Volume 39 Issue 10
Oct.  2024
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Bingchuan Tang, Jiepeng Liu. Development of Intelligent Manufacturing Technology for Steel Structures[J]. STEEL CONSTRUCTION(Chinese & English), 2024, 39(10): 119-126. doi: 10.13206/j.gjgS24052122
Citation: Bingchuan Tang, Jiepeng Liu. Development of Intelligent Manufacturing Technology for Steel Structures[J]. STEEL CONSTRUCTION(Chinese & English), 2024, 39(10): 119-126. doi: 10.13206/j.gjgS24052122

Development of Intelligent Manufacturing Technology for Steel Structures

doi: 10.13206/j.gjgS24052122
  • Received Date: 2024-05-21
    Available Online: 2024-11-06
  • Intelligent construction is the main direction for the transformation and upgrading of the current construction industry. It primarily integrates building industrialization with new-generation information techniques, such as artificial intelligence (AI) and industry manufacturing, to improve the efficiency, benefits, and quality of the construction industry while reducing labor costs. An important feature of building industrialization is that building components are prefabricated in factories and then installed on-site using mechanical equipment. Therefore, the manufacturing of components in factories is a core aspect of building industrialization. To achieve intelligent construction, it is essential to realize the intelligent manufacturing of components. Intelligent manufacturing has been developed in the manufacturing industry for many years, and the technology is becoming increasingly mature, whereas intelligent construction is still in the exploratory stage within the construction industry. Therefore, considering the achievements and introducing intelligent technology of the manufacturing industry into the production of building components is a key direction for the development of intelligent construction. The manufacturing of steel structures is one of the construction sectors most suited for the development of intelligent manufacturing technology. The industry production of steel components is currently in a phase of deep integration of mechanization, automation, and digitalization. It is being combined with new-generation information techniques such as AI, the Internet of Things, and robotics, and is gradually evolving toward intelligent manufacturing. This paper introduces the traditional manufacturing technology of steel structures and its integration with new-generation information technology. The future development of intelligent manufacturing technology for steel structures is also explored, aiming to provide a reference for the advancement of intelligent manufacturing in the steel structure industry.
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  • [1]
    工业与信息化部. "十四五"智能制造发展规划[EB/OL]. (2021-12-28)[2024-10-14].http://big5.www.gov.cn/gate/big5/www.gov.cn/zhengce/zhengceku/2021-12/28/5664996/files/a22270cdb0504e518a7630fa318dbcd8.pdf.
    [2]
    Orlowski K. Automated manufacturing for timber-based panelised wall systems[J]. Automation in Construction, 2020, 109, 102988.
    [3]
    Xu C, Zhou X, Lin X, et al. Automated optimization for steel mold of precast components based on multi-objective evolutionary algorithm[J]. Journal of Constructional Steel Research, 2024, 221, 108914.
    [4]
    Yang L, Liu Y, Peng J, et al. A novel system for off-line 3D seam extraction and path planning based on point cloud segmentation for arc welding robot[J]. Robotics and Computer Integrated Manufacturing, 2020, 64, 101929.
    [5]
    Liu J, Jiao T, Li S, et al. Automatic seam detection of welding robots using deep learning[J]. Automation in Construction, 2022, 143,104582.
    [6]
    Fu L, Xing Z, Cheng G, et al. Terrestrial laser scanning assisted dimensional quality assessment for space frame components[J]. Measurement, 2022,204,112067.
    [7]
    Gao H, Sun Y, Peng Y. A 3D point cloud model-based inspection method for the dimension of prefabricated steel members[C]//International Symposium on Automation, Mechanical and Design Engineering. Cham: Springer Nature Switzerland. Beijing: 2022: 53-68.
    [8]
    张雪健,毛业兵,杨芳,等.基于机器视觉的五轴坡口切割机器人控制系统设计[J]. 焊接, 2021(2): 14-20, 37.
    [9]
    王成军, 严晨.机器视觉技术在分拣系统中的应用研究综述[J].制造技术与机床, 2020(5): 32-37.
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