Research on Intelligent Monitoring and Scheduling Technology for Wind Farm Material Transportation Vehicles

Xiaojiang Zheng; Zhenhuan Qv; Yi Feng; Jianjiang Xv

doi:10.2991/978-94-6463-658-1_6

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Research on Intelligent Monitoring and Scheduling Technology for Wind Farm Material Transportation Vehicles

Authors

Xiaojiang Zheng¹, Zhenhuan Qv², Yi Feng², Jianjiang Xv²^{, *}

¹Sichuan Ertan International Engineering Consulting Company Limited, Chengdu, China

²Chengdu Engineering Corporation Limited, Chengdu, China

^*Corresponding author. Email: 2014028@chidi.com.cn

Corresponding Author

Jianjiang Xv

Available Online 3 March 2025.

DOI: 10.2991/978-94-6463-658-1_6 How to use a DOI?
Keywords: material scheduling; wind power construction; collaborative control; route planning; right of way
Abstract: Because of the active transit and complex road conditions, the construction road is prone to congestion and material scheduling challenges. As a result, this paper proposes an off-site material flow control method, as well as an on-site right-of-way-based transportation vehicle scheduling method, which is combined with Internet of Things (IoT) sensing equipment to collect information about the transportation process in order to achieve precise material flow control and management. The application of the technology proposed in this study to the Labashan wind farm project demonstrates that the scheduling method can significantly improve the efficiency and reliability of material transportation, reduce interference on the construction site, and provide useful reference and guidance value to the management and logistics scheduling of similar projects.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
Series: Advances in Engineering Research
Publication Date: 3 March 2025
ISBN: 978-94-6463-658-1
ISSN: 2352-5401
DOI: 10.2991/978-94-6463-658-1_6 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Xiaojiang Zheng
AU  - Zhenhuan Qv
AU  - Yi Feng
AU  - Jianjiang Xv
PY  - 2025
DA  - 2025/03/03
TI  - Research on Intelligent Monitoring and Scheduling Technology for Wind Farm Material Transportation Vehicles
BT  - Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
PB  - Atlantis Press
SP  - 46
EP  - 54
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-658-1_6
DO  - 10.2991/978-94-6463-658-1_6
ID  - Zheng2025
ER  -

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