{"id":5180,"date":"2024-10-09T10:42:42","date_gmt":"2024-10-09T08:42:42","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/solution\/data-enhanced-products\/"},"modified":"2025-10-14T16:59:30","modified_gmt":"2025-10-14T14:59:30","slug":"data-enhanced-products","status":"publish","type":"solution","link":"https:\/\/www.mosaicfactor.com\/ca\/solution\/data-enhanced-products\/","title":{"rendered":"Data Enhanced Products"},"content":{"rendered":"

[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|tablet” admin_label=”section” _builder_version=”4.27.2″ custom_padding_tablet=”0px||0px||true|false” custom_padding_phone=”0px||0px||true|false” locked=”off” global_colors_info=”{}”][et_pb_row admin_label=”row” _builder_version=”4.27.2″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” global_colors_info=”{}”]<\/p>\n

Mitjan\u00e7ant diferents fonts de dades<\/em> (com ara proves f\u00edsiques) i models de ML<\/em>, i habitualment en combinaci\u00f3 amb les nostres solucions de digital twin<\/a><\/strong>, la nostra soluci\u00f3 de millora de dades pot aprendre, predir i simular resultats per oferir configuracions autom\u00e0tiques de producte<\/em> que permetin la millora de productes i components durant el proc\u00e9s de desenvolupament.<\/p>\n

Aix\u00f2 redueix el nombre de proves en les diferents fases del cicle de vida del producte (disseny, desenvolupament, validaci\u00f3), disminuint tant els costos com el temps de llan\u00e7ament al mercat.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” header_3_font=”|||on|||||” header_3_font_size=”28px” header_3_line_height=”1.2em” custom_margin=”||1em||false|false” custom_margin_tablet=”||0em||false|false” custom_margin_phone=”||0em||false|false” custom_margin_last_edited=”on|tablet” header_3_font_size_tablet=”28px” header_3_font_size_phone=”20px” header_3_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

Beneficis<\/h3>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false” global_colors_info=”{}”]<\/p>\n

    \n
  • \n
      \n
    • Reducci\u00f3 del temps de llan\u00e7ament al mercat del producte<\/strong><\/li>\n
    • Minimitzaci\u00f3 dels costos de maquinari<\/strong><\/li>\n
    • Reducci\u00f3 del consum energ\u00e8tic<\/strong><\/li>\n
    • Millores espec\u00edfiques per sector<\/strong>. Per exemple, en projectes d\u2019automoci\u00f3 es poden assolir:\n
        \n
      • Resili\u00e8ncia del vehicle<\/strong> (seguretat, ciberseguretat)<\/li>\n
      • Millora de l\u2019experi\u00e8ncia del conductor<\/strong>: m\u00e9s confort per als passatgers gr\u00e0cies a la millora de sistemes (com l\u2019aire condicionat), que tamb\u00e9 pot augmentar l\u2019efici\u00e8ncia energ\u00e8tica del vehicle.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

        [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” header_3_font=”|||on|||||” header_3_font_size=”28px” header_3_line_height=”1.2em” custom_margin=”||1em||false|false” custom_margin_tablet=”||0em||false|false” custom_margin_phone=”||0em||false|false” custom_margin_last_edited=”on|tablet” header_3_font_size_tablet=”28px” header_3_font_size_phone=”20px” header_3_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

        Casos d\u2019\u00fas<\/h3>\n

        [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” global_colors_info=”{}”]<\/p>\n

        Tendim a aplicar aquesta soluci\u00f3 a les ind\u00fastries de l\u2019automoci\u00f3 i el transport per millorar l\u2019efici\u00e8ncia dels vehicles o d\u2019un component espec\u00edfic. Tot i aix\u00f2, tamb\u00e9 pot resultar adequada per transformar i oferir productes innovadors millorats en altres sectors.<\/p>\n

        Exemples de productes on hem aplicat solucions de millora de dades:<\/p>\n

        [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” global_colors_info=”{}”]<\/p>\n

          \n
        • \n
            \n
          • Sistema de bateria o sistema de gesti\u00f3 t\u00e8rmica<\/strong> per a vehicles el\u00e8ctrics (EV).<\/li>\n
          • Sistemes avan\u00e7ats d\u2019assist\u00e8ncia al conductor<\/strong> (ADAS) per a vehicles aut\u00f2noms (AV) i vehicles connectats i aut\u00f2noms (CAV).<\/li>\n
          • Calibratge autom\u00e0tic del motor<\/strong> dels vehicles.<\/li>\n
          • Dades de sistemes EV, AV i CAV que combinem amb un model prec\u00eds basat en ML i en f\u00edsica. Per exemple, models f\u00edsics d\u2019un component com les bateries (amb sistemes f\u00edsic-qu\u00edmics interns).<\/li>\n
          • Simulaci\u00f3 de proves<\/strong>.
            \n
              \n
            • Incrementar la ocurr\u00e8ncia d\u2019esdeveniments espec\u00edfics especialment rellevants per a les proves, per mostrar escenaris concrets amb dades artificials que facilitin i optimitzin el desenvolupament del producte.<\/li>\n
            • Extreure les caracter\u00edstiques d\u2019un esdeveniment ocorregut en una altra \u00e0rea i recrear un esdeveniment similar, si \u00e9s necessari.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

              [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” header_3_font=”|||on|||||” header_3_font_size=”28px” header_3_line_height=”1.2em” custom_margin=”||1em||false|false” custom_margin_tablet=”||0em||false|false” custom_margin_phone=”||0em||false|false” custom_margin_last_edited=”on|tablet” header_3_font_size_tablet=”28px” header_3_font_size_phone=”20px” header_3_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

              Com ho fem?<\/h3>\n

              [\/et_pb_text][et_pb_text _builder_version=”4.27.2″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” global_colors_info=”{}”]<\/p>\n

              Mitjan\u00e7ant un conjunt d\u2019eines digitals que anomenem Open Framework<\/strong>, executem un digital twin<\/em> que reprodueix el comportament de determinats components del producte.<\/p>\n

              Combinen dades del producte (per exemple, en automoci\u00f3: dades del vehicle, dels seus components i d\u2019altres vehicles \u2014dades de flota\u2014 quan estan disponibles) i, juntament amb models de ML, simulem autom\u00e0ticament diferents escenaris per generar una configuraci\u00f3 de producte millorada.<\/p>\n

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              Mitjan\u00e7ant diferents fonts de dades (com ara proves f\u00edsiques) i models de ML, i habitualment en combinaci\u00f3 amb les nostres solucions de *digital twin*, la nostra soluci\u00f3 de millora de dades pot aprendre, predir i simular resultats per oferir configuracions autom\u00e0tiques de producte que permetin millorar els productes i components durant el proc\u00e9s de desenvolupament.<\/p>\n","protected":false},"author":1,"featured_media":5190,"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-5180","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, max-video-preview:-1\" \/>\n<link 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