用图像识别与大模型解析手绘梁结构，自动解题
Image-Based Structural Analysis Using Computer Vision and LLMs: PhotoBeamSolver
- 通过计算机视觉识别手绘结构图中的构件
- 可处理教材常见理想化梁模型的自动求解
- 适合土木工程教学辅助与智能审图场景
本文提出PhotoBeamSolver程序，能够从人工绘制的结构图中自动解析并求解典型教材中的理想化梁模型。系统基于计算机视觉与统计学习技术，实现对结构构件的检测与视觉理解。文中分析了将计算机视觉应用于结构分析的主要挑战与局限性，并探讨了其在土木工程领域可靠应用所需的技术要求。同时，研究了该程序的实现路径，讨论了当前计算机视觉在结构分析、基础设施检测及工程决策支持系统中的发展现状。
原文摘要 · Abstract (English)
This paper presents the development of a documented program capable of solving idealized beam models, such as those commonly used in textbooks and academic exercises, from drawings made by a person. The system is based on computer vision and statistical learning techniques for the detection and visual interpretation of structural elements. Likewise, the main challenges and limitations associated with the integration of computer vision into structural analysis are analyzed, as well as the requirements necessary for its reliable application in the field of civil engineering. In this context, the implementation of the PhotoBeamSolver program is explored, and the current state of computer vision in civil engineering is discussed, particularly in relation to structural analysis, infrastructure inspection, and engineering decision-support systems.
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