Njengoba inani ledatha esinayo likhula, kanjalo nenani lolwazi oluwusizo esingalusebenzisa ukuze senze izinqumo ezibalulekile emhlabeni wangempela. Izifinyezo, amamodeli, kanye nokulingiswa kwamaphoyinti edatha kwazisa lezi zinqumo. Esikhathini se-Big Data, tIsinyathelo esilandelayo esilandelayo kulokhu umqondo wamawele edijithali.
Iwele ledijithali liwumfanekiso obonakalayo wento ethile ephathekayo noma inqubo. Lezi izifaniso ezingabikezela ukuthi into ethile noma isevisi izosebenza kanjani emhlabeni wangempela.
Izimboni ezahlukahlukene seziqalile ukubheka ukusebenzisa amawele edijithali emikhiqizo yazo kanye nezinsizakalo ukwenza zonke izinhlobo zentuthuko.
Ake sibheke umlando wamawele edijithali, nokuthi ahluke kanjani kuzifaniso ezisetshenziswa kakhulu namuhla. Sizophinde sibheke ukuthi amawele edijithali angaziguqula kanjani izimboni ezahlukahlukene, kusukela kwezokunakekelwa kwezempilo, ukuya kwezokukhiqiza noma amadolobha ewonke.
Yini i-Digital Twin?
Umlando
Igama elithi "iwele ledijithali" laqala ukuvela emibhalweni ye-NASA ngo-2010. Iwele ledijithali lachazwa “njengesifaniso esihlanganisiwe se-multi-physic, esikalini esiningi esingaba khona semoto noma isistimu esebenzisa amamodeli atholakalayo angcono kakhulu atholakalayo, ukubuyekezwa kwezinzwa, umlando wemikhumbi. , njll., ukuze silingise impilo yewele layo elindizayo.”
Lobu buchwepheshe kamuva bagqugquzela i-US Air Force, eyaqasha amawele edijithali amafreyimu endiza yendiza yabo ukubikezela ukukhathala nokulimala. Babize lobu buchwepheshe ngokuthi i-Airframe Digital Twin, futhi ihlose ukusebenza njengenzwa yezempilo ebonakalayo kuwo wonke umjikelezo wempilo wendiza ngayinye.
I-Digital Twin vs Amamodeli
Esinye sezici ezibalulekile zewele ledijithali ukuthi iwele kufanele libe nento ehambisanayo emhlabeni wangempela. Iwele ledijithali lingaphezu nje kwepulani noma uhlelo.
Incazelo yesimanje yewele ledijithali ikubona kungcono kakhulu ukuthi imodeli yedijithali nento ebonakalayo iqanjwe ngesikhathi esisodwa. La mawele “akhula” ndawonye njengoba isikhathi sihamba.
Indlela yamawele edijithali yokukhiqiza izobandakanya iwele ledijithali ngisho nangemuva kwesiteji se-prototype. Idatha ebuyisiwe ku-prototype ingase isetshenziselwe ukuthuthukisa iwele ledijithali. Imodeli ethuthukisiwe ingabese ibikezela ukusebenza kwama-prototypes wesikhathi esizayo.
Izimpawu zamawele eDijithali
- Ukuxhumana
Iwele ledijithali lidinga ukuxhumana. Ubudlelwano phakathi kwewele ledijithali nozakwabo wangempela wempilo budinga ukugeleza okuthembekile kwedatha. Ubuchwepheshe obungamawele edijithali bungasebenzisa i-inthanethi Yezinto (IoT) kanye Nokufunda Ngomshini (ML) ukuhlaziya idatha eqhubekayo evela kuzinzwa ezivela emithonjeni eminingi. - Ukwenza ngokwezifiso
Ngenxa yokwenyuka kwamandla ekhompuyutha atholakalayo, manje sesiyakwazi ukubona eduze kwe-homogenization yedatha evela emithonjeni ehlukene. Futhi ngenxa yokuthi yonke idatha edingekayo ithwetshulwa ebhizinisini elilodwa, ingabiwa kalula kakhulu. - Ukuhleleka kabusha
Ubuchwepheshe be-Digital twin busivumela ukuthi sihlele kabusha amasevisi nemikhiqizo ngokusekelwe kumpendulo ngesikhathi sangempela. Ngokusebenzisa i-ML, singaba namawele edijithali ahlakaniphe nakakhulu ekwenzeni izinqumo njengoba kuqoqwa idatha eyengeziwe. - Ukulinganisela
Amasistimu amakhulu, ayinkimbinkimbi athwetshulwe kusetshenziswa ubuchwepheshe bamawele edijithali azuza ekumodemeni komklamo. Ama-DT angenza abakhiqizi bathole ukuthi yiziphi izingxenye zedivayisi ezingasebenzi kahle.
Izicelo ze-Digital Twin
Amawele edijithali angasetshenziswa cishe kunoma iyiphi imboni. Imodeli enamandla kanjalo ingathuthukisa ukuklama, ukukhiqiza, kanye nezigaba zokusebenza zomkhiqizo noma isevisi ethile. Okulandelayo ezinye izibonelo zendlela ubuchwepheshe obungamawele edijithali bungasetshenziswa ngayo emikhakheni ethile.
1. I-Aviation
Ngokusebenzisa amawele edijithali, izinkampani manje zingaba nomkhondo wedijithali wendlela yonke yokuphila yomkhiqizo, kusukela ekuklanyweni kuya ekusebenzeni.
