Apply advanced analytics and machine learning to reduce operational costs and risksRead: What is a Digital Twin
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 twins can help our customers across three core areas: Asset, Network, and Process.
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
This is a digital twin of a component of an asset, such as a bearing on a rotating piece of equipment. The component twin is typically a major sub-component that has a significant impact on the performance of the asset to which it belongs.
This is a digital twin of an entire asset, such as a motor or pump. Asset twins can be collections of and informed by component twins. Asset twins provide visibility at the equipment level.
The system or unit twin is a collection of assets that together perform a system- or network-wide function, such as an oil and gas refinery or a production line in a factory. A system twin provides visibility into a set of interdependent equipment.
Chad Stoecker, Vice President, Global Managed Services at GE Digital explains why digital twins are becoming the new normal for industrial companies. Read “From the space race to commonplace” in Connected Technology Solutions to learn more about how GE Digital defines a Digital Twin and how we are working with customers to save customers more than $1.5 billion by avoiding unplanned downtime in industries as diverse as Oil & Gas, Power Generation, Grid Transmission and Distribution, Aviation, Mining and Manufacturing.
A process twin is typically the highest level twin that provides a view into a set of activities or operations, such as a manufacturing process. The process twin can be informed by a set of asset or system twins but focuses more on the process itself rather than the equipment.
Optimizing the performance of assets to increase reliability and availability, minimize costs, and reduce operational risks.
Achieve less unplanned downtime by predicting equipment issues before they occur.
Reduce waste, improve yields and increase revenue and margins by optimizing the performance and throughput of your lines, plants and enterprise