Bentley Systems凭借其在基础设施工程领域的AI
分类科技
地点金边
来源CP
发布时间2026/09/20 09:59
详情描述
Bentley Systems近日在2026年Stevie技术卓越奖评选中，凭借其在基础设施工程领域的AI突破，荣获建筑与土木工程技术类年度技术突破金奖。
此次获奖旨在表彰Bentley Systems为STAAD.Pro和MicroStation软件开发的模型上下文协议（MCP）服务器。该技术将代理人工智能引入基础设施工程工作流程，允许工程师通过自然语言表达设计意图，由AI助手负责逻辑推理，并由Bentley软件执行建模与分析任务。在整个过程中，工程师负责审核结果、调整模型并验证设计的准确性、安全性和合规性。
Bentley Systems首席技术官Julien Moutte表示，该技术使AI助手能够调用经过验证的工程与仿真功能，在提升工作流程效率的同时，确保工程的严谨性。
具体应用方面，STAAD.Pro MCP服务器支持结构工程师通过AI助手查询模型、定义荷载工况、检索分析结果及优化设计。MicroStation MCP服务器则将此类AI驱动功能应用于CAD和BIM建模。Stevie奖是全球技术卓越领域的权威奖项之一。
📋 简要摘要 ▸
Bentley Systems凭借其在基础设施工程领域的AI突破，荣获2026年Stevie技术卓越奖。其MCP技术通过自然语言交互，显著提升了工程设计与建模效率。
📋 完整原文 ▸
[来源: CP] [分类提示: NEWS]
标题: Bentley Systems Wins Gold Stevie Award for AI Breakthrough in Engineering
Bentley Systems has won the Gold Stevie Award for Technology Breakthrough of the Year in the Construction and Civil Engineering Technology category at the 2026 Stevie Awards for Technology Excellence.
The award recognizes Bentley’s Model Context Protocol (MCP) servers for STAAD. Pro and MicroStation, which bring agentic artificial intelligence into established infrastructure engineering workflows.
Bentley’s MCP technology allows engineers to communicate design intentions using natural language, while AI assistants handle high-level reasoning, and Bentley software performs modeling and analysis. Engineers remain in control, reviewing results, adjusting models, and validating designs for accuracy, safety, and regulatory compliance.
“Infrastructure engineering demands more than plausible answers. It requires accuracy, transparency, and control,” said Julien Moutte, chief technology officer at Bentley Systems. He said the technology gives AI assistants access to Bentley’s validated engineering and simulation capabilities, enabling faster workflows without sacrificing engineering rigor.
The STAAD.Pro MCP server allows structural engineers to query models, define load cases, retrieve analysis results, and optimize designs through AI assistants. Meanwhile, the MicroStation MCP server brings similar AI-driven capabilities to CAD and BIM modeling. In one demonstration, an AI assistant recreated the param