1. Hungwaru Kuona uye Kugonesa muMineral Processing
Mumunda wekuchenesa ore, imwe mineral processing plant yakaunzakudzidza kwakadzama-kwakavakirwa mufananidzo kucherechedzwa systemkuongorora ore munguva chaiyo. Iyo AI algorithms inonyatso ratidza hunhu hwe ore (semuenzaniso, saizi, chimiro, ruvara) kurongedza uye skrini yepamusoro-giredhi ore nekukurumidza. Iyi sisitimu yakaderedza mwero wekukanganisa kwechinyakare manyorero ekuronga kubva pa15% kusvika pa3%, ichiwedzera mashandiro ekugadzirisa ne50%.
,Analysis: Nekutsiva hunyanzvi hwevanhu nehunyanzvi hwekucherechedzwa kwekuona, AI haingodzikisi mutengo wevashandi chete asiwo inosimudzira kuchena kwezvinhu, kuisa hwaro hwakasimba hwematanho anotevera ekuchenesa.
2. Parameter Kudzora muSemiconductor Material Manufacturing
Intel inoshandisaAI-inotyairwa control systemmu semiconductor wafer kugadzirwa kuti itarise zvakakosha paramita (semuenzaniso, tembiricha, kuyerera kwegasi) mumatanho akaita semakemikari vapor deposition (CVD). Mamodheru ekudzidza emuchina ane simba anogadzirisa musanganiswa weparameta, kuderedza kusvibiswa kwewafer ne22% uye kuwedzera goho ne18%.
,Analysis: AI inobata hukama husina mutsara mune dzakaoma maitiro kuburikidza ne data modelling, optimize yekucheneswa mamiriro ekudzikisa kucheneswa kuchengetedza uye kugadzirisa yekupedzisira kuchena kwezvinhu.
3. Kuongorora uye Kusimbiswa kweLithium Battery Electrolytes
Microsoft yakabatana nePacific Northwest National Laboratory (PNNL) kushandisaAI modhiKuvheneka mamirioni makumi matatu nemaviri ekushandisa, kuratidza iyo yakasimba-state electrolyte N2116. Ichi chinyorwa chinoderedza kushandiswa kwesimbi yelithium ne70%, kuderedza njodzi dzekuchengetedza dzinokonzerwa ne lithium reactivity panguva yekucheneswa. AI yakapedza kuongorora mumavhiki-basa raiwanzoda makore makumi maviri.
,Analysis: AI-inogonesa high-throughput computational screening inomhanyisa kuwanikwa kwezvinhu zvakachena zvakanyanya uku ichirerutsa zvinodiwa zvekucheneswa kuburikidza nekugadzira optimization, kuenzanisa kugona uye kuchengeteka.
Common Technical Insights
- ,Data-Inotungamirirwa Sarudzo-Kuita: AI inosanganisa yekuyedza uye yekunyepedzera dhata kumepu hukama pakati pezvivakwa zvezvinhu uye mhedzisiro yekucheneswa, kupfupisa zvakanyanya kuyedza-uye-kukanganisa kutenderera.
- ,Multi-Scale Optimization: Kubva pakurongwa kweatomic-level (eg, N2116 screening 6 ) kusvika macro-level process parameters (semuenzaniso, semiconductor kugadzira 5 ), AI inogonesa kuyambuka-mwero synergy.
- ,Economic Impact: Mhosva idzi dzinoratidza kudzikiswa kwemitengo kwe20-40% kuburikidza nekubudirira kunowanikwa kana kutapudza tsvina.
Iyi mienzaniso inoratidza kuti AI iri kugadziridza sei matekinoroji ekuchenesa zvinhu mumatanho akati wandei: mbishi preprocessing, kudzora maitiro, uye chikamu dhizaini.
Nguva yekutumira: Mar-28-2025