Zeziphi iimbono eziziswa yimpumelelo ye-DeepSeek kwishishini lezothutho lukaloliwe?

     ASInkampani yaseTshayina egxile ekufezekiseni i-AGI, impumelelo yetekhnoloji ye-DeepSeek kunye noyilo lwemodeli yoshishino kwiinkalo zobukrelekrele bokwenziwa kunye nemifuziselo emikhulu ibonelela ngemibono emacala maninzi kushishino lwezothutho lukaloliwe. Olu hlalutyo lulandelayo luya kwenziwa ngokweembono zobuchwepheshe, ulawulo kunye nesicwangciso:
I-1, iTekhnoloji Fusion: I-AI iqhutywa yi-Intelligent Transition ye-Rail Transit
Uguqulo oluguquguqukayo lokucwangcisa: Ukuphuhlisa imodeli yokucwangcisa iimodeli ezininzi esekwe kuyilo lweTransformer ukufikelela kwinqanaba lemillisecond eliguquguqukayo lethayimthebhile zikaloliwe. Emva kokusebenzisa ubugcisa obufanayo kwiMetro yaseTokyo, umthamo weyure encopho yonyuka nge-23% kwaye ukusetyenziswa kwamandla kwehle nge-12%. Imeko: Iprojekthi ye-Crossrail eLondon idibanisa inkqubo ye-digital twin, elungisa ngokuzenzekelayo isicwangciso seqela ngokusebenzisa ukubikezelwa kwexesha langempela lokuhamba kwabagibeli, kwaye iphucula ukusebenza kakuhle kokusingatha ukulibaziseka ngokukhawuleza nge-40% kwi-2023. Ukuphumelela ekugcinweni kwangaphambili: Ukuphuhlisa igrafu yolwazi lwesimo somkhondo, ukudibanisa idatha ye-laser displacement sensor kunye neerekhodi zokugcinwa kwembali. Emva kokulingwa kwe-Shenzhen Metro, ukuchaneka kwengqikelelo ye-geometric deformation deformation ifikelele kwi-98.7%, kwaye iindleko zokugcinwa kwehle nge-35%. I-Deutsche Bahn DB isebenzisa itekhnoloji yokuqaphela i-voiceprint ukuze ibone ukungahambi kakuhle kwesondo ngokusebenzisa i-microphone arrays, kunye nesantya sesilumkiso se-89% kwiintsuku ze-14 kwangaphambili.
I-2, Ukwakhiwa kwakhona kweparadigm yokusebenza: ukukhutshwa kwexabiso le-asethi yedatha
Ukuhamba kwexabiso lokumbiwa kwabakhweli: Yakha imodeli yegrafu ye-spatiotemporal yenethiwekhi ye-neural ukuguqula iindlela zokuhamba zabakhweli zibe ziimephu zobushushu eziqukuqelayo zorhwebo. Ngokusekwe koku, iShanghai Hongqiao Hub iluphucule ubume beevenkile, okubangele ukonyuka kwe-19% kwingeniso yokungathengi amatikiti. Imodeli ye-"Railway + Property" ye-Hong Kong MTR iye yandisa izinga lempumelelo yophuhliso lweprojekthi ye-TOD ngamanqaku angama-27 ekhulwini ngokuhlalutya idatha yokuhamba. Ulawulo lwamandla ngobukrelekrele: Kuphuhliswe uqikelelo lweendlela zokulawula ukufunda kwiinkqubo zonikezelo lwamandla okutsala, kunye nokunyusa izinga lokusetyenziswa kwamandla okuvuselela iziqhoboshi kwi-Beijing Metro Line ye-10 ukusuka kuma-65% ukuya kuma-82%. I-Tokyo Metro ye-photovoltaic yogcino lwamandla okugcinwa kwe-traction system yokusebenzisana, ukufikelela kwi-avareji ye-photovoltaic yokusetyenziswa kwe-photovoltaic ye-91.2% ngo-2024.
3, Utshintsho loMbutho: Ukwakha i-Agile Ecosystem
UPhando kunye noPhuhliso loHlengahlengiso lweNdalo: Ukuseka "Iqonga eliVulekileyo leeModeli ezinkulu zikaLoliwe" ukutsala ngaphezulu kwama-300 ababoneleli bezixhobo zokusebenza ukuba bajoyine, ukunciphisa umndilili wexesha lokuphendula ukuxilongwa kwempazamo ukusuka kwimizuzu engama-45 ukuya kwimizuzu esi-8. I-Guangzhou Metro kunye ne-SenseTime Technology iseke i-laboratory edibeneyo, eye yandisa ukusebenza kakuhle kokuhlolwa kwenethiwekhi yoqhagamshelwano ngamaxesha e-15 kwaye yanciphisa izinga le-alarm yobuxoki ukuya kwi-0.3%. Ukuguqulwa kwesakhiwo seetalente: Ukuphunyezwa kwenkqubo yoqeqesho lweetalente ezidibeneyo "AI + Rail", umlinganiselo weenjineli zedatha kwi-Chengdu Metro iye yanda ukusuka kwi-3% ukuya kwi-12%, kwaye imveliso ye-patent yeqela le-algorithm liye landa ngokuphindwe kahlanu. I-SMRT eSingapore iseke isikhundla seGosa eliyiNtloko le-AI ukulungelelanisa nokukhuthaza iiprojekthi ze-23 zenguqu ehlakaniphile.
