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Machine Data Capture Systems

Create a trustworthy event history from machine states, counters and operator context before building higher-level analytics.

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Operational fit

Where Machine Data Capture Systems fits

Machine-data capture is the acquisition and normalisation layer. It reads or receives machine states, counters and events, timestamps them correctly, adds line or asset context, handles communication failures and stores a usable SQL history. Operator screens may be included where human confirmation is required, but OEE calculations and management dashboards are secondary outputs. Choose this service when the immediate problem is that reliable machine history does not yet exist.

Start with the machine or signal list, the available interface such as OPC UA or an API, and the exact event history the business needs.

Buyer trigger

When this becomes worth fixing

The plant produces signals and operator knowledge, but the business still cannot reconstruct a trustworthy event history or agree on what actually happened.

1

Shift or daily meetings depend on manually reconstructed downtime information.

2

Machine states, operator reasons and management reports regularly disagree.

3

Communication failures or state transitions are not visible after the fact.

4

OEE or production figures exist, but nobody fully trusts the assumptions behind them.

5

The business recognises “Machine state visibility” as a recurring operational problem, but ownership and root cause remain unclear.

6

The business recognises “Manual stoppage logs” as a recurring operational problem, but ownership and root cause remain unclear.

7

The business recognises “Operator confirmation gap” as a recurring operational problem, but ownership and root cause remain unclear.

8

The business recognises “No SQL history” as a recurring operational problem, but ownership and root cause remain unclear.

Business case

Why companies usually fund this work

The business case is usually reduced downtime ambiguity, faster root-cause review, less manual reconstruction and a defensible record that engineering, production and management can use together.

SQL-backed event history: measured against the current baseline, not treated as a vague promise.
Better stoppage visibility: measured against the current baseline, not treated as a vague promise.
Operator context: measured against the current baseline, not treated as a vague promise.
Management dashboards: measured against the current baseline, not treated as a vague promise.
Traceable exceptions: measured against the current baseline, not treated as a vague promise.
Scope boundary

What is included — and what is not assumed

The scope defines the boundary between control-system ownership and business-side software. Safety-critical PLC logic is not silently absorbed into a reporting project.

Usually included

  • Signal and state interpretation with clear source ownership
  • SQL event history with timestamps, asset context and failure diagnostics
  • Operator reason capture, confirmation and exception handling
  • Business-side reports or dashboards built on the agreed event model
  • Delivery of state model where it belongs inside the agreed phase.
  • Delivery of sql tables where it belongs inside the agreed phase.
  • Delivery of bridge service where it belongs inside the agreed phase.
  • Delivery of operator screens where it belongs inside the agreed phase.

Not included by default

  • Changes to safety PLC logic without the responsible automation owner
  • A plant-wide MES replacement unless separately scoped
  • Assuming raw tag values are already valid business events
  • Writing back to control systems without explicit responsibility and test boundaries
System shape

How the solution usually works

Signals are read or received, normalised into explicit states, combined with operator context, persisted into SQL and exposed through role-appropriate screens and reports.

1

A machine, PLC or SCADA source exposes a state, count or event.

2

A bridge service validates, debounces and timestamps the incoming information.

3

The system combines the technical state with line, job, operator or reason context.

4

SQL stores the event history and records communication or confirmation failures.

5

Operations screens show unresolved exceptions; reports summarise agreed production and loss measures.

Delivery approach

How the work is normally phased

1

Operational discovery: inspect the current machine signal, stoppage record or production report, users, hand-offs, exceptions and business consequences.

2

Boundary definition: agree what the first phase must control, what remains external and which assumptions need proof.

3

Technical design: define records, states, interfaces, permissions, failure handling and reporting before polishing screens.

4

Focused implementation: build the smallest supportable slice that creates real operational value and can be tested with actual users.

5

Live validation: run the system against real examples, edge cases and recovery scenarios rather than demo-only happy paths.

6

Handover and next phase: document support, unresolved risks, ownership and the evidence required before expanding scope.

Risk control

What a serious implementation must protect against

Incorrect state interpretation producing false production history
Duplicate, missing or out-of-order events
Operator inputs that overwrite rather than explain machine evidence
Hidden communication failures between SCADA, services and SQL
Unsafe assumptions about write-back responsibility
Unclear ownership when data, users or integrations disagree
A polished interface hiding unreliable source data or weak process rules
No practical recovery path when a scheduled job, device, API or user step fails
A first release that tries to replace too much before the core workflow is proven
Business outcomes

What this system should improve

1

SQL-backed event history

2

Better stoppage visibility

3

Operator context

4

Management dashboards

5

Traceable exceptions

Typical deliverables

What can be built

State model
SQL tables
Bridge service
Operator screens
Dashboard
Reports
Support notes
Buyer preparation

What to bring into the first conversation

1

One real machine signal, stoppage record or production report that shows how the process currently works.

2

The people who perform the work and the manager accountable for the result.

3

A recent example where the process was delayed, incorrect, invisible or expensive.

4

Known source systems, databases, devices, files, reports or external platforms.

5

The decision, document, record or operational action the new system must make easier.

6

Constraints that cannot be ignored: security, plant ownership, hosting, legacy dependencies, devices, network or support capacity.

Practical questions

What buyers usually need clarified

Do we need a complete specification before speaking to INESSOFT?

No. A current machine signal, stoppage record or production report, a real failure example and access to the people closest to the work are more useful than a polished but speculative requirements document.

Will this require replacing the existing system?

Not automatically. The first responsibility is to establish whether the problem should be solved by stabilising, integrating, extending, replacing one component or building a separate support layer.

Can the first phase be small?

Yes. A strong first phase should control one meaningful workflow or risk end to end, while leaving a clear path for later modules. Small is useful when it is operationally complete, not when it is merely a visual prototype.

How is scope kept from expanding uncontrollably?

The system boundary, primary users, source records, exception paths, outputs and explicit exclusions are agreed before build work expands. New discoveries are separated into current-phase necessities and later opportunities.

What makes this different from generic app development?

The work starts from the operation: physical events, business records, failure modes, ownership, evidence and management decisions. Screens and technology choices follow that model rather than defining it.

Next step

Bring the real machine signal, stoppage record or production report, not a polished brief.

A useful first step is to show INESSOFT the current machine signal, stoppage record or production report, explain where it breaks down and identify the business consequence. From there, the work can be separated into diagnosis, first-phase scope and an implementation path without pretending every problem needs a giant replacement project.

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