Facilities
Digital Twins in Airports
Digital twins offer airport operators the ability to create virtual replicas of physical assets and operations, enhancing efficiency, optimizing maintenance, and improving passenger experience.
Predictive Maintenance of Airport Equipment
By integrating IoT, SCADA and other sensor systems a digital twin can be used to monitor real-time data from critical assets like baggage handling systems, escalators, and HVAC systems. By analyzing performance metrics and detecting anomalies, the digital twin can be used to predict equipment failures before they happen.
Enhancing Passenger Flow & Experience
By using historic and real-time data from sensors, cameras and flight information systems, digital twins can help visualize passenger movement in the airport. These insights help operational teams optimize queue management, improve wayfinding, and reduce congestion.
Optimizing Airport Resource Allocation
Digital twins can be used to simulate different operational scenarios, such as changes in flight schedules, unexpected surges in passenger volume or changes in waiting area layouts. This enables airport management to optimize the allocation of resources like staff, gate assignments, and parking spaces.
Enhancing Emergency Response & Safety
A digital twin can model various emergency scenarios, such as fire, security threats, or medical emergencies. When combined with sensors, AI and analytics, Digital twins can provide a comprehensive view of the airport layout, including passenger density and the status of safety equipment.
Using a Digital Twin to Improve Passenger Experience in an Airport
Digital twins can help airport management teams to enhance operational efficiency, improve passenger experiences, and ensure predictive maintenance for smoother, cost-effective operations.
Digital Twins in Hospitals
Digital twins of hospitals and healthcare facilities can optimize asset management, patient flow, and resource allocation, significantly enhancing patient care, operational efficiency, and staffing effectiveness based on patient needs.
Enhanced Patient Care
By modelling patient pathways, treatment times, resource usage and patient flow between locations, hospitals can reduce wait times, treatment times and improve overall patient satisfaction.
Operational Efficiency
Through simulations with integrated artificial intelligence, digital twins can help optimize resource utilization, from operating rooms to medical equipment, reducing bottlenecks and minimizing downtime.
Predictive Maintenance
Real-time data from medical devices and infrastructure sensors combined with AI algorithms enable predictive maintenance, preventing equipment failures, improving asset longevity and safety.
Asset Management
Communities rely on the effectiveness of their healthcare infrastructure. Digital twins provide a suite of capabilities for managing and extending the lifetime of critical infrastructure to help better meet community needs.
Digital twins of healthcare facilities
The adoption of digital twins by healthcare facility management teams can bring significant benefits to the communities where they are located.
By adopting digital twins, healthcare authorities can enhance patient experiences, reduce operational costs, and ensure the efficient use of resources, ultimately leading to better health outcomes.
Digital Twins in Ports
In ports, digital twins are employed to enhance efficiency, safety, decision-making, and sustainability. By integrating real-time data from various sensors, equipment, and systems, a digital twin provides a comprehensive view across port operations.
Predictive Maintenance
Leveraging historical performance, maintenance records and sensor data, port authorities can use AI algorithms embedded in the digital twin platform to predict when timely maintenance is needed, before disruptions occur.
Enhanced Traffic and Cargo Management
Simulating the flow of ships, trucks, and cargo, the digital twin can be used to help optimize traffic patterns and scheduling. Digital twin-enabled simulations can help port teams optimize resource allocation, reduce congestion and improve the flow of goods.
Energy Optimization and Sustainability
By modelling energy use across various operations, a digital twin can be used to help identify areas of inefficiency and recommend adjustments, like optimizing the use of lighting or power for cranes, to minimize energy consumption and reduce the port's carbon footprint.
Emergency Response and Risk Management
In an emergency, a digital twin can help port authorities quickly assess risks, model potential impacts, and coordinate an effective response, minimizing damage and enhancing safety.
Enhanced traffic and cargo management
Digital twins enhance port efficiency by integrating data from various sources for real-time monitoring of traffic and cargo flow. Predictive traffic scheduling uses historical data and current conditions to forecast peak times and avoid bottlenecks. Optimized cargo handling and storage analyze real-time data to identify the most efficient unloading, storage, and transport strategies.
Digital Twins for Universities
Create a virtual model that mirrors the physical campus, its operations, and processes in real time. Integrate data from various sources (IoT, campus management systems, and academic records) to provide actionable insights, optimize resources, and improve decision-making.
Enhance Operational Efficiency
By monitoring energy usage, space utilization, and facility conditions, universities can reduce costs, increase sustainability, and streamline maintenance.
Improve Student Experience
Use a digital twin to track and respond to student needs in real-time, offering insights into campus navigation, facility usage, and event planning.
Support Academic Research & Learning
Use the digital twin as a dynamic educational tool, enabling real-world data analysis and research opportunities in fields like engineering, data science, and environmental studies.
Increase Campus Safety & Security
Through real-time monitoring and predictive analytics, digital twins can help identify potential safety risks and enhance emergency response strategies.
enhance operational efficiency
Energy Management and Sustainability: automatically adjust heating, cooling, and lighting based on occupancy levels, weather conditions, and time of day.
Streamlined Campus Operations: By continuously analyzing data on utilities, space usage, and equipment performance, the university can make informed decisions on allocating resources more effectively, such as staffing levels for cleaning or security based on building occupancy trends.
Digital Twins for Data Centers
A virtual, data-rich representation of a physical data center enables real-time monitoring, simulation, and optimization of operations. Operators can improve efficiency, reduce costs, and enhance decision-making.
Energy Efficiency Optimization
Simulate energy consumption patterns and optimize cooling systems to reduce power usage while maintaining performance.
Capacity Planning
Model future growth scenarios to plan for additional servers, storage, or cooling capacity without over- or under-provisioning resources, ensuring scalability and cost-effectiveness.
Network Optimization & Traffic Management
Analyze and simulate data traffic patterns to optimize network configurations, minimize latency, and ensure reliable connectivity.
Hardware Lifecycle Management
Track and manage the lifecycle of physical hardware within the data centre. Use the digital twin to monitor performance, plan upgrades, identify underutilized assets, and ensure timely replacement or decommissioning.
Manage hardware lifecycle
Asset Tracking and Visualization: Operators can visualize hardware conditions, usage patterns, and dependencies in a centralized interface.
Performance Monitoring: Predict hardware failures based on historical trends and performance anomalies.
Lifecycle Planning: Avoid unexpected downtime from outdated hardware while reducing costs by optimizing upgrade cycles.
Industry Use Cases
Purangakura - Digital Twin Te Ihu o Mataoho
Large Scale Facilities - Create Virtual Building Spaces - Showcase
Large Scale Facilities - The University of Auckland - Showcase
Companies that love what we’re doing
Companies that love what we’re doing
