PlantIQ

Plant Visibility & Traceability

Live plant visibility with the history to explain what happened.

A foundational application for plants that cannot consistently see operating state and historical process behavior outside the control room.

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Works with existing PLCs, SCADA, and historians. No HMI or controls replacement required.

Live process · Pasteurizer A

Illustrative example: sample data, not a customer result.

Problem

The plant is running. Outside the control room, the story is incomplete.

Most brownfield plants already have PLCs, SCADA, and historians. What they often lack is a consistent way for managers, engineers, quality teams, and remote stakeholders to see current state and reconstruct what happened during a run, shift, CIP, or excursion.

When people cannot share the same operating picture, investigations become debates, shift handovers lose context, and every improvement initiative starts by hunting for evidence.

Live process · Pasteurizer A

Illustrative example: sample data, not a customer result.

Connect & model

What PlantIQ connects and models

Plant Visibility & Traceability sits on the PlantIQ Operational Model so every trend, state, and event is tied to a real plant object, not an orphaned tag name.

The goal is shared situational awareness and explainable history, not another disconnected screen.

  • Sites, areas, lines, processes, and assets
  • Sensors, PLC tags, SCADA points, and historian series
  • Batches, runs, cycles, phases, and events
  • Operating limits, annotations, and timeline context

Decision questions this solution answers

  1. 1

    What is happening on this line, process, or asset right now?

  2. 2

    How did this batch, CIP, pasteurization cycle, or shift compare with the expected pattern?

  3. 3

    When did the deviation start, and what else changed around it?

  4. 4

    Can operations, quality, and management review the same evidence without living in the control room?

Core experiences

  • Live plant and area overview

    Current process and equipment state across sites, areas, and lines in a web and mobile-ready experience.

  • Run, batch, and cycle history

    Timeline views for production runs, pasteurization cycles, CIP sequences, and related events.

  • Historical trends with annotations

    Trends linked to plant context, with markers for phases, trips, setpoints, and operator notes where available.

  • Event and trip chronology

    Chronological evidence for alarms, trips, restarts, and state changes to support faster investigation.

  • Export and reporting

    Shareable views and exports for shift reviews, quality discussions, and management follow-up.

Illustrative example: pasteurization visibility

Example workflow

  1. 1.Open the live process view for the pasteurizer.
  2. 2.Inspect temperature, flow, pressure, and phase duration against expected limits.
  3. 3.Switch to the historical run timeline when a deviation marker appears.
  4. 4.Annotate the excursion, share evidence with quality and operations, and decide the next check.

The value is not a prettier HMI. It is a consistent operating record that people outside the control room can use without disrupting operators.

Data requirements and realistic limits

Required

  • Secure connectivity to relevant PLC tags, SCADA points, or historian series
  • A minimum plant model for the areas, lines, processes, and assets in scope
  • Agreed naming and time synchronization for the signals being reviewed

Helpful

  • Batch/run identifiers, product or SKU context, and phase markers
  • Alarm and trip histories
  • Operator annotations or maintenance notes

Limits

  • Visibility quality depends on the signals that actually exist and can be trusted.
  • PlantIQ does not replace HMI/SCADA or provide safety-critical control.
  • Historical depth is limited by source-system retention and agreed data scope.

Guardrails

  • Not a controls replacement or safety system.
  • Not a guarantee of complete plant coverage without scoped integration work.
  • Not a substitute for on-site investigation when field evidence is required.

Business value and measurable signals

  • Faster investigation time for excursions and recurring events
  • Fewer unresolved debates over what happened on a run or shift
  • Improved shift and management visibility outside the control room
  • A reusable evidence foundation for loss, utility, and reliability use cases

Personas

Outcomes by role

The same plant model, composed for the decisions each stakeholder owns.

  • Plant manager

    • See current plant state without interrupting the control room
    • Review significant deviations with shared evidence

  • Operations / quality

    • Trace batch, CIP, and thermal-process history
    • Support discussions with consistent timelines and annotations

  • Engineering / automation

    • Expose useful live and historical views without rebuilding every HMI screen
    • Establish a plant model that later solutions can reuse

Deployment path

  1. 1

    Discover

    Select the process areas and decision questions that matter first.

  2. 2

    Connect & model

    Integrate agreed signals and build the site/area/line/process/asset model.

  3. 3

    Go live

    Deliver live views, timelines, and the first investigation workflows.

  4. 4

    Expand

    Add more lines, cycles, and adjacent solution packs on the same model.

Related solutions

Expand on the same operational model

Next step

Start with Plant Visibility & Traceability

Bring us the process, asset, utility system, or production loss that matters. We will assess available data and define a focused first deployment.

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