January 29, 2025

Understanding Digital Twins: How They Work and Why They Matter

Understanding Digital Twins: How They Work and Why They Matter

Unlocking the Power of Digital Twins

  • Imagine visualizing and managing complex systems with real-time precision.
  • Envision optimizing workflows and predicting issues before they arise.
  • Meet digital twins: the technology bridging physical and digital worlds.

Digital twins are revolutionizing industries by enabling smarter decisions, enhancing collaboration, and driving operational excellence. This guide unpacks how they work, why they matter, and how you can create one for your business.

What is a Digital Twin?

A digital twin is a virtual representation of a physical object, system, or process that enables real-time monitoring, analysis, and simulation. Digital twin technology integrates engineering data, geospatial data, IoT inputs, and operational data into a unified, federated environment.

Using IoT-connected devices, digital twins align the physical and digital worlds, enabling visualization and monitoring of changes. The digital twin can be updated regularly with a flow of real-time data from technologies such as machine learning, simulation, and AI to aid users in decision-making. Organizations can develop and oversee digital twins of any size, ranging from small assets to complex systems, without disrupting existing processes.

Reality Capture as the Visual Layer for Digital Twins

Reality capture forms the foundation of the visual layer in digital twins, enabling the creation of accurate 3D representations of real-world environments. By utilizing technologies like LiDAR and photogrammetry, organizations can:

  • Create detailed 3D environments and facilities for precise engineering workflows.
  • Capture broader spatial data for facility management and supply chain planning.

Read our white paper on How to scan for the highest quality digital twin.

How Does Digital Twin Technology Work?

Digital twin technology operates by creating a seamless connection between the physical asset and its digital counterpart. This involves:

  • Data Collection: Gathering data from IoT sensors, reality capture technologies, and geospatial data.
  • Data Processing: Cleaning, organizing, and structuring raw data for modeling, validating and analytics.
  • Modeling and Integration: Building a 3D or system-level model that mirrors the object’s geometry, functionality, and behavior.
  • Simulation and Analytics: Running simulations to predict outcomes, identify inefficiencies, and plan strategies.
  • Real-Time Updates: Synchronizing data to ensure the digital twin reflects current as-built conditions.
  • Software Integration: Breaking down data silos by connecting with CAD systems, IoT platforms, ERP tools, and Common Data Environments (CDEs).

Layers of a Digital Twin

Digital twins can be complex ecosystems composed of interconnected layers, each playing a crucial role:

  • Physical Layer: The real-world object or system.
  • Data Layer: Collects raw data from sensors and devices.
  • Connectivity Layer: Transmits data to a centralized system.
  • Data Processing Layer: Cleans and structures data for usability.
  • Modeling and Simulation Layer: Builds digital replicas through models and simulations.
  • Data Analytics and Intelligence Layer: Applies AI and analytics for actionable insights.
  • Control and Automation Layer: Provides feedback and control to the physical system.
  • User Interaction Layer: Interfaces for user engagement.
  • Visual Layer: Represents data and models visually.

Prevu3D software excels in many of these layers, offering tools to maximize reality capture data and connect it to all engineering, manufacturing, and operational processes to empower users in creating highly visual digital twins.

 

Digital Twin Ecosystem

A comprehensive digital twin ecosystem encompasses the entire lifecycle of the built environment, from planning and design to commissioning and ongoing operations. Prevu3D’s solutions enhance this ecosystem by:

These tools empower organizations to:

  • Visualize complex systems, assets, and environments in 3D.
  • Document sites and manage assets effectively.
  • Monitor and action changes in real time.
  • Simulate scenarios for engineering design, training and decision-making.

Working with Prevu3D, we’ve seen a new wave of engineers who need more than just CAD designs—they need highly visual tools. By integrating real capture into platforms like Omniverse, we’re enabling engineers, users, and developers to fully engage with their work, making it accessible and impactful for a broader audience.

– Don Johnson, Developer Relations Manager at NVIDIA

Watch our panel discussion The Power of 3D Modeling and Digital Twins in Engineering Simulation and Design with special guests Don Johnson, Developer Relations Manager at NVIDIA, and Alex Doukas, Senior Account Manager at Kinetic Vision.

