Low-Complexity Ultrasonic Flowmeter Signal Processor Using Peak Detector-Based Envelope Detection
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| Vydáno v: | Journal of Sensor and Actuator Networks vol. 14, no. 1 (2025), p. 12 |
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MDPI AG
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| On-line přístup: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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|---|---|---|---|
| 001 | 3171090133 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2224-2708 | ||
| 024 | 7 | |a 10.3390/jsan14010012 |2 doi | |
| 035 | |a 3171090133 | ||
| 045 | 2 | |b d20250101 |b d20250228 | |
| 084 | |a 231482 |2 nlm | ||
| 100 | 1 | |a Yu, Myeong-Geon | |
| 245 | 1 | |a Low-Complexity Ultrasonic Flowmeter Signal Processor Using Peak Detector-Based Envelope Detection | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Ultrasonic flowmeters are essential sensor devices widely used in remote metering systems, smart grids, and monitoring systems. In these environments, a low-power design is critical to maximize energy efficiency. Real-time data collection and remote consumption monitoring through remote metering significantly enhance network flexibility and efficiency. This paper proposes a low-complexity structure that ensures an accurate time-of-flight (ToF) estimation within an acceptable error range while reducing computational complexity. The proposed system utilizes Hilbert envelope detection and a differentiator-based parallel peak detector. It transmits and collects data through ultrasonic transmitter and receiver transducers and is designed for seamless integration as a node into wireless sensor networks (WSNs). The system can be involved in various IoT and industrial applications through high energy efficiency and real-time data transmission capabilities. The proposed structure was validated using the MATLAB software, with an LPG gas flowmeter as the medium. The results demonstrated a mean relative deviation of 5.07% across a flow velocity range of 0.1–1.7 m/s while reducing hardware complexity by 78.9% compared to the conventional FFT-based cross-correlation methods. This study presents a novel design integrating energy-efficient ultrasonic flowmeters into remote metering systems, smart grids, and industrial monitoring applications. | |
| 653 | |a Accuracy | ||
| 653 | |a Flow velocity | ||
| 653 | |a Microprocessors | ||
| 653 | |a Envelope detection | ||
| 653 | |a Automatic meter reading | ||
| 653 | |a Sensors | ||
| 653 | |a Signal processing | ||
| 653 | |a Wireless sensor networks | ||
| 653 | |a Remote monitoring | ||
| 653 | |a Design | ||
| 653 | |a Industrial applications | ||
| 653 | |a Energy efficiency | ||
| 653 | |a Data transmission | ||
| 653 | |a Transmitters | ||
| 653 | |a Algorithms | ||
| 653 | |a Complexity | ||
| 653 | |a Smart grid | ||
| 653 | |a Real time | ||
| 653 | |a Cross correlation | ||
| 653 | |a Energy consumption | ||
| 653 | |a Data collection | ||
| 653 | |a Flowmeters | ||
| 653 | |a Internet of Things | ||
| 700 | 1 | |a Dong-Sun, Kim | |
| 773 | 0 | |t Journal of Sensor and Actuator Networks |g vol. 14, no. 1 (2025), p. 12 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3171090133/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3171090133/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3171090133/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |