Analysis (Custom Analysis)
Create instant custom analysis reports independent of Dashboard Settings. Detailed data analysis with TAG selection, filtering and chart features.
What is Analysis?
Analysis page is a flexible tool used to quickly analyze TAGs not on Dashboard, compare different TAGs or perform detailed analysis in custom time ranges. Also ideal for testing before adding to Dashboard.
Chart Algorithms
| Algorithm | How It Works | Use Case |
|---|---|---|
| DIFFERENCE | Subtracts each data point from previous one | Hourly production/consumption tracking |
| LINEAR | Shows TAG values directly | Instantaneous values like temperature, pressure |
| AVERAGE | Numerator / Denominator calculation | Unit cost analysis |
| SUM | Shows total values | Daily/monthly total consumption |
Chart Types
BAR
Bar chart - Ideal for comparison
LINE
Line chart - Ideal for trend analysis
AREA
Area chart - Cumulative view
RADAR
Radar chart - Multiple comparison
Creating Analysis
Step by Step Custom Analysis
- TAG Selection: Select TAG or Advanced TAG you want to analyze, You can select multiple TAGs, You can filter by TAG categories
- Chart Algorithm Selection: DIFFERENCE: For consumption/production tracking, LINEAR: For instantaneous value display, AVERAGE: For cost analysis (Select Numerator and Denominator TAG), SUM: For total value display
- Chart Type Selection: BAR: For comparison, LINE: For trend analysis, AREA: For cumulative view, RADAR: For multiple comparison
- Time Range Setting: Group By: Select HOUR, DAY or MONTH, Specify Start Date and End Date, Quick switching with Navigate buttons
- Starting Analysis: Click "Search" button, Chart is created and shown, You can change chart type anytime
Example Use Cases
Scenario 1: Hourly Electricity Consumption
Purpose: Analyze today's hourly electricity consumption
Scenario 2: Monthly Temperature Trend
Purpose: See temperature trend of last 30 days
Scenario 3: Unit Cost Analysis
Purpose: Analyze daily unit production cost
Scenario 4: Multiple TAG Comparison
Purpose: Compare consumption of different departments
Best Practices
- Clearly define your analysis purpose (consumption, trend, cost, etc.)
- Select correct algorithm type (DIFFERENCE, LINEAR, AVERAGE, SUM)
- Use meaningful chart types (LINE for trend, BAR for comparison)
- Keep time range reasonable (very long periods affect performance)
- Add frequently used analyses to Dashboard
- Detect anomalies by comparing different TAGs
- Compare with historical data using Navigate buttons
- Examine from different perspectives by changing chart type