What Types of Digital Twins Are There?

Digital twins are versatile tools that enhance manufacturing efficiency by integrating real-time data with 3D visualizations, providing actionable insights across operations. Multiple types of digital twins can run side by side within the same system, each offering a unique virtual representation of specific elements or processes. While some digital twins replicate only single parts of an object, all are critical in delivering a comprehensive understanding of complex systems. The most common types include:

  • Product Twin: Tracks individual products across their lifecycle with 3D models, real-time overlays (e.g., temperature, stress), and animations of performance under various conditions.
  • Process Twin: Optimizes workflows and material flows with 3D models or flowcharts highlighting bottlenecks and areas for improvement.
  • Plant Twin: Offers a facility-wide 3D model to monitor equipment, layouts, and KPIs through interactive dashboards.
  • System Twin: Focuses on subsystems like HVAC or robotics with layered 3D models showing temperature, energy use, or flow rates.
  • Performance Twin: Monitors equipment performance using real-time dashboards with heatmaps, graphs, and predictive maintenance alerts.
  • Supply Chain Twin: Maps inventory, logistics, and supplier performance using interactive material flow maps and shipment timelines.
  • Workforce Twin: Highlights safety and productivity using 3D workspace models, movement tracking, heatmaps, and ergonomic monitoring.

Prevu3D’s Contribution

Prevu3D simplifies digital twin creation with advanced reality capture data processing and visualization. By generating 3D models  of the built environment, it supports digital asset management, layout design, and engineering workflows. Its user-friendly interface and collaborative tools help optimize performance and improve safety across various industries.

Applications of Digital Twins

Digital twins are transforming asset-heavy industries by optimizing processes, enhancing decision-making, and bridging physical and digital environments. They drive efficiency, safety, and innovation across various sectors, including:

  • Construction: Monitor site progress, resolve design clashes, ensure safety compliance, and optimize project timelines.
  • Manufacturing: Track equipment performance, predict maintenance, optimize workflows, and reduce downtime.
  • Geospatial: Develop 3D maps for urban planning, monitor environmental changes, and manage disasters.
  • Engineering: Simulate designs, analyze structural integrity, and enhance team collaboration.
  • Oil & Gas: Monitor equipment, simulate processes, and improve safety and operational planning.
  • Food & Beverage: Optimize production lines, manage supply chains, and ensure regulatory compliance.
  • Automotive & Transportation: Track vehicles, simulate designs, and streamline logistics.
  • Maritime & Shipbuilding: Monitor vessels and equipment, simulate navigation and extraction, and assess environmental impact.

Prevu3D digital twin solutions empower industry-leading companies to drive innovation. Read our case studies. 

Read the full case study to see how Rotating Machinery Service unlocked value and multiplied return using Prevu3D digital twin solutions.

Benefits of Digital Twins

Digital twins offer users many benefits. Consider the following.

  • Enhanced Performance: Optimize equipment, plants, or facilities with real-time insights, reducing downtime and ensuring peak efficiency.
  • Predictive Maintenance: Smart sensors monitor components, flagging issues early to prevent costly breakdowns.
  • Cost Savings: Minimize rework, enable remote collaboration, and reduce travel to hazardous or remote sites through virtual inspections.
  • Remote Monitoring: Monitor and control facilities from anywhere, enhancing safety by limiting exposure to dangerous equipment.
  • Accelerated Production: Use digital replicas to simulate and refine designs, workflows, and facilities before actual production, cutting timelines.
  • Improved Safety: Visualize hazards and plan incident responses, such as mapping safety zones or simulating evacuations.
  • Sustainability: Monitor emissions, optimize resource use, and streamline supply chains to reduce carbon footprints.

By integrating these benefits, digital twins empower industries to operate smarter, safer, and more sustainably, transforming operations and decision-making.

See how Amsted Rail leveraged Prevu3D digital twin technologies to drive transformation in traditional manufacturing.

