Raws li lub tswv yim tseem ceeb ntawm cov hlau tsis tshua muaj, tellurium pom cov ntawv thov tseem ceeb hauv cov hnub ci, cov khoom siv hluav taws xob, thiab kev tshawb pom infrared. Cov txheej txheem purification ib txwm ntsib teeb meem xws li kev ua haujlwm qis, kev siv hluav taws xob siab, thiab kev txhim kho purity tsawg. Tsab ntawv xov xwm no qhia txog yuav ua li cas cov cuab yeej txawj ntse txawj ntse tuaj yeem ua kom zoo dua cov txheej txheem tellurium purification.

1. Cov xwm txheej tam sim no ntawm Tellurium Purification Technology

1.1 Cov Txheej Txheem Kev Ua Kom Huv Huv Tellurium thiab Cov Kev Txwv

Main Purification Methods:

• Nqus distillation: Tsim nyog rau kev tshem tawm cov ntsiab lus qis-boiling impurities (xws li Se, S)
• Zone refining: Tshwj xeeb zoo rau kev tshem tawm cov hlau tsis huv (xws li Cu, Fe)
• Electrolytic refining: Muaj peev xwm tshem tawm ntau yam impurities
• Tshuaj vapor thauj: tuaj yeem tsim ultra-high-purity tellurium (6N qib thiab siab dua)

Cov Kev Sib Tw Tseem Ceeb:

• Cov txheej txheem tsis cia siab rau kev paub dhau los tsis yog kev ua kom zoo dua qub
• Impurity tshem tawm efficiency mus txog bottlenecks (tshwj xeeb tshaj yog rau non-metallic impurities xws li oxygen thiab carbon)
• Kev siv hluav taws xob siab ua rau cov nqi tsim khoom siab
• Qhov tseem ceeb batch-rau-batch purity variations thiab tsis zoo stability

1.2 Cov Kev Ntsuas Tseem Ceeb rau Tellurium Purification Optimization

Core Process Parameter Matrix:

2. AI Application Framework rau Tellurium Purification

2.1 Zuag qhia tag nrho Technical Architecture

Peb-theem AI Optimization System:

1. Txheej Prediction: Tshuab kev kawm-raws li txheej txheem kev twv ua ntej qauv
2. Optimization txheej: Multi-objective parameter optimization algorithms
3. Control txheej: Real-time txheej txheem tswj systems

2.2 Cov Ntaub Ntawv Tau Txais thiab Kev Ua Haujlwm

Multi-source Data Integration Solution:

• Cov ntaub ntawv khoom siv sensor: 200+ tsis suav nrog qhov ntsuas kub, siab, ntws tus nqi
• Cov txheej txheem soj ntsuam cov ntaub ntawv: Online loj spectrometry thiab spectroscopic tsom xam tau
• Cov ntaub ntawv soj ntsuam kuaj: Offline kuaj tau los ntawm ICP-MS, GDMS, thiab lwm yam.
• Cov ntaub ntawv tsim tawm keeb kwm: Cov ntaub ntawv tsim tawm los ntawm 5 xyoo dhau los (1000+ pawg)

Feature Engineering:

• Lub sij hawm-series feature extraction siv zawv zawg qhov rais txoj kev
• Kev tsim kho ntawm impurity migration kinetic nta
• Kev tsim cov txheej txheem parameter kev sib cuam tshuam matrices
• Tsim kom muaj cov khoom siv thiab lub zog sib npaug nta

3. Paub meej Core AI Optimization Technologies

3.1 Deep Learning-Based Process Parameter Optimization

Neural Network Architecture:

• Input txheej: 56-dimensional txheej txheem tsis (normalized)
• Cov khaubncaws sab nraud povtseg: 3 LSTM txheej (256 neurons) + 2 cov khaubncaws sab nraud povtseg
• Cov txheej txheem tso zis: 12-dimensional zoo ntsuas (purity, impurity cov ntsiab lus, thiab lwm yam)

Kev cob qhia cov tswv yim:

• Hloov kev kawm: Kev cob qhia ua ntej siv cov ntaub ntawv purification ntawm cov hlau zoo sib xws (piv txwv li, Se)
• Kev kawm nquag: Ua kom zoo rau kev sim tsim los ntawm D-optimal methodology
• Kev kawm txhawb zog: Tsim kom muaj nqi zog ua haujlwm (kev txhim kho purity, txo zog)

Hom Optimization Cases:

• Nqus distillation kub profile optimization: 42% txo hauv Se residue
• Zone refining tus nqi optimization: 35% kev txhim kho hauv Cu tshem tawm
• Electrolyte formulation optimization: 28% nce hauv kev ua haujlwm tam sim no

3.2 Computer-Aided Impurity Removal Mechanism Studies

Molecular Dynamics Simulations:

• Kev loj hlob ntawm Te-X (X = O, S, Se, thiab lwm yam) kev sib cuam tshuam muaj peev xwm ua haujlwm
• Simulation ntawm impurity sib cais kinetics ntawm qhov sib txawv kub
• Kev kwv yees ntawm additive-impurity binding energies

Thawj-Principles suav nrog:

• Kev suav ntawm impurity tsim energies hauv tellurium lattice
• Kev kwv yees ntawm kev pom zoo chelating molecular qauv
• Optimization ntawm vapor thauj cov tshuaj tiv thaiv txoj hauv kev

