How to generate report from scada historian data

Scada-systemsHow-ToBeginner · 4 min read

How to Generate Reports from SCADA Historian Data Easily

To generate a report from SCADA historian data, first query the historian database using its query language or API to extract the needed data. Then, use reporting tools or scripts to format and export this data into readable reports like CSV, PDF, or dashboards.

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Syntax

Generating reports from SCADA historian data involves two main steps: querying the historian and formatting the output.

Query syntax: Use the historian's query language or API to select tags, time ranges, and aggregation functions.
Report generation: Use tools or scripts to convert queried data into reports (tables, charts, files).

sql

SELECT TagName, Timestamp, Value FROM Historian WHERE Timestamp BETWEEN '2024-01-01T00:00:00' AND '2024-01-01T23:59:59' AND TagName = 'TemperatureSensor1'

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Example

This example shows how to query historian data using Python and generate a CSV report.

python

import csv
from datetime import datetime

# Simulated function to query historian data
# In real use, replace with actual historian API calls

def query_historian(tag, start_time, end_time):
    # Sample data returned as list of dicts
    return [
        {'Timestamp': '2024-01-01T00:00:00', 'Value': 22.5},
        {'Timestamp': '2024-01-01T01:00:00', 'Value': 23.0},
        {'Timestamp': '2024-01-01T02:00:00', 'Value': 21.8}
    ]

# Define parameters
start = '2024-01-01T00:00:00'
end = '2024-01-01T03:00:00'
tag = 'TemperatureSensor1'

# Query data
data = query_historian(tag, start, end)

# Write to CSV report
with open('temperature_report.csv', 'w', newline='') as csvfile:
    fieldnames = ['Timestamp', 'Value']
    writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
    writer.writeheader()
    for row in data:
        writer.writerow(row)

print('Report generated: temperature_report.csv')

Output

Report generated: temperature_report.csv

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Common Pitfalls

Incorrect time range: Querying outside the available data range returns empty results.
Wrong tag names: Using incorrect or misspelled tag names yields no data.
Ignoring data aggregation: Not aggregating data (e.g., averages) can produce too much raw data, making reports hard to read.
Not handling missing data: Missing timestamps or values can cause errors in report generation.

sql

/* Wrong query example: misspelled tag */
SELECT TagName, Timestamp, Value FROM Historian WHERE TagName = 'TemperaturSensor1'

/* Correct query example: proper tag name */
SELECT TagName, Timestamp, Value FROM Historian WHERE TagName = 'TemperatureSensor1'

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Quick Reference

Tips for generating SCADA historian reports:

Always verify tag names and time ranges before querying.
Use aggregation functions like AVG(), MAX(), MIN() to summarize data.
Export reports in common formats like CSV or PDF for easy sharing.
Automate report generation with scripts or scheduling tools.

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Key Takeaways

Query SCADA historian data using correct tag names and time ranges.

Use aggregation to make reports concise and meaningful.

Export data into readable formats like CSV or PDF for reporting.

Automate report generation with scripts or built-in tools.

Check for missing data and handle it to avoid errors.