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Ignition Historian Forensics

Ignition Historian Forensics

by: RIA
Created from 10+ years of manufacturing and industrial automation experience across food packaging, planter-part manufacturing, and Tier 1 automotive environments, with Ignition used in production-facing work over that span. The skill packages practical SCADA judgment around maintainable expressions, operator-safe behavior, troubleshooting habits, and realistic Designer/Gateway validation workflows.
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Ignition Historian Forensics

Diagnose Ignition 8.1 Tag Historian gaps, sparse trends, delayed rows, bad-quality windows, deadband compression, aggregation surprises, retention limits, tag identity mismatches, and chart-versus-query disagreements with an offline assistant built for SCADA evidence review.

Tested with Ignition 8.1.53.

Built from 10+ years of manufacturing and industrial automation experience across food packaging, planter-part manufacturing, and Tier 1 automotive environments, including practical Ignition use in production-facing work.

What It Helps With

  • Separate historian storage, store-and-forward delivery, raw row availability, query settings, aggregate calculations, and rendered chart behavior.
  • Review user-provided tag history screenshots, queryTagHistory exports, chart settings, SQL result sets, Gateway log excerpts, store-and-forward evidence, and time-window context.
  • Diagnose sparse analog trends, missing boolean events, deadband compression, interpolation/fill behavior, Average versus raw/on-change rows, quality filtering, stale data detection, and chart cache symptoms.
  • Investigate renamed or recreated tags, UDT instance path mismatches, historical tag paths, retention/pruning boundaries, active-store versus archive gaps, and partition evidence.
  • Produce least-invasive next proof steps for authorized Ignition administrators without changing Gateway configuration or writing historian data.

Example Prompt

Use ignition-historian-forensics to review this offline historian evidence.

I have an Ignition 8.1 Power Chart for [Plant]Packaging/Line1/Filler/Pressure_PV. Operators see a flat trend and gaps between 2026-06-18 06:00 and 10:00 America/Chicago, but the current tag value is Good. I exported a queryTagHistory result showing only a few rows with Average aggregation, no raw SQL yet, and I have a screenshot showing History Enabled with On Change sample mode, 0.5 engineering-unit historical deadband, and a 1-second tag group. Help me figure out whether this is missing historian data, deadband compression, or a chart/query setting issue.

Example Output

Historian Forensics Report

Scope: [Plant]Packaging/Line1/Filler/Pressure_PV, 2026-06-18 06:00 to 10:00 America/Chicago. The Good current value is useful availability evidence now, but it does not prove historical rows existed during that four-hour window.

Evidence inventory reviewed:

  • Power Chart screenshot: rendered visualization evidence.
  • Tag history screenshot: configuration evidence showing History Enabled, On Change sample mode, 0.5 EU historical deadband, 1-second tag group.
  • queryTagHistory export: calculated query evidence using Average aggregation.
  • Missing: raw/on-change query, chart pen settings, point count, interpolation/cache settings, quality rows, storage provider/store-and-forward status, SQL identity/partition evidence.

Current finding: I would not call this confirmed missing historian data yet.

  1. Deadband compression is plausible - Inferred.

    With On Change history and a 0.5 engineering-unit historical deadband, Ignition is not expected to store every 1-second execution. If Pressure_PV moved inside the deadband, the historian may legitimately store only a few points, which can render as a flat trend.

  2. The Average export is not raw proof - Observed.

    Average aggregation can collapse stored samples into calculated time buckets. A sparse Average result cannot distinguish "no stored rows" from "rows were aggregated/interpolated/filtered." This export is too weak to prove data loss.

  3. The Power Chart gaps are symptom evidence - Observed.

    The chart may be affected by point count, aggregate mode, interpolation, bad-quality filtering, cache, or pen path conversion. A screenshot alone is rendered query evidence, not raw historian storage evidence.

Next least-invasive proof step:

Run the same tag and exact window with an as-stored/raw-style query:

system.tag.queryTagHistory(
    paths=["[Plant]Packaging/Line1/Filler/Pressure_PV"],
    startDate=start,
    endDate=end,
    returnSize=-1,
    noInterpolation=True,
    includeBoundingValues=False,
    ignoreBadQuality=False
)

Then count non-null value rows and preserve quality. If raw/on-change rows exist, the issue is likely chart/query settings or expected deadband compression. If raw rows are absent, then check storage provider, store-and-forward/quarantine, tag identity, and retention before declaring true historian loss.

Offline Capafy Edition

This Capafy edition works from user-provided evidence such as tag history exports, screenshots, chart exports, queryTagHistory results, SQL result sets, Gateway log excerpts, store-and-forward screenshots, tag configuration snippets, and described behavior. It does not require live Gateway access and does not manipulate a running Gateway.

Live Gateway reads, writes, historian backfills, quarantine retry/delete actions, cache clears, tag history setting changes, SQL edits, or real-time Gateway control are outside this download edition and require a separate connection, authorization path, and implementation plan.

Suggested Tags

Ignition 8.1, Historian, Tag History, SCADA, Automation

Support

For support, contact [email protected].


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