Njengoba intuthuko yezobuchwepheshe iqhubeka ngesivinini esisheshayo, kukhona ukulangazelela okukhulayo mayelana nokuhlanganiswa okungaba khona kwe-Artificial Intelligence (AI) kanye nemishini ezishintshayo kuzo zonke izimboni ezihlukahlukene, futhi umkhakha we-SMT (Surface Mount Technology) uyafana. Ikakhulukazi endaweni yokukhiqiza, ukuhlanganiswa okungenzeka kwe-AI kanye ne-automation kungachaza kabusha ikusasa le-SMT landscape. Le ndatshana ihlose ukuhlola ukuthi i-AI ingathuthukisa kanjani ukubekwa kwengxenye, inike amandla ukutholwa kwamaphutha ngesikhathi sangempela, futhi yenze kube lula ukunakekelwa okubikezelwayo, nokuthi lezi ntuthuko zingazilolonga kanjani izindlela zethu zokukhiqiza eminyakeni ezayo.
1.I-AI-Powered Component Placement
Ngokwesiko, ukubekwa kwengxenye kwakuyinqubo ecophelelayo, edinga kokubili ukunemba nesivinini. Manje, ama-algorithms e-AI, ngokusebenzisa ikhono lawo lokuhlaziya inani elikhulu ledatha, athuthukisa le nqubo. Amakhamera athuthukile, abhangqwe ne-AI, angakwazi ukubona umumo olungile wezingxenye ngokushesha kunangaphambili, aqinisekise ukubekwa okusebenzayo nokunembile.
2. Ukutholwa Kwephutha Kwesikhathi Sangempela
Ukuthola amaphutha ngesikhathi senqubo ye-SMT kubalulekile ekulawuleni ikhwalithi. Nge-AI, kuyenzeka ubone ukungahambisani noma amaphutha ngesikhathi sangempela. Amasistimu aqhutshwa yi-AI ahlala ehlaziya idatha evela emugqeni wokukhiqiza, ethola okudidayo futhi okungenzeka avimbele amaphutha okukhiqiza abizayo. Lokhu akunciphisi udoti kuphela kodwa futhi kuqinisekisa ukuthi imikhiqizo ihlangabezana namazinga aphezulu ekhwalithi.
3. Ukugcinwa Okubikezelwayo
Ukunakekela emhlabeni we-SMT kusebenze kakhulu. Kodwa-ke, ngamakhono we-AI wokubikezela wezibalo, lokhu kuyashintsha. Amasistimu e-AI manje angakwazi ukuhlaziya amaphethini namathrendi kusukela kudatha yomshini, abikezele ukuthi ingxenye ingase yehlule nini noma lapho umshini ungase udinge ukulungiswa. Le ndlela esebenzayo inciphisa isikhathi sokuphumula, iqinisekisa ukukhiqizwa okuqhubekayo nokonga ezindlekweni zokulungisa ezingalindelekile.
4. Ukuvumelana kwe-AI kanye ne-Automation
Ukuhlanganiswa kwe-AI ne-automation embonini ye-SMT kunikeza amathuba angenamkhawulo. Amarobhothi azenzakalelayo, ashayelwa ukuqonda kwe-AI, manje angenza imisebenzi eyinkimbinkimbi ngokusebenza kahle okukhulu. Idatha ecutshungulwa yi-AI kusuka kulawa masistimu azenzakalelayo nayo iyasiza ekucwengisiseni izinqubo zokusebenza, kuthuthukiswe ukukhiqiza.
5. Ukuqeqeshwa kanye Nokuthuthukiswa Kwamakhono
Njengoba i-AI kanye ne-automation igxila kakhulu embonini ye-SMT, amakhono adingekayo kubasebenzi azoguquka nakanjani. Izinhlelo zokuqeqesha zizogxila kakhulu ekuqondeni imishini eshayelwa yi-AI, ukutolika idatha, kanye nokuxazulula izinkinga ezithuthukisiwe ezizenzakalelayo.
Sengiphetha, ukuhlanganiswa kwe-AI kanye ne-automation kusetha isifundo esisha embonini ye-SMT. Njengoba lobu buchwepheshe buqhubeka bukhula futhi buhlanganiswa kakhulu nemisebenzi yansuku zonke, buthembisa ukuletha ukusebenza kahle, ikhwalithi, kanye nokuqanjwa okusha okungakaze kwenzeke ngaphambili. Kumabhizinisi akumkhakha we-SMT, ukwamukela lezi zinguquko akuyona nje indlela eya empumelelweni; kubalulekile ukuze usinde.
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Isikhathi sokuthumela: Nov-01-2023
