Unlock the power of Digital Twins at Intelimek Systems: combining physics-based simulations with real-world data and AI integration for optimized system performance and unparalleled insights.
Digital Twins enhance comprehension of physical system behaviours and offer optimization tools. While those derived solely from data are incomplete, incorporating real-world data introduces variability. Understanding the operational dynamics and responses of systems requires both physical principles and real-world data. A thorough Digital Twin merges these aspects, combining theoretical frameworks with actual system behaviours.
Inclusion of Physics of the System brings in the context to derive the insights about system response to the changing operating conditions. Intelimek brings in the expertise to develop process models using CAE & Scientific Computing techniques. The models are integrated into Digital Twin workflow seamlessly.
Actual system parameters are collected via sensors and IIOT platform. Data models are build based on the measured data. Actual parameters are used as inputs to the physics and data models for analysis and prediction of system performance.
AI is integrated with IIOT data as well as CAE & Scientific Computing techniques to develop the AI powered models. AI increases accuracy and speed of the response.
A Complete Digital Twin is the one that includes models based on the Physics of the System, Measured data and parameters, and enhanced with AI
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