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.
A digital twin is a digital representation of a physical asset being planned, built, produced or managed. The digital twin is a tool used for planning, visualizing or coordinating actions according to the asset. It provides a common workspace, a plattform 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 relations 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, vizualized and analyzed.
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 operations and maintenance process progresses, allowing for optimized visibility and aid for the team. Pairing geographical data with mixed or augmented reality techniques give 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 optimzed 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.
Zynka has successfully implemented various digital twin solutions and strategies for housing, office, retail, healthcare, educational and industrialconstruction 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.
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 lifecycle, from planning and design to operations and maintenance.
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.
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
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. Digital twins use 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.
Digital twins can be used in the real estate industry in a number of ways. For example, a digital 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 of digital twins 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.
Additionally, digital twins could be used to monitor and manage the maintenance of buildings. By tracking the condition of various building systems and components, a digital twin could provide real-time data on the health and performance of the building, allowing building managers to identify and address potential issues before they become major problems. This could help to improve the overall reliability and longevity of the building and could potentially save money by reducing the need for expensive repairs.
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