用于风力涡轮机气动特性的无线实时数据采集系统

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY
Ingenieria Pub Date : 2023-02-28 DOI:10.14483/23448393.18860
Jhoan S. Casallas, Hector Parra-Peñuela, E. Gaona
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引用次数: 0

摘要

背景:风能利用的是可再生的、免费的、环保的资源,因此有一些项目专注于设计风力涡轮机以提高其效率。使用计算流体动力学技术的模拟允许对设计进行分析。然后通过实验和风洞测量来验证。方法:数据采集采用Wind Sensor Rev.P传感器测量风速,MMA7361加速度计测量风在涡轮内产生的振动。此外,需要ESP32通过蓝牙处理和传输数据,从而便于在风洞内安装实时监控模块。结果:获得了采样率为5 ms的监测模块,从而实现了实时数据采集,其分辨率为12位,具有良好的数据捕获精度,传输速率约为74000 bps。还创建了一个能够绘制3D加速度和2D风速信号的应用程序。结论:所开发的设备具有无线、安装简单、便于风洞内数据采集、通过图形界面实时可视化风力机行为等特点,可为未来的风力机设计项目提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless Real-Time Data Acquisition System for Aerodynamic Characterization of a Wind Turbine
Context:  Wind energy sources utilize renewable, free, and environmentally friendly resources, so there are projects focused on the design of wind turbines to increase their efficiency. Simulations using computational fluid dynamics techniques allow designs to be analyzed. which, are then validated through experimentation and wind tunnel measurements. Method: Data acquisition is performed by using Wind Sensor Rev.P sensors to measure wind velocity, and MMA7361 accelerometer to measure the vibrations generated by the wind in the turbine. Additionally, an ESP32 is required to process and transmit the data via Bluetooth, thus facilitating the installation of the real-time monitoring module inside the wind tunnel. Results: A monitoring module with a sampling rate of 5 ms was obtained, thus allowing real-time data acquisition, with a resolution of 12 bits for good data capturing accuracy and a transmission rate of approximately 74000 bps. An application capable of plotting 3D acceleration and 2D wind speed signals was also created. Conclusions: The device developed serves as a support for future wind turbine design projects since it is wireless, its installation is simple, it facilitates data collection inside a wind tunnel, and it allows visualizing the turbine’s behavior in real time by means of a graphic interface.
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来源期刊
Ingenieria
Ingenieria ENGINEERING, MULTIDISCIPLINARY-
CiteScore
0.70
自引率
25.00%
发文量
33
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