{"id":5156,"date":"2024-10-10T10:58:24","date_gmt":"2024-10-10T08:58:24","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/projects\/synergies\/"},"modified":"2025-10-15T11:14:04","modified_gmt":"2025-10-15T09:14:04","slug":"synergies","status":"publish","type":"proyecto","link":"https:\/\/www.mosaicfactor.com\/ca\/projects\/synergies\/","title":{"rendered":"SYNERGIES"},"content":{"rendered":"

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Model de predicci\u00f3 i manteniment<\/p>\n

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Client<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=”fila-clientes” _builder_version=”4.27.2″ _module_preset=”default” width=”100%” custom_padding=”0em||2em||false|false” custom_css_free_form=”selector .et_pb_module{|| padding:0 1em;|| min-width:12%;||}” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.2″ _module_preset=”default” custom_css_main_element=”display:flex;||align-items:center;||flex-flow:wrap;;” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/12\/european-comission-logo.webp” title_text=”european-comission-logo” url=”https:\/\/synergies-ccam.eu\/” url_new_window=”on” _builder_version=”4.27.2″ _module_preset=”default” width=”200px” max_width=”200px” custom_css_main_element=”max-width:fit-content;” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”row” _builder_version=”4.27.2″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” 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” custom_margin=”||0em||false|false” global_colors_info=”{}”]<\/p>\n

Partners<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=”fila-clientes” _builder_version=”4.27.2″ _module_preset=”default” width=”95%” custom_padding=”0em||0em||true|false” custom_css_free_form=”selector .et_pb_module{|| padding:0 1em;|| min-width:12%;||}” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.2″ _module_preset=”default” custom_css_main_element=”display:flex;||align-items:center;||flex-flow:wrap;;” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/10\/clients-applus-idiada.webp” title_text=”clients-applus-idiada” url=”https:\/\/www.applusidiada.com\/global\/es\/” url_new_window=”on” _builder_version=”4.27.2″ _module_preset=”default” width=”120px” max_width=”120px” custom_css_main_element=”max-width:fit-content;” global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/11\/project-synergies-bmw.webp” 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max_width=”180px” custom_css_main_element=”max-width:fit-content;” global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/11\/project-synergies-fev.webp” title_text=”project-synergies-fev” url=”https:\/\/fev.io\/” url_new_window=”on” _builder_version=”4.27.2″ _module_preset=”default” width=”160px” max_width=”180px” custom_css_main_element=”max-width:fit-content;” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”row” _builder_version=”4.27.2″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”100%” 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” custom_margin=”||1em||false|false” global_colors_info=”{}”]<\/p>\n

El problema<\/h2>\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

Cal garantir la seguretat dels sistemes de CCAM (Connected, Cooperative and Automated Mobility)<\/strong>.<\/p>\n

El principal repte per a la validaci\u00f3 de la seguretat \u00e9s que, segons l\u2019ODD (Operational Design Domain)<\/strong>, cal provar i validar moltes situacions de conducci\u00f3 diferents i escenaris complexos. A m\u00e9s, el sector automobil\u00edstic europeu es regeix per normes estrictes de prova i validaci\u00f3, que imposen obligat\u00f2riament una avaluaci\u00f3 exhaustiva de les possibles situacions a qu\u00e8 s\u2019enfrontar\u00e0 un sistema CCAM (incloent-hi escenaris complexos amb m\u00faltiples actors, riscos, situacions inusuals i condicions exigents).<\/p>\n

No obstant aix\u00f2, la complexitat i la incertesa de l\u2019entorn de conducci\u00f3, aix\u00ed com la complexitat de la pr\u00f2pia tasca de conduir, impliquen que el nombre d\u2019escenaris possibles que pot trobar un Automated Driving System (ADS)<\/strong> \u00e9s pr\u00e0cticament infinit.<\/p>\n

Altres estudis suggereixen que, per provar un sistema CCAM i avaluar la seva seguretat demostrant que \u00e9s un 20% millor que un vehicle condu\u00eft per humans, aquest hauria de rec\u00f3rrer m\u00e9s d\u201911.000 milions de milles. A m\u00e9s, l\u2019Hazard Based Testing (HBT)<\/strong> i els sistemes sociot\u00e8cnics defensen que el nombre de milles recorregudes per si sol no \u00e9s suficient per jutjar la fiabilitat dels sistemes CCAM.<\/p>\n

En canvi, l\u2019aspecte crucial \u00e9s l\u2019abast i la varietat dels escenaris trobats durant les proves. L\u2019\u00e8mfasi s\u2019ha de posar en entendre i identificar \u201ccom pot fallar o comportar-se incorrectament un sistema\u201d i garantir posteriorment que ho faci de manera segura i fiable. La naturalesa dels escenaris \u00e9s fonamental per a l\u2019avaluaci\u00f3 de la seguretat.
Els principals reptes que abordarem a partir de la identificaci\u00f3 d\u2019escenaris s\u00f3n:<\/p>\n

    \n
  1. \n
      \n
    1. Identificar els escenaris \u201cadequats\u201d i \u201crepresentatius\u201d per a l\u2019ODD corresponent.<\/li>\n
    2. Entendre si s\u2019han identificat \u201cprou\u201d escenaris per garantir la seguretat del sistema.<\/li>\n
    3. Considerar la probabilitat d\u2019ocurr\u00e8ncia dels escenaris.<\/li>\n
    4. Definir el risc de seguretat associat a cada escenari i la resposta del vehicle davant d\u2019aquest. Un aspecte clau \u00e9s la definici\u00f3 del \u201cbon comportament\u201d o dels criteris de superaci\u00f3\/fallada del sistema per a un escenari determinat.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\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=”||1em||false|false” global_colors_info=”{}”]<\/p>\n

