Engineering Practice of Steel Structure Intelligent Manufacturing Technology

Zhenming Chen; Peng Wang; Minfang Wan; Bing Lin

doi:10.13206/j.gjgS24083025

Volume 39 Issue 11

Nov. 2024

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Zhenming Chen, Peng Wang, Minfang Wan, Bing Lin. Engineering Practice of Steel Structure Intelligent Manufacturing Technology[J]. STEEL CONSTRUCTION(Chinese & English), 2024, 39(11): 80-86. doi: 10.13206/j.gjgS24083025

Citation:

Zhenming Chen, Peng Wang, Minfang Wan, Bing Lin. Engineering Practice of Steel Structure Intelligent Manufacturing Technology[J]. STEEL CONSTRUCTION(Chinese & English), 2024, 39(11): 80-86. doi: 10.13206/j.gjgS24083025

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Engineering Practice of Steel Structure Intelligent Manufacturing Technology

doi: 10.13206/j.gjgS24083025

1. China Construction Steel Structure Co., Ltd., Shenzhen 518118, China;
2. China Construction Engineering Industrial Technology Research Institute Co., Ltd., Beijing 110113, China;
3. Guangdong Steel Structure Association, Guangzhou 510640, China

Received Date: 2024-08-30
Available Online: 2025-01-18

Abstract

Abstract

Nine departments including the Ministry of Housing and Urban-Rural Development of the People’s Republic of China jointly issued the "Guiding Opinions on the Coordinated Development of Intelligent Construction and the Building Industrialization". The opinions propose to accelerate the upgrading of building industrialization, digitalization and intelligence, promote the transformation of construction methods and drive the high-quality development of the construction industry. Steel structure buildings are widely used in large factories, stadiums, super high-rise buildings, bridges and other projects due to their light self-weight, diverse shapes and simple construction. According to the strategic consulting report of the Chinese Academy of Engineering, compared with reinforced concrete buildings, steel structure buildings can reduce carbon emissions by 15%, dust by 59%, solid waste by 51%, and save 12% of energy consumption and 39% of water consumption. More than 80% of the components of steel structure buildings can be processed in factories, and the production and processing equipment is relatively complete, which is very suitable for combination with intelligent manufacturing to improve the quality, efficiency and safety of construction projects. In order to realize building industrialization and intelligence and change the current production mode of the industry, this paper expounds the development process of the integration of steel structure buildings and intelligent manufacturing technologies in the past 30 years since the reform and opening up through the method of literature review, focuses on describing the practices of advanced technologies such as robotics, the internet of things, big data and artificial intelligence in steel structure manufacturing, and strives to provide practical guidance and references for the intelligent upgrading of steel structure manufacturing.
- steel structure,
- intelligent manufacturing,
- internet of things,
- artificial intelligence,
- robot

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References(38)

