Digital Twins

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  Advisory

  We navigate the complexities of digital twins with you. We help you understand what a digital twin means for your organization, assessing its potential impact on project delivery, asset management and revenue. Together, we craft a unique roadmap, turning insights into action and technology into transformation and growth. 

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  Design and Implementation

  We turn concepts into reality through digital twin creation. Working closely with you, we develop bespoke digital twins that mirror physical assets, unlocking new levels of insight, efficiency and innovation. Your vision, materialized through our collaboration, sets the stage for a digitally empowered future. 

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  Continuous Evolution

  We refine and elevate your existing digital twin environment as systems and technology evolves. Through a meticulous assessment, we identify areas for enhancement, aligning with your goals and market dynamics. Our targeted improvements breathe new life into your digital assets, ensuring they continue to drive innovation, efficiency and success. 

What are the most common types of digital twins?

• Facility & Asset Digital Twins

  Facility and asset digital twins are typically associated with vertical buildings and usually consist of an as-built facility BIM model with accurate representations of all maintainable assets. They typically provide access to asset information and connect to work-order management systems (CMMS) to streamline facility management. When connected to live IoT sensor systems, real-time performance data is overlayed on top of the 3D as-built model enabling other operational insights and use cases such as system performance, energy usage, asset utilization, indoor environmental quality, wayfinding, situational awareness, and many others.

• Process Simulation Digital Twins

  Process simulation digital twins are often regarded as “discrete event simulation” and are typically associated with frequently repeated process or workflow, for example in manufacturing, packaging, healthcare, or transportation, but provide immense value in any process where people and/or materials move through time and space. They are frequently used to model existing processes already in place at a facility, and test alternative scenarios to improve the current sub-optimal state. The end user can simulate the process while changing various parameters to find the workflow that yields the best result – usually the least amount of resources and time. 

• Operational Optimization Digital Twins

  An operational optimization digital twin is typically associated with horizontal utility and infrastructure assets, such as water, power, and transportation infrastructure. It combines real-time IoT sensor data, historical and environmental data, synthetic data and machine learning to train physics based and data driven models to monitor the performance of various types of systems, generate insights that may lead to improved system performance, predict potential failures, and identify and test solutions to a wide range of “what-if” scenarios in a risk-free environment. It can also be used during the design phase to test the design against potential risks and failures using synthetic data.