      La soluci\u00f3<\/h2>\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 l\u2019\u00fas de big data, juntament amb m\u00e9s de 30 socis i aprofitant els coneixements obtinguts en an\u00e0lisis de risc i proves operatives en camp (FOTs) pr\u00e8vies, farem possible una identificaci\u00f3 i implementaci\u00f3 r\u00e0pida al mercat per millorar la seguretat dels sistemes CCAM.<\/p>\n

      A m\u00e9s, l\u2019\u00fas d\u2019eines basades en Artificial Intelligence (AI)<\/strong> ens ajudar\u00e0 a ampliar l\u2019espai de requisits del sistema, fent que el proc\u00e9s sigui m\u00e9s efectiu i eficient. Aix\u00f2 permetr\u00e0 disposar de sistemes CCAM segurs, des de la fase de proves fins al desplegament.<\/p>\n

      La nostra SYNERGIES Platform<\/strong> proporciona als actors europeus els escenaris i les eines necessaris per al desenvolupament, la formaci\u00f3, les proves virtuals i la validaci\u00f3 accelerades i acceptades dels sistemes CCAM, reduint el temps i els costos de desenvolupament, augmentant la seguretat i la fiabilitat, i afavorint una adopci\u00f3 m\u00e9s \u00e0mplia.<\/p>\n

      La nostra contribuci\u00f3 se centra en els requisits de data trustworthiness<\/strong> i en la definici\u00f3 de les m\u00e8triques de confian\u00e7a de les dades d\u2019escenaris<\/strong>. Tamb\u00e9 investiguem per detectar i preveure noves tecnologies, nous escenaris, nous actors i tend\u00e8ncies del mercat.<\/p>\n

      Definirem fulls de ruta d\u2019alt nivell per a cada cas i analitzarem com evolucionen els requisits amb el temps segons cada full de ruta (incloent-hi l\u2019an\u00e0lisi d\u2019impacte i probabilitat per prioritzar els canvis de requisits). A continuaci\u00f3, avaluarem l\u2019aplicabilitat dels futurs requisits tenint en compte les noves tecnologies, les innovacions automotrius i les capacitats de dades i maquinari.<\/p>\n

      En l\u2019avaluaci\u00f3 de la qualitat de les dades, desenvoluparem una metodologia per analitzar tant les dades disponibles com les dades generades sint\u00e8ticament en termes de qualitat i rellev\u00e0ncia pel seu potencial per generar escenaris. Definirem les m\u00e8triques adequades per a cada descriptor de qualitat, juntament amb llindars acceptables, que es determinaran mitjan\u00e7ant recerca estad\u00edstica i experts del domini. Tamb\u00e9 examinarem les mancances i limitacions dels conjunts de dades i proporcionarem feedback al propietari o prove\u00efdor de dades per augmentar-ne la utilitat, precisi\u00f3, correcci\u00f3 i exhaustivitat. Desenvoluparem un inspector de dades basat en AI per avaluar la correcci\u00f3, la completitud, la precisi\u00f3, la consist\u00e8ncia i la puntualitat dels conjunts de dades, validar les an\u00e0lisis i avaluar la import\u00e0ncia de les variables. MOSAIC tamb\u00e9 crear\u00e0 una metodologia o eina per avaluar la representativitat d\u2019un escenari aplicat en altres zones o pa\u00efsos.<\/p>\n

      Pel que fa a la plataforma, contribuirem a la definici\u00f3 de l\u2019estrat\u00e8gia per integrar-hi els components necessaris, participarem en les activitats de prova dels components individuals de la plataforma i col\u00b7laborarem en la implementaci\u00f3 de millores despr\u00e9s de la fase de proves.<\/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” locked=”off” global_colors_info=”{}”]<\/p>\n

      Dades<\/h2>\n

      [\/et_pb_text][et_pb_image src=”https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/11\/synergies.webp” title_text=”synergies” disabled_on=”on|on|on” _builder_version=”4.27.2″ _module_preset=”default” disabled=”on” global_colors_info=”{}”][\/et_pb_image][et_pb_video src=”https:\/\/youtu.be\/h0NX5FoIiy8?si=0-yKftx22GYmwjoW” _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”||2em||false|false” custom_padding=”200px||||false|false” custom_padding_tablet=”200px||||false|false” custom_padding_phone=”200px||||false|false” custom_padding_last_edited=”on|phone” global_colors_info=”{}”][\/et_pb_video][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” custom_margin=”||1em||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n

      Resultats<\/h2>\n

      [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” text_font_size=”18px” text_line_height=”1.6em” locked=”off” global_colors_info=”{}”]<\/p>\n

      El projecte donar\u00e0 com a resultat una plataforma europea orientada a millorar el desenvolupament, la formaci\u00f3, les proves virtuals i la validaci\u00f3 dels sistemes CCAM.<\/p>\n

      La SYNERGIES Platform<\/strong> consta de:<\/p>\n

        \n
      1. Scenario Dataspace<\/strong>: alineat amb l\u2019enfocament europeu sobre l\u2019intercanvi de dades i la competitivitat.<\/li>\n
      2. Marketplace<\/strong>: per garantir l\u2019actualitzaci\u00f3 cont\u00ednua i l\u2019escalabilitat del Dataspace.<\/li>\n<\/ol>\n

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