4.2.9 Status History
4.2.9.1 Overview
The Status History panel displays a grid of colored cells where each column represents a time bucket and each row represents a metric. It provides a compact, calendar-style view of state patterns across multiple dimensions simultaneously — ideal for spotting recurring patterns, shifts, or periods of abnormal behavior across a long time range.
4.2.9.2 When to Use
Use the Status History panel when:
- You want a high-level calendar-style overview of states across many time buckets (hours, days, shifts)
- You are comparing state patterns across multiple metrics or devices at the same time
- You need to answer questions like "which hours this week had out-of-limit conditions?" or "which devices were in alarm on Monday?"
For a continuous band showing every state transition in detail, use the State Timeline instead.
4.2.9.3 Configuration
Edit Mode Toolbar
In addition to the common edit mode controls, the Status History adds:
| Control | Description |
|---|---|
| Save as Image | Download the current preview as a PNG image |
| Full Screen | Expand the editor preview to fill the browser window |
| Panel Insights | Run AI analysis on the current preview data |
Graph Settings
| Setting | Description |
|---|---|
| Title | Chart title |
| Subtitle | Secondary title |
| Value Mapping | Define how data values map to display colors and labels — see section below |
| Border Width | Width of the borders between cells (slider) |
| Row Height | Relative height of each row (slider) |
| Column Width | Width of each time-bucket column (slider) |
| Fill Opacity | Transparency of the cell fill color, 0–1 |
| Rotate Labels | Rotation of X-axis time labels: -90°, -45°, 0°, 45°, or 90° |
| Label Interval | Display density of X-axis time labels: Auto, Small, Medium, Large |
The time bucket size is controlled by the Sliding Window setting in the data configuration. For example, a 1-hour sliding window produces one column per hour.
Value Mapping
Value mappings translate raw data values into display text and cell colors. Click + Edit Value Mappings to open the mapping editor, which supports five condition types:
| Condition Type | Description |
|---|---|
| Value | Match a specific text or numeric value |
| Range | Match a numeric range by specifying upper and lower bounds |
| Regex | Match a regular expression and replace the displayed text |
| Special Value | Match special states such as null, NaN, boolean, or empty values |
| Other Values | Catch-all rule that matches any value not covered by earlier rules |
Each mapping rule can specify an optional Display Text and a Color. Rules are evaluated top-to-bottom; the first match wins.
4.2.9.4 Example Scenarios
Weekly alarm heatmap. Ten alarm signals are added as rows. A 1-hour sliding window produces 168 columns (one per hour over 7 days). Value mappings set 0 → gray and 1 → red. The resulting grid shows at a glance which devices were in alarm and at what hours throughout the week.
Shift-by-shift operating mode review. An 8-hour sliding window across a month produces one column per shift. Each row represents a production line's operating mode. The operations manager can immediately see which shifts ran in the expected mode and which had unplanned stoppages.
Out-of-limit condition calendar. A quality engineer adds 12 process variables as rows with a 1-day sliding window. Value mappings color cells green (in-limit) or red (out-of-limit). The resulting calendar view highlights which days had quality issues across the process.