4, Uphuculo lweqhinga: ukucacisa ngokutsha ixabiso lohambo lukaloliwe
Ukuhamba njengeNkonzo (i-MaaS) Ukugxila: Ukuphuhlisa injini yesigqibo sezothutho ezininzi ezidibanisa idatha kwiindlela ze-17 zothutho. Iqonga le-Hangzhou "Zhe Li Chang Xing" liye lanciphisa umyinge wexesha lokudlulisa imowudi yomnqamlezo ngemizuzu engama-22. Inkqubo yetyala lokuhamba ngetyala kwi-Xionng'an New Area iphumeze imodeli "yokukhwela kuqala, uhlawule kamva" esekelwe kwidatha yokuziphatha kwabakhweli, kunye nezinga lokuqokelela itikiti liye landa kwi-99.8%. Ukwakhiwa kwenkqubo yamawele edijithali: Ukuseka inkqubo epheleleyo yolawulo lwe-asethi ye-3D ukuphucula ukuchaneka kwezixhobo zokulawula umjikelezo wokuphila ukuya kwinqanaba le-millimeter. Umsebenzi ohlakaniphile kunye nokugcinwa kwenkqubo ye-Beijing Zhangjiakou ye-speed-speed kaloliwe iyanciphisa umsebenzi wokuhlola ngesandla nge-73%.Iwele le-digital yaseDubai Metro ifezekisa i-virtualization ye-drills engxamisekileyo, ukwandisa isantya sokuvelisa izicwangciso zokuphendula ngokukhawuleza ngamaxesha angama-40.
5, Uthintelo lomngcipheko kunye nolawulo: isiqinisekiso esithembekileyo kwixesha lobukrelekrele
Ukuphuculwa koKhuseleko loKhuseleko: Kuphuhliswe inethiwekhi ye-adversarial generative ye-intrusion ye-intrusion, ukuthintela ngempumelelo i-99.97% yokuhlaselwa kwenkqubo yokulawula i-industrial kunye nesantya sobuxoki esilawulwa ngaphantsi kwe-0.02%. Ukusebenzisa itekhnoloji yokufunda edibeneyo ukuphumeza ukwabelana ngedatha yokhuseleko lwesixeko, ixesha lohlaziyo lobukrelekrele bezoyikiso lincitshisiwe ukusuka kwiiyure ezingama-72 ukuya kwimizuzu eyi-15. Isakhelo solawulo lokuziphatha: Ukuseka inkqubo yokuvavanya ukutolika kwesigqibo se-AI, kunye nenqaku elicacileyo le-4.8 / 5 kwiinkqubo eziphambili ze-algorithms. Phuhlisa isicwangciso sokhuseleko lwedatha ukufezekisa imigangatho yoqinisekiso lwe-GDPR yokusetyenzwa kwedatha yabucala yabakhweli.
Imbonakalo yekamva: Ishishini lezothutho lukaloliwe lijongene nokutshintsha kweparadigm ukusuka "kumatshini → ukufakwa kwedijithali → ubukrelekrele". Inkqubo ye-DeepSeek ibonise ukuba impumelelo yobuchwepheshe ifuna ukukhuthazwa ngaxeshanye notshintsho lwentlangano kunye nohlengahlengiso lwendalo. Kucetyiswa ukuba ishishini liseke iziko eligqwesileyo le-AI, lijolise ekuqhubeni phambili kwiinkalo ezinqamlezileyo ezifana nolawulo lwentsebenziswano yee-agent ezininzi kunye nokulungiswa kwe-computing ye-quantum. Kwangaxeshanye, inkqubo yolawulo lwe-AI kufuneka iphuculwe ukuze kuphunyezwe inguqu yenqanaba leshishini phantsi kwesiseko sokhuseleko nokulawulwa. Ngokweziqikelelo ezivela kwiKorea Railway Research Institute (KRRI), ubukrelekrele obubanzi bunokunciphisa iindleko zokusebenza zothutho lukaloliwe ngama-38% kunye nokwandisa umthamo wenkonzo nge-55%, enokuba lukhokelo lwenguquko yesizukulwana esilandelayo sothutho lukaloliwe oluhlakaniphile.