AACE: AI-enabled Automated Cost and carbon Estimating

“**愿景**目前，建筑行业在从概念设计解决方案时效率非常低，没有准确的成本**和碳**数据。目前的这种状态经常导致延迟和成本膨胀，这在行业内被认为是常态（麦肯锡，2016）。我们的愿景是通过开发标准数据结构和映射方法来提供解决方案，从而在成本规划中实现从Uniclass到标准测量方法（MoM）的自动化数量转换，从而弥合这一差距。该解决方案将使建筑项目充分利用建筑信息模型（BIM）的优势，缩短施工前阶段，降低项目管理成本，提高碳排放的可见性，并全面改善成本和碳控制。AACE（人工智能支持的自动化成本和碳估算）将成为一个应用演示者，概念验证（80%的工业和20%的实验），专注于财团合作伙伴的商业增长以及该行业的生产力提高。AACE将提供：*使用**人工智能** (AI)开发一个软件解决方案，以**自动从BIM模型中提取** ** ** *一个信息工作流，使BIM模型在项目启动过程中有效地用于成本和碳规划和估算**部署全面和标准化的全生命周期成本和碳估算方法项目联盟包括：* **Skanska** -成本和碳估算技术专家** *Nomitech** -SME - 5D BIM软件和开发提供商** *Mott MacDonald** - BIM编写和开发标准化库** *MTC** -开发和实施AI解决方案的专业知识** *HS2** -基础设施所有者提供演示环境和进入市场的途径** *RICS** -负责制定和规范测量标准的专业机构。RICS在成本和碳库的制作和分发方面拥有丰富的经验，最佳实践指南和标准化库将通过RICS公开分享给商业和碳估算专家。AACE的产出将分发给更广泛的建筑业（i3P和建筑创新中心）。Skanska估计，这些改进的数据流和工作实践将在整个交付生命周期内显著降低项目前期和施工成本，降幅为13%。这将分别减少30%和10%的碳排放，为Skanska每年节省240万英镑的成本，可能会在整个行业节省25亿英镑。aace是i3P审查和认可的战略合作项目的一部分，旨在最大限度地提高整个行业的影响。”

"**Vision**The construction industry is currently very inefficient at designing solutions from concept with accurate **cost** & **carbon** data. This current state often leads to delays and cost inflation which are accepted as the norm within the sector (McKinsey, 2016). The vision is to deliver a solution that bridges this gap by developing a standard data structure and mapping methodology that enables an automated quantity take-off from Uniclass to Standard **Methods of Measurement** (MoM) in cost planning.This solution will enable construction projects to leverage the full benefits of Building Information Modelling (BIM), leading to shorter pre-construction phases, reduced project management costs, greater visibility of carbon emissions and overall improved cost & carbon control.AACE (AI-enabled Automated Cost and carbon Estimation) will be an applied demonstrator, proof of concept (80% industrial and 20% experimental), focusing on commercial growth for the consortium partners as well as productivity improvements for the sector. AACE will deliver:* Development of a software solution to **automate take-offs** from the BIM model using **Artificial Intelligence** (AI)* An information workflow that enables the efficient use of BIM models in a process of project take-offs for cost and carbon planning and estimation* Deployment of a comprehensive and standardised approach to whole life cost and carbon estimationThe project consortium consists of:* **Skanska** - Cost and carbon estimating technical specialists* **Nomitech** -- SME - provider of 5D BIM software and development* **Mott MacDonald** - BIM authoring and developing standardised libraries* **MTC** -- Expertise in developing and implementing AI solutions* **HS2** -- Infrastructure owner providing a demonstrator environment and route to market* **RICS** -- professional body responsible for setting and regulating standards in surveying. It has an extensive experience in production and distribution of cost and carbon librariesThe best practice guidelines and standardised libraries will be openly shared to commercial and carbon estimating specialists through RICS. AACE outputs will be disseminated to the wider construction industry (i3P and Construction Innovation Hub).**Benefits**Skanska estimate that these improved data flows and working practices will significantly reduce project pre-construction and constructions costs by c.13% across the delivery life-cycle. This will:* reduce carbon by 30% and 10% embodied and operational carbon respectively* deliver cost savings of c.£2.4m pa for Skanska, potentially leading to a £2.5bn saving across the sectorAACE forms part of strategically aligned projects that have been reviewed and endorsed by i3P to maximise the industry-wide impact."