Bentley Systems发布基础设施AI方案 助力工程
分类科技
来源CP
发布时间2026/08/05 09:00
详情描述
Bentley Systems近日宣布推出一系列人工智能驱动的基础设施解决方案,旨在通过自动化技术提升工程设计效率、资产管理水平及决策质量。
该方案的核心功能包括自动化处理重复性工程任务、优化资产检查流程、实现预测性维护,以及加速对复杂设计方案的分析。通过将人工智能引入土木工程设计领域,如OpenSite+等工具的应用,工程师能够更高效地探索设计方案并优化工作流程。
在技术应用层面,Bentley Systems强调了数字孪生技术的重要性。该技术将碎片化的工程数据转化为互联且具备AI处理能力的数字化信息。通过数字孪生与人工智能的结合,相关机构能够更全面地掌握基础设施资产状况,从而在项目全生命周期内提升资产性能并优化决策。
针对行业关注的AI角色定位问题,Bentley Systems明确表示,该技术旨在增强而非替代工程师。AI主要负责处理大规模计算与优化任务,而最终的方案审核与决策审批仍由专业工程师负责,以确保工程精度、可靠性及责任归属。
📋 简要摘要 ▸
Bentley Systems近日推出AI驱动的基础设施解决方案,旨在通过自动化重复性任务、优化资产检查及预测性维护,提升工程设计效率与决策质量。该技术强调AI辅助而非替代工程师,确保工程精度与责任归属,助力项目全生命周期管理。
📋 完整原文 ▸
[来源: CP] [分类提示: NEWS]
标题: Bentley Systems Advances Infrastructure AI with Smarter Design and Digital Twin Solutions
Bentley Systems is expanding the role of artificial intelligence (AI) in infrastructure by helping engineers improve design efficiency, asset management, and decision-making while maintaining engineering accuracy and accountability.
The company’s AI-powered solutions support infrastructure professionals by automating repetitive tasks, improving asset inspection, enabling predictive maintenance, and analyzing complex design options faster. Instead of replacing engineers, Bentley’s technology enhances their capabilities by allowing AI to handle large-scale calculations and optimization while experts remain responsible for reviewing and approving final results.
Bentley’s OpenSite+ represents a major step in bringing AI into civil engineering design, helping engineers explore solutions, improve workflows, and deliver projects more efficiently.
The company also highlights the importance of digital twins, which transform fragmented engineering data into connected, AI-ready information. By combining digital twins with AI, Bentley enables organizations to better understand infrastructure assets, improve performance, and make more informed decisions throughout the entire project lifecycle.
Through its infrastructure AI initiatives, Bentley aims to create trusted, practical AI applications that increase productivity while preserving the precision and reliability required in engineering.
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