Digital Twins in the Tvise Platform
At Tvise, digital twins are more than just virtual representations of physical objects—they are dynamic, context-aware, and modular models designed to mirror real-world entities and abstract concepts alike. Our platform enables businesses to create, manage, and optimize digital twins that adapt in real time, providing unparalleled insight and control over operations, products, and services.
What are Digital Twins?
A digital twin on the Tvise platform is a virtual representation of a real-world object or concept that reflects its current state, behavior, and interactions. These twins often represent physical objects such as trucks, machinery, or crates, but they can also model more abstract concepts, like flights, organizations, threats, or requirements. Digital twins provide a real-time, dynamic view of both tangible and intangible elements, giving businesses a powerful tool for monitoring, managing, and optimizing their operations.
Types of Digital Twins
Connected Twins
These represent objects that are equipped with sensors or have internet connectivity. For instance, a truck twin might track real-time data such as GPS location, fuel consumption, speed, and the temperature inside the cargo area.
Abstract Twins
Abstract twins represent concepts, entities, or processes that are not physical objects but still play a vital role in business operations. Examples include a flight, a company organization, a threat, or a regulatory requirement. These twins can be used to model the relationships, events, or conditions surrounding these intangible elements, allowing businesses to track and manage complex processes or entities. For example, a flight twin can be linked to airplane twins, enabling the platform to manage and monitor the entire flight process, from takeoff to landing, while also tracking related factors like schedules, routes, and aircraft performance.
Primitive Twins
Primitive twins represent objects that are not connected to the internet and have no electronic components, such as crates, pallets, or documents. Although these objects don’t send data themselves, their digital twins can still receive updates from other connected twins or external systems like customer support platforms, HR systems, or even emails. This allows the platform to model and manage non-connected objects as part of the broader system.
Structures of Digital Twins
Tvise allows digital twins to be arranged in hierarchies, enabling more complex models to be built from simpler ones. For example, the twin of an airplane can be a “child” of a flight twin, and under the airplane twin, you can add twins for its engines. This lets you create a complete and organized model while still maintaining the autonomy of each twin. This is useful when managing large systems, such as factories, supply chains, or transport fleets.
Dynamic and Modular Design
Tvise’s digital twins are built with flexibility and scalability at their core. By using aspects—modular plugins that add specific abilities—our twins can be tailored to suit a variety of use cases. For example, aspects like geo-location, resource management, or lifecycle tracking can be assigned to twins, ensuring they have the right functionality for the task at hand. This modular approach makes Tvise twins uniquely capable of representing a wide array of entities, from connected devices to abstract systems, all within a unified framework.
Unified Context for Diverse Twins
One of the key differentiators of Tvise’s platform is the ability to manage digital twins of vastly different kinds in the same operational context. Whether modeling infrastructure in a smart city, optimizing logistics for a fleet, or managing e-mobility solutions, Tvise’s twins interact seamlessly. This unified context ensures that all twins—whether representing physical devices, software systems, or even human-driven processes—can collaborate and communicate efficiently, breaking down silos and unlocking new levels of operational synergy.
Real-Time Adaptability and Context Awareness
Tvise twins are designed to adapt in real time based on incoming data and real-world events. This makes them ideal for applications where quick decisions and immediate reactions are required. For example, a twin representing a delivery truck can update its route dynamically in response to traffic data, while a building twin can optimize energy usage based on occupancy patterns. This real-time adaptability ensures that businesses can respond proactively to changes, minimizing downtime and maximizing efficiency.
Building Trust Through Immutable Data History
When managing a population of digital twins on the Tvise platform, every change in their state is securely recorded, creating an immutable historic trace for each twin. This trace reflects the evolution of the physical product over time, capturing every significant event and transformation in its lifecycle. These securely stored histories enable businesses to ensure the integrity and reliability of their data, fostering trust in their operations.
As the population of digital twins grows, the platform allows users to analyze the data from two distinct perspectives. From a broad perspective, you can view snapshots of the entire twin population at various points in time to uncover patterns, identify causation, or detect bias across systems. This wide-scale analysis is invaluable for driving innovation, improving processes, and discovering opportunities for optimization.
Alternatively, from a deep perspective, the platform allows for granular exploration of a single twin’s history. By tracing the lifecycle of an individual digital twin, businesses can gain detailed insights into the usage, performance, and impact of the specific physical product it represents. This level of analysis supports product improvement, predictive maintenance, and optimization.
By combining secure, verifiable data storage with powerful analysis capabilities, the Tvise platform ensures that every data point is trustworthy and actionable, empowering businesses to make informed, data-driven decisions with confidence.
Why Choose Tvise Digital Twins?
Tvise’s approach to digital twins offers several distinct advantages over traditional solutions:
- Modularity: Our use of aspects allows for customized functionality, reducing complexity and improving scalability.
- Unified Context: Manage diverse twins in a single environment, enabling seamless collaboration and operational integration.
- Hierarchical Modeling: Reflect real-world relationships between systems and subsystems for improved visibility and control.
- Real-Time Insights: Adapt dynamically to data and events for smarter, faster decision-making.
- Scalability: Handle operations at any scale, from individual devices to large-scale systems like smart cities or global supply chains.
Driving Innovation with Tvise Digital Twins
By choosing Tvise, businesses gain a partner committed to innovation, efficiency, and sustainability. Our digital twins are more than just models—they are tools for transforming operations, optimizing resources, and unlocking new possibilities. With Tvise, businesses can confidently tackle today’s challenges while preparing for the opportunities of tomorrow.