基于人工智能的CAD二次开发技术在道路地形图中的应用

Application of AI-Driven CAD Secondary Development Technology in Road Mapping

摘要:

传统的道路制图依赖于人工操作，效率低且易出错，急需自动化工具。基于自然语言处理（NLP）的AI代码生成模型，可以通过AutoLISP语言实现在道路制图中CAD文件的智能化处理。以道路制图过程中的地形图的处理为例，开发基于LISP语言的CAD地形图处理程序，实现等高线线型优化、图层分层等功能。通过人工智能生成LISP脚本逻辑，结合道路工程制图标准构建自动化处理框架。程序将极大地减少地形图处理时间，降低人工错误率，并通过深圳道路项目验证其实用性。结果表明：该程序突破了传统脚本编程的刚性约束，实现了自然语言指令向专业设计逻辑的智能转化，为道路工程数字化交付提供创新技术路径。

Abstract:

Traditional road mapping relies on manual operations, which are inefficient and error-prone, necessitating the automated tools. An AI code generation model based on Natural Language Processing (NLP) can realize the intelligent processing of CAD files in road mapping by using AutoLISP language. Taking the terrain map processing in road mapping as an example, a CAD terrain processing program based on LISP language is developed to achieve the functions such as contour line style optimization and layer classification. By generating LISP script logic through artificial intelligence and integrating road engineering drafting standards, an automated processing framework is constructed. The program significantly reduces the terrain map processing time, lowers the manual error rates, and demonstrates the practicality through the validation of road projects in Shenzhen. The rigid constraints of traditional script programming is broken through, and the intelligent transformation of natural language instructions into professional design logic is realized, which provides an innovative technical pathway for digital delivery in road engineering.