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表10.20 工程管理领域Top11工程开发前沿核心专利逐年公开量

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所属报告：

科睿唯安&中国工程院：全球工程前沿2025（315页）.pdf

打包全文图表

该方向受到广泛关注并快速发展。总体来看，“大模型+城市治理”的融合应用正引领智慧城市建设的新趋势，其研究方向涵盖城市规划决策智能化、基础设施与公共安全监测、公共服务个性化提升等方面。这一前沿的发展有望带动城市治理模式从经验驱动向数据智能驱动转变，实现由被动响应向主动预测、防范的跨越，对提升城市治理的科学性、精准性和智能化水平具有重大意义和广阔应用前景。大语言模型（large language model，LLM）是由具有大量参数的人工神经网络组成的一类语言模型，通过自监督学习或半监督学习对海量文本进行预训练，并经过指令调优、人类反馈已成为人工智能领域具有变革性的技术，为工程建造领域带来了新的发展机遇。基于LLM的工程建造方案自动生成技术是指利用LLM强大的自然语言理解与生成能力，自动编制工程建造相关的各类技术文档，包括设计方案、施工组织设计、施工计划、专项安全施工方案、技术验数据等）通过预训练或检索增强等方式融人模型，使其能够理解工程建造的需求、规范和约束条件，并据此生成符合工程逻辑、可读性强、结构化且可执行的方案文档。当前的主要研施工计划与调度自动生成，利用LLM根据项目信息生成任务分解、进度安排和资源配置方案； ③ 约束驱动的方案生成，探索在成本、工期、安全、环境等多重约束条件下生成可执行的施工方案；④工程设计方案生成，在概念设计阶段用LLM探索创新性设计思路并评估可行性； 5可解释性与工程可执行性优化，确保生成方案的透明性、可追溯性和实施可行性。发展趋

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