References

[1]	喜闻.高层建筑钢结构国产化研讨会在深圳召开[J].工业建筑,1987,17(11):66.
[2]	林良贵.XGJ-Ⅰ型型钢火焰切割机[J].机械工人,1986(4):35-36.
[3]	刘德兴,周百先,于荣堂,等.预埋件埋弧压力自动焊接工艺与设备的研究[J].四川建筑科学研究,1981(1):14-33.
[4]	罗文辉,朱雄伟,史树波.中轻型焊接H型钢自动生产线的设计和制造[J].建筑钢结构进展,2002(1):63-64.
[5]	谢鹏宇.工业机器人技术的发展与应用研究[J].造纸装备及材料,2023,52(1):53-55.
[6]	瞿希良.钢结构领域CAD/CAM系统的研究与开发[J].自动化博览,2000(5):46-47.
[7]	王志强.CAD技术在钢结构设计中的应用分析[J].中华民居(下旬刊), 2014(6):295.
[8]	梁桂芳.造船中型钢切割加工自动化和机器人化[J].造船技术,1995(11):41-44,40.
[9]	朱正宇,赵卫芳.钢材余料管理系统的建立和运用[J].造船技术,1997(10):42-44,47.
[10]	唐朝伟,梁锡昌.机械加工及在线生产中的非接触测量技术[J].机械与电子,1993(5):5-7.
[11]	贵小平.工艺的布局、设计及管理对钢结构制造成本影响的探讨[J].钢结构,2002,17(4):51-52.
[12]	夏端武,薛小凤.智能制造技术在工业自动化中的应用研究[J].机械设计与制造,2018(2):206-209.
[13]	刘照球,李云贵.建筑信息模型的发展及其在设计中的应用[J].建筑科学, 2009(1):5.
[14]	杨富春,崔路.建筑信息模型技术和相关国际标准发展现状[C]//第九届建筑业企业信息化应用发展研讨会论文集.南宁:2005.
[15]	刘淑杰,杨建.中型钢结构制造企业信息管理系统的探索[J].计算机辅助设计与制造,2001(1):9-12.
[16]	周军生.窄间隙焊接技术在钢结构制造中的应用[C]//中国钢结构协会成立二十周年庆典暨2004钢结构学术年会论文集.上海:2004.
[17]	Mourtzis D, Milas N, Vlachou K,et al. Digital transformation of structural steel manufacturing enabled by IoT-based monitoring and knowledge reuse[C]//20185th International Conference on Control, Decision and Information Technologies (CoDIT). Barcelona:2018.
[18]	Brandenburger J, Colla V, Cateni S, et al. Applying big data concepts to improve flat steel production processes[J/OL]. Big Data in Engineering Applications, 2018[2018-05-03].https://doi.10.1007/978-981-10-8476-8_1.
[19]	Li S, Wang R. The role of machine learning in the development of intelligent manufacturing under the background of industry 4.0[J/OL]. Soft Computing, 2023[2023-04-24].https://doi.10.1007/s00500-023-08105-z.
[20]	Jenis J, Ondriga J, Hrcek M S E. Engineering applications of artificial intelligence in mechanical design and optimization[J]. Machines, 2023, 11(6),11060577.
[21]	柳鹏.我国工业机器人发展及趋势[J].机器人技术与应用,2012(5):20-22.
[22]	朱永谦.智能仓储管理系统在中国铁建公司中的应用[J].中国设备工程,2023(11):57-59.
[23]	Li B H, Hou B C, Yu W T, et al. Applications of artificial intelligence in intelligent manufacturing: a review [J]. Frontiers Inf Technol Electronic Eng, 2017,18: 86-96.
[24]	邵凯,海峰,戴建斌,等.物联网技术在钢结构行业中的应用研究[J].物流工程与管理, 2012,34(9):21-22.
[25]	陈礼政.基于智能制造技术的轧钢生产线优化研究[J].冶金与材料,2023,43(6):32-34.
[26]	Manthan D,Rohan D, Shubham A,et al. Condition monitoring and predictive maintenance of process equipments[J]. ITM Web of Conferences,2021,40,01003.
[27]	吴金颖.基于改进PSO-RBFNN和IWOA的激光摆动焊接工艺参数优化[D].沈阳:沈阳大学,2024.
[28]	汪阳,余圣甫,权利,等.大型钢结构多向钢节点电弧增材制造工艺[J].焊接,2024(2):1-8,25.
[29]	颜剑.数字孪生在建筑全生命周期管理中的应用研究[J].城市建筑,2023,20(7):5-7.
[30]	白玉明,袁硕,梁善国.BIM技术在平塘特大桥钢结构制造中的应用[J].公路交通科技(应用技术版),2020,16(11):336-338.
[31]	王浩宇. BIM信息化平台在钢结构智能制造中的应用[C]//2022年全国建筑钢结构科技创新大会论文集.北京:2022.
[32]	吕猛.基于BIM技术的工程管理优化路径探讨[J].科技创新与应用,2023,13(32):189-192.
[33]	Girmay A. Application of digital twin in structural health monitoring of civil structures: a systematic literature review based on PRISMA[J]. Journal of Mechanical and Construction Engineering (JMCE), 2024(4):1-10.
[34]	Vladimir B,Nikolai B,Tishchenko E, et al. Integration of digital twin and BIM technologies within factories of the future[J]. Magazine of Civil Engineering,2020,101,10114.
[35]	Chou C C, Yu G J, Wang K J, et al. Application of robotic welding technology to the continuity plate weld within a steel built-up box column in buildings[J]. International Journal of Precision Engineering and Manufacturing, 2023, 24: 1563-1576.
[36]	Staritz P J, Skaff S, Urmson C, et al. Skyworker: a robot for assembly, inspection and maintenance of large scale orbital facilities[C]//Proceedings 2001 ICRA IEEE International Conference on Robotics and Automation. 2001: 4180-4185.
[37]	左文涛,罗国强."人工智能+"背景下的数据安全与隐私保护探析[J].电脑与电信, 2019(3):39-41.
[38]	Joshi S J, Mamaniya S, Shah R. Integration of intelligent manufacturing in smart factories as part of industry 4.0- a review[C]// 2022 Sardar Patel International Conference on Industry 4.0- Nascent Technologies and Sustainability for ’Make in India’ Initiative. Mumbai:2022.