Ukusetyenziswa kwetekhnoloji ye-AI kwintsimi ye-welding ikhuthaza ubukrelekrele kunye ne-automation yenkqubo ye-welding, ukuphucula ukusebenza kakuhle kwemveliso kunye nomgangatho wemveliso.
Ukusetyenziswa kwe-AI kwi-welding kuboniswa ikakhulu kule miba ilandelayo:
Ulawulo lwekhwalithi yokuwelda
Ukusetyenziswa kwetekhnoloji ye-AI kulawulo lomgangatho we-welding ibonakaliswa ikakhulu kuhlolo lwekhwalithi ye-welding, ukuchongwa kwesiphene se-welding, kunye nokulungiswa kwenkqubo ye-welding. Ezi zicelo aziphuculi nje ukuchaneka kunye nesantya se-welding, kodwa ziphucula kakhulu imveliso ngokubeka iliso ngexesha lokwenyani kunye nohlengahlengiso olukrelekrele. ukusebenza kakuhle kunye nomgangatho wemveliso. Nazi ezinye zezicelo eziphambili zetekhnoloji ye-AI kulawulo lomgangatho we-welding:
Ukuhlolwa komgangatho we-welding
Inkqubo yokuhlola umgangatho we-welding esekwe kumbono womatshini kunye nokufunda okunzulu: Le nkqubo idibanisa umbono wekhompyuter ophucukileyo kunye ne-algorithms yokufunda nzulu ukubeka iliso kunye nokuvavanya umgangatho we-welds ngexesha lenkqubo ye-welding ngexesha langempela. Ngokufaka iinkcukacha zenkqubo yokuwelda ngesantya esiphezulu, iikhamera eziphakamileyo, ii-algorithms zokufunda nzulu zinokufunda kwaye zichonge ii-welds zeempawu ezahlukeneyo, kubandakanya iziphene zokuwelda, iintanda, iipores, njl. kwiiparamitha zenkqubo ezahlukeneyo, iintlobo zezinto kunye neendawo zokuwelda, ukuze zifaneleke ngcono kwimisebenzi eyahlukeneyo yokuwelda. Kwizicelo ezisebenzayo, le nkqubo isetyenziswa ngokubanzi kwimveliso yeemoto, i-aerospace, imveliso yombane kunye nezinye iinkalo. Ngokuqaphela ukuhlolwa komgangatho ozenzekelayo, le nkqubo ayiphuculi kuphela ukusebenza kwenkqubo ye-welding, kodwa iqinisekisa umgangatho ophezulu womgangatho we-weld kunye nokunciphisa izinga eliphosakeleyo kwimveliso.
Ukuchongwa kwesiphene sokuwelda
I-Zeiss ZADD itekhnoloji yokufumanisa isiphene ngokuzenzekelayo: Iimodeli ze-AI zisetyenziselwa ukunceda abasebenzisi ngokukhawuleza basombulule iingxaki ezisemgangathweni, ngakumbi kwi-porosity, i-glue coating, inclusions, iindlela ze-welding kunye neziphene.
Indlela yokuqaphela umfanekiso we-weld esekelwe kwi-deep defect: Itekhnoloji yokufunda enzulu isetyenziselwa ukuchonga iziphene kwimifanekiso ye-X-ray ye-weld, ukuphucula ukuchaneka kunye nokusebenza kakuhle kokufunyanwa.
Welding parameter optimization
Inkqubo yokulungiswa kweparamitha: Ii-algorithms ze-AI zinokwandisa iiparitha zenkqubo ezifana ne-welding current, i-voltage, isantya, njl. ngokusekelwe kwidatha yembali kunye nengxelo yexesha langempela ukufezekisa umphumo we-welding. Ulawulo oluguquguqukayo: Ngokubeka iliso kwiiparamitha ezahlukeneyo ngexesha lenkqubo ye-welding ngexesha lokwenyani, inkqubo ye-AI inokulungelelanisa ngokuzenzekelayo iimeko zokuwelda ukumelana nokutshintsha kwezinto kunye nokusingqongileyo.
