FIELD NOTES FOR INDUSTRIAL ENGINEERING
Practical engineering notes on PLCs, SCADA, OT/IT integration, manufacturing data and industrial AI—for people who make systems work beyond the diagram.
The interesting failures often happen between the boxes.
EXPLORE BY DOMAIN
Choose the discipline closest to the problem you are solving.
RECENT THINKING
OPC UA is more than a protocol choice. Namespace design, information modeling, certificates, endpoint policy, update behavior and change management determine whether an integration remains maintainable.
Read article ↗PLC logic belongs in deterministic control, SCADA provides supervision and visibility, and MES adds production context. Clear boundaries and data contracts make the complete system easier to troubleshoot…
Read article ↗A useful industrial AI project can start small. It needs a narrow question, measurable value and disciplined execution.
Read article ↗Automation engineers do not need to become full-time data scientists to benefit from AI.
Read article ↗A digital twin is valuable when it helps engineers reason about a real system. AI can add learning and estimation without turning the twin into a visual demo.
Read article ↗AI can reduce the volume of security information an analyst must read, but OT actions still need controlled procedures.
Read article ↗ENGINEERING UTILITIES
Small calculators and utilities for work-time planning, EV energy estimates and everyday tasks. They are designed to make the arithmetic transparent—not to replace official guidance or professional judgement.
A SMALL PRINCIPLE
A system is not reliable because its happy path works. It is reliable when its failure path is understood, tested and recoverable.
A useful standard for PLC code, data pipelines and AI pilots alike.
