01
Process data
Historian or real-time tags for the variables that define the process objective, with units, timestamps, quality flags, engineering ranges and a named owner.
Integration requirements
Good integration starts with clear boundaries.
A useful plant AI system needs more than a model. It needs trustworthy signals, an approved interface, an operating owner and a safe response when data or confidence is not available.
Before implementation
What the site typically brings.
02
Visual data
Camera locations, field of view, lighting, frame rate, network path and representative examples of normal, abnormal and difficult conditions where computer vision is required.
03
Control interface
An approved read/write boundary through the site PLC, DCS or PCS, including setpoint limits, rate limits, permissives, interlocks, manual fallback and change-control ownership.
04
Network and security
A site-approved deployment location, segmented network path, identity and access model, firewall rules, patching approach, remote-support policy and data-retention requirements.
05
Operating context
Process descriptions, equipment constraints, operating procedures, alarm philosophy, shift handover practices and the site definition of a successful outcome.
06
Validation data
Historical events, labelled examples, laboratory or reference measurements, maintenance periods and a planned live validation window that covers the conditions that matter.
Control boundary
Connect to the system of record, not around it.
Minealytics outputs can be exposed for monitoring, sent as recommendations, or connected to approved targets and actions. The exact boundary is defined per use case and site.
Read path
Historian, PLC, DCS, PCS, cameras and other approved sources provide the evidence used by the application.
Decision path
The application publishes measurements, forecasts, alarms, recommendations or bounded targets with a known status and timestamp.
Actuation path
Where control is approved, the site control system enforces limits, permissives, rate changes and fallback behaviour. Safety instrumented functions remain independent.
Handover checklist
A deployment is ready when the operating team can own it.
- ✓Signal dictionary and data-quality checks are agreed.
- ✓Model outputs, confidence, latency and failure states are visible to operators and engineers.
- ✓Control limits, approval steps and fallback behaviour are documented.
- ✓Performance is measured against an agreed baseline, not only model accuracy.
- ✓Ownership is clear for alarms, retraining, access, patching and operational change.
Start with a signal and control workshop.
The first practical step is to map the process objective, available signals, control boundary and evidence needed to prove value safely.
Discuss integration