Civil Engineering
Constructing, Maintaining & Operating Bridges
Enable more efficient construction, structural monitoring, predictive maintenance, and improved safety. Simulate different scenarios and use real-time data to predict issues, enhance resilience, and reduce costs.
Building bridges for motorways and across waterways requires collaboration between multiple teams.
Digital twins provide a unified communication environment for teams,
construction sequence visualization, project supervision, handover, and operational maintenance.
Structural Health
Monitoring
Bridge mounted IoT sensors for continuous health monitoring from integrating load, vibration, temperature and wear sensor data can be easily visualized in context.
AI models can be trained to identify changes or anomalies, signaling potential structural fatigue or damage.
Improved Health & Safety
Onboard new team members with locational awareness.
Plan safety protocols and test the effectiveness of evacuation strategies within the digital twin environment.
Train workers and emergency responders using the virtual environment to enhance preparedness and minimize risks during actual incidents.
Predictive
Maintenance
Analyze historical data, weather conditions, road surface conditions and sensor inputs, to predict when components are likely to fail.
Maintenance can be scheduled before issues become critical, minimizing the need for urgent repairs, reducing cost and extending asset lifetimes.
Enhance accuracy, efficiency, and collaboration.
Conceptual Modelling: A virtual replica that includes various designs, materials and construction methods.
Stakeholder Engagement: A shared model to collaborate and provide feedback for better decision-making.
IoT Integration: Collect real-time data on conditions, materials and structural integrity to monitor progress.
Regulatory Compliance: Provide a full record of design, construction and maintenance processes.
Constructing and Maintaining Roads and Road Assets
By integrating data from sensors, traffic patterns, weather conditions, and maintenance records, digital twins provide insights that lead to safer, more efficient, and sustainable road systems.
Visual Asset Management
Enable operators to effectively manage their diverse assets including road surfaces, traffic signals, signage and vegetation to meet contracted performance requirements.
Design and Simulation
Simulate and visualize construction options, assessing their impact on traffic, environmental factors and project timelines. Evaluate the best approach before actual construction.
Predictive Maintenance
Use road condition, historical and real-time monitoring data to predict when and where maintenance is needed and target repairs before issues escalate.
Infrastructure Resilience
Simulate the impact of severe weather and long-term climate change on roading infrastructure, enabling engineers to develop resilience strategies and emergency response plans.
Insights for the life of an asset
Asset Condition Monitoring: Aggregate sensor data to enable proactive maintenance planning by identifying deterioration early, allowing for targeted repairs that extend asset lifespan and reduce maintenance costs.
Disaster Preparedness & Response: Model networks for natural disasters. Simulate scenarios, assess vulnerabilities, and develop effective emergency response plans.
Constructing and Maintaining Dams
Integrate real-time data from sensors, weather forecasts and water flow models to enable better decision-making. Ensure structural integrity, optimize resource usage, and extend the life of dams.
Construction & Maintenance
Dams present unique construction and maintenance challenges due to their functional requirements.
Our digital twin platform provides a common data environment for teams to coordinate both during construction and operation across the entire lifecycle of the asset
Real-Time Structural Health Monitoring
Integrate, analyze, visualize real-time data from sensors that monitors stress, deformation, sedimentation, water pressure, and seismic activity.
Automatically analyze these inputs and detect issues in time to prevent operational issues.
Predictive Maintenance
Use historical, operational, and environmental data to predict the wear and tear of critical components.
Use AI to schedule maintenance before failures occur, reducing unplanned downtime and extending the life of the structure.
Emergency Response
Simulate scenarios based on weather data, water levels, sediment buildup and flow rates.
Model different emergency responses to minimize flood damage.
Predict how a dam will behave in extreme conditions and plan for them.
Use cases for digital twins in asset management of dams
Structural Health Monitoring: Integrate real-time data from sensors to assess the structural integrity of the dam continuously, identify potential issues early and schedule maintenance or repairs proactively.
Lifecycle Management: Track the lifecycle of a dam, from design and construction through operation and decommissioning. Make informed decisions to optimize resources and extend a dam's lifespan.
Industry Media
Rail - Rolling Stock, Network & Stations - Visual Asset Management v2
Advanced Manufacturing - Window & Door Solutions - Asset Management - Short
Smart Cities - Infrastructure - Wellington v2
Companies that love what we’re doing
Companies that love what we’re doing
