Isitolo Sokupenda Manje Sesingathembela Kubuhlakani Bokwenziwa buka-Dürr

UDürr wethula i-Advanced Analytics, isicelo sokuqala se-AI esilungele imakethe sezitolo zikapende.Ingxenye yemojula yakamuva ochungechungeni lomkhiqizo we-DXQanalyze, lesi sixazululo sihlanganisa ubuchwepheshe bamuva be-IT kanye nolwazi luka-Dürr emkhakheni wobunjiniyela bemishini, sihlonza imithombo yokukhubazeka, sichaza izinhlelo ezingcono kakhulu zokulungisa, silandelela ukuhlobana obekungaziwa ngaphambili futhi sisebenzisa lolu lwazi ukulungisa isimo. i-algorithm ohlelweni usebenzisa isimiso sokuzifundela.

Kungani izingcezu zivame ukubonisa amaphutha afanayo?Kunini okwakamuva lapho i-mixer erobhothini ingashintshwa ngaphandle kokumisa umshini?Ukuba nezimpendulo ezinembile nezinembayo zale mibuzo kubalulekile ekuphumeleleni kwezomnotho esimeme njengoba konke ukonakala noma konke ukunakekelwa okungadingekile okungagwenywa konga imali noma kuthuthukisa ikhwalithi yomkhiqizo.“Ngaphambilini, bezimbalwa kakhulu izixazululo ezibambekayo ebezingasivumela ukuthi sikhombe amaphutha ekhwalithi noma ukwehluleka.Futhi uma bezikhona, ngokuvamile bezisekelwe ekuhloleni okwenziwa ngesandla ngokucophelela kwedatha noma imizamo yokuhlola namaphutha.Le nqubo manje inembe kakhulu futhi isibonga ngokuzenzakalelayo ku-Artificial Intelligence”, kuchaza uGerhard Alonso Garcia, iPhini Likamongameli we-MES & Control Systems kwa-Dürr.
Uchungechunge lomkhiqizo wedijithali lwe-DXQanalyze ka-Dürr, oseluvele lufake amamojula Okutholwa Kwedatha okuthola idatha yokukhiqiza, I-Visual Analytics ukuze uyibone ngeso lengqondo, kanye ne-Streaming Analytics, manje ingathembela esitshalweni esisha se-Advanced Analytics esizifundela sona kanye nohlelo lokuqapha inqubo.

Uhlelo lwe-AI lunenkumbulo yalo
Okukhethekile kwe-Advanced Analytics ukuthi le mojula ihlanganisa idatha enkulu efaka idatha yomlando nokufunda komshini.Lokhu kusho ukuthi uhlelo lokusebenza lwe-AI lokuzifundela lunenkumbulo yalo nokuthi lungasebenzisa ulwazi lwakudala ukuze lubone kokubili ukuhlobana okuyinkimbinkimbi ngenani elikhulu ledatha futhi lubikezele umcimbi wesikhathi esizayo ngezinga eliphezulu lokunemba ngokusekelwe kokwamanje. izimo zomshini.Kunezicelo eziningi zalokhu ezitolo zikapende, kungaba sezingeni lengxenye, inqubo, noma isitshalo.

Ukunakekela okubikezelwayo kunciphisa izikhathi zokwehla kwezitshalo
Uma kuziwa ezingxenyeni, I-Advanced Analytics ihlose ukunciphisa izikhathi zokuphumula ngokulungiswa okubikezelwayo nolwazi lokulungisa, isibonelo ngokubikezela impilo yesevisi esele yomhlanganisi.Uma ingxenye ishintshwa ngaphambi kwesikhathi kakhulu, izindleko zezingxenye eziyisipele ziyakhuphuka futhi ngenxa yalokho izindleko ezijwayelekile zokukhanda zikhuphuke ngokungadingekile.Ngakolunye uhlangothi, uma ishiywe isebenza isikhathi eside, ingabangela izinkinga zekhwalithi phakathi nenqubo yokumboza kanye nokumiswa komshini.I-Advanced Analytics iqala ngokufunda izinkomba zokugqokwa kanye nephethini yesikhashana yokugqokwa kusetshenziswa idatha yerobhothi yamafrikhwensi aphezulu.Njengoba idatha irekhodwa ngokuqhubekayo futhi iqashwe, imojula yokufunda yomshini ibona ngawodwana amathrendi okuguga engxenye efanelekile ngokusekelwe ekusetshenzisweni kwangempela futhi ngale ndlela ibala isikhathi esiphelele sokushintshwa.

