves is relatively high.However,conventional seismic detection instruments have larger back-ground noise and lower sampling rates,making it difficult to meet the needs of explosion-induced vibration detection.Therefore,a vibra-tion detection system is designed based on ZYNQ.Firstly,a high-precision sensor ADXL354B is used to acquire explosion-induced vibra-tion signals.A conditioning circuit is designed to filter out high-frequency noise and improve the signal acquisition accuracy.At the same time,a high-precision and high-sampling rate 24 bit analog-to-digital converter AD7768 is used for data conversion.Then,the logic design is carried out in the PL part of the ZYNQ chip,and the PS part uses the driving separation method to customize a Linux system for data processing and transmission.Finally,a semi-physical simulation platform is built to functionally verify the vibration detection node.The experimental results show that the system is superior to domestic similar seismic exploration instruments in terms of sampling rate and system noise.It can synchronously collect acceleration signals at a maximum of 256 ksps,24 bits,and 8 channels and transmit them in re-al-time to the host computer.This result has strong application value in the field of shallow underground vibration detection.

贺斌;李剑;庞润嘉;曾援;魏晓曼;马明星

中北大学省部共建动态测试技术国家重点实验室,太原 030051||中北大学信息探测与处理山西省重点实验室,太原 030051

电子信息工程

ZYNQ震动探测AXI4-Stream多通道采集Linux

ZYNQvibration detectionAXI4-Streammulti-channel acquisitionLinux

《集成电路与嵌入式系统》 2024 (008)

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国家自然基金面上科学基金—地下浅层大区域稀疏数据下P波能量场全时空层析成像方法研究(62271453).

10.20193/j.ices2097-4191.2023.0009

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