{"id":13010,"date":"2024-10-12T23:49:32","date_gmt":"2024-10-12T20:49:32","guid":{"rendered":"https:\/\/bricswomen.com\/?post_type=projects_map&#038;p=13010"},"modified":"2024-10-12T23:49:32","modified_gmt":"2024-10-12T20:49:32","slug":"vira-ai-based-smart-software-for-recording-and-processing-solar-power-plants-using-drone","status":"publish","type":"projects_map","link":"https:\/\/bricswomen.com\/pt\/projects_map\/vira-ai-based-smart-software-for-recording-and-processing-solar-power-plants-using-drone\/","title":{"rendered":"Vira AI \u2013 Software inteligente baseado em grava\u00e7\u00e3o e processamento de usinas de energia solar usando drones"},"content":{"rendered":"<p>O uso de drones e intelig\u00eancia artificial para solucionar problemas de usinas de energia solar \u00e9 feito de v\u00e1rias maneiras:<\/p>\n<p>1. Imagens t\u00e9rmicas: UAVs tiram imagens infravermelhas de pain\u00e9is solares usando c\u00e2meras t\u00e9rmicas. Essas imagens ajudam a identificar pontos quentes que indicam problemas como diodos de bypass ou fios de circuito aberto.<\/p>\n<p>2. An\u00e1lise de imagens com intelig\u00eancia artificial: A intelig\u00eancia artificial analisa as imagens tiradas por drones para identificar anomalias automaticamente. Este m\u00e9todo ajuda a reduzir o tempo e os custos de inspe\u00e7\u00e3o e \u00e9 mais preciso do que as inspe\u00e7\u00f5es manuais.<\/p>\n<p>3. Marca\u00e7\u00e3o geogr\u00e1fica: As imagens tiradas por drones t\u00eam marca\u00e7\u00f5es geogr\u00e1ficas que ajudam a identificar com precis\u00e3o a localiza\u00e7\u00e3o dos defeitos. Esse recurso permite que as equipes de manuten\u00e7\u00e3o acessem as \u00e1reas problem\u00e1ticas de forma r\u00e1pida e precisa.<\/p>\n<p>4. Redu\u00e7\u00e3o do tempo de inspe\u00e7\u00e3o: A inspe\u00e7\u00e3o de uma grande usina solar usando drones pode ser feita em poucas horas, enquanto a inspe\u00e7\u00e3o manual pode levar v\u00e1rios dias<\/p>","protected":false},"author":461,"featured_media":0,"template":"","map_country":[125],"map_directions":[139],"class_list":["post-13010","projects_map","type-projects_map","status-publish","hentry","map_country-iran","map_directions-ai"],"acf":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false,"project-slider":false},"uagb_author_info":{"display_name":"Azam Karami","author_link":"https:\/\/bricswomen.com\/pt\/account\/?user=461"},"uagb_comment_info":0,"uagb_excerpt":"Using drones and artificial intelligence to troubleshoot solar power plants is done in several ways: 1. Thermal imaging: UAVs take infrared images of solar panels using thermal cameras. These images help to identify hot spots that indicate problems such as bypass diodes or open circuit threads. 2. Analysis of images with artificial intelligence: Artificial intelligence&hellip;","_links":{"self":[{"href":"https:\/\/bricswomen.com\/pt\/wp-json\/wp\/v2\/projects_map\/13010","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bricswomen.com\/pt\/wp-json\/wp\/v2\/projects_map"}],"about":[{"href":"https:\/\/bricswomen.com\/pt\/wp-json\/wp\/v2\/types\/projects_map"}],"author":[{"embeddable":true,"href":"https:\/\/bricswomen.com\/pt\/wp-json\/wp\/v2\/users\/461"}],"wp:attachment":[{"href":"https:\/\/bricswomen.com\/pt\/wp-json\/wp\/v2\/media?parent=13010"}],"wp:term":[{"taxonomy":"map_country","embeddable":true,"href":"https:\/\/bricswomen.com\/pt\/wp-json\/wp\/v2\/map_country?post=13010"},{"taxonomy":"map_directions","embeddable":true,"href":"https:\/\/bricswomen.com\/pt\/wp-json\/wp\/v2\/map_directions?post=13010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}