Uma ubuhlakani bokwenziwa buthathwa njengohambo olusuka ku-A ukuya ku-B, isevisi yekhompuyutha yamafu iyisikhumulo sezindiza noma isiteshi sesitimela esinesivinini esikhulu, kanti i-edge computing yitekisi noma ibhayisikili elihlanganyelwe. I-Edge computing iseduze nohlangothi lwabantu, izinto, noma imithombo yedatha. Yamukela inkundla evulekile ehlanganisa isitoreji, ukubala, ukufinyelela kwenethiwekhi, namandla ayisisekelo ohlelo lokusebenza ukuhlinzeka ngamasevisi kubasebenzisi abaseduze. Uma kuqhathaniswa nezinsiza zekhompuyutha zamafu ezisetshenziswe phakathi nendawo, i-edge computing ixazulula izinkinga ezifana nokubambezeleka okude kanye nethrafikhi yokuhlangana okuphezulu, okuhlinzeka ngokusekela okungcono kwesikhathi sangempela kanye nezinsizakalo ezidinga umkhawulokudonsa.
Umlilo we-ChatGPT uqalise igagasi elisha lokuthuthukiswa kwe-AI, ukusheshisa ukucwila kwe-AI ezindaweni eziningi zohlelo lokusebenza njengemboni, ukudayisa, amakhaya ahlakaniphile, amadolobha ahlakaniphile, njll. Inani elikhulu ledatha lidinga ukugcinwa futhi lifakwe ikhompuyutha ekupheleni kwesicelo, futhi ukuthembela efwini kuphela akusakwazi ukuhlangabezana nesidingo sangempela, i-edge computing ithuthukisa ikhilomitha lokugcina le-AI. Ngaphansi kwenqubomgomo kazwelonke yokuthuthukisa umnotho wedijithali ngamandla, i-cloud computing yase-China ingene enkathini yentuthuko ebandakanyayo, isidingo sekhompiyutha esisemaphethelweni sesikhulile, futhi ukuhlanganiswa konqenqema lwamafu kanye nesiphetho sekuyisiqondiso esibalulekile sokuziphendukela kwemvelo esikhathini esizayo.
Imakethe yekhompyutha yase-Edge izokhula ngo-36.1% CAGR eminyakeni emihlanu ezayo
Imboni yekhompyutha esemaphethelweni ingene esigabeni sokuthuthuka kancane kancane, njengoba kufakazelwa ukuhlukahluka kancane kancane kwabahlinzeki bayo besevisi, usayizi wemakethe okhulayo, kanye nokwandiswa okwengeziwe kwezindawo zokufaka izicelo. Mayelana nosayizi wemakethe, idatha evela embikweni wokulandela umkhondo we-IDC ikhombisa ukuthi usayizi wemakethe ophelele wamaseva wekhompyutha onqenqemeni e-China ufinyelele ku-US $ 3.31 billion ngo-2021, futhi usayizi wemakethe uwonke wamaseva ekhompyutha onqenqemeni e-China kulindeleke ukuthi ukhule ngesilinganiso sokukhula saminyaka yonke esingu-22.2% kusukela ngo-2020 kuya ku-2025. 250.9 billion ngo-2027, ne-CAGR ka-36.1% ukusuka ngo-2023 kuya ku-2027.
I-Edge computing eco-industry iyachuma
I-Edge computing njengamanje isesigabeni sokuqala sokuqubuka, futhi imingcele yebhizinisi ochungechungeni lwezimboni ayilula. Kubathengisi ngabanye, kuyadingeka ukucabangela ukuhlanganiswa nezimo zebhizinisi, futhi kuyadingeka ukuba ube nekhono lokuzivumelanisa nezimo zebhizinisi kusukela ezingeni lobuchwepheshe, futhi kuyadingeka ukuqinisekisa ukuthi kukhona izinga eliphezulu lokuhambisana nemishini ye-hardware, kanye nekhono lobunjiniyela bomhlaba wamaphrojekthi.
