Maudindo Enieni a Artificial Intelligence mu Kuyeretsa Zinthu

I. Raw Material Screening and Pretreatment Optimization

1. paHigh-Precision Ore Grading: Makina ozindikira zithunzi mozama pophunzira amasanthula mawonekedwe a ore (monga kukula kwa tinthu, mtundu, kapangidwe) munthawi yeniyeni, kukwanitsa kuchepetsa zolakwika ndi 80% poyerekeza ndi kusanja pamanja.
2. paKuyang'ana Zinthu Mwapamwamba: AI imagwiritsa ntchito makina ophunzirira makina kuti azindikire mwachangu anthu omwe ali ndi ukhondo wapamwamba kuchokera kumamiliyoni azinthu zophatikizika. Mwachitsanzo, pakukula kwa ma electrolyte a lithiamu-ion batire, kuwongolera bwino kumachulukirachulukira potengera njira zachikhalidwe.

II. Kusintha kwamphamvu kwa magawo a process

1. paKey Parameter Kukhathamiritsa: Mu semiconductor wafer chemical vapor deposition (CVD), mitundu ya AI imayang'anira magawo ngati kutentha ndi kutuluka kwa gasi mu nthawi yeniyeni, kusintha machitidwe kuti achepetse zotsalira zonyansa ndi 22% ndikuwonjezera zokolola ndi 18%.
2. paMulti-Process Collaborative Control: Makina oyankha otsekeka amaphatikiza zoyeserera ndi zolosera za AI kuti akwaniritse kaphatikizidwe kaphatikizidwe ndi momwe amachitira, kuchepetsa kugwiritsa ntchito mphamvu kuyeretsa ndi 30%.

III. Kuzindikira Kusayera kwanzeru ndi Kuwongolera Ubwino

1. paChizindikiritso cha Microscopic Defect: Masomphenya a makompyuta ophatikizidwa ndi kujambula kwapamwamba amazindikira ming'alu ya nanoscale kapena kugawanika kwa zonyansa mkati mwa zipangizo, kukwaniritsa 99.5% molondola ndikuletsa kuwonongeka kwa ntchito pambuyo pa kuyeretsa ⁸ .
2. paSpectral Data Analysis: Ma algorithms a AI amamasulira okha ma X-ray diffraction (XRD) kapena data ya Raman spectroscopy kuti azindikire mwachangu mitundu ya zonyansa ndi kuchuluka kwake, ndikuwongolera njira zoyeretsera.

IV. Njira Zodzichitira zokha ndi Kupititsa patsogolo Mwachangu

1. paKuyesera Mothandizidwa ndi Roboti: Makina anzeru a robotic amasintha ntchito zobwerezabwereza (mwachitsanzo, kukonzekera yankho, centrifugation), kuchepetsa kulowererapo pamanja ndi 60% ndikuchepetsa zolakwika zogwirira ntchito.
2. paKuyesera Kwambiri: Mapulatifomu oyendetsedwa ndi AI amayesa kuyesa mazana ambiri motsatana, kumathandizira kuzindikira kaphatikizidwe koyenera komanso kufupikitsa kuzungulira kwa R&D kuyambira miyezi mpaka milungu.

V. Kupanga zisankho zoyendetsedwa ndi data komanso kukhathamiritsa kwamitundu ingapo

1. paMulti-Source Data Integration: Pophatikiza kapangidwe kazinthu, magawo azinthu, ndi magwiridwe antchito, AI imapanga zitsanzo zolosera za zotsatira za kuyeretsedwa, kukulitsa chipambano cha R&D ndi 40%.
2. paKuyerekezera Kapangidwe ka Atomiki: AI imaphatikiza mawerengedwe a density functional theory (DFT) kulosera njira zakusamuka kwa atomiki panthawi yoyeretsedwa, ndikuwongolera njira zokonzetsera chilema.

Kuyerekeza kwa Phunziro la Nkhani

Kudzera m'njira izi, AI sikuti imangosintha mawonekedwe a R&D pakuyeretsa zinthu komanso imayendetsa bizinesiyo kunjira yabwino.chitukuko chanzeru komanso chokhazikikapa