2021
DOI: 10.3390/w13070947
|View full text |Cite
|
Sign up to set email alerts
|

Accuracy and Reliability Analysis of Pipe Irrigation Metering Device for Sandy Water Source

Abstract: Sandy water sources are widely distributed and are important for agricultural development. However, no explicit result has been achieved in the research of the accuracy and reliability of pipeline metering devices as well as flow rate measurement objects (water or water–sand) of different metering devices in the process of pipelines conveying muddy water. In this study, seven kinds of sediment concentration gradients, C0–C6 (0.2–7.19%), and three different flow velocities (1.0 m/s, 1.25 m/s, 1.5 m/s) were set … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 34 publications
0
3
0
Order By: Relevance
“…Although these methods can reduce the impact of noise [7] , they are prone to overfitting and ignore the temporal dependency of variables, resulting in low temporal anomaly detection accuracy. Although there has been increasing research on temporal anomaly detection in recent years, the proposed deep learning based temporal anomaly detection method has better performance compared to traditional temporal anomaly detection methods [8] , greatly improving the performance of temporal anomaly detection algorithms. However, it has not yet achieved satisfactory results for multivariate temporal anomaly detection in power metering devices.…”
Section: Introductionmentioning
confidence: 99%
“…Although these methods can reduce the impact of noise [7] , they are prone to overfitting and ignore the temporal dependency of variables, resulting in low temporal anomaly detection accuracy. Although there has been increasing research on temporal anomaly detection in recent years, the proposed deep learning based temporal anomaly detection method has better performance compared to traditional temporal anomaly detection methods [8] , greatly improving the performance of temporal anomaly detection algorithms. However, it has not yet achieved satisfactory results for multivariate temporal anomaly detection in power metering devices.…”
Section: Introductionmentioning
confidence: 99%
“…1−3 In contrast to the other existing flow measurement instruments, EF measurement accuracy is not affected by the fluid density, pressure, and temperature. 1,3,4 Therefore, EF is widely used in sewage treatment for urban areas and industrial sites, e.g., chemical and food production. 5,6 In contrast to EF, a traditional EF often requires direct contact with the liquid; hence, it is prone to corrosion and wear.…”
Section: ■ Introductionmentioning
confidence: 99%
“…An electromagnetic flowmeter (EF) is a flow measurement instrument that works based on Faraday’s law. EF measures the flow rate by sensing the induced voltage by the fluid flow through a magnetic field. In contrast to the other existing flow measurement instruments, EF measurement accuracy is not affected by the fluid density, pressure, and temperature. ,, Therefore, EF is widely used in sewage treatment for urban areas and industrial sites, e.g., chemical and food production. , In contrast to EF, a traditional EF often requires direct contact with the liquid; hence, it is prone to corrosion and wear …”
Section: Introductionmentioning
confidence: 99%