Feasibility of AI approaches to historic building inspection report analysis

人工智能方法分析历史建筑检查报告的可行性

• 批准号: 10078146
• 金额: $ 6.29万
• 依托单位: CHERIBIM LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10078146
• 关键词: Feasibility; AI; approaches; historic; building

Cheribim Ltd, in collaboration with Sheffield Hallam University, are exploring how natural language processing AI, like that used in GPT4, could be used to enhance and speed up condition inspections at historic buildings. Conservation architects and surveyors often spend up 75+% of the time it takes to deliver an inspection report to a building owner, just writing up and formatting reports. There's huge potential to cut this time completely, freeing them to use their skill and experience on higher impact work like specifying repairs and designs.

Cheribim有限公司与谢菲尔德哈勒姆大学合作，正在探索如何使用自然语言处理人工智能（如GPT4中使用的人工智能）来增强和加快历史建筑的状况检查。保护建筑师和测量师通常花费75%以上的时间向建筑物所有者提交检查报告，只是编写和格式化报告。完全削减这段时间有很大的潜力，让他们可以将自己的技能和经验用于更高影响力的工作，比如指定维修和设计。