Isibonelo, inkampani ye-aerospace Boeing isebenzisa amawele edijithali ukuklama indiza yabo. Bangasebenzisa ukulingisa kwazo zonke izingxenye zendiza ukuze babikezele ukuthi zingase zehluleke kanjani futhi nini esikhathini esizayo.
Lolu hlobo ubunjiniyela obusekelwe kumodeli isheshisa ucwaningo nentuthuko futhi ivumela uhlelo oludidiyelwe. Izigaba zokuklama, ukukhiqiza kanye nokusebenza manje zisebenza ngokufana futhi zabelana ngedatha.
2. Supply Chains
Amawele edijithali angasetshenziswa ngokoqobo ukunikezela ngamaketanga ukudala imodeli enemininingwane yokuziphatha kwe-supply chain. Amawele edijithali vumela ukulungiswa lapho uhamba khona kanye nombono onemininingwane eminingi yalo lonke uchungechunge lokuhlinzeka.
Amawele edijithali ochungechunge lokunikezela asebenzisa izifunzo zolwazi lwesikhathi sangempela. Idatha efana nokuthunyelwa okuzayo, izindawo zezimoto, nohlu lwamagama lungasiza ukuhlola isimo samanje sochungechunge lokunikezela. Lawa mawele edijithali angahle ahlelwe ukuthi enze isenzo esithile uma izehlakalo ezithile zenzekile, njengalapho umkhiqizo uphelile.
Ngenxa yobhubhane lwe-COVID-19, amamodeli edijithali ochungechunge lokunikezela angasiza ekwehliseni izingozi. Amawele edijithali avumela ukulandelela okunembile nokulethwa kwezimpahla ezibalulekile njengemithi yokugoma, amasampula zelebhu, nezinye izisetshenziswa zezokwelapha.
Izimpahla ezifana nemithi yokugoma zidinga amazinga okushisa athile ngesikhathi sokuthutha, okungagadwa kusetshenziswa amawele edijithali.
3. Ukunakekela impilo
Besebenzisa ubuchwepheshe obungamawele edijithali, odokotela maduze bangakwazi ukudala izitho ezibonakalayo ezingenziwa ngokwezifiso esigulini esithile. Ososayensi basemtholampilo weCardiology esibhedlela sase-Heidelberg University, eJalimane sebevele sebeqalile ukulingisa iwele ledijithali inhliziyo. Inhliziyo ebonakalayo ingasetshenziswa ukubikezela ukuqhubeka kwesifo senhliziyo yesiguli kanye nezimpendulo ekwelashweni kwezidakamizwa.
Besebenzisa la mawele edijithali, odokotela bangabona izinga lokuphumelela lokuhlinzwa kwenhliziyo ngaphambi kokuba kuthathwe izinqumo. Amamodeli engcuphe ayinkimbinkimbi njengamawele edijithali angathola izixazululo ezilingana nesiguli esithile hhayi nje isixazululo seqembu elithile lezingozi.
4. Digital Twin Cities
Ngokukhula kwesidingo samadolobha ahlakaniphile, maduze kuzoba nenani elikhulu lemininingwane eqoqwe emadolobheni. Amadolobha ahlakaniphile ahlose ukulandelela zonke izinhlobo zemisebenzi yedolobha, kusukela kudatha yethrafikhi, ukulandelela abathintwayo, nezinkomba zemvelo.
Ngenxa yalokho, ukutholakala kwale datha kuzosivumela ukuthi sidale amawele edijithali kuwo wonke amadolobha.
Ngokuvumelana ne Isiphuphu, "isithembiso sewele ledijithali yedolobha ukusiza ukuhlinzeka ngendawo yokulingisa, ukuhlola izinketho zenqubomgomo, ukuveza ukuncika kanye nokuvumela ukubambisana kuzo zonke izindawo zenqubomgomo, ngenkathi kuthuthukiswa ukusebenzelana nezakhamuzi nemiphakathi."
Yonke le datha ingasetshenziselwa ukuhlela isimo nokuvimbela izinhlekelele ezizayo.
I-digital twin city ephumelelayo izosiza ukwazisa izinqumo zokwenza inqubomgomo kanjalo. Idatha yesimo sezulu, amaphethini ezokuthutha, nedatha yokubalwa kwabantu ingavumela imizamo eyengeziwe etholwe yidatha evela kuzikhulu zikahulumeni wendawo.
Uma amadolobha angahlinzeka ngezingosi eziwusizo ezakhamuzini zawo, khona-ke iwele ledijithali ledolobha lingathwebula izidingo nezimfuneko zozakwabo wempilo yangempela.
Isiphetho
Ubuchwepheshe be-Digital twin bunika amandla izimboni ezahlukahlukene ekwenzeni izinqumo ezingcono.
Lapho izitezi ziphezulu, njengokunakekelwa kwezempilo noma imboni yezokundiza, izinkampani zizimisele ukutshala imali kumawele edijithali ukuqinisekisa ukuthi noma iyiphi ingozi iyancishiswa.
Imikhakha eyinkimbinkimbi efana nokuphathwa kwe-supply chain izozuza ngokukwazi ukubona cishe wonke amazinga emininingwane ohlelweni.
Ngaphezu kwalokho, le mikhakha ingase isebenzise i-AI kanye Nokufunda Ngomshini ukuthuthukisa uhlelo njengoba idatha eyengeziwe iqoqwa emhlabeni wangempela.
Uma uthole lesi sihloko sinokuqonda, yabelana ngalesi sihloko bese ubhalisela i-HashDork's iphephandaba lamasonto onke ukuze uthole izindatshana ezengeziwe zezindaba zakamuva ze-AI ne-Future Tech.
shiya impendulo