将生成式人工智能融入整个施工管理中

R Nyqvist, A Peltokorpi, O Seppänen
{"title":"将生成式人工智能融入整个施工管理中","authors":"R Nyqvist, A Peltokorpi, O Seppänen","doi":"10.1088/1755-1315/1389/1/012011","DOIUrl":null,"url":null,"abstract":"This research investigates the integration of generative artificial intelligence (AI) solutions in the context of construction management. Generative AI has surpassed human capabilities in various tasks, offering a unique opportunity to address longstanding development barriers in construction management. Previous research has shown how generative AI can help with individual management tasks but a wider overview of how generative AI could help in construction management is still missing. By breaking down construction management into individual tasks and linking each task to available generative AI solutions, the study uncovers multiple innovative approaches to enhance current practices. Consequently, this research introduces the mapping of management tasks and explores a range of practical implications of generative AI on construction management. The research takes a mixed-methods approach, collaborating with industry professionals from Finnish construction companies through focus group discussions (FGD), and questionnaires to gather valuable feedback. The outcome is a pragmatic summary of seven management actions, connected with generative AI solutions, and their quantitative potentiality assessment. The results indicate an overall good potential for integrating generative AI into construction management, with AI-enhanced chair and secretary actions, communication and situational awareness, data analysis and improvement, and risk management receiving the highest perceived potentiality scores.","PeriodicalId":14556,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integration of generative artificial intelligence across construction management\",\"authors\":\"R Nyqvist, A Peltokorpi, O Seppänen\",\"doi\":\"10.1088/1755-1315/1389/1/012011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research investigates the integration of generative artificial intelligence (AI) solutions in the context of construction management. Generative AI has surpassed human capabilities in various tasks, offering a unique opportunity to address longstanding development barriers in construction management. Previous research has shown how generative AI can help with individual management tasks but a wider overview of how generative AI could help in construction management is still missing. By breaking down construction management into individual tasks and linking each task to available generative AI solutions, the study uncovers multiple innovative approaches to enhance current practices. Consequently, this research introduces the mapping of management tasks and explores a range of practical implications of generative AI on construction management. The research takes a mixed-methods approach, collaborating with industry professionals from Finnish construction companies through focus group discussions (FGD), and questionnaires to gather valuable feedback. The outcome is a pragmatic summary of seven management actions, connected with generative AI solutions, and their quantitative potentiality assessment. The results indicate an overall good potential for integrating generative AI into construction management, with AI-enhanced chair and secretary actions, communication and situational awareness, data analysis and improvement, and risk management receiving the highest perceived potentiality scores.\",\"PeriodicalId\":14556,\"journal\":{\"name\":\"IOP Conference Series: Earth and Environmental Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOP Conference Series: Earth and Environmental Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/1755-1315/1389/1/012011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOP Conference Series: Earth and Environmental Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1755-1315/1389/1/012011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究调查了生成式人工智能(AI)解决方案在建筑管理中的整合情况。在各种任务中,生成式人工智能已经超越了人类的能力,为解决建筑管理中长期存在的发展障碍提供了一个独特的机会。以往的研究已经显示了生成式人工智能如何帮助完成单项管理任务,但仍缺少对生成式人工智能如何帮助建筑管理的更广泛概述。通过将建筑管理分解为单项任务,并将每项任务与现有的生成式人工智能解决方案联系起来,本研究发现了多种创新方法,以加强当前的实践。因此,本研究介绍了管理任务的映射,并探讨了生成式人工智能对建筑管理的一系列实际影响。研究采用混合方法,通过焦点小组讨论(FGD)和问卷调查与芬兰建筑公司的业内专业人士合作,收集宝贵的反馈意见。研究结果务实地总结了与人工智能生成解决方案相关的七项管理行动,并对其潜力进行了量化评估。结果表明,将人工智能融入建筑管理的总体潜力良好,其中人工智能增强的主席和秘书行动、沟通和态势感知、数据分析和改进以及风险管理的潜力得分最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Integration of generative artificial intelligence across construction management
This research investigates the integration of generative artificial intelligence (AI) solutions in the context of construction management. Generative AI has surpassed human capabilities in various tasks, offering a unique opportunity to address longstanding development barriers in construction management. Previous research has shown how generative AI can help with individual management tasks but a wider overview of how generative AI could help in construction management is still missing. By breaking down construction management into individual tasks and linking each task to available generative AI solutions, the study uncovers multiple innovative approaches to enhance current practices. Consequently, this research introduces the mapping of management tasks and explores a range of practical implications of generative AI on construction management. The research takes a mixed-methods approach, collaborating with industry professionals from Finnish construction companies through focus group discussions (FGD), and questionnaires to gather valuable feedback. The outcome is a pragmatic summary of seven management actions, connected with generative AI solutions, and their quantitative potentiality assessment. The results indicate an overall good potential for integrating generative AI into construction management, with AI-enhanced chair and secretary actions, communication and situational awareness, data analysis and improvement, and risk management receiving the highest perceived potentiality scores.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
0
期刊最新文献
Peer Review Statement Response Surface Methodological Approach for the Adsorptive Removal of Geosmin and 2-Methylisoborneol on Sodium Hydroxide-Treated Powdered Activated Carbon Torrefaction performance of Macadamia husk under a flue gas atmosphere for solid biofuel applications Assessing the Techno-Economics of Solar-Assisted Absorption Air Conditioning in a University Building in Jordan Wyoming's produced water: Analysis and green hydrogen potential
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1