Ishishini leemoto lithatha umngeni wokuyila kunye nokwenza isizukulwana esilandelayo sezithuthi zombane, lisebenzisa ubugcisa obusakhulayo ukuguqula iinkqubo zalo zokuvelisa.
Kwiminyaka embalwa edlulileyo, ii-automakers zaqala ukuzihlaziya njengeenkampani zedijithali, kodwa ngoku ziphuma kuxinzelelo lweshishini lobhubhane, isidingo sokugqibezela uhambo lwabo lwedijithali singxamiseke kakhulu kunangaphambili. Iinkqubo zokuvelisa amawele edijithali kunye nokwenza inkqubela phambili kwizithuthi zombane (EVs), iinkonzo zemoto ezixhunyiwe, kwaye ekugqibeleni izithuthi ezizimeleyo, aziyi kuba nokuzikhethela.Abenzi be-automakers baya kwenza izigqibo ezinzima malunga nokwenza uphuhliso lwesoftware yangaphakathi, kwaye abanye baya kuqala. ukuzakhela ezabo iinkqubo zokusebenza ezikhethekileyo kwisithuthi kunye nabaqhubekeki bekhompyutha, okanye ukusebenzisana nabanye abenzi betshiphu ukuphuhlisa isizukulwana esilandelayo senkqubo yokusebenza kunye neetshiphusi eziza kuqhuba - iinkqubo zexesha elizayo zeBhodi yeemoto eziziqhubayo.
Indlela i-intelligence intelligence iguqula ngayo imisebenzi yemveliso Iindawo zokuhlanganisana zezithuthi kunye nemigca yokuvelisa zisebenzisa izicelo zobukrelekrele bokufakelwa (AI) ngeendlela ezahlukeneyo.Ezi ziquka isizukulwana esitsha serobhothi ezikrelekrele, ukusebenzisana kwabantu kunye nerobhothi kunye neendlela zokuqinisekisa umgangatho ophezulu.
Nangona i-AI isetyenziswa ngokubanzi kuyilo lweemoto, ii-automakers zikwangoku zisebenzisa i-AI kunye nokufunda ngomatshini (ML) kwiinkqubo zabo zokuvelisa.IiRobhothi kwiindlela zokuhlanganisana aziyonto intsha kwaye isetyenziswe amashumi eminyaka.Nangona kunjalo, ezi ziirobhothi ezivalelweyo ezisebenza ngokuqinileyo. izithuba ezichaziweyo apho kungekho mntu uvumelekileyo ukuba angenelele ngenxa yezizathu zokhuseleko.Ngobukrelekrele bokwenziwa, ii-cobots ezikrelekrele zinokusebenza kunye nabantu bazo kwindawo yendibano ekwabelwana ngayo. ukulimaza abalingane babo babantu.Iirobhothi zokupeyinta kunye ne-welding, ezixhaswe yi-algorithms yengqondo yokwenziwa, inokwenza okungaphezulu kokulandela iinkqubo ezicwangcisiweyo.AI ibenza bakwazi ukuchonga iziphene okanye ukungahambi kakuhle kwizinto eziphathekayo kunye namacandelo kunye nokulungelelanisa iinkqubo ngokufanelekileyo, okanye bakhuphe izilumkiso zokuqinisekisa umgangatho.
I-AI ikwasetyenziselwa ukwenza imodeli kunye nokulinganisa imigca yemveliso, oomatshini kunye nezixhobo, kunye nokuphucula i-throughput yonke yenkqubo yemveliso.Ubukrelekrele bokwenziwa bukwenza ukuba ukulinganisa ukuveliswa kwemveliso kudlulele ngaphaya kokulinganisa okukodwa kweemeko zenkqubo emiselwe kwangaphambili kwiimpawu eziguquguqukayo ezinokulungelelanisa kunye tshintsha ukulinganisa kwiimeko eziguqukayo, izinto eziphathekayo, kunye neemeko zomatshini. Ezi zifaniso zinokuhlengahlengisa inkqubo yokuvelisa ngexesha langempela.
