The Potential of Using Artificial Intelligence (AI) to Analyse the Impact of Construction Industry on the Carbon Footprint

Peter Mésároš, Jana Smetanková, Annamária Behúnová, Katarína Krajníková
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Abstract

Construction is an important sector of human activity that significantly impacts the environment. The impact of this sector can be analysed from different perspectives, such as consumption of natural resources, waste generation, energy intensity, and environmental change. The sector is increasingly promoting using renewable materials, energy-efficient practices, and planning those respects ecological processes and biodiversity. Against this background, it is important to take coordinated action across the sector and move to net-zero carbon standards through immediate action to raise awareness, implement innovation, and improve carbon management and reporting processes. Tools supporting the reduction of the adverse impacts of construction activities include artificial intelligence tools. The construction industry has long been considered a conservative and traditional industry but is now experiencing a technological revolution. Gradually, artificial intelligence (AI) principles and tools are beginning to be integrated into the various lifecycle processes of construction projects. This paper analyses the AI tools used to analyse carbon footprinting in the construction sector in terms of selected functionalities. The results of the research will form the basis for the development of a strategic plan for the development of AI within the research activities at the Faculty of Civil Engineering in Košice.

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利用人工智能(AI)分析建筑业对碳足迹影响的潜力
建筑业是人类活动中对环境产生重大影响的一个重要领域。可以从自然资源消耗、废物产生、能源强度和环境变化等不同角度分析该行业的影响。该部门越来越多地提倡使用可再生材料、节能做法以及尊重生态过程和生物多样性的规划。在此背景下,整个行业必须采取协调行动,通过立即采取行动提高认识、实施创新、改进碳管理和报告流程,从而达到净零碳标准。支持减少建筑活动不利影响的工具包括人工智能工具。长期以来,建筑业一直被认为是一个保守而传统的行业,但现在正在经历一场技术革命。人工智能(AI)原理和工具逐渐开始融入建筑项目的各个生命周期过程。本文从选定功能的角度分析了用于分析建筑行业碳足迹的人工智能工具。研究成果将为制定科希策土木工程学院研究活动中的人工智能发展战略计划奠定基础。
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