• ISSN: 1674-7461
  • CN: 11-5823/TU
  • 主管:中国科学技术协会
  • 主办:中国图学学会
  • 承办:中国建筑科学研究院有限公司

通用人工智能的发展给BIM技术学习带来的机遇与挑战

The Opportunities and Challenges Brought by the Development of General Artificial Intelligence to BIM Technology Learning

  • 摘要: 本文系统地探讨了通用人工智能(AGI)技术发展对建筑信息模型(BIM)技术学习的影响。AGI通过技术创新和应用整合为BIM技术学习提供了个性化学习路径重构、跨平台协作简化及机械性劳动解放等机遇,显著降低了BIM技术学习的复杂性。然而,AGI与BIM的融合也面临着异构系统集成障碍、算法黑箱风险、数据安全威胁及教育体系滞后等挑战。通过研究分析,本文提出开源社区建设、可信技术研发及课程体系重构等对策建议,指出AGI技术红利与产业变革风险并存,未来需通过政策引导、教育创新和标准协同推进BIM技术学习和应用的智能化升级,实现建筑行业数字化转型的可持续发展。

     

    Abstract: This paper systematically explores the impact of the development of Artificial General Intelligence (AGI) technology on the learning of Building Information Modeling (BIM) technology. Through technological innovation and application integration, AGI provides opportunities for BIM learning, such as personalized learning path reconstruction, simplified cross-platform collaboration, and liberation from mechanical labor, significantly reducing the complexity of BIM technology learning. However, the integration of AGI and BIM also faces challenges such as heterogeneous system integration barriers, algorithm black box risks, data security threats, and lagging education systems. Through research and analysis, this paper proposes countermeasures and suggestions such as open source community construction, trusted technology research and development, and curriculum system reconstruction. It points out that the technological dividends of AGI coexist with the risks of industrial transformation. In the future, it is necessary to promote the intelligent upgrading of BIM technology learning and application through policy guidance, educational innovation, and standard coordination, to achieve sustainable development in the digital transformation of the construction industry.

     

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