Piv txwv daim ntawv thov:

• Kev tshawb nrhiav tshiab cov pa oxygen scavenger LaTe₂, txo cov ntsiab lus oxygen rau 0.3ppm
• Tsim los ntawm cov neeg ua haujlwm chelating customized, txhim kho carbon tshem tawm efficiency los ntawm 60%

3.3 Digital Twin thiab Virtual Process Optimization

Digital Twin System Siv:

1. Geometric qauv: Muaj tseeb 3D luam tawm ntawm cov khoom siv
2. Lub cev qauv: Coupled heat transfer, mass transfer, and fluid dynamics
3. Cov qauv tshuaj: Integrated impurity tshuaj tiv thaiv kinetics
4. Tswj qauv: Simulated tswj system teb

Virtual Optimization txheej txheem:

• Kev sim 500+ txheej txheem ua ke hauv qhov chaw digital
• Kev txheeb xyuas qhov tseem ceeb tsis zoo (CSV tsom xam)
• Kev twv ua ntej ntawm qhov rais ua haujlwm zoo (OWC tsom xam)
• Cov txheej txheem robustness validation (Monte Carlo simulation)

4. Muaj Txoj Kev Ua Tau Zoo thiab Kev Tshawb Fawb Txog Kev Pabcuam

4.1 Phaseed Implementation Plan

Phase I (0-6 lub hlis):

• Kev xa tawm ntawm cov ntaub ntawv tau txais cov txheej txheem
• Tsim cov txheej txheem database
• Kev txhim kho ntawm cov qauv kev twv ua ntej
• Kev siv qhov tseem ceeb parameter xyuas

Phase II (6-12 lub hlis):

• Ua kom tiav cov digital twin system
• Optimization ntawm cov txheej txheem tseem ceeb modules
• Pilot kaw-loop tswj kev siv
• Zoo traceability system kev loj hlob

Phase III (12-18 lub hlis):

• Tag nrho cov txheej txheem AI optimization
• Adaptive tswj systems
• Cov kev tswj xyuas ntse
• Kev kawm tsis tu ncua mechanisms

4.2 Cov txiaj ntsig nyiaj txiag xav tau

Case Study ntawm 50-tuj Ib Xyoo High-Purity Tellurium Production:

5. Kev sib tw thiab kev daws teeb meem

5.1 Cov Ntsiab Lus Cov Ntsiab Lus

1. Cov teeb meem Data Quality:
   • Cov ntaub ntawv kev lag luam muaj suab nrov thiab qhov tseem ceeb uas ploj lawm
   • Cov qauv tsis sib xws ntawm cov ntaub ntawv
   • Ntev mus ntev mus rau high-purity tsom xam cov ntaub ntawv
2. Qauv Generalization:
   • Cov khoom siv raw variations ua rau cov qauv ua tsis tiav
   • Cov khoom aging cuam tshuam cov txheej txheem stability
   • Cov khoom tshiab specifications yuav tsum tau ua qauv retraining
3. System Integration nyuaj:
   • Compatibility teeb meem ntawm cov khoom qub thiab tshiab
   • Real-time tswj teb qeeb
   • Kev nyab xeeb thiab kev ntseeg siab rau kev txheeb xyuas cov teeb meem

5.2 Kev daws teeb meem tshiab

Adaptive Data Enhancement:

• GAN-based txheej txheem cov ntaub ntawv tsim tawm
• Hloov kev kawm los them rau cov ntaub ntawv tsis txaus
• Kev kawm ib nrab saib xyuas siv cov ntaub ntawv tsis muaj npe

Hybrid Modeling Approach:

• Physics-constrained data model
• Mechanism-guided neural network architectures
• Multi-fidelity qauv fusion

Edge-Cloud Collaborative Computing:

• Ntug xa tawm ntawm qhov tseem ceeb tswj algorithms
• Huab suav rau kev ua kom zoo tshaj plaws
• Tsawg-latency 5G kev sib txuas lus

6. Cov lus qhia txog kev txhim kho yav tom ntej

1. Intelligent Material Development:
   • AI tsim tshwj xeeb purification cov ntaub ntawv
   • High-throughput kev tshuaj ntsuam ntawm kev pom zoo additives ua ke
   • Prediction ntawm tshiab impurity capture mechanisms
2. Fully Autonomous Optimization:
   • Tus txheej txheem paub tus kheej hais
   • Self-optimizing ua hauj lwm parameters
   • Self-correcting anomaly daws
3. Green Purification Txheej Txheem:
   • Tsawg zog txoj kev optimization
   • Cov kev daws teeb meem pov tseg
   • Real-time carbon footprint xyuas

Los ntawm kev sib sib zog nqus AI kev koom ua ke, tellurium purification tab tom hloov pauv hloov pauv los ntawm kev paub dhau los rau cov ntaub ntawv-tsav, los ntawm kev ua kom zoo dua rau holistic optimization. Cov tuam txhab raug qhia kom siv lub tswv yim "kev npaj tswv yim, kev ua tiav theem" ​​lub tswv yim, ua ntej kev ua tiav hauv cov txheej txheem tseem ceeb thiab maj mam tsim cov txheej txheem kev huv huv huv.