Siemens had ten patents in edge computing during Q2 2024. Siemens AG filed patents in Q2 2024 for methods and apparatus related to TSN application containers dynamically requesting TSN streams, generating training data for ML models to control gripping devices, automatically tuning digital twins of physical systems using adaptive filtering, and an image processing system for target identification in video streams distributed to edge computing devices. 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 edge computing as a theme in Q2 2024.
Recent Patents
Application: Method and apparatus for configuring an application (Patent ID: US20240179050A1)
The patent filed by Siemens AG addresses the need for application developers to incorporate only essential Time-Sensitive Networking (TSN) software in their container applications without the complete TSN device stacks. The method and apparatus disclosed allow TSN application containers to dynamically request TSN streams from the network by providing topology information from an Edge device, simplifying the process by providing required information and address tuples following installation, rather than during development.
The method involves configuring an application by introducing it in a device through a container, where the device functions as an edge device with a network access point and the container has a container access point. The application is configured using obtained address information, including the network access point address, container access point address, and an address of an industrial automation management entity. The apparatus supports this configuration by requesting and storing information about the device-internal path, determining relevant addresses, and configuring the application for network access, ultimately upgrading it for communication network access via the device's network access point. The apparatus can also transfer configuration information to the application through environment variables or a config file, enhancing the efficiency of the process.
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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.
