{"id":6717,"date":"2023-10-23T17:51:15","date_gmt":"2023-10-23T15:51:15","guid":{"rendered":"https:\/\/www.teslapay.eu\/?p=6717"},"modified":"2023-10-23T17:51:15","modified_gmt":"2023-10-23T15:51:15","slug":"bmw-employs-a-i-into-the-vehicle-production","status":"publish","type":"post","link":"https:\/\/www.teslapay.eu\/lt\/blog\/bmw-employs-a-i-into-the-vehicle-production\/","title":{"rendered":"BMW prad\u0117jo naudoti dirbtin\u012f intelekt\u0105 automobili\u0173 gamyboje"},"content":{"rendered":"<p>BMW neseniai pateko \u012f antra\u0161tes kaip viena i\u0161 pirm\u0173j\u0173 gamybos \u012fmoni\u0173, naudojan\u010di\u0173 dirbtin\u012f intelekt\u0105 transporto priemoni\u0173 gamyboje. Per pastaruosius kelerius metus BMW atnaujino savo Spartanburgo gamykl\u0105 Piet\u0173 Karolinoje, JAV, nauj\u0173 dirbtinio intelekto galimybi\u0173 integravimui. Spartanburgo gamyklos metinis gamybos paj\u0117gumas siekia apie 450 000 transporto priemoni\u0173 ir auga kasmet.<\/p>\n<p>\u012emon\u0117 sta\u010dia galva neria \u012f AI galimybi\u0173 pritaikym\u0105, ie\u0161kodama nauj\u0173 b\u016bd\u0173 integruoti technologij\u0105 \u012f gamybos proces\u0105. Vienas i\u0161 kompanijos sukurt\u0173 AI pritaikymo b\u016bd\u0173 yra k\u0117bulo apdirbimo procesas \u2013 smeigi\u0173 privirinimas prie automobili\u0173 r\u0117m\u0173, taip pat proceso steb\u0117jimas ir valdymas. Tai procesas, kur\u012f atliko ir atlieka robotai, bet vald\u0117 \u017emon\u0117s, o dabar visi\u0161kai kontroliuoja dirbtinis intelektas.<\/p>\n<p>\u0160is procesas apima kokyb\u0117s kontrol\u0119 ir nurodym\u0105 gamybos robotams atlikti pataisymus, jei randama koki\u0173 nors tr\u016bkum\u0173. Taip pa\u0161alinamas bet koks \u017emogaus \u012fsiki\u0161imas \u012f proces\u0105. Bendrov\u0117s teigimu, tai padidina efektyvum\u0105 ir ilgainiui taupo i\u0161laidas.<\/p>\n<p>BMW grup\u0117s vadybininkas Curtisas Tingle&#8217;as teigia, kad \u0161is vienintelis gamybos proceso atnaujinimas kasmet sutaupo apie 1 mln. Doleri\u0173. \u0160i technologija sukurta Spartanburgo gamykloje ir \u0161iuo metu yra patento patvirtinimo procese.<\/p>\n<p>Ta\u010diau tai n\u0117ra vienintelis AI naudojimo Spartanburgo gamykloje pavyzdys. AI taip pat naudojamas kokyb\u0117s kontrolei \u012fvairiuose surinkimo etapuose. Gamykloje yra 26 kameros, kurios daro nuotraukas, kurios v\u0117liau pereina AI programin\u0117s \u012frangos kokyb\u0117s kontrol\u0117s proces\u0105, o jei aptinkama koki\u0173 nors problem\u0173, jos pa\u017eymimos, kad \u017emon\u0117s gal\u0117t\u0173 jas patikrinti ir jei reikia &#8211; i\u0161spr\u0119sti.<\/p>\n<p>Svarbu pamin\u0117ti, kad dirbtinio intelekto panaudojimo tikslas n\u0117ra pa\u0161alinti \u017emones i\u0161 gamybos proceso, o pad\u0117ti padidinti gamybos na\u0161um\u0105. Iki \u0161iol tiesiog nebuvo \u012fmanoma rankiniu b\u016bdu patikrinti tiek transporto priemoni\u0173, kiek dabar, naudojant AI.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>BMW neseniai pateko \u012f antra\u0161tes kaip viena i\u0161 pirm\u0173j\u0173 gamybos \u012fmoni\u0173, naudojan\u010di\u0173 dirbtin\u012f intelekt\u0105 transporto priemoni\u0173 gamyboje. Per pastaruosius kelerius metus BMW atnaujino savo Spartanburgo gamykl\u0105 Piet\u0173 Karolinoje, JAV, nauj\u0173 dirbtinio intelekto galimybi\u0173 integravimui. Spartanburgo gamyklos metinis gamybos paj\u0117gumas siekia apie 450 000 transporto priemoni\u0173 ir auga kasmet. \u012emon\u0117 sta\u010dia galva neria \u012f AI galimybi\u0173 [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":6783,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[4],"tags":[],"class_list":["post-6717","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/posts\/6717"}],"collection":[{"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/comments?post=6717"}],"version-history":[{"count":2,"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/posts\/6717\/revisions"}],"predecessor-version":[{"id":6719,"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/posts\/6717\/revisions\/6719"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/media\/6783"}],"wp:attachment":[{"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/media?parent=6717"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/categories?post=6717"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.teslapay.eu\/lt\/wp-json\/wp\/v2\/tags?post=6717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}