Today, Digital Twin applications are widely used across various industries. Digital Twin solutions enable various enterprises to quickly find opportunities for innovation and improve business processes and performance by providing precise virtual representations of things and simulations of operational processes.
FREMONT, CA: A Digital Twin application combines four technologies that enable the creation of a digital representation, the collection and storage of real-time data, and the provision of valuable insights based on the gathered data. Internet of Things (IoT), Extended Reality (XR), Cloud, and Artificial Intelligence (AI) are all examples of Digital Twin technologies. Depending on the application, a given technology can be used to a greater or lesser extent.
IoT is the primary technology used in all Digital Twin applications. The IoT is built on collecting data from physical things via sensors. These data are then utilized to generate a digital representation of the actual thing that may be studied, modified, and optimized. As a result, the IoT's value creation is determined by the flow of information through a system. IoT enables Digital Twin applications to maintain a continuous connection between a virtual representation and a physical object in real-time.
XR is a technique for visualizing items that generate digital representations of them. XR features enable Digital Twins to digitally model and interact with tangible objects.
Cloud computing technology is used to store and access data efficiently over the Internet. Due to the high volume of data generated by Digital Twin applications, cloud computing enables the storage of all data in a virtual cloud and easy access to essential information from any location.
AI is a sophisticated analytical tool that automatically analyzes acquired data and provides insightful information. Additionally, it can forecast alternative outcomes and recommend how to avoid potential difficulties.
Digital Twin Applications in Manufacturing
Digital Twin for Engineering
Before creating a complex physical product, digital twin technology develops a virtual model of it that can be tested and enhanced virtually. Businesses can use digital twins to mimic and validate each stage of development to discover issues and potential failures before manufacturing the final product. Twin Engineering enables development teams to comprehend the influence of future manufacturing process changes on production outcomes and alter manufacturing operations accordingly to accomplish targeted improvements. As a result, manufacturers can improve operational processes and lower total engineering costs.
Digital Twin for Design Customization
As consumers become more intelligent, requiring personalized items promptly, the manufacturing industry becomes increasingly competitive. According to an IndustryWeek Special Research Report on the future of manufacturing, industrial enterprises of all sizes place a premium on process improvement and customer relationship strengthening. At the same time, small businesses focus on addressing customer demand for product customization.
To assist the customization process, manufacturers use Twin Design Customization, which enables virtual design and re-design of goods before generating a physical product that fully meets consumer specifications.