ARC Industrial Transformation Research Hub on Connected Data for Infrastructure Net Zero

Overview

This project integrates infrastructure common data model (ICDM), engineering cost and carbon libraries (ECCL), and the MetaBIM platform with AI to enable automated, lifecycle-wide carbon accounting and decision support for net zero infrastructure. Drawing on transport and local government applications, it delivers scalable solutions to support net zero infrastructure.

Fragmented project data (BIM, 12D, invoices, asset data) is transformed into structured, decision-ready intelligence. Agentic AI enables optimisation of cost, carbon, and risk through real-world pilots.

Objectives

The objectives of this project are organised under the following broad categories:

1. Establish an infrastructure common data model (ICDM) for lifecycle interoperability. This objective focuses on creating a unified data framework that standardises how information is structured and exchanged across all stages of infrastructure projects. It ensures interoperability, traceability, and consistent data quality from planning through to operation and maintenance.
2. Develop AI-enabled carbon accounting integrated with MetaBIM. This objective aims to build an intelligent system that automatically captures and calculates carbon emissions using project data such as models, invoices, and reports. By integrating with MetaBIM, it enables seamless, accurate, and scalable carbon accounting across digital workflows.
3. Enable automated decision-making balancing cost, carbon, and risk. This objective develops AI-driven tools that support informed decision-making by analysing trade-offs between cost, carbon emissions, and project risks. It allows stakeholders to explore optimal solutions quickly, with transparent and explainable recommendations.
4. Validate through real-world infrastructure case studies. This objective ensures the developed tools and frameworks are tested in practical settings with industry partners. It demonstrates real-world applicability, performance, and scalability, supporting broader adoption across the infrastructure sector.

Industry Outcomes

This project aims to deliver the following key industry outcomes:

1. AI-driven carbon accounting system aligned with industry workflows. An intelligent system that automatically calculates and reports carbon emissions using existing industry processes and data sources.
2. Connected data ecosystem improving interoperability and data quality. A unified data environment that enables seamless information exchange while enhancing consistency, accuracy, and traceability.
3. Automated decision-support for cost–carbon–risk optimisation. AI-powered tools that help stakeholders quickly identify optimal solutions by balancing financial, environmental, and risk considerations.
4. Integrated digital workflows (BIM, 12D, real project data). A streamlined workflow that connects design models and real project data to enable efficient analysis and decision-making.
5. Practical tools, guidelines, and training for industry adoption. A suite of user-ready resources and training programs to support effective implementation and uptake across industry.