Kwiinkampani zolungiselelo, uphuculo lwedijithali lwekhonkco lokubonelela alukho malunga nokuhambisana nentsingiselo. Kudinga ukufumana umnikezeli wesisombululo sokugcina oqonda imboni yezothutho kwaye uneteknoloji yedijithali njengesiseko. Ngokusekwe kwiingenelo zetekhnoloji ye-AI esisiseko, isoftware ehlanganisiweyo kunye nenkqubo yemveliso yehardware, kunye neqela leshishini eliqhutywa ngamavili amabini eliqhutywa yintsha yetekhnoloji kunye namava oshishino, uHebei Woke uye wasebenzisana kwiiprojekthi ezingaphezu kwe-100, ezibandakanya amacandelo amancinci afana namandla amatsha, ukutya. , ezonyango, e-commerce, iimoto, 3C, imveliso ekrelekrele, semiconductors, izihlangu, kunye nokuveliswa koomatshini. Njengomboneleli wesizukulwana esitsha weemveliso ze-smart logistics kunye nezisombululo, i-Hebei Woke Robotics, esekelwe kwi-AI ye-algorithm yendalo kunye neqonga le-robot yokumisa enye, iyaqhubeka nokudala iimeko ze-benchmark yoshishino, ukubonelela ngokufanelekileyo kunye nezisombululo zokugcina izinto kunye nezixhobo kubathengi abaninzi, ukunceda. amashishini aphathekayo ukuba azenzele kwaye afake kwidijithali oovimba babo kunye neefektri.
Ngokukodwa, malunga nokuhanjiswa kunye nokugcinwa kwezinto, uHebei Woke unethemba lokubonelela ngezisombululo kwiindawo zokugcina iimpahla ngokusebenzisa i-robot kunye ne-automation technologies ukunceda amashishini ukunciphisa iindleko kunye nokwandisa ukusebenza kakuhle. Kwinqanaba lemveliso, i-Hebei Woke okwangoku igxininise kakhulu ekuphuhliseni izisombululo ze-tray eziguquguqukayo - i-HEGERLS ehlakaniphile inkqubo yezithuthi ezine. I-tray ehlakaniphile yenkqubo yezithuthi ezine isoloko ingummeli wezixhobo zokugcina iimpahla ze-Hebei Woke ekukhuthazeni ukuhlanganiswa kwesofthiwe kunye ne-hardware.
Ngokusekwe kuyilo lwe "hardware standardization" kunye ne "software modularization", uHebei Woke uye wadala iingenelo ezintlanu ezikhethekileyo zendlela yemoto yeendlela ezine, "ezincinci, zikhawuleza, zizinzile, zikhuselekile, kunye nokunyamezela ixesha elide". Ukususela kumgangatho we-1m x 1.2m we-tray ukuya kwi-1.35mx 1.35m ubukhulu obukhulu be-tray, inokuxhaswa; Ngokubhekiselele kwisantya sokuhamba, ixesha lokungadluli komthwalo liyi-2.5 imizuzwana kwaye ixesha lokutshintsha elilayishiwe liyi-3.5 imizuzwana; Ukongeza, nayo ine-laser yokuphepha imiqobo ye-6 kwaye ixhotyiswe ngeentlobo ezimbini zeebhetri: ibhetri ye-lithium iron phosphate kunye nebhetri ye-lithium titanate; Ngokubhekiselele kubomi bebhetri, i-HEGERLS imoto yeendlela ezine inamandla ebhetri ye-60Ah, ukusetyenziswa kwamandla kwe-40W, kwaye inokusebenza ngokuqhubekayo kwiiyure ze-8 emva kokuhlawula iyure ye-1. Inokuthi iqwalaselwe kwaye idibaniswe njengoko ifunekayo ukufezekisa ukusebenza okuguquguqukayo kunye nokuguquguqukayo. Ineenzuzo ezizodwa ngokubhekiselele kwireyishini yembuyekezo yotyalo-mali, umjikelo wokuhanjiswa kweenkonzo, i-scalability, kunye nokuguquguquka kwendawo. Kukwakho ubushushu begumbi kunye neenguqulelo ezibandayo zogcino ezikhoyo, kwaye inguqulelo yokugcina ebandayo inokuxhasa amaqondo obushushu asezantsi njenge-minus 25 ℃. Ukongeza, inkqubo ye-HEGERLS yeendlela ezine zemoto inokudityaniswa kunye nezinye izisombululo ezifana ne-AMR, iirobhothi ze-palletizing, kunye neendawo zokusebenzela ze-inventri ezibonakalayo ukuze zihambelane ngokuguquguqukayo kunye nokuhlangabezana neemfuno ze-automation ye-innovative logistics scenarios.
