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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

Construction collaboration
& maintenance

Building bridges for motorways and across waterways requires collaboration between multiple teams.

Our 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.

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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.
Construction Sequencing Simulation: Optimize logistics, resources and timeline management.
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

Enable engineers and planners to enhance decision-making, improve asset management systems and optimize resource allocation. 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.

Asset management

Enable operators to effectively manage their diverse assets including road surfaces, traffic signals, and signage to meet contracted performance requirements.

Unify disparate data and leverage AI to assess, classify, then populate data records and visualize the entire asset status in a common data environment throughout its lifetime.

Design & 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.

Target repairs before issues escalate.

Infrastructure Resilience

Use simulations can help identify vulnerable areas and prioritize maintenance efforts.

Simulate the impact of severe weather and long-term climate change on roading infrastructure, enabling engineers to develop resilience strategies and emergency response plans.

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Insights for the life of an asset
Integrate simulations, real-time data, and predictive analytics to optimize road maintenance and management.
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.
Urban Planning & Development: Visualize and analyze the impact of new developments on existing roads. Simulate changes in traffic patterns, land use, and environmental factors to inform investment decisions.

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 & Resource Optimization

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 & Flood Risk Management

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.

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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.
Risk Assessment and Emergency Preparedness: Model failures to evaluate a dam's response. Develop informed emergency action plans and improve risk assessments to prepare for potential failures.

Industry Media

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Companies that love what we’re doing
Companies that love what we’re doing