Joalo ka tšepe ea bohlokoa e sa tloaelehang, tellurium e fumana lits'ebetso tsa bohlokoa liseleng tsa letsatsi, lisebelisoa tsa thermoelectric le tlhahlobo ea infrared. Mekhoa e tloaelehileng ea ho hloekisa e tobane le mathata a kang ts'ebetso e tlaase, tšebeliso e phahameng ea matla, le ntlafatso e fokolang ea bohloeki. Sengoliloeng sena se hlahisa ka mokhoa o hlophisehileng hore na mahlale a maiketsetso a bohlale a ka ntlafatsa ka botlalo mekhoa ea tlhoekiso ea tellurium.

1. Boemo ba Hona joale ba Tellurium Purification Technology

1.1 Mekhoa e Tloaelehileng ea ho Hloekisa Tellurium le Meeli

Mekhoa e Meholo ea Tlhoekiso:

• Vacuum distillation: E loketse ho tlosa litšila tse tlase tse belang (mohlala, Se, S)
• Ntlafatso ea libaka: E sebetsa haholo bakeng sa ho tlosa litšila tsa tšepe (mohlala, Cu, Fe)
• Electrolytic refining: E ​​khona ho tlosa litšila tse ngata tse tebileng
• Lipalangoang tsa mouoane oa lik'hemik'hale: E ka hlahisa tellurium ea ultra-high-purity (grade ea 6N le holimo)

Mathata a ka Sehloohong:

• Litekanyetso tsa ts'ebetso li its'etleha ho boiphihlelo ho fapana le ts'ebetso e hlophisitsoeng
• Bokhoni ba ho tlosa litšila bo fihla mefuteng (haholo-holo bakeng sa litšila tse seng tsa tšepe tse kang oksijene le khabone)
• Tšebeliso e phahameng ea matla e lebisa litšenyehelong tse phahameng tsa tlhahiso
• Phapang e kholo ea bohloeki ba batch-to-batch le botsitso bo fokolang

1.2 Mekhahlelo ea Bohlokoa bakeng sa Ntlafatso ea Tlhoekiso ea Tellurium

Core Process Parameter Matrix:

2. Moralo oa Kopo oa AI bakeng sa Tlhoekiso ea Tellurium

2.1 Kakaretso ea Boqapi ba Theknoloji

Sistimi ea Ntlafatso ea AI ea mekhahlelo e meraro:

1. Lera la ho bolela esale pele: Mehlala ea ho lepa sephetho sa ho ithuta ka mochini
2. Lera la ho ntlafatsa: Li-algorithms tsa ntlafatso ea lipheo tse ngata
3. Lera la taolo: Litsamaiso tsa taolo ea ts'ebetso ea nako ea nnete

2.2 Sistimi ea ho Fumana le ho sebetsa ha data

Multi-source Data Integration Solution:

• Lintlha tsa sensor ea lisebelisoa: 200+ parameters ho kenyelletsa mocheso, khatello, sekhahla sa phallo
• Lintlha tsa tlhahlobo ea ts'ebetso: Liphetho tsa tlhahlobo ea "mass spectrometry" le spectroscopic
• Lintlha tsa tlhahlobo ea laboratori: Liphetho tsa liteko tse kantle ho marang-rang tse tsoang ho ICP-MS, GDMS, jj.
• Lintlha tsa nalane ea tlhahiso: Lirekoto tsa tlhahiso ho tloha lilemong tse 5 tse fetileng (lihlopha tse 1000+)

Boenjiniere ba Sebopeho:

• Letoto la nako le kenyelletsa mokhoa oa ho hula ka mokhoa oa fensetere o thellang
• Khaho ea ho falla ha litšila likarolo tsa kinetic
• Nts'etsopele ea matrices a ho sebelisana parametha
• Ho theha likarolo tsa ho leka-lekana ha thepa le matla

3. Lintlha tse qaqileng tsa Core AI Optimization Technologies

3.1 Tokiso e Tebileng ea ho Ithuta-E Thehiloe Ts'ebetsong ea Paramethara

Neural Network Architecture:

