Ukuba i-artificial intelligence ithathwa njengohambo olusuka ku-A ukuya ku-B, inkonzo ye-cloud computing sisikhululo seenqwelo-moya okanye isikhululo sikaloliwe esinesantya esiphezulu, kwaye i-edge computing yiteksi okanye ibhayisekile ekwabelwana ngayo. I-Edge computing isondele kwicala labantu, izinto, okanye imithombo yedatha. Yamkela iqonga elivulekileyo elidibanisa ukugcinwa, ukubala, ukufikelela kwinethiwekhi, kunye nezakhono eziphambili zesicelo ukubonelela ngeenkonzo kubasebenzisi kwindawo ekufutshane. Xa kuthelekiswa neenkonzo ze-computing zefu ezibekwe kwindawo ephakathi, i-edge computing isombulula iingxaki ezifana ne-latency ende kunye ne-high convergence traffic, ukubonelela ngenkxaso engcono kwixesha langempela kunye neenkonzo ezifuna i-bandwidth.
Umlilo we-ChatGPT umise i-wave entsha yophuhliso lwe-AI, ukukhawuleza ukucwiliswa kwe-AI kwiindawo ezininzi zesicelo ezifana nezoshishino, ukuthengisa, amakhaya ahlakaniphile, izixeko ezihlakaniphile, njl njl. Inani elikhulu ledatha kufuneka ligcinwe kwaye libalwe ekupheleni kwesicelo, kwaye ukuthembela kwifu kuphela akusenako ukuhlangabezana nemfuno yangempela, i-edge computing iphucula i-kilometer yokugqibela ye-AI yesicelo. Phantsi komgaqo-nkqubo wesizwe wokuphuhlisa ngamandla uqoqosho lwedijithali, i-computing yelifu yaseTshayina ingene kwixesha lophuhliso olubandakanyayo, imfuno yekhompyuter esekupheleni iye yanda, kwaye ukudityaniswa komphetho welifu kunye nokuphela kube lukhokelo olubalulekileyo kwikamva.
Imakethi yekhompyuter ye-Edge iza kukhula nge-36.1% CAGR kule minyaka mihlanu izayo
Ishishini le-edge computing lingene kwinqanaba lophuhliso oluzinzileyo, njengoko kungqinwa kukwahlukahlukana ngokuthe ngcembe kwababoneleli beenkonzo balo, ukwanda kobungakanani bemarike, kunye nokwandiswa ngakumbi kweendawo zezicelo. Ngokuphathelele ubungakanani bemarike, idatha evela kwingxelo yokulandela ye-IDC ibonisa ukuba ubungakanani bemalike ngokubanzi yeeseva zekhompyuter e-China yafikelela kwi-US$3.31 yebhiliyoni ngo-2021, kwaye ubungakanani bemarike bubonke beeseva zekhompyuter e-China kulindeleke ukuba bukhule ngesantya sokukhula sonyaka esiyi-22.2% ukusuka ku-2020 ukuya ku-2025. I-250.9 yeebhiliyoni ngo-2027, kunye ne-CAGR ye-36.1% ukusuka ngo-2023 ukuya ku-2027.
IEdge computing eco-industry iyaphumelela
I-Edge computing okwangoku ikwinqanaba lokuqala loqhambuko, kwaye imida yeshishini kumxokelelwano woshishino ayintsonkothanga. Kubathengisi ngabanye, kuyimfuneko ukuqwalasela ukudibanisa kunye neemeko zoshishino, kwaye kukwafuneka ukuba ube nokukwazi ukulungelelanisa utshintsho kwiimeko zoshishino ukusuka kwinqanaba lobugcisa, kwaye kuyafuneka ukuba kuqinisekiswe ukuba kukho iqondo eliphezulu lokuhambelana nezixhobo ze-hardware, kunye nekhono lobunjineli kwiiprojekthi zomhlaba.
