1. gore ke neng moo go swanetšego go elwa hloko dikaonafatšo tše bohlale .
Ditšhupetšo tša bohlokwa tša sebjalebjale:
Aging equipment requiring frequent repairs (downtime >5%)
Inconsistent flour quality (ash content variations >0.2%)
High energy costs (>7kWh / tone milling) .
Rekoto ya ka seatla-go boloka go hlola diphapano tša go latišiša .
Mafelo a bohlokwa bakeng sa bohlale retrofitting:
Roller Mills - Tsenya disensara tša go thothomela le auto-Peakanyo ya sekgoba .
Di-sifter - Oketša go hlokomela kgatelelo ya skrine .
Ditshepedišo tša Pneumatic - di phethagatša ditaolo tša go dira gore go be le mohola wa go ela .
Methaladi ya go phuthela - Kopanya di- checkweigher tše di itirišago .
2. Smart Phetogo Mmapa wa Tsela .
Kgato ya 1: Didirišwa tša Motheo .
Kenya disensara tsa IoT bakeng sa:
Themphereitjhara (dibeha, di-motor) .
thothomelo (bohlokwa dikologela thepa) .
Tshebediso ya matla (ka mochine) .
Kgato ya 2: Go itirela tshepedišo .
Automated moqolo lekhalo taolo (± 0.01mm nepahetseng) .
Self-Go beakanya di-sifter ka tefo ya morwalo .
Ditemošo tša tlhokomelo ya go bolela e sa le pele (tsebišo ya pele ga nako ya 72hr) .
Mokgahlelo wa 3: AI Optimization .
Mehlala ya go ithuta ka motšhene bakeng sa:
Sekhahla sa go ntšhwa optimization .
Ponelopele ya Tšhomišo ya Enetši .
Boleng anomaly phumano .
3. Dikakanyokgolo tša phethagatšo tše bohlokwa .
A. Pre-Tlhagišo ya go hloma .
Netefatša mananeokgoparara a netweke (dinyakwa tša fasefase):
WiFi ya intasteri 6 goba Cat6 cabling .
99.9% Neteweke Tiisetso ya nako ya go šoma .
Dira ditlhahlobo tša go sepelelana ga mohlagase:
24V DC / 4-20mA letšoao tšehetso .
Tshireletso ya Surge bakeng sa disensara tsohle .
B. Tlhahlo ya Kgetho ya Didirišwa .
Karolo bohlale tšobotsi ROI nako .
Smart Rolls Auto-Go hlokomela ga corrugation dikgwedi tše 8-12 .
Digital Sifters Sekirini Breakage phumano 10-15 dikgwedi tse .
AI Packers Boima ba 'mele Auto-Prossation 6-9 Dikgwedi .
C. Dinyakwa tša Tlhahlo ya Bašomi .
Boemo ba motheo: tshebetso HMI (4hr thupelo) .
Maemo a Tšwetšego Pele: Tlhathollo ya Datha (Thuto ya 8HR) .
Maintenance Techs: Sensor Calibration (Thuto ya Matšatši a 2) .
4. Post-Mekgwa ye Mebotse ya go Tsenya ya go Hloma .
A. Taolo ya Datha .
Store tshebetso ya data bakeng sa bonyane 2 lilemo tse .
Phethagatša diprothokhole tša tšhireletšo ya inthanete:
Karolo ya VLAN .
Diapdeite tša ka mehla tša firmware .
B. Kaonafatšo ye e tšwelago pele .
Go lekanyetša tshepedišo ya kgwedi le kgwedi .
Algorithm ya kotara ya go tlwaetša gape .
Tlhahlobo ya Theknolotši ya Ngwaga le Ngwaga .
C. Dikaonafatšo tša Polokego .
Kopanya ditshepedišo tše bohlale le:
Dipotologo tša go emiša tša tšhoganetšo .
Tšhireletšo ya go thuthupa ga lerole .
