Siemens had 26 patents in metaverse during Q2 2024. Siemens AG filed patents in Q2 2024 for methods related to calibrating digital twins of complex systems, identifying places of interest using augmented reality, automatically tuning digital twins of physical systems, creating digital companions for providing guidance based on detected errors, and visualizing interactions in extended reality scenes using optical sensors. These methods involve utilizing sensor data, physics-based models, adaptive filtering, and machine-readable information to improve the performance and user experience in various applications. GlobalData’s report on Siemens gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Siemens had no grants in metaverse 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 iteratively repeating these steps until the error is within a user-defined tolerance. The digital twin is a differentiable model that can be calibrated in real-time, and the method involves using machine learning networks for parameter generation.
Furthermore, the system for calibrating the digital twin includes a computer processor and memory storing instructions for creating the digital twin, receiving sensor data, calculating errors, determining gradients, generating candidate parameters, updating the digital twin output, and recalculating errors iteratively. The digital twin is based on a parametric differentiable model that combines physics-based models and sensor data, with the system utilizing gradient optimization and machine learning networks for parameter generation. The system can be applied to space-rich 3D systems like building control systems, enabling the implementation of proposed scenarios based on the digital twin's analysis of sensor data from climate systems in large buildings.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
