AI设计软件助力土木工程 缓解柬埔寨基建人才短缺
分类科技
地点全球
来源CP
发布时间2026/08/15 08:30
详情描述
全球土木工程行业正面临严重的人才短缺,预计未来十年内将有数百万基础设施从业者需要更替。为应对这一挑战,工程公司Stantec引入了Bentley Systems开发的AI设计软件OpenSite+,旨在通过自动化处理场地开发中耗时且复杂的环节,提升工程设计效率。
场地平整是建筑、停车场及排水系统建设中的核心环节,涉及复杂的地形塑造,通常需要多年经验积累才能掌握。OpenSite+利用人工智能技术,实现了土方分析和排水设计等基础任务的自动化。该软件能够根据当地法规、区域施工成本及气候条件等实际约束,自动生成多项场地设计方案,协助工程师更高效地评估不同方案的优劣。
与依赖人工绘图和独立计算的传统二维CAD软件不同,OpenSite+从设计初期即构建智能三维模型。这一转变改变了工程师的工作流程,使其工作重心从手动绘制设计草图转向对AI生成结果的审核与验证。
该技术的应用降低了新员工的入门门槛,并使资深工程师能够将精力集中于高层级的决策与质量控制。通过在设计阶段及时发现并修正潜在错误,该方案有助于减少施工过程中的成本损失,对提升柬埔寨等地的基建项目数字化水平及设计质量具有积极意义。
📋 简要摘要 ▸
Stantec公司引入Bentley Systems的AI设计方案,通过自动化场地平整等复杂流程,提升工程设计效率并减少人为错误。
📋 完整原文 ▸
[来源: CP] [分类提示: NEWS]
标题: AI-Powered Software Tackles Civil Engineering Talent Shortage
Civil engineering firms are facing a critical labor shortage, with millions of infrastructure workers needing replacement over the coming decade. To combat this, leading engineering firm Stantec has adopted Bentley Systems’ OpenSite+, an AI-powered design solution designed to automate the most time-consuming and complex aspects of site development.
Site grading—the intricate process of sculpting terrain for buildings, parking, and drainage—has historically been a difficult skill to teach, requiring years of experience to master. OpenSite+ addresses this by using AI to automate foundational tasks, such as earthwork analysis and drainage design.
By generating multiple site design proposals based on real-world constraints like local regulations, regional construction costs, and climate-specific requirements, the software allows engineers to evaluate tradeoffs more efficiently.
Unlike traditional 2D CAD software that relies on manual lines and separate calculations, OpenSite+ creates an intelligent, three-dimensional model from the start. This transition streamlines workflows by shifting the focus of engineers from manually producing design iterations to reviewing and validating AI-generated results.
This not only makes onboarding newer staff more intuitive but also empowers experienced engineers to focus on high-level judgment and quality control. By catching costly errors during the design phase rather than i