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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)
  • Received : 2019.08.07
  • Accepted : 2020.06.05
  • Published : 2020.07.25

Abstract

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.

Keywords

Acknowledgement

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).

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