Umda wekhonkco loshishino lwekhompuyutha lohlulwe lwaba ngabathengisi betshiphu, abathengisi be-algorithm, abavelisi bezixhobo zehardware, kunye nababoneleli besisombululo. Abathengisi beChip ikakhulu baphuhlisa iitshiphusi ze-arithmetic ukusuka kwicala ukuya kumda ukuya kwicala lelifu, kwaye ukongeza kwi-edge-side chips, baphuhlisa amakhadi okukhawulezisa kunye nenkxaso yamaqonga ophuhliso lwesoftware. Abathengisi be-algorithm bathatha ii-algorithms zombono wekhompyuter njengondoqo wokwakha ii-algorithms eziqhelekileyo okanye ezilungiselelweyo, kwaye kukho amashishini akha ii-algorithms ze-algorithms okanye uqeqesho kunye namaqonga otyhala. Abathengisi bezixhobo batyala imali kwiimveliso zekhompyuter, kwaye imo yeemveliso zekhompyuter zihlala zityetyiswa, ngokuthe ngcembe zenza isitaki esipheleleyo seemveliso zekhompyuter ukusuka kwitshiphu ukuya kumatshini wonke. Ababoneleli besisombululo babonelela ngesoftware okanye izisombululo ezidityanisiweyo zesoftware kumashishini athile.
Usetyenziso lweshishini lwekhompuyutha luyakhawuleza
Kwintsimi yesixeko esihlakaniphile
Uhlolo olubanzi lwepropathi yasezidolophini ngoku ngokuqhelekileyo lusetyenziswa ngendlela yokuhlola ngesandla, kwaye imowudi yokuhlola ngesandla ineengxaki zokuchitha ixesha elininzi kunye neendleko eziphezulu zabasebenzi, ukuxhomekeka kwenkqubo kumntu ngamnye, ukhuseleko olulambathayo kunye nokuhlolwa rhoqo, kunye nokulawulwa komgangatho ophantsi. Ngexesha elifanayo inkqubo yokuhlola irekhode inani elikhulu ledatha, kodwa ezi zixhobo zedatha azizange zitshintshwe zibe yimpahla yedatha yokuxhobisa ishishini. Ngokusebenzisa itekhnoloji ye-AI kwiimeko zokuhlola eziphathwayo, ishishini lenze isithuthi sokuhlola esikrelekrele se-AI solawulo lwasezidolophini, esamkela itekhnoloji efana ne-Intanethi yeZinto, i-computing yamafu, i-algorithms ye-AI, kwaye iphethe izixhobo zobuchwephesha ezinjengeekhamera ezinenkcazo ephezulu, imiboniso esebhodini, kunye ne-AI yenkqubo yokuhlola i-intelligent system uncedo". Ikhuthaza inguqu yolawulo lwasezidolophini ukusuka kubukrelekrele babasebenzi ukuya kubukrelekrele boomatshini, ukusuka kubungqina obunamandla ukuya kuhlalutyo lwedatha, kunye nokusuka kwimpendulo engenzi nto ukuya ekubhaqweni okusebenzayo.
Kwintsimi yesiza sokwakha esikrelekrele
Izisombululo ze-Edge ezisekelwe kwi-computing ye-computing ye-intanethi zisebenzisa ukuhlanganiswa okunzulu kobuchwepheshe be-AI kumsebenzi wokubeka esweni ukhuseleko loshishino lokwakha, ngokubeka i-terminal ye-AI yokuhlalutya kwindawo yokwakha, ukugqiba uphando oluzimeleyo kunye nophuhliso lwe-algorithms ebonakalayo ye-AI esekelwe kwitekhnoloji yohlalutyo lwevidiyo ehlakaniphile, ukufumanisa ixesha elipheleleyo leziganeko eziza kubhaqwa (umzekelo, ukufumanisa ukuba ukhuseleko lokusingqongileyo okanye ukubonelela ngokhuseleko lwe-dent okanye hayi), ukubonelela ngeendawo zokhuseleko kunye nokhuseleko. kunye neenkonzo zokukhumbuza i-alam, kunye nokuthatha inyathelo lokuqala lokuchonga izinto ezingakhuselekanga, ukugada okukrelekrele kwe-AI, ukonga iindleko zabasebenzi, ukuhlangabezana neemfuno zolawulo lwabasebenzi kunye nokhuseleko lwepropati kwiindawo zokwakha.
Kwintsimi yothutho olukrelekrele
I-design-side-end architecture iye yaba yi-paradigm esisiseko yokuthunyelwa kwezicelo kwishishini lezothutho ezihlakaniphile, kunye necala lelifu elijongene nolawulo oluphakathi kunye nenxalenye yokucutshungulwa kwedatha, icala lomda libonelela ngokugqithiseleyo uhlalutyo lwedatha yecala kunye ne-computing yokwenza izigqibo, kunye necala lokugqibela elijongene noxanduva lokuqokelela idatha yeshishini.
