论文标题
Aerosense：一种可自我维护的远程蓝牙无线传感器节点，用于在风力涡轮机上进行空气动力学和空气声监测
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines
论文作者
论文摘要
本文介绍了在风力涡轮机和其他工业结构上进行空气动力和声学测量的低功率，自我维护和模块化无线传感器节点。它包括40个高临界气压计，10个麦克风，5个差压力传感器，并实现有损和无损的板载数据压缩算法以降低传输能源成本。无线发射器基于蓝牙低能5.1调整为远程和高吞吐量，同时保持适当的每位能源效率（80 NJ）。此外，我们对节点能力进行了现场评估，以收集精确，准确的空气动力学数据。室外实验测试表明，该系统可以在438 m以上获取和维持850 kbps的数据速率。收集和流式传输时，所有测量数据的功耗为120兆瓦，可通过111 cm^2光伏面板实现自我可持续性和长期原位监测。
This paper presents a low-power, self-sustainable, and modular wireless sensor node for aerodynamic and acoustic measurements on wind turbines and other industrial structures. It includes 40 high-accuracy barometers, 10 microphones, 5 differential pressure sensors, and implements a lossy and a lossless on-board data compression algorithm to decrease the transmission energy cost. The wireless transmitter is based on Bluetooth Low Energy 5.1 tuned for long-range and high throughput while maintaining adequate per-bit energy efficiency (80 nJ). Moreover, we field-assessed the node capability to collect precise and accurate aerodynamic data. Outdoor experimental tests revealed that the system can acquire and sustain a data rate of 850 kbps over 438 m. The power consumption while collecting and streaming all measured data is 120 mW, enabling self-sustainability and long-term in-situ monitoring with a 111 cm^2 photovoltaic panel.
