Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction
暫譯: 建構未來:釋放人工智慧在建築業的潛力

Re Cecconi, Fulvio, Khodabakhshian, Ania, Rampini, Luca

  • 出版商: Springer
  • 出版日期: 2025-02-05
  • 售價: $2,400
  • 貴賓價: 9.5$2,280
  • 語言: 英文
  • 頁數: 122
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031771966
  • ISBN-13: 9783031771965
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

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商品描述

This book explores the transformative impact of artificial intelligence (AI) on the construction industry, examining its readiness for widespread integration and its potential to reshape various facets of the construction lifecycle. It introduces the concept of a readiness metric tailored to the construction sector, providing a comprehensive framework for assessing and improving AI adoption. The narrative then shifts to the early stages of projects, highlighting the role of AI in promoting sustainability. From leveraging open data for data-driven decisions to using machine learning for strategic decisions in retrofitting and decarbonising the built environment, the book investigates how AI can be a catalyst for positive change in the construction process. It then explores the integration of AI into project and risk management, unlocking the potential of advanced analytics and predictive modelling to streamline processes and improve decision-making, and the application of AI in asset and facility management, highlighting how intelligent technologies can optimise the lifecycle of built assets. Examining the responsible use of AI tools, the book addresses ethical challenges and outlines guidelines for the conscientious and equitable integration of AI into the construction ecosystem. Overall, it serves as a comprehensive guide for industry professionals, researchers, and policymakers, providing insights into the current landscape, the potential of AI, and the ethical considerations necessary for responsible implementation.

商品描述(中文翻譯)

本書探討人工智慧(AI)對建築產業的變革性影響,檢視其在廣泛整合方面的準備程度及其重塑建築生命週期各個面向的潛力。它介紹了一個專為建築領域量身定制的準備指標概念,提供了一個全面的框架來評估和改善AI的採用。接著,敘述轉向專案的早期階段,強調AI在促進可持續性方面的角色。從利用開放數據進行數據驅動的決策,到使用機器學習在改造和減碳建築環境中的戰略決策,本書探討了AI如何成為建築過程中積極變革的催化劑。然後,它探討了AI在專案和風險管理中的整合,釋放先進分析和預測建模的潛力,以簡化流程並改善決策,並且在資產和設施管理中的AI應用,強調智能技術如何優化建築資產的生命週期。本書檢視了AI工具的負責任使用,針對倫理挑戰提出了指導方針,以便在建築生態系統中謹慎且公平地整合AI。總體而言,本書作為行業專業人士、研究人員和政策制定者的全面指南,提供了對當前環境、AI潛力及負責任實施所需的倫理考量的深入見解。