Uchungechunge lwemboni yekhompiyutha enqenqemeni luhlukaniswe ngabathengisi be-chip, abathengisi be-algorithm, abakhiqizi bemishini yehadiwe, nabahlinzeki bezixazululo. Abathengisi be-chip ngokuvamile bathuthukisa ama-chips e-arithmetic ukusuka ekugcineni kuya konqenqemeni kuya ohlangothini lwamafu, futhi ngaphezu kwama-chips aseceleni, baphinde bathuthukise amakhadi okusheshisa nezinkundla zokuthuthukisa isofthiwe. Abathengisi be-algorithm bathatha ama-algorithms okubona ngekhompyutha njengomongo wokwakha ama-algorithms ajwayelekile noma enziwe ngokwezifiso, futhi kukhona namabhizinisi akha izitolo ezinkulu ze-algorithm noma izinkundla zokuqeqesha neziphusha. Abathengisi bezinto zokusebenza batshala imali ngentshiseko emikhiqizweni yekhompiyutha enqenqemeni, futhi uhlobo lwemikhiqizo yekhompiyutha enqenqemeni luthuthukiswa njalo, kancane kancane lwakha isitaki esigcwele semikhiqizo yekhompyutha enqenqemeni ukusuka ku-chip kuya kuwo wonke umshini. Abahlinzeki bezixazululo bahlinzeka ngesoftware noma isoftware-hardware-integrated solutions ezimbonini ezithile.
Izinhlelo zokusebenza zemboni yekhompuyutha ziyasheshisa
Emkhakheni we-smart city
Ukuhlolwa okuphelele kwezakhiwo zasemadolobheni okwamanje kuvame ukusetshenziswa kumodi yokuhlola mathupha, futhi imodi yokuhlola mathupha inezinkinga zezindleko ezithatha isikhathi esiningi nezidinga abasebenzi, ukuncika kwenqubo kumuntu ngamunye, ukumbozwa okungekuhle kanye nokuvama kokuhlolwa, kanye nokulawulwa kwekhwalithi okungekuhle. Ngesikhathi esifanayo inqubo yokuhlola irekhode inani elikhulu ledatha, kodwa lezi zinsiza zedatha azizange ziguqulwe zibe izimpahla zedatha zokunika amandla ibhizinisi. Ngokusebenzisa ubuchwepheshe be-AI ezimeni zokuhlola amaselula, inkampani idale imoto yokuhlola ehlakaniphile ye-AI yokuphatha emadolobheni, esebenzisa ubuchwepheshe obufana ne-inthanethi Yezinto, i-cloud computing, ama-algorithms e-AI, futhi ephethe izinto zokusebenza ezichwepheshile njengamakhamera anencazelo ephezulu, izibonisi ezisebhodini, kanye nesistimu yokuhlola intelligent ye-AI usizo". Ikhuthaza ukuguqulwa kokubusa kwamadolobha kusukela ekugxileni kwezisebenzi kuye kobuhlakani bemishini, kusukela ekuhluleleni okunamandla ukuya ekuhlaziyweni kwedatha, kanye nokusuka ekuphenduleni kokungenzi lutho kuye ekutholakaleni okusebenzayo.
Emkhakheni wendawo yokwakha ehlakaniphile
Izixazululo zesayithi yokwakha ezihlakaniphile ezisekelwe ku-Edge zisebenzisa ukuhlanganiswa okujulile kobuchwepheshe be-AI emsebenzini wokuqapha ukuphepha kwemboni yezokwakha, ngokubeka indawo yokugcina yokuhlaziya i-AI endaweni yokwakha, ukuqedela ucwaningo oluzimele nokuthuthukiswa kwama-algorithms abonakalayo e-AI asekelwe kubuchwepheshe bokuhlaziya ividiyo, ukutholwa kwesikhathi esigcwele kwezehlakalo okufanele zibonwe (isb. kanye nezinsizakalo zokukhumbuza i-alamu, kanye nokuthatha isinyathelo sokuqala Sokuhlonza izici ezingaphephile, ukugada okuhlakaniphile kwe-AI, ukonga izindleko zabasebenzi, ukuhlangabezana nezidingo zabasebenzi kanye nokulawulwa kokuphepha kwezakhiwo zezindawo zokwakha.
Emkhakheni wezokuthutha ezihlakaniphile
I-Cloud-side-end Architecture isiphenduke ipharadaymu eyisisekelo yokusatshalaliswa kwezicelo embonini yezokuthutha ehlakaniphile, uhlangothi lwamafu olubhekele ukuphathwa okumaphakathi kanye nengxenye yokucubungula idatha, uhlangothi olusemaphethelweni luhlinzeka ikakhulukazi ngohlaziyo lwedatha olusehlangothini olusemaphethelweni kanye nokucutshungulwa kokuthatha izinqumo, kanye nohlangothi lokugcina ikakhulukazi olubhekele ukuqoqwa kwedatha yebhizinisi.
