{"id":2977,"date":"2024-10-09T10:42:42","date_gmt":"2024-10-09T08:42:42","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/solution\/data-enhanced-products\/"},"modified":"2025-10-16T09:27:01","modified_gmt":"2025-10-16T07:27:01","slug":"data-enhanced-products","status":"publish","type":"solution","link":"https:\/\/www.mosaicfactor.com\/es\/solution\/data-enhanced-products\/","title":{"rendered":"Data Enhanced Products"},"content":{"rendered":"

[et_pb_section fb_built=\u00bb1″ custom_padding_last_edited=\u00bbon|tablet\u00bb admin_label=\u00bbsection\u00bb _builder_version=\u00bb4.27.2″ custom_padding_tablet=\u00bb0px||0px||true|false\u00bb custom_padding_phone=\u00bb0px||0px||true|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_row admin_label=\u00bbrow\u00bb _builder_version=\u00bb4.27.2″ background_size=\u00bbinitial\u00bb background_position=\u00bbtop_left\u00bb background_repeat=\u00bbrepeat\u00bb width=\u00bb100%\u00bb custom_padding=\u00bb0px||||false|false\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_column type=\u00bb4_4″ _builder_version=\u00bb4.16″ custom_padding=\u00bb|||\u00bb global_colors_info=\u00bb{}\u00bb custom_padding__hover=\u00bb|||\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_text _builder_version=\u00bb4.27.2″ _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

A trav\u00e9s de diferentes fuentes de datos<\/em> (es decir, pruebas f\u00edsicas) y modelos de ML<\/em> y, por lo general, en combinaci\u00f3n con nuestras soluciones de gemelos digitales<\/a><\/strong>, nuestra soluci\u00f3n de mejora de datos puede aprender, predecir y simular resultados para proporcionar configuraciones autom\u00e1ticas de productos <\/em> que resulten en una mejora de productos y componentes durante el proceso de desarrollo.<\/p>\n

Reduce el n\u00famero de pruebas en las diferentes fases del ciclo de vida del producto (dise\u00f1o, desarrollo, validaci\u00f3n), reduciendo tanto los costes como el time to market.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2″ _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb header_3_font=\u00bb|||on|||||\u00bb header_3_font_size=\u00bb28px\u00bb header_3_line_height=\u00bb1.2em\u00bb custom_margin=\u00bb||1em||false|false\u00bb custom_margin_tablet=\u00bb||0em||false|false\u00bb custom_margin_phone=\u00bb||0em||false|false\u00bb custom_margin_last_edited=\u00bbon|tablet\u00bb header_3_font_size_tablet=\u00bb28px\u00bb header_3_font_size_phone=\u00bb20px\u00bb header_3_font_size_last_edited=\u00bbon|phone\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

Beneficios<\/h3>\n

[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2″ _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb custom_margin=\u00bb||0px||false|false\u00bb custom_padding=\u00bb||0px||false|false\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

    \n
  • \n
      \n
    • Reducir el tiempo de comercializaci\u00f3n del producto<\/strong><\/li>\n
    • Minimizar los costes de hardware<\/strong><\/li>\n
    • Reducci\u00f3n del consumo de energ\u00eda<\/strong><\/li>\n
    • Mejoras espec\u00edficas de la industria<\/strong>. Por ejemplo, en proyectos de automoci\u00f3n podemos alcanzar:\n
        \n
      • Resiliencia del veh\u00edculo <\/strong> (seguridad, ciberseguridad)<\/li>\n
      • Mejorar la experiencia del conductor<\/strong>: mayor comodidad de los pasajeros a trav\u00e9s de la mejora de los sistemas (como el aire acondicionado), que tambi\u00e9n pueden mejorar la eficiencia energ\u00e9tica del veh\u00edculo.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

        [\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2″ _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb header_3_font=\u00bb|||on|||||\u00bb header_3_font_size=\u00bb28px\u00bb header_3_line_height=\u00bb1.2em\u00bb custom_margin=\u00bb||1em||false|false\u00bb custom_margin_tablet=\u00bb||0em||false|false\u00bb custom_margin_phone=\u00bb||0em||false|false\u00bb custom_margin_last_edited=\u00bbon|tablet\u00bb header_3_font_size_tablet=\u00bb28px\u00bb header_3_font_size_phone=\u00bb20px\u00bb header_3_font_size_last_edited=\u00bbon|phone\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

