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💬Tekan Play Demo untuk lihat bagaimana SCADA Data Summary Agent meringkaskan data historian.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
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03 Python Script Generation
1
📡
Ambil data SCADAQuery historian database
2
📊
Kira statistikCompute avg, min, max, trend
3
🚨
Ringkaskan alarmSummarize alarm events
4
📋
Laporan ringkasanGenerate summary report
import pandas as pd
from datetime import datetime, timedelta
def query_historian(tags, start, end):
data = {}
for tag in tags:
data[tag] = pd.Series(...) # simulated
return data
def summarize_tag(series):
return {
'avg': series.mean(),
'min': series.min(),
'max': series.max(),
'trend': 'up' if series.iloc[-1] > series.iloc[0] else 'down'
}
def summarize_alarms(alarm_log):
return pd.DataFrame(alarm_log).groupby('severity').size()
# Generate SCADA summary report
04 Block Diagram
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05 System Schematic
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⚠️ Validate SCADA data summary against raw historian data before reporting.
06 Simulasi SCADA Summary
Mula Ringkasan
Terminal Log
[SISTEM] Manufacturing & Control SCADA Data Summary Agent sedia
System Architecture
🤖 Agent Layer
Historian query
Stats calculator
Alarm summarizer
⚙️ Control Layer
SCADA historian
Alarm log
Trend data
Reports
Safety Notes
- Validate SCADA data summary against raw historian data before reporting.
- Configure role-based access for SCADA data.
- Audit all summary reports for compliance.
- Browser demo uses simulated data only.