DOI QR코드

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A remote long-term and high-frequency wind measurement system: design, comparison and field testing

  • Zhao, Ning (School of Civil Engineering, Sichuan Agricultural University) ;
  • Huang, Guoqing (School of Civil Engineering, Chongqing University) ;
  • Liu, Ruili (School of Civil Engineering, Chongqing University) ;
  • Peng, Liuliu (School of Civil Engineering, Chongqing University)
  • 투고 : 2019.08.07
  • 심사 : 2020.06.05
  • 발행 : 2020.07.25

초록

The wind field measurement of severe winds such as hurricanes (or typhoons), thunderstorm downbursts and other gales is important issue in wind engineering community, both for the construction and health monitoring of the wind-sensitive structures. Although several wireless data transmission systems have been available for the wind field measurement, most of them are not specially designed for the wind data measurement in structural wind engineering. Therefore, the field collection is still dominant in the field of structural wind engineering at present, especially for the measurement of the long-term and high-frequency wind speed data. In this study, for remote wind field measurement, a novel wireless long-term and high-frequency wind data acquisition system with the functions such as remote control and data compression is developed. The system structure and the collector are firstly presented. Subsequently, main functions of the collector are introduced. Also novel functions of the system and the comparison with existing systems are presented. Furthermore, the performance of this system is evaluated. In addition to as the wireless transmission for wind data and hardware integration for the collector, the developed system possesses a few novel features, such as the modification of wind data collection parameters by the remote control, the remarkable data compression before the data wireless transmission and monitoring the data collection by the cell phone application. It can be expected that this system would have wide applications in wind, meteorological and other communities.

키워드

과제정보

The research described in this paper was financially supported by the National Natural Science Foundation of China (Grant No. 51778546) and 111 Project (Grant No. B18062).

