Siemens had 14 patents in edge computing during Q1 2024. Siemens AG filed patents in Q1 2024 for a control system using machine learning to predict product weight in injection molding, a building automation network with edge devices fetching container images from a cloud repository, a method for failure classification in surface treatment processes using machine learning on edge devices, and an edge device with configurable redundancy functions for industrial communications networks. These patents focus on improving efficiency and automation in manufacturing processes. 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 grant share with edge computing as a theme is 28% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Control method, control system and computer implemented method for determining a predicted weight value of a product produced by an injection molding device (Patent ID: US20240092004A1)
Siemens AG has filed a patent for a computer-implemented method that involves training a machine learning model to predict the weight value of a product produced by an injection molding device. The method includes recording production parameters, predecessor production parameters, and weight values of previous products, and training the ML model using supervised learning with these parameters. Additionally, the patent describes utilizing sensors, control variables, and weighing apparatus to record and determine the parameters and weight values accurately.
Furthermore, the patent outlines a control method for managing the production process of a product using an injection molding device. This method involves adjusting control variables based on predicted weight values compared to reference weight values, ensuring the production sequence continues efficiently. The control system described in the patent is designed to implement this method in real-time, utilizing edge devices and programmable logic controllers to determine weight values and control variables effectively during the production 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.
