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基于TDC-GP22的高精度声速仪设计与实现OA

Design and Implementation of a High-Precision Sound Velocity Meter Based on TDC-GP22

中文摘要英文摘要

在海洋资源勘测和环境监测活动中,常需要准确测量水下声速信息.利用TDC-GP22 设计了一种低成本的小型化声速仪,针对飞行时间(Time of Flight,TOF)法测声速过程中存在的超声波衰减等问题,提出了一种基于首波脉冲宽度的可变阈值算法,根据回波信号的首波脉冲宽度值动态调整检测阈值,提高了测量结果的稳定性.同时通过分析声速测量过程中的常见误差来源,在系统动态标定环节设计了一种基于RBF神经网络的温度补偿算法,校准了温度带来的换能器频率偏移以及声电延时等误差.在不同温盐条件下的声速测量结果表明该系统能以较低的成本获取高精度水下声速信息.

In marine resource exploration and environmental monitoring activities,accurate measurement of underwater sound velocity in-formation is often required.A low-cost miniaturized sound velocity instrument is designed by using TDC-GP22.In response to the prob-lems of ultrasonic attenuation of the time of flight(TOF)method for measuring sound velocity,a variable threshold algorithm based on the first wave pulse width is proposed,which dynamically adjusts the detection threshold based on the first wave pulse width value of the echo signal,improving the stability of the measurement results.At the same time,by analyzing the common sources of errors in the sound velocity measurement process,a temperature compensation algorithm based on RBF neural network is designed in the dynamic calibration process of the system,which calibrates the frequency offset of the transducer and the acoustic electric delay caused by tem-perature.The sound velocity measurement results under different temperature and salt conditions indicate that the system can obtain high-precision underwater sound velocity information at a lower cost.

赵冬冬;王磊;陈朋;李亦然;吕成财

浙江工业大学计算机科学与技术学院,浙江 杭州 310023浙江工业大学计算机科学与技术学院,浙江 杭州 310023浙江工业大学计算机科学与技术学院,浙江 杭州 310023浙江工业大学计算机科学与技术学院,浙江 杭州 310023中国科学院深海科学与工程研究所,海南 三亚 572000

信息技术与安全科学

声速仪声速测量TDC-GP22超声波首波检测RBF神经网络

sound velocity metersound velocity measurementTDC-GP22ultrasoundfirst wave detectionRBF neural network

《传感技术学报》 2026 (1)

1-9,9

国家自然科学基金项目(62576316,62371421,62001418)浙江省自然科学基金项目(LQ21F010011)

10.3969/j.issn.1004-1699.2026.01.001

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