Kwiimeko ezithile ezifana nokulungelelaniswa kwemoto-indlela, ukunqumla kwe-holographic, ukuqhuba ngokuzenzekelayo, kunye nokuhamba ngomzila kaloliwe, kukho inani elikhulu lezixhobo ezingafaniyo ezifunyenweyo, kwaye ezi zixhobo zifuna ulawulo lokufikelela, ulawulo lokuphuma, ukusetyenzwa kwe-alamu, kunye nokusebenza kunye nokulungiswa kokugcinwa. I-Edge computing inokwahlula kwaye yoyise, ijike ibe nkulu ibe yincinci, ibonelele ngemisebenzi yokuguqulwa kweprotocol enqamlezayo, ukufikelela ngokudibeneyo kunye nokufikelela okuzinzileyo, kunye nolawulo olusebenzisanayo lwedatha eyahlukileyo.
Kwintsimi yokwenziwa kwemizi-mveliso
Imeko yokuPhuculwa kweNkqubo yeMveliso: Okwangoku, inani elikhulu leenkqubo zokuvelisa ezidityanisiweyo zisikelwe umda kukungaphelelanga kwedatha, kunye nokusebenza kakuhle kwezixhobo kunye nezinye izibalo zedatha yesalathiso zihamba kancinci, zisenza kube nzima ukusebenzisela ukusebenza kakuhle. Edge computing iqonga esekelwe kwisixhobo ulwazi imodeli ukuphumeza inkqubo yokuvelisa inqanaba semantic unxibelelwano oluthe tye kunye nonxibelelwano nkqo, ngokusekwe kwi-real-time data flow processing indlela yokudibanisa kunye nokuhlalutya inani elikhulu ledatha yexesha lokwenyani lentsimi, ukuphumeza umgca wemveliso esekelwe kwimodeli yolwazi oluninzi lwemithombo yolwazi, ukubonelela ngenkxaso yedatha enamandla yokwenza izigqibo kwinkqubo yokuvelisa i-discrete.
I-Equipment Predictive Maintenance Scenario: Ukugcinwa kwezixhobo zemizi-mveliso kwahlulwe kwaba ziindidi ezintathu: ulungiso olulungisayo, ugcino lothintelo, kunye nokugcinwa kwangaphambili. Ukugcinwa kokubuyiselwa kokubuyisela kwimeko yokugcinwa kwe-ex post facto, ulondolozo lothintelo, kunye nolondolozo oluqikelelwayo lolololongo lwe-ex-ante, eyokuqala isekelwe kwixesha, ukusebenza kwesixhobo, iimeko zesiza, kunye nezinye izinto zokugcinwa rhoqo kwezixhobo, ngaphezulu okanye ngaphantsi ngokusekwe kumava omntu, le yokugqibela ngokuqokelelwa kwedatha yesivamvo, ukujonga ixesha lokwenyani lemeko yokusebenza kwesixhobo, ngokusekwe kwimodeli yeshishini yohlalutyo lwedatha, kwaye yenzeka ngokuchaneka ukuqikelela xa ukusilela kwedatha.
Imeko yokuhlolwa komgangatho weshishini: intsimi yokuhlola umbono weshishini yifom yokuqala yokuhlola ezenzekelayo yemveli (AOI) kwintsimi yokuhlola umgangatho, kodwa uphuhliso lwe-AOI ukuza kuthi ga ngoku, kwiindawo ezininzi zokubhaqa isiphene kunye nezinye iimeko ezintsonkothileyo, ngenxa yeziphene zeentlobo ezahlukeneyo, ukutsalwa kwesici akuphelelanga, ukulungelelanisa algorithms, i-algorithms eguquguqukayo, i-algorithms ehlaziyiweyo, imveliso ye-algorithms engalunganga, bhetyebhetye, kunye nezinye izinto, inkqubo ye-AOI yemveli ibenzima ukuhlangabezana nophuhliso lweemfuno zomgca wemveliso. Ke ngoko, iqonga le-algorithm yokuhlola umgangatho weshishini elimelwe kukufunda okunzulu + isampula encinci yokufunda ngokuthe ngcembe ithatha indawo yeskim sokuhlola okubonwayo, kwaye iqonga lokuhlola umgangatho weshishini le-AI liye ladlula kwizigaba ezibini ze-algorithms yokufunda koomatshini kunye ne-algorithms yokuhlola nzulu yokufunda.
Ixesha lokuposa: Oct-08-2023