Siemens had 31 patents in internet of things during Q3 2023. Siemens AG filed several patents during Q3 2023. One patent is for a safety system in an industrial automation plant that uses sensors to determine the position and orientation of mobile components. Another patent is for a control system that manages certificates for components of a technical plant. There is also a patent for a method of validating transactions for execution in a technical system using a digital simulation. Additionally, there is a patent for a digital data monitor that displays information about digital data or data streams. Lastly, there is a patent for a system that collects and stores manipulation-proof usage data in a distributed ledger network. GlobalData’s report on Siemens gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Siemens grant share with internet of things as a theme is 45% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System and method for adjusting fail-safe monitoring in an industrial automation plant (Patent ID: US20230273603A1)
Siemens AG has filed a patent for a safety system and method for adjusting failsafe monitoring in an industrial automation plant. The system involves using a sensor on a mobile component to determine its position and orientation relative to another component in a failsafe manner. A communicative and failsafe coupling is established between the mobile component and the other component, and the monitoring regions of both components are adjusted upon successful coupling.
The method for adjusting failsafe monitoring in the industrial automation plant includes several steps. First, a first sensor on the mobile component determines the pose of the mobile component relative to the other component in a failsafe manner. This sensor monitors the first monitoring region of the mobile component. A second sensor monitors the second monitoring region of the other component. A communicative and failsafe coupling is set up between the mobile component and the other component. Successful coupling results in the adjustment of the first monitoring region of the mobile component and the second monitoring region of the other component.
Intrusion on the adjusted second monitoring region of either the mobile component or the other component can initiate a safety function for either component. The adjustment of the first monitoring region of the mobile component can be based on the safety region of the other component, either activated up to the coupling or demanded because of the coupling. The adjustment can also be made by monitoring regions previously monitored by the second monitoring region of the other component. Additionally, the adjustment can be made by adjusting or supplementing the monitoring mode or safety function for a portion of the monitoring region that overlaps with the fields monitored by the second monitoring region of the other component.
The second monitoring region of the other component can be adjusted by removing a region from its monitoring based on the position of the mobile component or by deactivating a safety device between the two components. The pose of the mobile component is detected using a contour detection method, which involves detecting the contour of the other component. A standard safety level is applied throughout the process, including when determining the pose, setting up the coupling, adjusting the monitoring region, and initiating a safety state caused by an intrusion.
The safety system includes a safety unit with an interface to a sensor for determining the pose of the mobile component, a coupling interface for establishing the communicative and failsafe coupling, and a monitoring unit for adjusting the monitoring regions. The system also includes at least one sensor and a failsafe controller that performs the various steps of the method. The further component can be another mobile component or a stationary component.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