Ukwakha inkqubo yetekhnoloji egcweleyo kunye ne-AI entsha
Okwangoku, itekhnoloji kunye nezicelo ezinxulumeneyo ezimelwe ziimodeli ezinkulu ziye zavusa igagasi elitsha lophuhliso kubukrelekrele bokwenziwa. Imodeli enkulu isalathiso sokumisela, kunye nolwimi, umbono, kunye nolawulo lomatshini njengeyona ndlela ingundoqo ye-multimodal imodeli enkulu, eya kuba yindlela efunekayo ye-AI ukuya kwi-generalization. U-Hebei Woke okwangoku wamkela iimodeli ezinkulu ezijikeleze imilinganiselo emithathu "yeteknoloji, imveliso ejolise kwimveliso, kunye nemeko ejoliswe kuyo", kwaye ityale imali ngokuqinileyo kwaye iqokelela kwicandelo letekhnoloji ye-AI. Ngokusekwe kwinkqubo yangaphambili yophando lwezenzululwazi kolu shishino, uHebei Woke wakhe inkqubo yetekhnoloji egcweleyo egubungela i-algorithms, iinkqubo, kunye nehardware.
Kutshanje, uHebei Woke ebeqokelelene “e-AI EMZIMBENI”, edibanisa itekhnoloji ye-AI kunye nabathwali behardware ngokwakha iindlela ezahlukeneyo zokuthwala irobhothi ezikrelekrele, ukwenza iimveliso ezidityanisiweyo zesoftware, kunye nokuzidibanisa kwiinkqubo zemizi-mveliso efana neshishini, ukuvelisa, kunye nolungiselelo. ukwandisa ixabiso le-AI.
I-software ye-software ye-HEGERLS iphuhliswe ngokuzimeleyo ngu-Hebei Woke, xa isetyenziswe kunye nenkqubo ye-intelligence yendlela yemoto, inokufikelela kwi-intelligence yeqela. Esi sicwangciso sinokukwandisa ukusetyenziswa kwendawo yokugcina impahla. Ukongezelela, ngokusekelwe kwii-SKU ezahlukeneyo kunye namalungiselelo okugcina, i-algorithm iya kucebisa ngokuzenzekelayo iindawo zokugcina ezifanelekileyo xa izinto zifunyenwe, zivumela iimpahla ukuba zigcinwe ngokwemigaqo ethile kunye nokuphepha ukuxinana kwimisebenzi ephumayo kamva, ngaloo ndlela kuphuculwe ukusebenza kakuhle; Xa ushiya indawo yokugcina impahla, i-algorithm iya kuphinda iphakamise indawo yokugcina indawo efanelekileyo, kwaye inike indawo yokugcina ngokufanelekileyo ngokubala izinto ezahlukeneyo ezifana nomgama, umqobo kwimisebenzi, kunye nemiyalelo yokugqibela; Inokuphinda ifezekise ukubonwa kwe-inventri kwaye ijonge ngokulula imeko yayo nayiphi na indawo yokugcina ngokusebenzisa ujongano lwegraphical, ngokuguquguquka okuqinileyo, ukuthembeka okuphezulu, i-scalability eyomeleleyo, kunye nokuguquguquka okuphezulu.
Ukongezelela, inkqubo yokusebenza ye-software ye-HEGERLS ye-intelligent logistics operating system ifezekisa intsebenziswano esebenzayo phakathi kwezixhobo ezininzi, uhlalutyo lweemayini zedatha, kunye nokwenza izigqibo ngokusebenzisa i-isomorphic simulation kunye ne-AI yokucwangcisa ukulungelelanisa ubuchule, kunye nedijithali kunye nobukrelekrele benkqubo yonke yokucwangcisa iprojekthi, ukulinganisa, ukuphunyezwa, kunye nokusebenza.
Ixesha lokuposa: Mar-21-2024