Testbed: A Digital Twin Blueprint for Asset Transformation

Transforming Continuous Property and Asset Management with AI and Compliance-Ready Twins

A scalable model for replacing paper-based processes with real-time, regulation-aligned digital twins across asset-intensive industries.

Outdated, paper-based asset management systems limit visibility, slow response times, and create compliance challenges. The continuous property and asset management testbed proposes a standardized digital twin blueprint to overcome these constraints—enabling real-time monitoring, predictive maintenance, and AI-driven insights in complex environments.

The testbed focuses on enhancing operational efficiency, supporting ESG objectives, and ensuring regulatory compliance—particularly with the UK’s Martin’s Law, which mandates that premises demonstrate emergency preparedness. The blueprint integrates IoT sensors, AI infrastructure, and mirrored digital environments to simulate fault conditions and validate safety protocols across sites including Nexus Leeds, White Rose Park, and Oakridge High School.

Through phased testing, A/B comparisons, and fault injections, the digital twin asset management model will be validated for scalability across facilities management, manufacturing, and public venues. Key metrics include confidence calibration, downtime reduction, and the streamlining of compliance workflows. Role-based agents, integrated data governance, and cloud-hosted environments ensure secure and flexible deployment.

The continuous property and asset management testbed helps organizations future-proof operations by offering a ready-made model for AI-powered asset lifecycle management and digital twin deployment. It supports sustainable infrastructure by enabling continuous monitoring, automated emergency readiness, and intelligent decision-making in compliance-critical environments.

Ultimately, the testbed aims to set a new standard for digital transformation and asset management across industries. As industries evolve under pressure from regulatory, environmental, and operational demands, this standardized digital twin approach provides a vital foundation for scalable, smart infrastructure modernization.

The continuous property and asset management testbed contributes to industry advancement in the following ways:

  • Improving Efficiency: Streamlining operations through predictive maintenance and proactive asset management, reducing downtime and extending the lifecycle of critical infrastructure.
  • Enhancing ESG Outcomes: Supporting environmental, social, and governance objectives by enabling data-driven sustainability practices and transparent reporting across facilities and operations.
  • Ensuring Compliance: Aligning with regulatory mandates, including Martin’s Law in the UK, by providing cost-effective and comprehensive digital methods for emergency preparedness and response planning.
  • Validating Scalability: Testing and refining the digital twin blueprint through phased deployments and A/B comparisons to ensure its adaptability across a wide range of asset-intensive industries.
  • Modernizing Asset Management: Replacing legacy, paper-based systems with real-time monitoring and automation to increase operational agility in sectors such as facilities management, manufacturing, and public venues.

Member, Lead Developers

CryspDNV Ferdinand Steinbeis InstituteIngenuity LeedsNEXUS GDPROak RidgeTUV SUDXMPro

Contributing Technology Provider

  • Ingenuity