Ezimeni ezithile ezifana nokuxhumana komgwaqo wemoto, ukuphambana kwe-holographic, ukushayela okuzenzakalelayo, nethrafikhi yesitimela, kunenombolo enkulu yamadivayisi ahlukahlukene afinyelelwe, futhi lawa madivayisi adinga ukuphathwa kokufinyelela, ukuphathwa kokuphuma, ukucutshungulwa kwe-alamu, nokusebenza nokulungiswa kokucubungula. I-Edge computing ingahlukanisa futhi inqobe, iguqule enkulu ibe encane, inikeze imisebenzi yokuguqulwa kwephrothokholi ye-cross-layer, ifinyelele ukufinyelela okuhlangene nokuzinzile, kanye nokulawula ngokubambisana kwedatha ehlukahlukene.
Emkhakheni wokukhiqiza izimboni
Isimo Sokuthuthukisa Inqubo Yokukhiqiza: Okwamanje, inani elikhulu lamasistimu okukhiqiza ahlukahlukene anqunyelwe ukungapheleli kwedatha, kanye nokusebenza kahle kwezinto zokusebenza nokunye ukubala kwedatha yenkomba kuwubudlabha uma kuqhathaniswa, okwenza kube nzima ukusetshenziselwa ukwenza kahle. I-Edge computing platform esekelwe kumodeli yolwazi lwemishini ukuze kuzuzwe uhlelo lokukhiqiza lwezinga le-semantic ukuxhumana okuvundlile nokuxhumana mpo, okusekelwe endleleni yokucubungula ukugeleza kwedatha yesikhathi sangempela ukuze kuhlanganiswe futhi kuhlaziywe inani elikhulu ledatha yesikhathi sangempela sensimu, ukuze kuzuzwe umugqa wokukhiqiza osuselwe kumodeli wedatha eminingi yokuhlanganisa ulwazi lomthombo wedatha, ukuhlinzeka ngosekelo lwedatha olunamandla ekuthathweni kwezinqumo ohlelweni lokukhiqiza olungenangqondo.
I-Equipment Predictive Maintenance Scenario: Ukugcinwa kwezinto ezisetshenziswa ezimbonini kuhlukaniswe ngezinhlobo ezintathu: ukunakekelwa kokulungisa, ukugcinwa kokuvimbela, kanye nokugcinwa kwezinto kusengaphambili. Ukugcinwa kokubuyisela esimweni sokugcinwa kwe-ex post facto, ukugcinwa kokuvimbela, kanye nokugcinwa kokubikezela kungokwesikhashana, okokuqala kusekelwe esikhathini, ukusebenza kwemishini, izimo zesayithi, nezinye izici zokunakekelwa okuvamile kwemishini, kakhulu noma ngaphansi ngokusekelwe kokuhlangenwe nakho komuntu, okwedlule ngokuqoqwa kwedatha yezinzwa, ukuqapha kwesikhathi sangempela isimo sokusebenza kwesisetshenziswa, okusekelwe kumodeli yezimboni yokuhlaziywa kwedatha, kanye nokubikezela ngokunembile lapho ukwehluleka kwedatha.
Isimo sokuhlolwa kwekhwalithi yezimboni: inkambu yokuhlola umbono wezimboni iyifomu lokuqala lendabuko elizenzakalelayo lokuhlola (i-AOI) endaweni yokuhlola ikhwalithi, kodwa ukuthuthukiswa kwe-AOI kuze kube manje, ekutholeni amaphutha amaningi nezinye izimo eziyinkimbinkimbi, ngenxa yokukhubazeka kwezinhlobo ezihlukahlukene, ukukhishwa kwesici akuphelele, i-adaptive algorithms, i-adaptive algorithms, umugqa wokukhiqiza awukona ukungahambi kahle. eguquguqukayo, kanye nezinye izici, uhlelo lwe-AOI oluvamile lube nzima ukuhlangabezana nokuthuthukiswa kwezidingo zomugqa wokukhiqiza. Ngakho-ke, inkundla ye-algorithm yokuhlola ikhwalithi yezimboni ye-AI emelwe ukufunda okujulile + ukufunda isampula encane kancane kancane ingena esikhundleni sohlelo lokuhlola okubukwayo oluvamile, futhi inkundla yokuhlola ikhwalithi yezimboni ye-AI idlule ezigabeni ezimbili zama-algorithms wokufunda komshini wakudala kanye nama-algorithms okuhlola ukufunda okujulile.
Isikhathi sokuthumela: Oct-08-2023