Digital Twin vs. Simulation

While simulations focus on hypothetical scenarios, digital twins offer real-time updates and continuous synchronization with physical systems. Digital twins provide a dynamic, real-world representation, making them more versatile for monitoring, predictive analytics, and optimization.

Digital Twin Tools for 3D Modeling

Solutions like Prevu3D simplify the creation of digital twins by enabling high-quality 3D modeling and visualization. These tools allow seamless integration of engineering data, real-time updates, and scalable solutions for industries.

Challenges of Digital Twins

While digital twins provide immense benefits, their implementation and maintenance present several challenges that organizations must address to fully realize their potential. One of the most significant hurdles is keeping the digital twin accurate and up-to-date over time.

  • Data Integration: Combining data from various sources, such as IoT sensors, CAD models, and scanning devices, can be complex and time-consuming, requiring sophisticated tools for seamless integration.
  • Cost: The initial setup of a digital twin, including scanning technologies and data infrastructure, can be prohibitively expensive for smaller organizations.
  • Cybersecurity: IoT-connected systems are vulnerable to cyber threats, making it crucial to secure data transmissions and access points to protect sensitive information.
  • Skill Gap: Developing and maintaining a digital twin requires expertise in data analytics, IoT, 3D modeling, and other specialized fields, which can be a barrier for teams with limited resources.
  • Data Accuracy and Complexity: Ensuring the digital twin reflects real-world conditions requires precise and consistent data collection, processing, and validation.
  • Scalability: Expanding a digital twin to cover large-scale environments can strain resources, infrastructure, and computational capabilities.

Prevu3D Solutions

Prevu3D simplifies and enhances the digital twin workflow with innovative features:

  • Automated Processes & Cloud Hosting: A secure, scalable cloud platform enables seamless collaboration and efficient management of large environments.
  • User-Friendly Interface: Simplifies data transformation into lightweight, manageable formats, eliminating the need for specialized hardware or expertise while maximizing end-user value.
  • Space Composition: Combines data from drones, SLAM devices, and terrestrial scanners into a cohesive 3D model. This dynamic process ensures precise alignment and easy updates while allowing users to overlay, mask, and refine data layers.
  • 3D Asset Creation: Converts unstructured data, like point clouds and meshes, into structured reality assets. Semantic layers help define and segment assets for efficient management and reuse.
  • Visual Compare: Compares CAD models with scanned environments using color-coded thresholds to highlight deviations, detect missing components, and annotate defects, ensuring model accuracy.
  • RealityConnect: Plugins that revolutionize CAD modeling with advanced point cloud-to-mesh technology, supporting multiple detail levels and seamless integration into CAD/BIM workflows. Checkout RealityConnect for Autodesk Revit.

Prevu3D Data Security Highlights

  • Encryption: Data is encrypted at all times using TLS 1.2+ during transit and AES encryption for storage.
  • Access Control: Flexible access control with SAML-based SSO and group mapping for easy management of user permissions.
  • Security Testing: Regular penetration testing by independent firms ensures product security.
  • Certifications: SOC 2 Type II and CyberSecure Canada certifications validate compliance and security standards.
  • Cloud Provider: Powered by Amazon Web Services (AWS), the trusted leader in cloud services.

With intuitive tools, automated processes, and robust security measures, Prevu3D empowers organizations to manage and overcome the challenges of digital twins. Its innovative features and seamless integrations simplify workflows, ensure accuracy, and protect data, enabling teams to fully harness the potential of their digital ecosystems.

The Future of Digital Twins

As IoT, AI, and cloud computing advance, digital twins are poised to:

  • Deliver smarter analytics for predictive maintenance.
  • Expand into sectors like healthcare and urban planning.
  • Enhance real-time decision-making through edge computing.
  • Support sustainability efforts and net-zero goals by optimizing energy use, reducing emissions, and improving resource efficiency.

Digital twins are transforming industries by bridging the gap between physical and digital realities. As technology evolves, their potential to drive innovation and efficiency will only grow.

For support in creating your digital twin and navigating your digital transformation journey, book a one-on-one with a Prevu3D experts.