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Digital Twins Technology and Internet of Things Solutions

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Digital Twin Development Services

Digital Twin is a digital illustration of a physical thing/object, and the mechanism inside the digital twin involves sensors which are attached to the physical object for collecting data which includes physical data, manufacturing data, and operational data. Digital Twins play a significant role in Industry 4.0 using IoT, Big Data Analytics, AI and Automation solutions. The industries Impacted by Digital Twins –

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    Industrial IoT

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    Smart Cities

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    Learning Models

Digital Twins Enabled Solutions

Digital Twin enabled Solutions for empowering real-time monitoring and processing of data. After analyzing the data, enterprises can perform various operations for performing business decisions.

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Digital Twins with AI

Artificial Intelligence plays a vital part in the digital twins foundation. The working architecture includes two Components -

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Pattern Recognition

Pattern Recognition deals with behavioral aspects of the digital asset. The technologies behind predicting the life of an asset and failure systems include Advanced Machine Learning and Transfer Learning Methods.

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Learning Models

This process involves building models that can be validated, monitored, and updated continuously.

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Digital Twins and IoT

The Digital Twins work with the help of the Internet of Things. The process includes gathering real-time data with the use of intelligent components, which are collected from sensors.

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Digital Twins Engineering Services

  • XenonStack Streamline Operations Image

    Streamline Operations

    Enable Improved Productivity, Lower Maintenance Costs and Risk Rate and Increasing Reliability

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    Enabling Internet of Things (IoT)

    Improving Quality, Reducing Overall Warranty Cost, Improving Efficiency and Reducing Operational Cost

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    Enabling Solutions on the Cloud

    This concept involves gathering insights from the connected systems and channels. After collecting data, the information is rerouted to the digital world via sensors for further analysis. Analytics Techniques are used to produce insights that are enabled with the help of algorithmic functions.

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    Innovate Manufacturing Operations

    Mechanical detection, Adaptation to changing conditions, Lower risk of failures And enable Higher Performance

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