Menu

System design for physical AI: steam turbine condition monitoring that can never write to the DCS
📰

System design for physical AI: steam turbine condition monitoring that can never write to the DCS

DEV Community: machinelearning·Umar Bilal·2 days ago
#3oqV2hvy
Reading 0:00
15s threshold

This is the engineering summary of an open reference architecture. The paper, its object model as JSON and the model register are free to reuse under CC BY 4.0: https://codeatoms.ai/steam-turbine-condition-monitoring-pakistan/ . DOI 10.5281/zenodo.23365092 . The operator is described by class, never by name.

A combined cycle plant in Pakistan is rehabilitating a steam turbine and installing a new 280 MW, 20 kV hydrogen-cooled generator. The protection layer already trips the unit when bearing vibration reaches Zone C. The question the design answers is the one before the trip: can the shift operator see a developing excursion, with a prescribed action, while the bearing housing is still drifting up from its nominal 2.3 mm/s RMS?

1. Read the DCS, never write to it

The DCS is read through a hardware one-way egress device into a DMZ OPC UA collector. The platform gets process, alarm and vibration context and has no path back into the control network, so the existing trip philosophy is untouched.…

Continue reading — create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.