WindNode: A Long-Lasting And Long-Range Bluetooth Wireless Sensor Node for Pressure and Acoustic Monitoring on Wind Turbines
Abstract
This paper presents a low power, flexible and energy-efficient wireless sensor node for aerodynamic and acoustic measurements on wind turbine blades and other industrial structures. It comprises 40 high-accuracy absolute MEMS pressure sensors, ten MEMS microphones, a data processing system, a wireless transmitter based on Bluetooth Low Energy 5 tuned for long-range and high throughput while maintaining energy efficiency. The sensor node has been designed and implemented to test the range of communication, the impact on energy efficiency, the functionality, and the estimated lifetime. Experimental tests outdoor in realistic conditions revealed that the system can sustain a data rate of 850kbps over 438m. The node power consumption while streaming all measured data from a multi-MW wind turbine is only 46mW, enabling lifetimes of a full month even in the worst-case scenario of streaming all sensor data using an 8.7Ah Li-Ion battery.
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There is a clear need for advanced solutions for continuous monitoring and data collection, especially for producing publicly available datasets, because the research field is relatively new.
“Indeed, since this research field is relatively new, there is a clear need for advanced solutions for continuous monitoring and data collection, especially for producing publicly available datasets [3].”
From Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines (2023) · cites this paper as [3]
In one of the authors' previous papers, they demonstrated the practical possibility to use MEMS sensors in this context, such as measuring the sound level and the pressure distribution on a blade.
“Moreover, in one of our previous papers [3], we demonstrated the practical possibility to use MEMS sensors in this context, such as measuring the sound level and the pressure distribution on a blade.”
From Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines (2023) · cites this paper as [3]
Energy consumption in active and sleep mode, communication power, range and bandwidth are critical parameters in this application scenario due to the size of the turbine and the number of deployed sensors.
“Some of those are the energy consumption in active and sleep mode, the communication power, range and bandwidth [11] -all critical parameters in this application scenario due to the size of the turbine and the number of deployed sensors [3].”
From Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines (2023) · cites this paper as [3]
For vibration monitoring scenarios, the system has to process and transmit an amount of data in the range of 5 kbps, while for aerodynamic analysis, a throughput larger than 1 Mbps is necessary.
“In these scenarios, the system has to process and transmit an amount of data in the range of 5 kbps, while for aerodynamic analysis, a throughput larger than 1 Mbps is necessary [3].”
From Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines (2023) · cites this paper as [3]
It is crucial to design energy-efficient and reliable devices able to acquire, process and transmit data for several years and eventually for the full wind turbine lifetime, exploiting environmental sources such as small solar photovoltaic panels.
“Thus, it is crucial to design energy-efficient and reliable devices able to acquire, process and transmit data for several years and, eventually, for the full wind turbine lifetime, exploiting environmental sources such as small solar photovoltaic panels [3], [4], [10].”
From Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines (2023) · cites this paper as [3]
Applying a custom calibration can improve the accuracy substantially.
“However, this can be addressed by applying a custom calibration, which can improve the accuracy substantially [3].”
From Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines (2023) · cites this paper as [3]
The needed accuracy P_acc,min of the absolute pressure sensors was defined to be at most 1% of the dynamic pressure range P_dyn,avg at average wind speeds.
“Moreover, the needed accuracy P acc,min of the absolute pressure sensors was defined to be at most 1% of the dynamic pressure range P dyn,avg at average wind speeds [3].”
From Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines (2023) · cites this paper as [3]
A sampling of 100 times per rotation generated high-quality measurements and model reconstruction.
“For the sampling rate, in [3] it was defined that a sampling of 100 times per rotation generated high-quality measurements and model reconstruction.”
From Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines (2023) · cites this paper as [3]
Cites
Wang, X., Magno, M., Cavigelli, L., & Benini, L. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2976702 · Cited by 162 · see citing works
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Polonelli, T., Muller, H., Kong, W., Fischer, R., Benini, L., & Magno, M. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3224307 · Cited by 35 · see citing works
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- Authors
- Fischer, R., Mueller, H., Polonelli, T., Benini, L., & Magno, M.
- Affiliations
- ETH Zurich (CH)
- Venue
- 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)
- Publisher
- IEEE
- Published
- 2021-05-10
- Pages
- 393-399
- OpenAlex
- W3181755449
- Cited by
- 21
- References
- 1
- Citations by year
- 2025: 3 · 2024: 6 · 2023: 1 · 2022: 11
- FWCI
- 4.16
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Funders
- Swiss National Science Foundation (SNSF) Bridge Project (40B2-0_187087)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Bluetooth and Wireless Communication Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Arduino and IoT Applications
- Keywords
- wireless sensor nodes, wind turbines, MEMS pressure sensor, MEMS microphone, acoustic monitoring, aerodynamic measurement, long-range wireless communication, energy efficiency, sensor lifetime, low-power data transmission, wind turbine blades
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