Apply advanced analytics and machine learning to reduce operational costs and risksRead: What is a Digital Twin
Digital twins are a key piece of the digital transformation puzzle. They create an accurate virtual replica of physical objects, assets, and systems to boost productivity, streamline operations and increase profits.
Listen to GE Digital’s Chief Technology Officer, Colin Parris, explains how these virtual models can accelerate digital transformation on CXO Talk. Understand:
Digital Twin is most commonly defined as a software representation of a physical asset, system or process designed to detect, prevent, predict, and optimize through real time analytics to deliver business value. At GE Digital, we are focused on how digital twin software can help our customers across three core areas: Asset, Network, and Process.
GE Digital, a co-founder of the Digital Twin Consortium, provides software that is the backbone of modern plant operations. Colin Parris, Senior VP and CTO at GE Digital, describes how GE Digital is innovating in digital twin technology and working with other members of the Digital Twin Consortium to optimize the performance of industrial businesses.
Monitor, simulate and control an asset, process or network as an effective strategy to improve system performance
Protect the health and safety of employees, the environment, and business objectives, by reducing asset- and process-related incidents and avoiding unplanned downtime
Predict issues before breakdowns occur, order parts, and schedule repairs at times that don’t impact production goals
Ensure product quality with insight into the performance of assets and processes in real-time to influence and react to customization and minimize impact on supply chain
Leverage industry expertise, easy-to-use tools, and the most complete Blueprint catalogue that provide the analytics and real-time capabilities that industry needs
Our SmartSignal and Asset Performance Management (APM) solutions create Digital Twins based on operational / fleet data of components (pumps or compressors), critical assets (turbines) or systems of assets (an entire power station).
To date, we’ve saved our customers $1.6BN through Digital Twins real-time monitoring capabilities, and currently have 1.2m Digital Twins of jet engines, wind-farms, off-shore oil rigs, power generation equipment, pumps, compressors, chillers, and more.
We have more than 330 different Digital Twin ‘blueprints’ available for customers in our analytics catalog – it’s easier than ever to rapidly get value from Digital Twin.
GE Digital’s ADMS, GIS, and AEMS technologies help grid operators create a Network Digital Twin, which provides a connected view of the end-to-end network of assets, based on real operational data. It includes as-is, to-be, and real-time views of the network and enables all departments to contribute and consume data that help deliver better outcomes.
Network Digital Twin can help operators create virtual models to better operate, analyze and optimize how the grid responds to the impact of increasingly extreme weather, aging infrastructure, and the growing use of renewables on the grid.
Network Digital Twins can produce cost reductions of up to 30%, planning time reductions of up to 20%, and reduction in new build and internal process costs up to 7%. Utilities can also achieve field inspection and back office productivity improvements by as much as 8% as well as improved network asset analysis and data accuracy.
Process Digital Twins create models of ‘the best way’ to run a process in a given environment – often referred to as ‘the golden batch’. By identifying the most optimal process to manufacture a given product, plant operators can ensure they are consistently delivering against quality, cost and volume objectives.
Through our CSense Operations Performance Management solutions, Process Digital Twins help manufacturers meet the challenges of fast-changing consumer demand, regulatory requirements, and looming generation knowledge gap with results like reduced product waste by up to 75%, quality complaints reduced by 38%, throughput increased by 5% – 20%, and OEE increased by 10%.
Check out our Digital Twin video demo series. Through 5 short videos, you can see how Digital Twin technology can be used to predict, diagnose and forecast failures in industrial assets and operations.
Read some of the latest information on digital twin technology.
Optimizing the performance of assets to increase reliability and availability, minimize costs, and reduce operational risks.
Model, manage and accelerate the value of your connected network
Industrial analytics software that optimizes asset and process performance.