• Lera le kenyang: liparamente tsa tšebetso tsa 56-dimensional (tse tloaelehileng)
• Likarolo tse patiloeng: 3 LSTM layers (256 neurons) + 2 lihlopha tse hokahaneng ka botlalo
• Sekhahla sa tlhahiso: matšoao a boleng ba 12-dimensional (ho hloeka, lintho tse sa hloekang, joalo-joalo)

Maano a Thupelo:

• Ho ithuta ho fetisa: Koetliso ea pele e sebelisa lintlha tsa tlhoekiso ea litšepe tse tšoanang (mohlala, Se)
• Ho ithuta ka mafolofolo: Ho ntlafatsa meralo ea liteko ka mokhoa oa D-optimal
• Ho ithuta ho matlafatsa: Ho theha mesebetsi ea moputso (ntlafatso ea bohloeki, phokotso ea matla)

Maemo a Tloaelehileng a Ntlafatso:

• Vacuum distillation profile optimization: Phokotso ea 42% ea masala a Se
• Ntlafatso ea sekhahla sa ntlafatso ea libaka: ntlafatso ea 35% ea ho tlosoa ha Cu
• Ntlafatso ea tlhahiso ea elektrolyte: keketseho ea 28% ea katleho ea hajoale

3.2 Lithuto tsa Mokhoa oa ho Tlosa Litšila ka Khomphutha

Lipapiso tsa Molecular Dynamics:

• Nts'etsopele ea ts'ebetso ea Te-X (X=O,S,Se, joalo-joalo) e ka bang teng
• Ketsiso ea kinetics karohano ea litšila ka mocheso o fapaneng
• Polelo-pele ea matla a tlamang a tlamang-ho se hloeke

Lipalo tsa Melao-motheo ea Pele:

• Palo ea matla a ho theha litšila sebakeng sa tellurium lattice
• Ho bolela esale pele ka mekhoa e metle ea chelating ea limolek'hule
• Ntlafatso ea litsela tsa tšebetso ea lipalangoang tsa mouoane

Mehlala ea Tšebeliso:

• Ho sibolloa ha "oksijene" e ncha ea "scavenger LaTe₂", ho fokotsa litaba tsa oksijene ho 0.3ppm.
• Moralo oa li-agent tse ikhethileng tsa chelating, tse ntlafatsang ts'ebetso ea ho tlosa carbon ka 60%

3.3 Digital Twin le Virtual Process Optimization

Kaho ea Sistimi ea Mafahla a Dijithale:

1. Moetso oa Jiometri: Tlhahiso e nepahetseng ea 3D ea lisebelisoa
2. Mohlala oa 'mele: phetisetso ea mocheso e kopaneng, phetiso ea bongata, le matla a mokelikeli
3. Moetso oa lik'hemik'hale: kinetics e kopantsoeng ea karabelo ea litšila
4. Mokhoa oa ho laola: Likarabo tsa tsamaiso ea ho etsisa

Ts'ebetso ea Virtual Optimization:

• Ho etsa liteko tse 500+ tse kopanyang tšebetso sebakeng sa dijithale
• Ho khetholla li-parameter tsa bohlokoa (CSV analysis)
• Polelo ea lifensetere tse sebetsang hantle (tlhahlobo ea OWC)
• Netefatso ea matla a ts'ebetso (Ketsiso ea Monte Carlo)

4. Tsela ea Phethahatso ea Liindasteri le Tlhahlobo ea Melemo

4.1 Moralo oa Phethahatso oa Mokhahlelo

Mohato oa Pele (likhoeli tse 0-6):

• Phetiso ea litsamaiso tsa motheo tsa ho fumana lintlha
• Ho theha database ea ts'ebetso
• Nts'etsopele ea mekhoa ea ho bolela esale pele
• Ts'ebetsong ea ts'ebetso ea ts'ebetso ea bohlokoa ea ho beha leihlo

Mokhahlelo oa II (likhoeli tse 6-12):

