Accuracy Evaluation and Terrain Model Automation of Reservoir Using Unmanned Aerial Vehicle System

Kim, Jungmeyon; Park, Sung-Sik; Kim, Jaehwi; Ahn, Seungwoo; Park, Sung-Yong; Kim, Yong-Seong

doi:10.5389/ksae.2017.59.2.057

Cited by 3 publications

(4 citation statements)

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“…For example, a researcher in South Korea investigated the mechanisms that cause cavities to form due to sewage pipe degradation in sandy soils using laboratory model studies with poorly graded sand [20,49]. The relationship between the surroundings and the integrity of the sewer pipe has been studied [50]. Test procedures that are responsive to changes in soil strength, porosity, and density, such as GPR, are preferred [42].…”

Section: Leakage Detection: Hardware-based Tools and Methodsmentioning

confidence: 99%

Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review

Joseph

Sharma

Staden

et al. 2023

Water

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With the rise of smart water cities, water resource management has become increasingly important. The increase in the use of intelligent leak detection technologies in the water, gas, oil, and chemical industries has led to a significant improvement in safety, customer, and environmental results, and management costs. The aim of this review article is to provide a comprehensive overview of the application of software and hardware-based technologies in leak detection and bursts in water pipeline networks. This review aims to investigate the existing literature on the subject and to analyse the key leak detection systems in the water industry. The novelty of this review is the comprehensive analysis of the literature on software and hardware-based technologies for leak and burst detection in water pipe networks. Overall, this review article contributes to understanding the latest developments and challenges in the application of software- and hardware-based technologies for leak and burst detection in water pipe networks, and serves as a valuable resource for researchers, engineers, and practitioners working in the field of water distribution systems.

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Section: Leakage Detection: Hardware-based Tools and Methodsmentioning

confidence: 99%

Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review

Joseph

Sharma

Staden

et al. 2023

Water

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“…The impact of relative density and degree of compaction on ground sinking was investigated and it has been proven that when the groundwater level developed close to the surface, a rise in the seepage force speeds up the cavity's construction [32]. The relationship between the soundness of the sewer pipe and the surrounding environment of the pipelines has been analyzed [33]. One of the causes of ground sinking is sewer leaks since it eroded the nearby soil.…”

Section: Ground Penetration Radar (Gpr)mentioning

confidence: 99%

“…As a result, pinpointing areas of ground subsidence can assist in determining where sewer pipeline leaks were occurring. Then they proposed a reliable method for assessing the risk of road subsidence that considered a variety of deteriorated sewer pipelines and the surrounding area [33]. As a preliminary symptom that led to an uneven ground settlement, the soil's density in the places where ground subsidence occured became low or its strength declines [22].…”

Section: Ground Penetration Radar (Gpr)mentioning

confidence: 99%

Review of Water Leak Detection Methods in Smart Building Applications

Yussof

2022

Buildings

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In recent years, the identification of water leak detection methods has entered a wide range of fields. Pipeline failures in water distribution networks lead to the loss of a considerable amount of high-quality water. Different monitoring methods are often used to identify the failing infrastructure, which is subsequently maintained. Increased pressures on a fast-expanding water supply network needs the development of better leak detection technologies, particularly for use in smart building applications. This paper offers a detailed examination of water leak detection methods, intending to determine the state-of-the-art approaches and make recommendations for future research. It is designed to demonstrate smart buildings, but it may also be utilized in another similar context. This review concludes that, despite prior achievements, there is still much room for improvement, particularly in the domain of real-time models for earlier leak detection methods in building automation. These models should enable the integration of leakage detection, evaluation, and control system that, with minimal human interaction, may be customized for efficient leakage detection in real-world circumstances.

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“…However, there are risks involved in inaccurately representing the boundary heights of the paddies, dry fields, and roads, among other areas, as well as in using DEMs with a low spatial resolution. Although the cost of satellite images is low, the accuracy of the results is reduced [22,23] . For example, Landsat images with a spatial resolution of 30 mm are provided free of charge, but it is difficult to generate accurate cross-sectional views using such images.…”

Section: Introduction mentioning

confidence: 99%

Prediction accuracy of reservoir break flood simulation model using finite volume method and UAV

Jeon¹,

Choi

2020

International Journal of Agricultural and Biological Engineering

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Methods for producing high-resolution digital topographic maps using an unmanned aerial vehicle (UAV), and 3D fluid dynamics simulation to estimate the flooded areas caused by a collapsed reservoir, were proposed in this paper. The UAV flight path for photographing damaged areas was divided into two sections considering the drone flight time and overlapping range of the images in the x-and y-directions. The metadata taken by the drone were transferred into world coordinates by tracking the key features of the photographs of nearby areas using a 3D rotation matrix. The point cloud data with a 3D space were extracted from the registered images, and a digital surface map (DSM) was produced using a point cloud classification geometric mapping technique. To amend the serious elevation errors caused by natural or artificial obstacles, a kriging interpolation method was used to reproduce the DSM. A transient computational simulation that considers both the complex geometric topology and hydrodynamic energy of flowing water was conducted using FLOW-3D software to deal with an renormalization group (RNG) turbulence model. The flooded areas calculated through visual reading using images taken by the UAV were compared with the 3D simulation results for verification. The flooded areas estimated through the simulation were approximately 18.3% larger than those found by visual reading. Turbulent flows were mainly observed in obstacles or curved areas of the stream, and the differences in the water depth could be further increased. However, the villagers confirmed that the flooded areas were much greater than what was seen through the visual reading. Therefore, the combination of UAV surveying and the 3D simulation method based on the RNG turbulence model is recommended to accurately estimate flooded areas, and it will support an administrative policy aimed at minimizing the economic costs of damage caused by future reservoir collapses.

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Accuracy Evaluation and Terrain Model Automation of Reservoir Using Unmanned Aerial Vehicle System

Cited by 3 publications

References 0 publications

Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review

Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review

Review of Water Leak Detection Methods in Smart Building Applications

Prediction accuracy of reservoir break flood simulation model using finite volume method and UAV

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