Chinese Journal of Construction Machinery, Volume. 23, Issue 3, 481(2025)

Research on remote monitoring system for trestle laying machinery

DUAN Kunpeng1, XIN Yu2, XU Han1, and YOU Kequan3
Author Affiliations
  • 1Zhejiang Zhongtian Hengzhu Steel Structrue Co., Ltd., Hangzhou 310015, Zhejiang, China
  • 2School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
  • 3Zhongtian Construction Group Co., Ltd., Hangzhou 310009, Zhejiang, China
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    References(4)

    [3] [3] MOE S J S, KIM B W, KHAN A N, et al. Collaborative worker safety prediction mechanism using federated learning assisted edge intelligence in outdoor construction environment [J]. IEEE Access, 2023, 11: 109010-109026.

    [4] [4] KARGAR V, JAHANGIRI M, ALIMOHAMMADLU M, et al. Risk assessment of mobile crane overturning in Asymmetric Tandem Lifting(ATL)operation based on fuzzy fault tree analysis(FFTA)[J]. Results in Engineering, 2022, 16: 100755.

    [7] [7] FUTAI M M, BITTENCOURT T N, CARVALHO H, et al. Challenges in the application of digital transformation to inspection and maintenance of bridges [J]. Structure and Infrastructure Engineering, 2022, 18(10/11): 1581-1600.

    [8] [8] SAKR M, SADHU A. Visualization of structural health monitoring information using Internet-of-Things integrated with building information modeling [J]. Journal of Infrastructure Intelligence and Resilience, 2023, 2(3): 100053.

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    DUAN Kunpeng, XIN Yu, XU Han, YOU Kequan. Research on remote monitoring system for trestle laying machinery[J]. Chinese Journal of Construction Machinery, 2025, 23(3): 481

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    Paper Information

    Received: --

    Accepted: Aug. 25, 2025

    Published Online: Aug. 25, 2025

    The Author Email:

    DOI:10.15999/j.cnki.311926.2025.03.012

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