Ukunyuka kwemveliso eyongezelelweyo kwimveliso yokuvelisa Ukusetyenziswa kwe-3D yokushicilela ukwenza iinxalenye zokuvelisa ngoku kuyinxalenye emiselweyo yokuvelisa i-automotive, kwaye i-industry iyindawo yesibini kuphela kwi-aerospace kunye nokukhusela kwimveliso usebenzisa i-additive production (AM) .Ininzi yeenqwelo eziveliswayo namhlanje zineemoto eziveliswayo namhlanje. iinxalenye ezahlukeneyo ezenziwe nge-AM ezifakwe kwindibano yonke.Oku kubandakanya uluhlu lwamacandelo eemoto, ukusuka kumacandelo enjini, iigiya, ukuhanjiswa, iinqununu ze-brake, izibane, iikiti zomzimba, i-bumpers, iitanki zamafutha, i-grilles kunye ne-fenders, ukumisa izakhiwo. Abanye abenzi beemoto bade bashicilele imizimba epheleleyo yeemoto ezincinci zombane.
Ukuveliswa okongeziweyo kuya kubaluleka ngokukodwa ekunciphiseni ubunzima kwimarike yemoto yombane ekhulayo.Nangona le nto isoloko ilungile ekuphuculeni ukusebenza kakuhle kwamafutha kwiimoto eziqhelekileyo ze-injini yokutsha (ICE), le nkxalabo ibaluleke kakhulu kunanini ngaphambili, njengoko ubunzima obuphantsi buthetha ibhetri elide. ubomi phakathi kweentlawulo.Kwakhona, ubunzima bebhetri ngokwayo buyinto engalunganga ye-EVs, kwaye iibhetri zingongeza ngaphezu kwewaka leeponti zobunzima obongezelelweyo kwi-Midsize EV.Amacandelo e-Automotive angayilwa ngokukodwa kwimveliso yokongeza, okukhokelela kubunzima obulula kunye nokuphucula kakhulu. Ubungakanani bobunzima bokuqina.Ngoku, phantse yonke inxalenye yohlobo ngalunye lwesithuthi lunokwenziwa lula ngokuvelisa okongeziweyo endaweni yokusebenzisa isinyithi.
Amawele eDijithali aphucula iinkqubo zemveliso Ngokusebenzisa amawele edijithali kwimveliso yeemoto, kuyenzeka ukucwangcisa yonke inkqubo yokuvelisa kwindawo ebonakalayo ngokupheleleyo phambi kokuba imigca yemveliso yokwakha ngokomzimba, iinkqubo zokuhambisa kunye neeseli zomsebenzi werobhothi okanye ukufakela i-automation kunye nolawulo.Ngenxa yokwenyani- ixesha lendalo, iwele ledijithali linokulinganisa inkqubo ngelixa lisebenza.Oku kuvumela abavelisi ukuba babeke iliso kwinkqubo, benze imifuziselo ukwenza uhlengahlengiso, kwaye benze utshintsho kwinkqubo.
Ukuphunyezwa kwamawele edijithali kunokwandisa zonke izigaba zenkqubo yokuvelisa.Ukuthathwa kwedatha ye-sensor kuwo wonke amacandelo asebenzayo enkqubo kunika ingxelo efunekayo, yenza uhlalutyo oluqikelelweyo kunye noluqikelelo, kwaye lunciphise ixesha lokuphumla elingacwangciswanga.Ukongezelela, ukugunyaziswa okubonakalayo komgca wemveliso yemoto kusebenza. kunye nenkqubo yamawele edijithali ngokuqinisekisa ukusebenza kolawulo kunye nemisebenzi ezenzekelayo kunye nokubonelela ngesiseko sokusebenza kwenkqubo.
Kucetyiswa ukuba ishishini leemoto lingena kwixesha elitsha, lijongene nomceli mngeni wokuba lihambe liye kwiimveliso ezintsha ngokupheleleyo ezisekelwe ekutshintsheni ngokupheleleyo ukuqhubela phambili. ukunciphisa ukukhutshwa kwekhabhoni kunye nokunciphisa ingxaki yokufudumala kweplanethi.Ishishini leemoto lithatha imingeni yokuyila kunye nokuvelisa isizukulwana esilandelayo sezithuthi zombane, ukujongana nale mingeni ngokwamkela ubukrelekrele bokwenziwa obusakhulayo kunye nobugcisa bokwenza okongeziweyo kunye nokuphumeza amawele edijithali.Okunye imizi-mveliso inokulandela ishishini lezimoto kwaye isebenzise itekhnoloji nenzululwazi ukuqhubela phambili ishishini labo kwinkulungwane yama-21.
Ixesha lokuposa: May-18-2022
