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具有恒功率控制的热风速传感器设计及风矢量测量方法。

Design of thermal wind sensor with constant power control and wind vector measurement method.

机构信息

The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, School of Measurement-Control Technology & Communications Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang, China.

School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China.

出版信息

PLoS One. 2020 Apr 14;15(4):e0231405. doi: 10.1371/journal.pone.0231405. eCollection 2020.

DOI:10.1371/journal.pone.0231405
PMID:32287322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7156081/
Abstract

This paper presents a conceptual wind vector detector for measuring the velocity and direction of wind in enclosed or semi-enclosed large spaces. Firstly, a thermal wind sensor with constant power control was manufactured and then used as a wind velocity sensing unit. Secondly, a sensor bracket equipped with three thermal wind sensors was designed, the fluid dynamic response regularity of the measured wind field to the sensor bracket was analyzed using ANSYS Fluent CFD software, and then its structural parameters were optimized to improve measurement accuracy. The sensor bracket was fabricated via 3D printing. Finally, a unique wind vector measurement method was developed for the wind vector detector. Experimental results showed that the measured velocity range of the thermal wind sensor satisfied the requirements of being within 0-15 m/s with an accuracy of ±0.3 m/s, and the wind direction angle range of the wind vector detector was within 0-360° with an accuracy of ±5°. By changing the applied power control value of the thermal wind sensor and structural parameters of the sensor bracket, the measurement range and accuracy of the wind vector detector can be adjusted to suit different applications.

摘要

本文提出了一种用于测量封闭或半封闭大空间中风速和风向的概念性风向矢量探测器。首先,制造了一个具有恒功率控制的热线风速传感器,然后将其用作风速感测单元。其次,设计了一个带有三个热线风速传感器的传感器支架,使用 ANSYS Fluent CFD 软件分析了测量风场对传感器支架的流体动力响应规律,然后对其结构参数进行了优化,以提高测量精度。通过 3D 打印制造了传感器支架。最后,为风向矢量探测器开发了一种独特的风向矢量测量方法。实验结果表明,热线风速传感器的测量速度范围满足 0-15 m/s 的要求,精度为±0.3 m/s,风向矢量探测器的风向角度范围为 0-360°,精度为±5°。通过改变热线风速传感器的应用功率控制值和传感器支架的结构参数,可以调整风向矢量探测器的测量范围和精度,以适应不同的应用。

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Sensors (Basel). 2018 Apr 23;18(4):1300. doi: 10.3390/s18041300.
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5
Sensing of minute airflow motions near walls using pappus-type nature-inspired sensors.利用类似种子冠毛的自然启发式传感器感知壁面附近的微小气流运动。
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6
Measuring fast-temporal sediment fluxes with an analogue acoustic sensor: a wind tunnel study.利用模拟声传感器测量快速时间泥沙通量:风洞研究。
PLoS One. 2013 Sep 18;8(9):e74007. doi: 10.1371/journal.pone.0074007. eCollection 2013.
7
Wind speed perception and risk.风速感知与风险。
PLoS One. 2012;7(11):e49944. doi: 10.1371/journal.pone.0049944. Epub 2012 Nov 30.
8
Wind velocities on venus: vector determination by radio interferometry.金星上的风速:无线电干涉测量法的矢量测定。
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9
Characteristics of coal mine ventilation air flows.煤矿通风气流的特性
J Environ Manage. 2008 Jan;86(1):44-62. doi: 10.1016/j.jenvman.2006.11.025. Epub 2007 Jan 18.