0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat sistem monitoring C&I industri.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
Menunggu Sedang aktif Selesai
03 Python Script Generation
1
📡
Baca SCADA exportCSV dari historian — tag PLC dan alarm
2
🧠
Korelasi alarmKumpul alarm mengikut sumber dan masa
3
📊
Kira OEEAvailability × Performance × Quality
4
📋
Laporan dashboardRingkasan prestasi dan alarm
import pandas as pd, json
from datetime import datetime
scada = pd.read_csv('scada_export.csv')
alarms = scada[scada['type'] == 'ALARM']
summary = {
"total_tags": len(scada['tag'].unique()),
"active_alarms": len(alarms[alarms['status'] == 'active']),
"oee": {
"availability": 0.92,
"performance": 0.88,
"quality": 0.97,
"overall": 0.92 * 0.88 * 0.97
},
"top_alarm_sources": alarms['source'].value_counts().head(5).to_dict()
}
print(json.dumps(summary, indent=2))
04 Block Diagram
Menunggu Sedang aktif Selesai
05 System Architecture
Menunggu Sedang aktif Selesai
⚠️ Jangan sambungkan detached system terus ke PLC output yang boleh menyebabkan pergerakan machine.
06 C&I Dashboard Simulation
Mula Simulasi
Terminal Log
[SISTEM] C&I Monitor sedia
System Architecture
🤖 Agent Layer
SCADA historian parsing
Alarm correlation
OEE dashboard
🏭 Plant Layer
SCADA system
PLC controllers
Industrial network
Safety Notes
- Detached system hanya baca data — jangan tulis terus ke PLC.
- Alarm correlation perlukan konteks engineer untuk pengesahan.
- OEE hanya untuk rujukan — bukan untuk penilaian prestasi akhir.
- Browser demo tidak menyentuh SCADA sebenar.