Siemens has patented a method for deploying power quality monitoring (PQM) devices. The method involves analyzing historical power data of candidate deployment points to determine optimal PQM device locations based on clustering techniques. 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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According to GlobalData’s company profile on Siemens, Smart factory applications was a key innovation area identified from patents. Siemens's grant share as of April 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Method for deploying power quality monitoring devices
A recently granted patent (Publication Number: US11967820B2) discloses a method and apparatus for deploying power quality monitoring (PQM) devices efficiently. The method involves determining a maximum number of PQM devices and historical power data of candidate deployment points, clustering the historical power data to determine a target number of categories, and deploying PQM devices based on the center of each category in the target number of categories. The historical power data includes current values, voltage values, power values, and temperature values within a predetermined time. Additionally, the method involves selecting candidate deployment points from transformer deployment points located between a power distribution room and a power grid.
Furthermore, the apparatus for deploying PQM devices includes modules for determining the maximum number of PQM devices, clustering historical power data, and selecting deployment points based on category centers. The clustering module determines the target number of categories based on a silhouette coefficient, ensuring efficient deployment of PQM devices. The apparatus also includes a processor and memory storing an application program for executing the deployment process. Overall, the patent aims to streamline the deployment of PQM devices by utilizing historical power data and advanced clustering techniques to optimize the placement of these devices for effective power quality monitoring.
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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.