Amajika okushisa aqhubekayo alingiswe ukufunda komshini
Izibalo Ezithuthukile zithuthukisa ikhwalithi kuleveli yenqubo ngokuhlonza okudidayo, isibonelo ngokulingisa ijika lokushisa kuhhavini.Kuze kube manje, abakhiqizi babenedatha kuphela enqunywe izinzwa ngesikhathi sokulinganisa.Kodwa-ke, amajika okushisa abaluleke kakhulu ngokwezinga eliphezulu lomzimba wemoto ayahluka kusukela kudala kahhavini, phakathi nezikhawu phakathi kokuhamba kokulinganisa.Lokhu kugqokwa kubangela izimo ze-ambient ezishintshashintshayo, isibonelo ekushubeni kokugeleza komoya.“Kuze kube manje, izinkulungwane zemizimba zikhiqizwa ngaphandle kokwazi amazinga okushisa aqondile umzimba ngamunye oshiselwe kuwo.Ngokusebenzisa umshini wokufunda, imojuli yethu ye-Advanced Analytics ilingisa ukuthi izinga lokushisa lishintsha kanjani ngaphansi kwezimo ezihlukene.Lokhu kunikeza amakhasimende ethu ubufakazi obungapheli bekhwalithi yengxenye ngayinye futhi kuwavumela ukuthi abone okungaqondakali,” kuchaza uGerhard Alonso Garcia.

Izinga eliphezulu lokuqalisa kokuqala linyusa ukusebenza kahle kwezinto zonke
Ngokuqondene nokufakelwa, isofthiwe ye-DXQplant.analytics isetshenziswa ngokuhambisana nemojuli ye-Advanced Analytics ukuze kwandiswe ukusebenza kahle kukonke kwesisetshenziswa.Isixazululo esihlakaniphile somkhiqizi waseJalimane silandelela izinkinga zekhwalithi eziphindelelayo ezinhlotsheni ezithile zamamodeli, imibala ethile noma ezithweni zomzimba ngazinye.Lokhu kuvumela umthengi ukuthi aqonde ukuthi yisiphi isinyathelo senqubo yokukhiqiza esinesibopho sokuchezuka.Isici esinjalo kanye nokuhlobana kwembangela kuzokhuphula izinga lokuqalisa ngokuzayo ngokuvumela ukungenelela kusenesikhathi.

Inhlanganisela phakathi kobunjiniyela bezitshalo nobungcweti bedijithali
Ukuthuthukisa amamodeli wedatha ahambisana ne-AI kuyinqubo eyinkimbinkimbi kakhulu.empeleni, ukukhiqiza umphumela ohlakaniphile ngokufunda komshini, akwanele ukufaka amanani angashiwongo wedatha ku-algorithm "ehlakaniphile".Amasignali afanelekile kufanele aqoqwe, akhethwe ngokucophelela futhi ahlanganiswe nolwazi oluhlelekile olwengeziwe oluvela ekukhiqizeni.U-Dürr ukwazile ukuklama isofthiwe esekela izimo ezihlukene zokusetshenziswa, ehlinzeka ngendawo yesikhathi sokusebenza yemodeli yokufunda yomshini futhi iqale ukuqeqeshwa okuyimodeli.“Ukwenza lesi sixazululo kube inselele yangempela njengoba bekungekho modeli yokufunda yomshini esebenzayo futhi singekho indawo efanelekile yokusebenza ebesingayisebenzisa.Ukuze sikwazi ukusebenzisa i-AI ezingeni lezitshalo, sihlanganise ulwazi lwethu lobunjiniyela bemishini nezitshalo kanye nolochwepheshe bethu Bemboni Yedijithali.Lokhu kwaholela esixazululweni sokuqala sobuhlakani bokwenziwa ezitolo zikapende,” kusho uGerhard Alonso Garcia.

Amakhono nolwazi kuhlanganiswe ukuthuthukisa i-Advanced Analytics
Ithimba lezinhlaka ezahlukene elakhiwe ngososayensi bedatha, ososayensi bamakhompyutha kanye nochwepheshe bezinqubo bathuthukise lesi sixazululo esihlakaniphile.U-Dürr uphinde wangena ebudlelwaneni bokubambisana nabakhiqizi bezimoto abakhulu abambalwa.Ngale ndlela, abathuthukisi babenedatha yokukhiqiza yempilo yangempela kanye nezimo zesayithi le-beta ekukhiqizeni izimo ezihlukene zohlelo lokusebenza.Okokuqala, ama-algorithms aqeqeshwa elabhorethri kusetshenziswa inani elikhulu lamacala okuhlola.Kamuva, ama-algorithms aqhubeka nokufunda endaweni ngesikhathi sokusebenza kwangempela futhi azivumelanisa nemvelo nezimo zokusetshenziswa.Isigaba se-beta sisanda kuqedwa ngempumelelo futhi sabonisa ukuthi mangakanani amandla e-AI enawo.Izinhlelo zokusebenza zokuqala ezisebenzayo zibonisa ukuthi isofthiwe evela ku-Dürr ithuthukisa ukutholakala kwezitshalo kanye nekhwalithi yangaphezulu yemizimba ependiwe.


Isikhathi sokuthumela: Mar-16-2022