• Ho phethoa ha tsamaiso ea mafahla ea digital
• Ntlafatso ea li-module tsa mantlha tsa ts'ebetso
• Ts'ebetsong ea taolo e koetsoeng ea Pilot
• Tsoelo-pele ea tsamaiso ea traceability ea boleng

Mokhahlelo oa III (likhoeli tse 12-18):

• Ts'ebetso e felletseng ea AI
• Sistimi ea taolo e ikamahanyang le maemo
• Mekhoa ea tlhokomelo e bohlale
• Mekhoa ea ho ithuta e tsoelang pele

4.2 Melemo e Lebeletsoeng ea Moruo

Taba e Ithutoang ea Tlhahiso ea Tellurium ea Lithane tse 50 ka Selemo:

5. Mathata a Setegeniki le Litharollo

5.1 Likotlolo tsa Botekgeniki tsa Bohlokoa

1. Mathata a Boleng ba Lintlha:
   • Lintlha tsa indasteri li na le lerata le leholo le litekanyetso tse sieo
   • Litekanyetso tse sa lumellaneng ho pholletsa le mehloli ea data
   • Nako e telele ea ho fumana lintlha tsa tlhahlobo ea bohloeki bo phahameng
2. Kakaretso ea Mohlala:
   • Liphetoho tse tala li baka ho hloleha ha mohlala
   • Botsofali ba lisebelisoa bo ama botsitso ba ts'ebetso
   • Litlhaloso tse ncha tsa sehlahisoa li hloka koetliso ea mohlala
3. Mathata a ho Kopanya Sisteme:
   • Litaba tsa ho lumellana pakeng tsa lisebelisoa tsa khale le tse ncha
   • Ho lieha ho arabela ka nako ea sebele
   • Liphephetso tsa polokeho le ts'epo ea netefatso

5.2 Litharollo tse ncha

Ntlafatso ea data e ikamahanyang le maemo:

• Ho hlahisa data e thehiloeng ho GAN
• Fetisetsa thuto ho lefella khaello ea data
• Ho ithuta ho se nang leihlo ho sebelisa lintlha tse sa ngolisoang

Mokhoa oa Hybrid Modeling:

• Mefuta ea data e thibetsoeng ka fisiks
• Mechanism-guided neural network architectures
• Multi-fidelity model fusion

Edge-Cloud Collaborative Computing:

• Ho tsamaisoa ha li-algorithms tsa bohlokoa tsa taolo
• Cloud computing bakeng sa mesebetsi e rarahaneng ea ho ntlafatsa
• Khokahano e tlase ea 5G

6. Litaelo tsa Ntšetso-pele ea Kamoso

1. Intelligent Material Development:
   • Lisebelisoa tse khethehileng tsa tlhoekiso tse entsoeng ke AI
   • Tlhahlobo ea boemo bo holimo ea motsoako o nepahetseng oa tlatsetso
   • Polelo ea mekhoa e mecha ea ho hapa litšila
2. Ho Ikemela ka ho Feletseng:
   • Boiketsi ba ts'ebetso e bolela
   • Ho iketsetsa mekhoa ea ts'ebetso
   • Boikemisetso ba ho itokisa
3. Mekhoa ea ho hloekisa Green:
   • Tekanyetso e fokolang ea matla
   • Litharollo tsa ho tsosolosa litšila
   • Tlhokomelo ea nako ea 'nete ea carbon footprint

Ka kopanyo e tebileng ea AI, tlhoekiso ea tellurium e ntse e fetoha ho tloha ho ts'ebetso ea boiphihlelo ho ea ho data-drive, ho tloha ts'ebetsong e arohaneng ho isa ts'ebetsong e felletseng. Likhamphani li eletsoa ho sebelisa leano la "morero o moholo, ho kenya ts'ebetsong ka mekhahlelo", ho etelletsa pele katleho mehatong ea bohlokoa ea ts'ebetso le butle-butle ho haha ​​​​litsamaiso tse bohlale tsa tlhoekiso.