Digital
Twin

Digital twins are the foundation of data-driven organizations within the construction and real estate industries. As a Nordic leader in digital twins for real estate and construction, Zynka ensures digital precision for optimized decisions throughout the life cycle of a built asset.

What is a digital twin?

A digital twin is a digital representation of a physical asset being planned, built, produced or managed. It is a tool used for planning, visualizing or coordinating actions according to the asset. It provides a common workspace, a platform for calculating scenarios or communicating within the team. Based on multiple data from maps and drawings, to registers and live-streams, users get unbeatable insights to optimize decision-making in relation to their asset when working with a digital twin system for real estate.

The digital twin software is a digital copy mirroring all the data and information existing in the real world, presented in an accessible and pedagogic platform that makes navigating easier and decision making safer. The digital twin is always a perfect image, giving the users the knowledge required to forecast and trust their decisions. The more live data through sensors and monitors that are connected to the twin, the more knowledge can be transferred, visualized and analyzed.

What is the Difference Between a Digital Twin and BIM?

In the realm of construction and real estate, both Digital Twins and Building Information Modeling (BIM) are pivotal technologies, yet they serve distinct purposes and offer different benefits.

Building Information Modeling (BIM) is primarily a design tool used in the planning and construction phases of a building. BIM creates a detailed 3D model that includes not just physical and structural components but also incorporates relevant data about design specifications, materials, and construction processes. It’s a collaborative tool that enables architects, engineers, and construction professionals to plan, design, and analyze building structures and systems efficiently. BIM models are static; they represent the building at specific stages of its lifecycle and are not typically updated post-construction.

Learn more about BIM project management and BIM in construction.

Digital Twins, on the other hand, are dynamic and evolve continuously. They are virtual replicas of physical buildings but extend beyond just the structural aspects. Digital Twins integrate real-time data collected from various sources, including IoT sensors and operational systems, making them live representations of the building’s current state. This technology is used not just during the design and construction phases but throughout the entire lifecycle of the building, including operation and maintenance. It allows for ongoing monitoring and analysis, enabling predictive maintenance, energy optimization, and operational efficiencies.

The key difference lies in their application and dynamism. While BIM is a powerful tool for the design and construction phases, offering a collaborative platform for planning and visualization, Digital Twins provide a comprehensive, real-time view of the building’s performance, ensuring efficient operation and maintenance long after the construction phase is complete. By complementing each other, BIM and Digital Twins together offer a complete suite of tools for the lifecycle management of buildings, from conception to operation.

Why is the Digital Twin System Crucial for Real Estate and Construction?

Digital Twin in Real Estate

Digital twins in real estate, when used in conjunction with a cloud service, allows all stakeholders to observe and assess a project from the beginning. Adding critical data, the digital twin system grows into a live model that is updated as the operations and maintenance process progresses, allowing for optimized visibility and aid for the team. Pairing geographical data with mixed or augmented reality techniques gives users an even enhanced experience of viewing the asset in its suggested or real surroundings.

For facility managers, details such as spaces and components may be examined, and the digital twin software can offer guidance for relevant corrections and actions to take. Additional environmental aspects, like space usage, system performance, accessibility, and energy consumption, can be evaluated in order to gain insight and present a complete depiction of how the constructed model will appear and operate. These insights allow project teams to make informed and optimized decisions that can help them meet their objectives. 

Hence, as a part of your organization’s data governance, forming a digital twin strategy is key for ensuring digital precision for optimized decisions. Setting requirements and best practices for planning, handover, and maintaining data enable the organization to; increase productivity in tendering, improve quality assurance, avoid unforeseen events, and turn data into valuable insights for business development.

Digital Twin in Construction

Digital twins in construction, integrated with cloud technology, empower stakeholders to monitor and assess projects from inception. Evolving as a live model enriched with critical data, the digital twin system provides a real-time reflection of the construction process, enhancing visibility and support for the team. Merging geographic information with augmented reality, it offers an immersive view of the project in its intended environment.

Construction managers benefit from detailed insights into structural components and processes, with the digital twin software offering recommendations for necessary adjustments and actions. Key factors like material usage, system efficiency, and environmental impact are analyzed, providing a comprehensive understanding of the project’s progress and performance. These insights enable informed decision-making, crucial for achieving project goals.

Therefore, developing a strategy for digital twins in construction is vital for any firm’s data governance, ensuring digital accuracy for optimized decision-making. Effective data management, from planning to execution, increases operational efficiency, enhances quality assurance, prevents unforeseen challenges, and converts data into valuable business insights.

