Recently updated on July 2nd, 2024 at 02:25 pm<\/p>","protected":false},"excerpt":{"rendered":"
This work can serve as a paradigm for further applications in the electro-energy system where analysis of images and videos is required.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1347,1324,1409,1379],"targets":[1317],"pubblicazioni_tipologie":[778],"class_list":["post-188837","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-artificial-intelligence","tag-electricity-network-en","tag-isolators","tag-technologies-and-components","targets-research","pubblicazioni_tipologie-paper-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":188404,"post_author":"464","post_date":"2024-06-13 15:10:10","post_date_gmt":"2024-06-13 13:10:10","post_content":"","post_title":"Digitalization of the integrated energy system","post_excerpt":"The project studies the possibilities of using emerging technologies in computing, telecommunications and artificial intelligence and develops methods, tools, algorithms, demonstration platforms and experiments for the digitalization and integration of energy systems.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"digitalization-of-the-integrated-energy-system","to_ping":"","pinged":"","post_modified":"2024-09-05 13:18:31","post_modified_gmt":"2024-09-05 11:18:31","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/digitalization-of-the-integrated-energy-system\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
A very serious issue affecting high-voltage lines and substations is the phenomenon of surface discharge on insulators, which can lead to potential service interruptions. This article presents a new approach to detecting surface discharges based on a deep learning and computer vision framework: the Video Discharge Extractor. The research was conducted in active collaboration with TERNA (the Italian TSO). The framework automatically processes videos collected from the LANPRIS insulator aging and monitoring station camera.<\/p>\n
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The artificial intelligence system, based on an object detection approach using convolutional neural networks, has been enhanced and integrated into an image processing chain to maximize the information extracted from monitoring videos. Such a framework could be a valuable tool for the TSO to process videos for monitoring the aging status of insulators and detecting any surface discharge phenomena. The developed framework is described in detail, showcasing the potential of such an approach in image analysis within the LANPRIS experimentation context and beyond.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Publication","link":"https:\/\/ieeexplore.ieee.org\/document\/9843010"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2022-06-14","autori":"A. Maldarella, E. Bionda, C. Tornelli, G. Pirovano, S. L. Chiarello (RSE S.p.A.), G. Lami ( Elif Lab)","destinazione":"EEE 21st Mediterranean Electrotechnical Conference (MELECON), Palermo, June 12-14, 2022","rif_rse":"22004092"},"satellite_post_url":""},"yoast_head":"\n