ScaleOut Software’s version 3 redefines real-time management
“Real-time” digital twins represent an evolution of the digital twin concept beyond product design of physical assets to their use in real-time monitoring and alerting. They also can simulate assets interacting in real-world scenarios for predictive modelling, providing insights that drive optimisation and innovation. By mirroring the physical world digitally, they help organisations identify emerging issues, optimise performance, and enhance the decision-making processes.
ScaleOut Software recently unveiled version 3 of its ScaleOut Digital Twins software product, featuring a completely redesigned user interface (UI). Its scalable hosting platform enables thousands of digital twins to analyse live telemetry from devices and assets. This technology can help organizations manage large-scale systems in logistics, smart cities, healthcare, transportation, and many other applications.
Version3’s reimagined user interface is designed to streamline the use of digital twins for real-time monitoring and simulation. Users can now easily deploy and manage digital twin models, query and examine data within digital twin instances, and create real-time charts and maps capable of aggregating data from thousands of digital twins. Enhanced capabilities enable users to model future scenarios and playback past events through sophisticated simulations, paving the way for more informed decision-making. Version 3 also provides open-source APIs, allowing users to build and test digital twin models with open-source tools prior to deployment in production applications.
Challenges addressed by real-time digital twins
As we look across numerous application verticals, it’s clear that organisations encounter challenges in managing complex systems with many interacting components. It’s difficult to collect and analyse live data in real-time from numerous assets, react to emerging issues, and then optimise operations. Here are some key areas in which real-time digital twins can address these challenges.
Making data tools fit the need
In today’s data-driven decision-making landscape, users require powerful, adaptable tools to interpret real-time data and take timely action. Recognising this imperative, ScaleOut Software crafted a comprehensive solution to simplify the analysis and visualisation of live data from many data sources. Real-time digital twins do the heavy lifting by filtering and classifying incoming telemetry from these data sources, creating continuous results for operational managers.
Version 3’s UI adds important new capabilities for querying and visualising the information generated by digital twins. Geospatial queries can now seamlessly alternate between map or table displays. Users can pause and resume continuous queries, and the UI automatically saves queries for future use. The map feature has also been enhanced to use ArcGIS, delivering better visualisations and expanded options for customisation.
Empowering predictive modelling
Effectively managing complex systems like smart cities, airports, or hospital networks demands fast, effective decision-making by operational managers. Simulations that model the effects of alternative operational decisions and make use of the latest data can assist managers of critical infrastructures.
To make this possible, ScaleOut Digital Twins Version 3 introduces new features for running and tracking digital twin simulations. These features enable users to easily control and monitor lengthy simulations. For example, simulations can run at a specified multiple of real time so that they can be accelerated or slowed down as needed. They also can replay incoming messages recorded during live operations so that real-time events can be replicated in simulation for further analysis.
Tracking large systems
Tracking and modelling large, complex systems requires a fleet of real-time digital twins. This creates both computational demands for the hosting platform and challenges for the UI in presenting a wealth of data that neither overwhelms the system nor the user.
Version 3 introduces a reimagined UI design that prioritizes clear navigation and an intuitive information hierarchy. For example, the UI offers graphical widgets that aggregate data from large numbers of digital twins and present high-level overviews, effectively managing complex data by highlighting key statistics. These widgets enable users to quickly spot emerging trends and then use queries to delve into specific details with continuous tabular and mapped results as required.
Paving the way for the future
ScaleOut Digital Twins Version 3 paves the way for the innovative use of digital twins in managing complex live systems. By democratising access with open-source APIs, maximising ease of use with an intuitive UI, and providing scalable computing power with seamless third-party integration, this platform lets organisations harness the full potential of digital twins to track thousands of assets. This technology not only simplifies the management of complex systems but also adds valuable new techniques for real-time monitoring and predictive modelling.
As digital twins become integral in many industries, their ability to monitor, simulate, and optimise will drive more informed decision-making and enable a new level of real-time management.