Accelerated Earth-Rockfill Dam Compaction by Collaborative Operation of Unmanned Roller Fleet

Shi, Mengnan; Wang, Jiajun; Li, Qihu; Cui, Bo; Guan, Shiwei; Zeng, Tuocheng

doi:10.1061/(asce)co.1943-7862.0002267

Cited by 13 publications

(3 citation statements)

References 49 publications

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“…The last part (iii) requires one to determine 'repeated rolling rate' and 'effective width' shown in Figure 5, where 'repeated rolling rate' is simply the overlapped area when the roller is traveling over the next path. Some studies [18,19], aimed at improving efficiency and reliability through roller operation monitoring, mentioned that repeated rolling is a problem that needs to be addressed to enhance the quality of the work. To determine these factors, one study conducted interviews and surveys from a pool of experts in this field, including actual operators [20].…”

Section: Path Generation Processmentioning

confidence: 99%

Unmanned Aerial Vehicle-Based Automated Path Generation of Rollers for Smart Construction

Kim,

Kim

et al. 2023

Electronics

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The construction industry is continuously evolving, seeking innovative solutions to enhance efficiency, reduce costs, and improve safety. Unmanned aerial vehicles (UAVs), commonly known as drones, have emerged as a transformative technology in the construction sector, offering numerous advantages in data collection and site management. This paper presents a novel approach for utilizing UAVs to automate the path generation of rollers, a crucial element in the construction of roads and other large-scale infrastructure projects. A UAV was used to scan the target area to create a model; the next step was to generate the path for the rollers. Traditionally, the process of determining optimal roller paths is labor-intensive and reliant on manual surveys and engineering expertise. This study proposes a streamlined workflow that harnesses UAVs equipped with computer vision technology to capture high-resolution topographical data of construction sites. This data is then processed through an algorithm created by the authors that automatically generates optimized roller paths based on several factors.

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Section: Path Generation Processmentioning

confidence: 99%

Unmanned Aerial Vehicle-Based Automated Path Generation of Rollers for Smart Construction

Kim,

Kim

et al. 2023

Electronics

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“…As a typical form of pavement machinery, the roller is a very important piece of rolling equipment in roadworks [1,2]. However, there are many problems with manually operated rollers [2][3][4][5], such as the fact that the vibration of the roller can cause discomfort to the driver; the rolling speed cannot be constant; the overlapping width of compaction depends on the driver's proficiency, etc. Therefore, numerous construction machinery companies are committed to developing unmanned rollers.…”

Section: Introductionmentioning

confidence: 99%

“…In recent advancements, several enterprises have pioneered the development of unmanned rollers, leveraging the global navigation satellite system (GNSS) [1,2,4] for precise positioning in open terrains, subsequently facilitating real-time supervision and control of the rollers. However, due to the absence of GNSS signals in tunnels, unmanned driving systems that rely on GNSS positioning are ineffective.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Analysis of Visual Odometer for Unmanned Rollers in Tunnels

Huang,

Wang,

et al. 2023

Electronics

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Rollers, integral to road construction, are undergoing rapid advancements in unmanned functionality. To address the specific challenge of unmanned compaction within tunnels, we propose a vision-based odometry system for unmanned rollers. This system solves the problem of tunnel localization under conditions of low texture and high noise. We evaluate and compare the performance of various feature extraction and matching methods, followed by the application of random sample consensus (RANSAC) to eliminate false matches. Subsequently, Perspective-n-Points (PnP) was employed to establish a minimal-error analysis for pose estimation and trajectory analysis. The findings reveal that binary robust invariant scalable key points (BRISK) exhibits larger errors due to fewer correctly matched feature points, while scale invariant feature transform (SIFT) falls short of real-time requirements. Compared to Oriented FAST and Rotated BRIEF (ORB) and the direct method, the maximum relative error and the median error between the compaction trajectory estimated by speed-up robust features (SURF) and the actual trajectory were the smallest. Consequently, the unmanned rollers employing SURF + PnP improved the accuracy and robustness. This research contributes valuable insights to the development of autonomous road construction equipment, particularly in challenging tunnels.

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Intelligent compaction methods and quality control

Yao

Song

2023

Smart Constr. Sustain. Cities

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Ensuring high-quality fill compaction is crucial for the stability and longevity of infrastructures and affects the sustainability of urban infrastructure networks. The purpose of this paper is to provide a refined analysis and insight understanding of the current practice, limitations, challenges, and future development trends of compaction methods from the perspective of the development stage. This paper offers a comprehensive overview of the evolution of compaction methods and classifies compaction quality control methods into four groups through quantitative analysis of literature: traditional compaction methods, digital compaction methods, automated compaction methods, and intelligent compaction methods. Each method's properties and issues are succinctly stated. Then, the research on three key issues in intelligent compaction including compaction quality evaluation algorithms, dynamic optimal path planning, and implementation of unmanned technology is summarized. Currently, the field of intelligent compaction is far from mature, a few challenges and limitations need further investigation: coupling problems of multiple indicators in intelligent evaluation algorithms, unmanned roller groups collaborative control problems, and intelligent decision-making and optimization problems of multi-vehicle compaction paths. This review serves as a valuable reference for systematically understanding the development of compaction methods.

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Accelerated Earth-Rockfill Dam Compaction by Collaborative Operation of Unmanned Roller Fleet

Cited by 13 publications

References 49 publications

Unmanned Aerial Vehicle-Based Automated Path Generation of Rollers for Smart Construction

Unmanned Aerial Vehicle-Based Automated Path Generation of Rollers for Smart Construction

Accuracy Analysis of Visual Odometer for Unmanned Rollers in Tunnels

Intelligent compaction methods and quality control

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