Why choose Zynka for digital twin software

Zynka has successfully implemented various digital twin solutions and strategies for housing, office, retail, healthcare, educational, industrial construction, and real estate organizations. Through carefully selected objectives, we offer digital twin solutions for portfolio and site management, property and building management, operations, and maintenance. Regardless of your needs, we have a solution.

International Standards

Zynka has extensive expertise in implementing strategies in medium to large-sized enterprises. Our approach is based on well-established, internationally applicable standards. Through our digital twins in real estate and construction systems, we have developed and are committed to adding value at every stage of the life cycle, from planning and design to operations and maintenance.

Precision At Its Best

Our team comprises experts who understand the ins and outs of visualizing space, time, and costs to help our customers find more opportunities. With the digital twin system, complex equations and dependencies are solved by Zynka core competence, technology, and insights to always be ahead of the process, ensuring the best solutions.

Constant Growth & Learning

Our main goals are always to develop more effective work processes, limit errors, and create a less time-consuming and cost-consuming construction life cycle in the long run. To achieve this, we constantly grow our team and keep ourselves updated with the latest trends in the industry.

Q&A

Frequently Asked Questions

Q1. What is a Digital Twin?

A digital twin is a virtual representation of a physical object like a building, or system. It is a digital replica of a physical asset that can be used for various purposes such as simulation, monitoring, and analysis. It uses real-time data to provide an accurate and up-to-date representation of the physical object or system.

This technology is often used in manufacturing, aviation, and other industries to improve the performance and efficiency of complex systems. By using a digital twin, engineers and other professionals can test and analyze different scenarios and make more informed decisions about how to optimize the performance of the physical system.

Q2. How to utilize a Digital Twin in the real estate industry?

Digital twins can be used in the real estate industry in a number of ways. For example, a twin of a building could be used to simulate and optimize the energy efficiency of the building’s systems. This could involve using data from sensors and other sources to model the building’s heating, ventilation, and air conditioning (HVAC) systems, and then testing different scenarios to see how changes to the system configuration might affect energy consumption.

Another use in the real estate industry is to simulate and optimize the flow of people and goods through a building. This is useful for designing and managing large commercial buildings, such as office buildings or shopping malls. By using a digital twin, architects and building managers could test different configurations and layouts to see how they would affect traffic patterns, and then use this information to make improvements to the design of the building.

Q3. What is an Example of a Digital Twin?

A digital twin is a virtual replica of a physical entity, process, or system. An example could be a digital model of a building in the construction industry, which integrates data from various sources like sensors and software systems to mirror the real-time status, working condition, or position of its physical counterpart. In the case of a building, the twin can simulate its structure, energy systems, and occupancy patterns.

This allows stakeholders to analyze performance, anticipate problems, and make informed decisions, enhancing the building’s efficiency and sustainability.

Q4. What are the 4 Types of Digital Twins?

  • Product Twins: These represent physical products and are used in designing, testing, and refining products before they are built in the real world.
  • Process Twins: These focus on manufacturing or operational processes. They are used for optimizing workflows, reducing downtime, and improving process efficiency.
  • System Twins: These are more comprehensive, representing an entire system, like a network of factories or a city’s infrastructure.
  • Twin-to-Twin Interaction: This involves the interaction of multiple digital twins, like different systems within a smart city interacting with each other.

Q5. Why use Digital Twin Technology?

  • Improved Decision-Making: Digital twins enable the simulation of scenarios, helping predict outcomes and inform better decisions.
  • Enhanced Efficiency: By predicting problems before they occur, digital twins can improve efficiency and reduce downtime.
  • Cost Reduction: They help in identifying areas of cost savings and in optimizing resource allocation.
  • Innovation and Development: Facilitates the testing of new ideas in a virtual environment before implementing them in the real world, reducing risks and fostering innovation.
  • Lifecycle Management: Assists in the entire lifecycle of a product or system, from conception to disposal, ensuring optimal performance and sustainability

Q6. What is a Digital Twin in an IoT System?

In an IoT system, a digital twin acts as a bridge between the physical and digital world. It is a dynamic software model that replicates the physical characteristics, processes, and behaviors of an IoT-enabled device or system. By integrating data from IoT sensors, the digital twin can provide real-time insights into the performance and health of the physical object.

This enables predictive maintenance, remote monitoring, and efficient control of IoT devices, leading to smarter and more responsive systems. For instance, in a smart building, the digital twin can use data from IoT sensors to optimize energy consumption, space utilization, and building maintenance.

Case Studies

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