Digital twin systems are revolutionizing industries - from manufacturing to healthcare. These systems allow for the creation of virtual models of physical assets, processes, and systems, which can be used for simulation, testing, and optimization. Building a digital twin system can be complex. It requires expertise in various areas such as data modeling, software development, and system integration. To help organizations navigate this process, the Digital Twin Consortium has published a white paper titled "Platform Stack Architectural Framework: An Introductory Guide". Authored by David McKee of Slingshot Simulations, this guide provides an overview of digital twin systems and their capabilities, as well as guidance on qualifying a digital twin system and building a platform stack architectural framework.
Designed for C-Suite and business leaders, the guide outlines central concepts of digital twin systems. Digital twin systems can be used for various purposes, such as predicting maintenance needs, optimizing performance, and simulating scenarios. The guide explains in detail the maturity levels for a digital twin system, ranging from basic data collection to advanced analytics and machine learning. System architects can use it to simplify the technology selection process.
Platform stack architectural framework provides a structured approach to building a digital twin system by defining the layers of the system and the interfaces between them. The framework comprises four layers: data, application, platform, and ecosystem. The guide provides detailed descriptions of each layer and examples of technologies and standards that can be used to implement them. Another important aspect of the platform stack architectural framework is the concept of composable twins. Composable twins are digital twins that can be combined to create systems-of-systems, allowing for the integrating of multiple assets and processes.
The guide explains how composable twins can be used to build complex systems, and provides examples of use cases such as smart cities and supply chain management. Finally, the guide emphasizes the importance of security and trustworthiness in the platform stack architectural framework. Digital twin systems often involve sensitive data and critical processes and therefore require robust security measures to protect against cyber threats. A guide provides recommendations on how to ensure the security and trustworthiness of the system, from the collection of data to the development and integration of applications.
In conclusion, the "Platform Stack Architectural Framework: An Introductory Guide" is a valuable resource for organizations looking to build digital twin systems. By providing a structured approach to building a digital twin system, the platform stack architectural framework can help organizations manage the complexity of these systems and ensure their success.
We will delve into the details of every section in our next posts.