课题基金 / 基金详情

AI-enabled Decarbonisation Assessment Score and Analytics for Net-Zero Construction Operations (AI-DASA)

AI-enabled Decarbonisation Assessment Score and Analytics for Net-Zero Construction Operations (AI-DASA)
基于人工智能的净零建筑运营脱碳评估评分和分析 (AI-DASA)
批准号:
87591
负责人:
金额:
$12.67万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
基于“测量就是知道,如果你不能测量就不能改进它”的哲学观点,合作伙伴将利用人工智能(AI)和数据经济学。为建筑业开发一种“首创”的脱碳评分和分析系统。该平台将通过评估和评分项目设计和建筑过程的合规性水平,帮助实现建筑过程的脱碳。该系统将由两个模块组成,即:1.脱碳评估评分平台(DASP):DASP将评估建筑运营碳,并根据设计和施工过程的脱碳合规性水平给出脱碳评分(DECARB-SCORE)。DASP将采用最先进的人工智能模型,这些模型将使用材料的碳数据表、历史建筑设计文件(BIM文件)和建筑工地的运营信息(能源、设备/机械功率效率等)来开发。脱碳合规性将用适当的颜色编码合规性等级进行评级。脱碳分析平台(DECARBONALYTICS):DECARBONALYTICS平台将使用先进的深度学习技术和启发式优化算法,对替代建筑设计、组成材料和现场运营条件的组合进行假设/如果分析。这一分析将产生具有不同DECARB分数的多个方案,这将使人们能够基于所需的脱碳合规性水平和相关的可负担性来获得可操作的见解。
英文摘要
Drawing on a philosophical standpoint of "to measure is to know, if you cannot measure it you cannot improve it", the partners will leverage Artificial Intelligence (AI) and data economy.to develop a "first of its kind" decarbonisation scoring and analytics system for the construction industry. The platform will aid the decarbonisation of construction processes by assessing and scoring the level of compliance of project designs and building processes. The system will consist of two modules namely:1. Decarbonisation Assessment Scoring Platform (DASP): DASP will assess the construction operational carbon and assign a decarbonisation score (DECARB-SCORE) based on the level of decarbonisation compliance of the design and construction processes. DASP will employ state-of-art AI models that will be developed using carbon datasheet of materials, historical building design files (BIM files) and construction sites' operational information (sources of energy, equipment/machinery power efficiency, etc.). The decarbonisation compliance will be graded with appropriate colour-coded compliance levels.2. Decarbonisation Analytics Platform (DECARBONALYTICS): The DECARBONALYTICS platform will use advanced deep learning techniques and heuristic optimisation algorithms to conduct what/if analysis of the combination of alternative building designs, constituent materials and site operational conditions. This analysis will yield multiple scenarios with varying DECARB-SCOREs which will enable actionable insights based on the desired level of decarbonisation compliance and the associated affordability.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金