|本期目录/Table of Contents|

[1]罗前刚.基于动态波形互相关算法的风速传感器的研究[J].工业仪表与自动化装置,2021,(03):105-108+130.[doi:1000-0682(2021)03-0000-00]
 LUO Qiangang.Research on wind speed sensor based on dynamic waveform cross-correlation algorithm[J].Industrial Instrumentation & Automation,2021,(03):105-108+130.[doi:1000-0682(2021)03-0000-00]
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基于动态波形互相关算法的风速传感器的研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2021年03期
页码:
105-108+130
栏目:
出版日期:
2021-06-15

文章信息/Info

Title:
Research on wind speed sensor based on dynamic waveform cross-correlation algorithm
作者:
罗前刚12
1.中煤科工集团重庆研究院有限公司;
2.瓦斯灾害监控与应急技术国家重点实验室, 重庆 400039
Author(s):
LUO Qiangang 12
1.China Coal Technology Engineering Group Chongqing Research Institute;2.State Key Laboratory of Gas Disaster Detecting, Preventing and Emergency Controlling, Chongqing 400039,China
关键词:
超声波风速传感器渡越时间阈值法互相关动态参考波形
Keywords:
ultrasonic wind speed sensor transit time threshold method cross-correlation dynamic reference waveform
分类号:
TP212
DOI:
1000-0682(2021)03-0000-00
文献标志码:
A
摘要:
针对超声波渡越时间检测中采用阈值法易受噪声干扰等问题,采用互相关算法进行回波到达时间检测。在超声波信号处理算法中,选取实时动态参考波形与接收波形进行互相关运算,实现风速测量。相比回波法和静态参考波形法,该方法可以有效克服环境因素变化引起超声波包络形状改变导致的相关性下降。在自主设计的超声波风速传感器上进行温度试验和音速喷嘴气体流量标准装置标定,试验结果表明该方法具有良好的测量准确性与环境适应能力。
Abstract:
Aiming at the problem that the threshold method is susceptible to noise interference in the ultrasonic transit time detection, uses the cross-correlation algorithm to detect the echo arrival time. In the ultrasonic signal processing algorithm, the real-time dynamic reference waveform and the received waveform are selected for cross-correlation calculation to achieve wind speed measurement. Compared with the echo method and the static reference waveform method, this method can effectively overcome the drop in correlation caused by the change of the ultrasonic envelope shape caused by the change of environmental factors. The temperature test and the calibration of the sonic nozzle gas flow standard device are carried out on the self-designed ultrasonic wind speed sensor. The test results show that the method has good measurement accuracy and environmental adaptability.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2020-10-09
项目基金:天地科技股份有限公司科技创新创业专项项目资金资助(2019-TD-QN030)
作者简介:罗前刚(1982),男,重庆人,学士,工程师,主要研究方向为煤矿安全监测技术及应用工艺研究。
更新日期/Last Update: 1900-01-01