Irobhothi yeWelding
Ukucwangcisa indlela: I-AI inokuncedaiirobhothi zokuweldacwangcisa iindlela ezinzima kunye nokuphucula ukusebenza kakuhle kunye nokuchaneka kwe-welding.
Ukusebenza ngobukrelekrele: Ngokufunda okunzulu, iirobhothi ze-welding zinokuchonga imisebenzi eyahlukeneyo ye-welding kwaye zikhethe ngokuzenzekelayo iinkqubo ezifanelekileyo ze-welding kunye neeparamitha.
Uhlalutyo lwedatha ye-Welding
Uhlalutyo lwedatha enkulu: I-AI inokusebenza kwaye ihlalutye ubuninzi bedatha ye-welding, ifumane iipateni ezifihliweyo kunye neendlela, kwaye ibonelele ngesiseko sokuphucula iinkqubo ze-welding.
Ukugcinwa kwangaphambili: Ngokuhlalutya idatha yokusebenza yezixhobo, i-AI inokuqikelela ukungaphumeleli kwezixhobo ze-welding, ukwenza ukugcinwa kwangaphambili, kunye nokunciphisa ixesha lokuphumla.
Ukulinganisa okuNgcono kunye noQeqesho
Ukulinganisa i-Welding: Ukusebenzisa i-AI kunye ne-teknoloji ye-virtual reality, inkqubo ye-welding yokwenyani inokulinganiswa kuqeqesho lokusebenza kunye nokuqinisekiswa kwenkqubo. Ukulungiswa koqeqesho: Ngokuhlalutya kwe-AI yedatha yokusebenza kwe-welder, iingcebiso zoqeqesho lomntu ngamnye zinikezelwa ukuphucula izakhono ze-welding.
Imizila Yekamva
Ukuphuculwa kwe-automation: Ngophuhliso olukhawulezayo lobukrelekrele bokwenziwa kunye neerobhothi, izixhobo ezikrelekrele ze-welding ziya kufikelela kwinqanaba eliphezulu lokuzisebenzela kwaye ziqonde imisebenzi yokuwelda engaqhutywanga mntu okanye engenamntu.
Ulawulo lwedatha kunye nokubeka iliso: Izixhobo ezihlakaniphile ze-welding ziya kuba nokuqokelela idatha kunye nemisebenzi yokubeka iliso ekude, kwaye idlulisele ulwazi olufana neeparitha ze-welding, idatha yenkqubo, kunye nemeko yezixhobo kwiziko lokulawula kude okanye abasebenzisi bokugqibela ngexesha langempela ngeqonga lelifu.
Ukulungiswa kwenkqubo ye-welding ehlakaniphile: Izixhobo ze-welding ezihlakaniphile ziya kwandisa inkqubo ye-welding ngokusebenzisa i-algorithms edibeneyo ehlakaniphile ukunciphisa iziphene ze-welding kunye nokuguqulwa.
Ukudityaniswa kwenkqubo ezininzi: Izixhobo ezikrelekrele zokuwelda ziya kudibanisa iinkqubo ezahlukeneyo ze-welding kunye nobuchwepheshe ukuze kuphunyezwe imisebenzi emininzi kunye neenkqubo ezininzi.
Ngokubanzi, ukusetyenziswa kwe-AI kwi-welding kuye kwaphucula kakhulu umgangatho we-welding kunye nokusebenza kakuhle, ngelixa kunciphisa iindleko kunye nokuqina kwabasebenzi. Ngokuqhubela phambili okuqhubekayo kobuchwepheshe, ukusetyenziswa kwe-AI kwintsimi ye-welding kuya kuba kuninzi kwaye kunzulu.
Ixesha lokuposa: Aug-14-2024
