Siemens had no grants in future of work as a theme in Q2 2024.

Recent Patents

Application: Real-time calibration for detailed digital twins (Patent ID: US20240210933A1)

The patent filed by Siemens AG describes a method for calibrating a digital twin of a physical complex system by receiving sensor data, calculating an error between the digital twin and the physical system, generating candidate parameters based on a gradient optimization, applying these parameters to the digital twin, and recalculating the error until it meets a user-defined tolerance. The process involves iterative steps of error calculation, parameter generation, and application to the digital twin, ensuring real-time calibration and adaptation to changing system states.

Furthermore, the system described in the patent includes a computer processor and memory storing instructions for creating a digital twin, receiving sensor data, calculating errors, determining gradients, generating candidate parameters, updating the digital twin output, and recalculating errors. The digital twin is based on a parametric differentiable model that combines physics-based models and sensor data, with the calibration process involving gradient optimization and machine learning techniques. The system is designed for space-rich 3D systems like building control systems, enabling the implementation of proposed scenarios based on the digital twin analysis, particularly focusing on climate systems in large buildings.

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