Electricite de France had eight patents in artificial intelligence during Q2 2024. The Electricite de France SA has filed patents for innovative methods in nuclear power plant maintenance. One patent involves using cameras and image recognition algorithms to detect migrating bodies within fuel assemblies, alerting operators if necessary. Another patent describes a method for estimating axial power imbalances in a reactor using machine learning on historic data. A third patent outlines a probabilistic method for determining an operability interval for fasteners in a nuclear power plant assembly, utilizing a combination of geometric distributions, fastener failure probability models, and machine learning to ensure continued safe operation. GlobalData’s report on Electricite de France gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Electricite de France had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Process for aiding the detection of migrating bodies within a fuel assembly (Patent ID: US20240177877A1)
The patent filed by Electricite de France SA describes a process for aiding in the detection of migrating bodies within a fuel assembly of a nuclear power plant, specifically on the anti-debris grid of the lower end piece of the assembly. The process involves using at least one camera controlled towards the assembly, with the recorded video images directed to a man-machine interface for operator viewing. An image recognition algorithm is utilized to detect migrating bodies, and if potential presence is detected, the operator is alerted.
Furthermore, the process includes triggering audible or visual alerts on the screen to indicate the potential location of migrating bodies, as well as generating inspection reports automatically. The video files and detection files are stored and sent to a second operator for validation, with a temporal indication provided in the video file for when migrating bodies were potentially detected. The use of a "convolutional neural network" image recognition software trained on a learning base of migrating body videos is mentioned, with automatic learning steps included for detecting migrating bodies when their absence is validated by operators. The process also involves a third operator for definitive validation of the presence or absence of migrating bodies, enhancing the accuracy and efficiency of detection processes in nuclear power plants.
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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.
