[1]胡章博,黄忠初,王宇庭,等.基于复阻抗的低功耗叶片覆冰监测传感器设计[J].工业仪表与自动化装置,2025,(05):47-52.[doi:10.19950/j.cnki.CN61-1121/TH.2025.05.009]
 HU Zhangbo,HUANG Zhongchu,WANG Yuting,et al.Design of low-power blade icing monitoring sensor based on complex impedance[J].Industrial Instrumentation & Automation,2025,(05):47-52.[doi:10.19950/j.cnki.CN61-1121/TH.2025.05.009]
点击复制

基于复阻抗的低功耗叶片覆冰监测传感器设计()

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

卷:
期数:
2025年05期
页码:
47-52
栏目:
出版日期:
2025-10-15

文章信息/Info

Title:
Design of low-power blade icing monitoring sensor based on complex impedance
文章编号:
1000-0682(2025)05-0047-06
作者:
胡章博1黄忠初1王宇庭1何立夫1肖利涛2陈碧雨2
1.中国三峡武汉科创园,湖北 武汉 430010;2.湖北能源集团新能源发展有限公司,湖北 武汉 430070
Author(s):
HU Zhangbo1 HUANG Zhongchu1 WANG Yuting1 HE Lifu1 XIAO Litao2 CHEN Biyu2
1.China Three Gorges Wuhan Science and Technology Innovation Park, Hubei Wuhan 430010; 2. Hubei Energy Group New Energy Development Co., LTD, Hubei Wuhan 430070
关键词:
叶片覆冰监测复阻抗特性低功耗无线无源柔性薄膜化
Keywords:
monitoring of blade ice cover complex impedance measurement of ice thickness low power consumption wireless passive flexible thin filming
分类号:
TM934.73TH73
DOI:
10.19950/j.cnki.CN61-1121/TH.2025.05.009
文献标志码:
A
摘要:
针对风机叶片覆冰监测设备布线难、体积大、影响气动性能等问题,基于复阻抗结冰探测技术,设计了一种无线无源柔性薄膜化叶片覆冰监测传感器。采用太阳能电池供电与LoRa无线通信技术相结合,有效解决了传统监测设备的布线安装难题。设计三层式工艺结构,实现了传感器柔性薄膜化。采用多种低功耗运行策略,显著提升了系统的续航能力和运行稳定性。试验结果表明:传感器环境温度测量精度达到1.9%,冰厚测量的均方根误差低至0.103 mm;在无光照环境下传感器能持续工作超过1000小时,且不影响风机叶片的气动性能。传感器的精度、续航时间和环境适应性均满足叶片现场应用要求。
Abstract:
Aiming at the difficult wiring, large size, and impact on aerodynamic performance of wind blade icing monitoring device, a wireless passive flexible thin-film sensor designed to monitor the state of blade icing Based on complex impedance icing detection technology. The combination of solar battery power supply and LoRa wireless communication technology effectively solves the wiring and installation problems of monitoring equipment. A three-layer structure designed, which enables flexible and thin-film sensors. Various low-power operation strategies are adopted to significantly improve the endurance and stability of the system. The experimental results indicate that the accuracy of environmental temperature measurement reaches 1.9% and the root mean square error of ice thickness measurement is as low as 0.103mm. The sensor can work for more than 1,000 hours under the environment of no light. It does not affect the aerodynamic performance of wind blades. The accuracy, endurance and environmental adaptability of the sensor meet the requirements of wind blade field applications.

参考文献/References:

[1] WEI K X, YANG Y E, ZUO H Y, et al. A review on ice detection technology and ice elimination technology for wind turbine[J]. Wind Energy, 2020, 23(3): 433-457.

[2] 沈学利, 杨莹, 秦鑫宇, 等. 基于残差神经网络的风机叶片结冰故障诊断[J]. 噪声与振动控制, 2022, 42(1): 79.
[3] Guo P, Infield D. Wind turbine blade icing detection with multi-model collaborative monitoring method[J]. Renewable Energy, 2021,179:1098-1105.
[4] 刘庆超, 郭鹏, 张伟, 等. 多参数模型风电机组叶片结冰监测与预警研究[J]. 太阳能学报, 2022, 43(2): 402-407.
[5] 郝艳捧,刘国特,薛艺为,等.输电线路覆冰厚度的小波分析图像识别[J].高压电技术,2014,40(2): 368-373.
[6] Gui X, Zeng F, Gao J, et al. Detection of Aircraft wing icing and de-icing by optical fiber sensing with FBG array[J]. Measurement, 2025: 116748.
[7] MAIO L,MOLL J,MEMMOLO V,et al. Ultrasonic inspection for ice accretion assessment:effects on direct wave propagation in composite media[J]. Mechanical Systems and Signal Processing,2022,173:109025.
[8] GUI K, LIU J Y, GE J F, et al. Atmospheric icing process measurement utilizing impedance spectroscopy and thin film structure[J]. Measurement, 2022, 202: 111851.
[9] NEUMAYER M, BRETTERKLIEBER T, FLATSCHER M. Signal processing for capacitive ice sensing: electrode topology and algorithm design[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 68(5): 1458-1466.
[10] 赵伟伟 基于压电材料的飞机结冰探测系统[D]. 南京:南京航空航天大学,2018.
[11] 任宏宇,苑丹丹,桂康,等. 复阻抗式结冰探测技术的温度补偿方法研究. 仪器仪表学报[J]. 2023, 28(6):88-94.
[12] 刘庆超,郭鹏,等. 多参数模型风电机组叶片结冰监测与预警研究[J]. 太阳能学报, 2022,43(2): 402-407
[13] 房芳,郑辉,汪玉,等. 机械结构健康监测综述.机械工程学报[J]. 2021,57(16):269-292.
[14] 周季峰, 石 腾, 许波峰. 风电机组叶片损伤故障检测技术研究进展[J]. 新能源进展. 2023;11(6):556-563.
[15] 岳凤英,李永红,王中山,等.新型柔性压力传感器阵列在风力机叶片受力测试中的应用研究, 仪器仪表学报[J]. 2009, 30(6):691-694.
[16] Maintaining critical infrastructureunder cold climate conditions: A versatile sensing and heating concept[J] Sensors and Actuators A Physical, 2017, 267 (1): 538-546.
[17] 郭政, 徐乐, 张海英, 等. 基于移动捎带的 5G 广域物联网信息传输方法研究[J]. 电信科学, 2024, 40(3): 15-28.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期:2025-04-10基金项目:中国长江三峡集团有限公司项目(立项编号 NBZZ202300860,项目编号 NBZZ202300669)第一作者:胡章博(1997—),男,湖北武汉人,硕士研究生,工程师,主要从事风电装备状态监测与故障诊断研究。E-mail:hu_zhangbo@ctg.com.cn
更新日期/Last Update: 1900-01-01