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基于ZYNQ的高精度震动探测系统设计

贺斌 李剑 庞润嘉 曾援 魏晓曼 马明星

集成电路与嵌入式系统2024,Vol.24Issue(8):44-50,7.
集成电路与嵌入式系统2024,Vol.24Issue(8):44-50,7.DOI:10.20193/j.ices2097-4191.2023.0009

基于ZYNQ的高精度震动探测系统设计

Design of high-precision vibration detection system based on ZYNQ

贺斌 1李剑 1庞润嘉 1曾援 1魏晓曼 1马明星1

作者信息

  • 1. 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
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摘要

Abstract

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.

关键词

ZYNQ/震动探测/AXI4-Stream/多通道采集/Linux

Key words

ZYNQ/vibration detection/AXI4-Stream/multi-channel acquisition/Linux

分类

信息技术与安全科学

引用本文复制引用

贺斌,李剑,庞润嘉,曾援,魏晓曼,马明星..基于ZYNQ的高精度震动探测系统设计[J].集成电路与嵌入式系统,2024,24(8):44-50,7.

基金项目

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). (62271453)

集成电路与嵌入式系统

OACSTPCD

1009-623X

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