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The challenge
Creating accurate and responsive virtual models of physical objects and devices
Determining what modifications will optimize physical products and systems can be time consuming and costly. Current virtual modeling processes may lack near real-time data inputs needed for generating accurate, ongoing and responsive projections.
Efforts to create more sophisticated models, like digital twins, of real products and systems may need near real-time data and could require costly infrastructure, networks and IoT sensors.
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Forty-six percent of organizations worldwide considered predictive maintenance either critical or very important.
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Seventy-six percent of manufacturing respondents said that digital twins will be important or extremely important to their firm’s priorities in the next 12 months.
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Forty-six percent of financial and insurance industry respondents said they were either implementing digital twins or planning to implement in the next 12 months.
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Private 5G Network opportunities
Gain powerful insights from a private 5G-powered digital twin
Private 5G has the latency and throughput to capture near real-time IoT data and support digital twins.
Private 5G could allow you to experiment, test and optimize the digital twin before implementing on the physical operation.
A private 5G-enabled digital twin could handle the massive volume of data needed for an accurate analysis in manufacturing operations.
Private 5G could also create increased flexibility with IoT deployment and configuration for a digital twin refinement.
Cómo funciona
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What a digital twin could do for an aircraft engine design
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- The physical engine is located in a manufacturing facility.
- The engine has sensors in key locations that could send data in near real time utiliz ing multi-access edge computing (MEC). This would be via a Private 5G Network , enabling updates to the digital twin.
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What a digital twin could do for an aircraft engine design
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- The engineer could simulate the engine’s life cycle and material stresses in various real-world environments and conditions virtually, with rapid testing and optimization.
- A Private 5G Network and MEC can deliver low latency and high bandwidth to capture data in near real-time. This helps with performance modeling and optimiz ations prior to physical implementation.
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Future use case not currently available.
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