        Casos de uso<\/h3>\n

        [\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2″ _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

        Tendemos a aplicar esta soluci\u00f3n para las industrias de Automoci\u00f3n y Transporte para mejorar la eficiencia de los veh\u00edculos o de un componente espec\u00edfico. Sin embargo, esto podr\u00eda resultar adecuado para transformar y proporcionar productos mejorados e innovadores a otras industrias tambi\u00e9n.<\/p>\n

        Ejemplos de productos en los que hemos aplicado soluciones de mejora de datos:<\/p>\n

        [\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2″ _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

          \n
        • \n
            \n
          • Sistema de bater\u00edas o sistema de gesti\u00f3n t\u00e9rmica<\/strong> para veh\u00edculos el\u00e9ctricos (VE).<\/li>\n
          • Sistemas avanzados de asistencia al conductor <\/strong> (ADAS) para veh\u00edculos aut\u00f3nomos (AV) y veh\u00edculos conectados y aut\u00f3nomos (CAV).<\/li>\n
          • Calibraci\u00f3n automatizada <\/strong> del motor de los veh\u00edculos.<\/li>\n
          • Datos de los sistemas EV, AV y CAV que combinamos con un modelo preciso de ML y basado en la f\u00edsica<\/strong>. Por ejemplo, modelos f\u00edsicos de un componente como las bater\u00edas (con sistemas f\u00edsico-qu\u00edmicos internos).<\/li>\n
          • Simulaci\u00f3n de tests. <\/strong> \n
              \n
            • Aumentar la ocurrencia de eventos espec\u00edficos que son particularmente significativos para fines de testeo para mostrar escenarios espec\u00edficos con datos artificiales para facilitar y optimizar el desarrollo de productos.<\/li>\n
            • Extraer las caracter\u00edsticas de un evento que ocurre en un \u00e1rea diferente y recrear un evento similar, cuando sea necesario.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

              [\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2″ _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb header_3_font=\u00bb|||on|||||\u00bb header_3_font_size=\u00bb28px\u00bb header_3_line_height=\u00bb1.2em\u00bb custom_margin=\u00bb||1em||false|false\u00bb custom_margin_tablet=\u00bb||0em||false|false\u00bb custom_margin_phone=\u00bb||0em||false|false\u00bb custom_margin_last_edited=\u00bbon|tablet\u00bb header_3_font_size_tablet=\u00bb28px\u00bb header_3_font_size_phone=\u00bb20px\u00bb header_3_font_size_last_edited=\u00bbon|phone\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

              \u00bfC\u00f3mo lo hacemos?<\/h3>\n

              [\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2″ _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n

              A trav\u00e9s de un conjunto de herramientas digitales que denominamos Open Framework, ejecutamos un gemelo digital que reproduce el comportamiento de ciertos componentes del producto.<\/p>\n

              Combinamos datos del producto (es decir, en automoci\u00f3n: datos del veh\u00edculo, sus componentes y de otros veh\u00edculos -datos de flota- cuando est\u00e1n disponibles) y junto con modelos de ML, simulamos diferentes escenarios de forma autom\u00e1tica para generar una configuraci\u00f3n mejorada del producto.<\/p>\n

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              A trav\u00e9s de diferentes fuentes de datos (es decir, pruebas f\u00edsicas) y modelos de ML y, por lo general, en combinaci\u00f3n con nuestras soluciones de gemelos digitales, nuestra soluci\u00f3n de mejora de datos puede aprender, predecir y simular resultados para proporcionar configuraciones autom\u00e1ticas de productos que resulten en una mejora de productos y componentes durante el proceso de desarrollo.<\/p>\n","protected":false},"author":1,"featured_media":3690,"parent":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"industry":[],"proyecto":[],"class_list":["post-2977","solution","type-solution","status-publish","format-standard","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nMosaic Factor<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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