{"title":"利用调制泵光动态温度响应的高精度风速传感器","authors":"Dian Fan;Jialing Yu;Zhen Pan;Wenjia Chen;Ting Xu;Ciming Zhou","doi":"10.1109/JSEN.2024.3470889","DOIUrl":null,"url":null,"abstract":"A high-precision wind speed sensor is designed and experimentally verified in this article. Using modulated pump light to heat the cobalt-doped fiber results in a dynamic temperature response in the wind speed sensor. Wind speeds are related to the amplitudes of the dynamic temperature response rather than the static steady-state temperature, which enhances measurement precision. The response sensitivity is higher under lower wind speeds. The temperature of the cobalt-doped fiber rises as it absorbs the pump light energy and then drops when the pump light is turned off. The center wavelength of the fiber Bragg grating (FBG) exhibits periodic shifts with temperature variations. A part of the sensor’s heat is taken away in a wind field, which causes various temperature response amplitudes under the same pump light energy. The amplitudes of the FBG center wavelength vary with different wind speeds. By using the edge-filtering intensity demodulation method, the wavelength variation amplitudes with temperature are converted into the amplitudes of the photodetector’s output voltage variation. The specific relationship between the amplitudes of voltage variation and wind speeds is used to measure wind speed. Measurements were taken within a wind speed range of 0–3 m/s. Experimental results demonstrate that the sensor has good repeatability and stability. Its sensitivity can reach −9.79 mV/(m\n<inline-formula> <tex-math>$\\cdot $ </tex-math></inline-formula>\ns\n<inline-formula> <tex-math>$^{-{1}}$ </tex-math></inline-formula>\n) at low wind speeds. The error stays below 0.03 m/s within the range of 0–0.5 m/s.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"36910-36915"},"PeriodicalIF":4.3000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A High-Precision Wind Speed Sensor Using Modulated Pump Light Dynamic Temperature Response\",\"authors\":\"Dian Fan;Jialing Yu;Zhen Pan;Wenjia Chen;Ting Xu;Ciming Zhou\",\"doi\":\"10.1109/JSEN.2024.3470889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A high-precision wind speed sensor is designed and experimentally verified in this article. Using modulated pump light to heat the cobalt-doped fiber results in a dynamic temperature response in the wind speed sensor. Wind speeds are related to the amplitudes of the dynamic temperature response rather than the static steady-state temperature, which enhances measurement precision. The response sensitivity is higher under lower wind speeds. The temperature of the cobalt-doped fiber rises as it absorbs the pump light energy and then drops when the pump light is turned off. The center wavelength of the fiber Bragg grating (FBG) exhibits periodic shifts with temperature variations. A part of the sensor’s heat is taken away in a wind field, which causes various temperature response amplitudes under the same pump light energy. The amplitudes of the FBG center wavelength vary with different wind speeds. By using the edge-filtering intensity demodulation method, the wavelength variation amplitudes with temperature are converted into the amplitudes of the photodetector’s output voltage variation. The specific relationship between the amplitudes of voltage variation and wind speeds is used to measure wind speed. Measurements were taken within a wind speed range of 0–3 m/s. Experimental results demonstrate that the sensor has good repeatability and stability. Its sensitivity can reach −9.79 mV/(m\\n<inline-formula> <tex-math>$\\\\cdot $ </tex-math></inline-formula>\\ns\\n<inline-formula> <tex-math>$^{-{1}}$ </tex-math></inline-formula>\\n) at low wind speeds. The error stays below 0.03 m/s within the range of 0–0.5 m/s.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"24 22\",\"pages\":\"36910-36915\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10721337/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10721337/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
本文设计并实验验证了一种高精度风速传感器。利用调制泵浦光加热掺钴光纤可在风速传感器中产生动态温度响应。风速与动态温度响应的振幅而非静态稳态温度相关,从而提高了测量精度。在风速较低时,响应灵敏度较高。掺钴光纤在吸收泵浦光能量时温度上升,关闭泵浦光后温度下降。光纤布拉格光栅(FBG)的中心波长会随着温度的变化而出现周期性偏移。传感器的部分热量被风场带走,从而导致在相同泵浦光能量下产生不同的温度响应振幅。FBG 中心波长的振幅随不同的风速而变化。利用边缘滤波强度解调方法,可将波长随温度变化的幅度转换为光电探测器输出电压变化的幅度。电压变化幅度与风速之间的特定关系用于测量风速。测量的风速范围为 0-3 米/秒。实验结果表明,该传感器具有良好的重复性和稳定性。在低风速下,其灵敏度可达 -9.79 mV/(m $\cdot $ s $^{-{1}}$ )。在 0-0.5 m/s 的范围内,误差保持在 0.03 m/s 以下。
A High-Precision Wind Speed Sensor Using Modulated Pump Light Dynamic Temperature Response
A high-precision wind speed sensor is designed and experimentally verified in this article. Using modulated pump light to heat the cobalt-doped fiber results in a dynamic temperature response in the wind speed sensor. Wind speeds are related to the amplitudes of the dynamic temperature response rather than the static steady-state temperature, which enhances measurement precision. The response sensitivity is higher under lower wind speeds. The temperature of the cobalt-doped fiber rises as it absorbs the pump light energy and then drops when the pump light is turned off. The center wavelength of the fiber Bragg grating (FBG) exhibits periodic shifts with temperature variations. A part of the sensor’s heat is taken away in a wind field, which causes various temperature response amplitudes under the same pump light energy. The amplitudes of the FBG center wavelength vary with different wind speeds. By using the edge-filtering intensity demodulation method, the wavelength variation amplitudes with temperature are converted into the amplitudes of the photodetector’s output voltage variation. The specific relationship between the amplitudes of voltage variation and wind speeds is used to measure wind speed. Measurements were taken within a wind speed range of 0–3 m/s. Experimental results demonstrate that the sensor has good repeatability and stability. Its sensitivity can reach −9.79 mV/(m
$\cdot $
s
$^{-{1}}$
) at low wind speeds. The error stays below 0.03 m/s within the range of 0–0.5 m/s.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice