Quality Assessment of High-Voltage Transmission Lines Based on Multi-modal Data Fusion
Authors: 
Changqing Du, Bing Chen, Yuezhong Yu, Mingze Sun, Xing Yuan, Zihan Wang, Jinhang ZhongAuthors Info & Claims
Changqing Du, Bing Chen, Yuezhong Yu, Mingze Sun, Xing Yuan, Zihan Wang, Jinhang ZhongAuthors Info & ClaimsArticle No.: 66, Pages 1 - 5
Abstract
Quality assessment is one of the essential aspects of the acceptance of transmission line project completion. To resolve the challenge of efficiency and accuracy, we presents a multi-modal data fusion approach established on two new technology, which are the 3D laser point cloud technology and the BIM technology. The scanned 3D laser point cloud data of transmission lines are firstly filtered and classified to build the laser point cloud model; The BIM based 3D model of transmission lines are then converted to the BIM point cloud model; the laser point cloud model and the BIM point cloud model are registered through application of both a coarse registration and a fine registration; Differences between the laser and the BIM point cloud models are assessed for the acceptance of transmission line project. Validation results showed that the multi-modal fusion algorithm had highly satisfactory performance.
References
[1]
Long Tao, and Wu Yichao, “Explaining the Issues of the Completion and Acceptance of Transmission Line Projects and Reasonable Solutions,” China Venture Capital, vol. (33), p. 124, 2017.
[2]
Zhang Hongnan, “The main content of the on-site inspection for the completion acceptance of the transmission line project and the key points of the measurement technology,” Time Report, vol. (8), pp. 288-289, 2011.
[3]
LU Xin, “Application of BIM Technology in 500 kV Substation Project,” Hongshui River, vol. 39, no. (5), pp. 69-72, 2020.
[4]
Guan Lan, Li Aosen, Han Nianxia, Zu Guohua, Tian Lei, and Liu Weijun, “Design of overhead transmission lines based on digital three-dimensional model,” Electrical Measurement and Instrumentation, vol. 57, no. (3), pp. 105-109, 2020.
[5]
Tian Xiaozhuang, Zhao Fenggang, Liu Haiying, Zeng Qingsong, and Liu Lishuai, “Realization and Prospect of 3D Simulation Model of Substation Based on Point Cloud Data,” Sichuan Electric Power Technology, vol. 41, no. (4), pp. 32-36, 2018.
[6]
Zou Biao, Wang Heping, Meng Xiaoqian, Yang Guozhu, and Ye Jianfeng, “Design of night inspection system for overhead transmission Line based on laser point cloud technology,” Information Technology, vol. 44, no. (7), pp. 44-47,53, 2020.
[7]
Chen Zhengli, Ma Xiaoyu, Xie Mingao, Ye Ning, and Xu Yunpan, “Application of 3D Scanning Combined with BIM Technology to Building Structure Review,” Building Construction, vol. 41, no. (11), pp. 2078-2080, 2019.
[8]
Qin Yawei, Shi Wenjie, and Xiao Mingzhao, “Engineering Quality Control of Bridge Steel Components Based on BIM+3D Laser Scanning Technology,” Journal of Civil Engineering and Management, vol. 36, no. (4), pp. 119-125, 2019.
[9]
Liu Shasha, Zhu Qing, Tang Shengjun, and Ding Yulin, “Construction Progress Monitoring Based on the Integration of Indoor 3D Point Cloud and BIM,” Geomatics World, vol. 26, no. (5), pp. 107-112, 2019.
[10]
P. J. Besl and N. D. McKay, “A method for registration of 3-D shapes,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239-256, Feb. 1992.
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Published In
January 2021
1142 pages
ISBN:9781450389570
DOI:10.1145/3448734
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Association for Computing Machinery
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Published: 17 May 2021
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CONF-CDS 2021
CONF-CDS 2021: The 2nd International Conference on Computing and Data Science
January 28 - 30, 2021
CA, Stanford, USA
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