참고문헌

  1. Burlando, M., Zhang, S. and Solari, G. (2018), "Monitoring, cataloguing, and weather scenarios of thunderstorm outflows in the northern Mediterranean", Nat. Hazard Earth Sys., 18(9). https://doi.org/10.5194/nhess-18-2309-2018.
  2. Cao S.Y., Tamura, Y., Kikuchi, N., Saito, M., Nakayama, I. and Matsuzaki, Y. (2009), "Wind characteristics of a strong typhoon", J. Wind Eng. Ind. Aerod., 97(1), 11-21. https://doi.org/10.1016/j.jweia.2008.10.002.
  3. Capo-Chichi, E.P., Guyennet, H. and Friedt, J.M. (2009), "K-RLE: a new data compression algorithm for wireless sensor network", The Third International Conference on Sensor Technologies and Applications. IEEE. 502-507. June.
  4. Cohn, S.A., Grubisic, V. and Brown, W.O.J. (2011), "Wind profiler observations of mountain waves and rotors during TREX", J. Appl. Meteorol. Climatol., 50: 826-843. https://doi.org/10.1175/2010JAMC2611.1
  5. He, X., Qin, H., Tao, T., Liu, W. and Wang, H. (2017), "Measurement of non-stationary characteristics of a landfall typhoon at the Jiangyin bridge site", Sensors, 17(10), 2186. https://doi.org/10.3390/s17102186.
  6. Heo, B.H., Koaly, S.J., Kim, K.E., Campistron, B. and Benech, B. (2003), "Use of the Doppler spectral width to improve the estimation of the convective boundary layer height from UHF wind profiler observations", J. Atmos. Oceanic Technol., 20(3), 408-423. https://doi.org/10.1175/1520-0426(2003)020%3C0408:UOTDSW%3E2.0.CO;2.
  7. Huang, G., Jiang, Y., Peng, L., Solari, G., Liao, H. and Li, M. (2019), "Characteristics of intense winds in mountain area based on field measurement: Focusing on thunderstorm winds", J. Wind Eng. Indus. Aerod., 190, 166-182. https://doi.org/10.1016/j.jweia.2019.04.020.
  8. Huang, G., Peng, L., Liao, H. and Li, M. (2016), "Field measurement study on wind characteristics at Puli great bridge site in mountainous area", J. Southwest Jiaotong Univ., 51(2-3), 349-356. (in Chinese)
  9. Huang, G., Peng, L., Su, Y., Liao, H. and Li, M. (2015), "A wireless high-frequency anemometer instrumentation system for field measurements", Wind Struct., 20(6), 739-749. https://doi.org/10.12989/was.2015.20.6.739.
  10. Huang, G., Zheng, H., Xu, Y. and Li, Y. (2015), "Spectrum models for nonstationary extreme winds", J. Struct. Eng., 141(10), 04015010. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001257
  11. Liao, H., Jing, H., Ma, C., Tao, Q. and Li, Z. (2020). "Field measurement study on turbulence field by wind tower and Windcube Lidar in mountain valley", J. Wind Eng. Indus. Aerod., 197, 104090. https://doi.org/10.1016/j.jweia.2019.104090.
  12. Malik, A., Sikka, G. and Verma, H.K. (2017), "A high capacity text steganography scheme based on LZW compression and color coding", Eng. Sci. Technol., 20(1), 72-79. https://doi.org/10.1016/j.jestch.2016.06.005.
  13. Otero, C.E., Velazquez, A., Kostanic, I., Subramanian, C., Pinelli, J.P. and Buist, L. (2009), "Real-time monitoring of hurricane winds using wireless and sensor technology", J. Comput., 4(12), 1275-1285.
  14. Peng, L., Huang, G., Chen, X. and Yang, Q. (2018), "Evolutionary spectra-based time-varying coherence function and application in structural response analysis to downburst winds", J. Struct. Eng., 144(7), 04018078. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002066.
  15. Saarinen, M. J. O. (2017), "Arithmetic coding and blinding countermeasures for lattice signatures." Journal of Cryptographic Engineering, 1-14.
  16. Schroeder, J.L. and Smith, D.A. (2003), "Hurricane bonnie wind flow characteristics as determined from WEMITE", J. Wind Eng. Indus. Aerod., 91(6), 767-789. https://doi.org/10.1016/S0167-6105(02)00475-0.
  17. Solari, G., Repetto, M.P., Burlando, M., De Gaetano, P., Pizzo, M., Tizzi, M. and Parodi, M. (2012), "The wind forecast for safety and management of port areas", J. Wind Eng. Indus. Aerod., 104, 266-277. https://doi.org/10.1016/j.jweia.2012.03.029.
  18. Song, G., Li, H., Gajic, B., Zhou, W., Chen, P. and Gu, H. (2013), "Wind turbine blade health monitoring with piezoceramic-based wireless sensor network", Int. J. Smart Nano Mater., 4(3), 150-166. https://doi.org/10.1080/19475411.2013.836577.
  19. Subramanian, C.S., Pinelli, J.P., Lapilli, C.D. and Buist, L. (2005), "A wireless multipoint pressure sensing system: design and operation", IEEE Sens. J., 5(5), 1066-1074. https://doi.org/10.1109/JSEN.2005.854135.
  20. Timmermann, L., Ploner, M., Haucke, K., Schmitz, F., Baltissen, R. and Schnitzler, A. (2001), "Differential coding of pain intensity in the human primary and secondary somatosensory cortex", J. Neurophysiol., 86(3), 1499-1503. https://doi.org/10.1152/jn.2001.86.3.1499.
  21. Turnipseed, A.A., Anderson, D.E., Blanken, P.D., Baugh, W.M. and Monson, R.K. (2003), "Airflows and turbulent flux measurements in mountainous terrain: Part 1. Canopy and local effects", Agric. Forest Meteorol., 119(1), 1-21. https://doi.org/10.1016/S0168-1923(03)00136-9.
  22. Wang N., Chen X., Song G. and Parsaei H. (2015), "An experiment scheduler and federated authentication solution for remote laboratory access", Int. J. Online Eng., 11(3). 20-26. https://doi.org/10.3991/ijoe.v11i3.4554
  23. Wang, H., Li, A.Q., Niu, J. and Zong, Z.H. (2013), "Long-term monitoring of wind characteristics at Sutong Bridge site", J. Wind Eng. Ind. Aerod., 115, 39-47. https://doi.org/10.1016/j.jweia.2013.01.006.
  24. Wang, N., Chen, X., Song, G., Lan, Q. and Parsaei, H.R. (2017), "Design of a new mobile-optimized remote laboratory application architecture for M-learning", IEEE T. Ind. Electron., 64(3), 2382-2391. https://doi.org/10.1109/TIE.2016.2620102.
  25. Wang, W. and Zhang, W. (2017), "Huffman coding-based adaptive spatial modulation", IEEE T. Wirel. Commun., 16(8), 5090-5101. https://doi.org/10.1109/TWC.2017.2705679.
  26. Xiang, H.F. and Ge, Y.J. (2007), "State-of-the-art of long-span bridge engineering in China", Front. Struct. Civil Eng., 1(4), 379-388. https://doi.org/10.1007/s11709-007-0051-x.
  27. Yu, C., Li, Y. and Zhang, M. (2019), "Wind characteristics along bridge catwalk in a deep-cutting gorge from field measurements", J. Wind Eng. Indus. Aerod., 186, 94-104. https://doi.org/10.1016/j.jweia.2018.12.022.
  28. Zhang, S., Solari, G., Yang, Q. and Repetto, M.P. (2018), "Extreme wind speed distribution in a mixed wind climate", J. Wind Eng. Ind. Aerod., 176, 239-253. https://doi.org/10.1016/j.jweia.2018.03.019.
  29. Zheng, Y., Zhao, Y., Liu, W., Liu, S. and Yao, R. (2018), "An intelligent wireless system for field ecology monitoring and forest fire warning", Sensors, 18(12), 4457. https://doi.org/10.3390/s18124457.
  30. Zhong, D., Lv, H., Han, J. and Wei, Q. (2014), "A practical application combining wireless sensor networks and internet of things: Safety management system for tower crane groups", Sensors, 14(8), 13794-13814. https://doi.org/10.3390/s140813794.