双换能器同步超声测量管道内流速的研制

Q3 Engineering
L. F. Wiranata, D. Kurniadi
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引用次数: 1

摘要

在保管传递上计算流体流量测量仍然存在一些障碍,如单相流体流量分布不均匀、压力不稳定、流体流量变化等,这些仍然是测量系统过程中的主要问题。计算单相流体的流量,有一种常用的方法,即过流时间。在实际操作中,传输时间用于将超声波脉冲从上游发送到下游,由于换能器必须切换换能器的功能以成为发送器或接收器,因此必须有延迟。为此,本文提出了一种采用双发射机和双接收机同时传输时间法测量多径超声流量计的新策略。同步法是一种测量技术,利用一对超声换能器作为触发器和接收器。第一个换能器作为发射器,而第二个换能器作为接收器,在不改变其位置或作用的情况下同时捕获信号。为了实现配置设置,让我们尝试使用具有6对换能器的3路径配置,3对在上游,3对在下游。为了估计流速,我们使用了深度学习算法中循环神经网络(RNN)架构之一的长短期记忆(LSTM),为了评估性能,我们使用了Bland-Altman图和LSTM模型的均方根误差(RMSE)和验证损失。结果表明,与实际流速的RMSE为0.289,表明同时使用多径超声的LTSM可以减小预测与实际测量之间的误差
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The development of simultaneous transducer ultrasonic with dual-transducer to measure flow velocity in the pipe
There are still several obstacles to calculating fluid flow rate measurement on custody transfer, such as the distribution of one-phase fluid flow rate, less sTable pressure, and fluid flow rate changes, which are still the main problems in the process of a measuring system. To calculate the flow rate of one phase fluid, there is a method often used, namely transit time. In practice, the transit time works to send the ultrasonic pulse from upstream to downstream, which had to have a delay because the transducer must switch the function of a transducer to become transmitter or receiver. So, this paper proposed a new strategy of measurement multipath ultrasonic flowmeter (UFLW) with a simultaneous transit time method using a dual transmitter and receiver. The simultaneous method is a measuring technique that utilizes a pair of ultrasonic transducers as both trigger and receiver. The first transducer serves as the transmitter, while the second functions as the receiver, capturing the signal at the same time without changing their positions or roles. In order to implement the configuration setup, let’s try to use 3 paths configuration with 6 pairs of transducers, 3 on the upstream and 3 on the downstream. To estimate the flow velocity, let’s use long short-term memory (LSTM), which is one of the recurrent neural networks (RNN) architectures in the deep learning algorithm, and to evaluate the performance, let’s use the Bland-Altman plot and root mean squared error (RMSE) and validation loss of the LSTM model. The result shows RMSE 0.289 from the actual flow velocity, which means an LTSM with simultaneous multipath ultrasonic can reduce the error between prediction and actual measurement
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来源期刊
EUREKA: Physics and Engineering
EUREKA: Physics and Engineering Engineering-Engineering (all)
CiteScore
1.90
自引率
0.00%
发文量
78
审稿时长
12 weeks
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