Smart T-box of unmanned earthwork machinery for Internet of Vehicles

You, Ke; Peng, Gang; Ding, Lieyun; Dou, Quanli; Wu, Zhangang; Zhou, Cheng

doi:10.1016/j.autcon.2022.104589

Cited by 8 publications

(7 citation statements)

References 41 publications

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“…With the development of artificial intelligence, point data processing combined with deep learning has become a hot and challenging research topic (You et al, 2023;Zhou et al, 2023).…”

Section: Three-dimensional Modeling Of the Construction Sitementioning

confidence: 99%

“…Segmentation processing of point cloud data of building structures is an effective way to classify objects (Kim et al, 2013). With the development of artificial intelligence, point data processing combined with deep learning has become a hot and challenging research topic (You et al, 2023; Zhou et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Affected by labor shortage, the expert knowledge of experienced operators has become a valuable digital asset (You, Ding, et al, 2022). Thus, the collection and storage of construction process data is crucial (Ding et al, 2022; You, Peng, et al, 2022). The research of DT systems for earthwork construction requires expertise in the fields of civil engineering, automation, and artificial intelligence, which is promising for the interdisciplinary integration of intelligent construction.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

You

Zhou

Ding

et al. 2023

Journal of Field Robotics

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The unstructured construction site with a complex and changeable environment brings challenges to human–machine interaction. In this study, the earthwork digital twin (DT) is proposed to realize accurate and real‐time perception, which can support the teleoperation of an automated bulldozer. The overall framework includes anterior‐time DT, real‐time DT, and posterior‐time DT, which integrates three‐dimensional modeling, edge detection, and blade trajectory algorithms. Multidimensional heterogeneous data in bulldozer teleoperation can be displayed in real‐time to ensure construction safety. Big data during teleoperation of the construction process can be collected, stored, and analyzed. The DT proposed in this study was successfully applied in a major construction project in China, and testing results show its universality, robustness, and advanced performance. The key technologies proposed in this study can be applied to solve the common problems in the construction industry, which is promising for future intelligent construction.

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“…With the development of artificial intelligence, point data processing combined with deep learning has become a hot and challenging research topic (You et al, 2023;Zhou et al, 2023).…”

Section: Three-dimensional Modeling Of the Construction Sitementioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

You

Zhou

Ding

et al. 2023

Journal of Field Robotics

Self Cite

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“…With the intensification of the contradiction between human and land, the value concept and evaluation methods of green infrastructure have gradually been accepted by people. However, how to better integrate it into urban construction and management work is still an urgent problem to be explored and studied [16][17]. The construction of future urban infrastructure will become an important content of urban evaluation.…”

Section: Introductionmentioning

confidence: 99%

Efficiency Evaluation and Performance Governance of Infrastructure Construction Based on DEA and Improved Neural Networks

Wang

2024

J. Phys.: Conf. Ser.

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Infrastructure construction is the carrier of regional economic development, and the rational use of urban construction land is an important basis that largely depends on the efficiency of urban infrastructure construction. However, due to the lack of effective integration between urban evaluation and management in infrastructure, the infrastructure performance evaluation system is not yet mature enough. Therefore, this article conducts efficiency evaluation and performance governance of infrastructure construction based on DEA and improved neural networks. Firstly, based on a comprehensive analysis of performance evaluation, the advantages and disadvantages of infrastructure construction were explored. Secondly, in the study of using DEA and improved neural networks to evaluate the efficiency of infrastructure construction, a performance evaluation index system for urban infrastructure construction was constructed from four aspects: input, output, effect, and activity. A systematic performance evaluation of urban infrastructure was conducted, and optimization suggestions were proposed accordingly.

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“…In construction monitoring, cellular networks are primarily used to transmit information collected from on-site equipment for remote processing and relay commands to on-site equipment to carry out monitoring tasks. The following case studies are presented to discuss the role and benefits of implementing 5G cellular networks in various construction monitoring applications: a) You et al [62] developed a terminal box that is used to remotely control unmanned earthwork machinery using cellular networks. In this work, the mechanical parameters of the unmanned machinery, such as engine speed, oil pressure, forward gear value and its GPS location information, are updated to an Internet-of-Vehicles (IoV) platform in real-time, where managers can then use the information for decision-making.…”

Section: Use Of 5g Cellular Network In Construction Monitoringmentioning

confidence: 99%

Deep learning-based automated building construction progress monitoring for prefabricated prefinished volumetric construction

Chua

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Smart T-box of unmanned earthwork machinery for Internet of Vehicles

Cited by 8 publications

References 41 publications

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

Efficiency Evaluation and Performance Governance of Infrastructure Construction Based on DEA and Improved Neural Networks

Deep learning-based automated building construction progress monitoring for prefabricated prefinished volumetric construction

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