Ultrasonic Flowmeter Based on FPGA

Sun, Bao Jiang; Wang, Ke

doi:10.4028/www.scientific.net/amm.291-294.2566

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…At present, most methods in the electromagnetic flowmeter paper do not specify which algorithm to use in the calculation of the flow. There are many ways to calculate the flow through hardware or sensor architecture improvements, but often it is often found that they use most of the firmware computing platform (MCU) specifications (especially in large quantities using FPGAs [ 3 , 4 , 5 , 6 ] or DSP [ 7 ] and other high-cost hardware components). Therefore, it can be speculated that other methods must be obtained through the more powerful hardware specifications to calculate, resulting in cost increases and also a lack of flexibility.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Synchronous Capture Algorithm for an Electromagnetic Flowmeter

Fanjiang

2017

Sensors

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This paper proposes a dynamic synchronous capture (DSC) algorithm to calculate the flow rate for an electromagnetic flowmeter. The characteristics of the DSC algorithm can accurately calculate the flow rate signal and efficiently convert an analog signal to upgrade the execution performance of a microcontroller unit (MCU). Furthermore, it can reduce interference from abnormal noise. It is extremely steady and independent of fluctuations in the flow measurement. Moreover, it can calculate the current flow rate signal immediately (m/s). The DSC algorithm can be applied to the current general MCU firmware platform without using DSP (Digital Signal Processing) or a high-speed and high-end MCU platform, and signal amplification by hardware reduces the demand for ADC accuracy, which reduces the cost.

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Section: Introductionmentioning

confidence: 99%

Dynamic Synchronous Capture Algorithm for an Electromagnetic Flowmeter

Fanjiang

2017

Sensors

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A comprehensive review on accuracy in ultrasonic flow measurement using reconfigurable systems and deep learning approaches

Kumar¹,

Kamaraj²,

C³

et al. 2020

AIP Advances

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Flow rates of fuel are a major control variable in the engines of airborne vehicles. Accuracy in flow rate measurements became a mandatory requirement for the testing and reliable operation of those engines. Flow rate measurement is also essential in food industries, automotive industries, and chemical industries. Flow rate measurement using ultrasonic transducers is an appropriate choice because of its unique properties when they are in contact with the gases and water medium, as well as larger diameter pipelines. Estimating the echo signal of the ultrasonic flowmeter is a challenging task; however, the processing tasks for real-time performance are mandatory for improving accuracy in flow rate measurements. This article reviews the improvement in the accuracy of flow rate measurements of liquids and gases incorporating the modern technological trends with the support of field programmable gate arrays, digital signal processors, other advanced processors, and deep learning approaches. The review also elaborates on the reduction of uncertainty in single path and multi-path ultrasonic flowmeters. Finally, future research prospects are put forward for developing low cost, reliable, and accurate ultrasonic flowmeters for extensive categories of industrial applications.

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Ultrasonic Flowmeter Based on FPGA

Cited by 2 publications

References 2 publications

Dynamic Synchronous Capture Algorithm for an Electromagnetic Flowmeter

Dynamic Synchronous Capture Algorithm for an Electromagnetic Flowmeter

A comprehensive review on accuracy in ultrasonic flow measurement using reconfigurable systems and deep learning approaches

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