TDengine IDMP

Global – October 27, 2026 -- An Industrial Knowledge Graph links assets, measurements, events, documents and procedures as connected entities. This gives Industrial AI more relevant context than raw document search, according to a TDengine explainer for OT architects.

Graph links symptoms to causes, checks and approved actions

Nodes cover equipment concepts, fault conditions, maintenance procedures, rules, documents and events. Links express relations such as causes, applies to, requires or precedes. A compressor alarm, for example, can be tied to its troubleshooting procedure, operating conditions and earlier investigation records.

Roller press case shows reuse of a hydraulic pressure investigation

A roller press shut down after hydraulic pressure fluctuated. The maintenance record captured the observed condition, a possible cause, the handling sequence, the pressure limit and required spare parts.

Global – October 27, 2026 -- Plants selecting an industrial data platform for AI should start with a single operational decision, such as whether a reliability engineer must review a compressed-air pressure drop within an hour, rather than with a list of AI features. That decision defines the required sources, history, context, access controls and response time.

Four data sources feed the compressed-air pilot

The example pilot investigates periods when header pressure falls while compressor energy use rises. It needs PLC compressor state and control values, historian pressure, flow and power trends, IoT vibration readings, and maintenance records. None of these sources has to be replaced; the test is whether the evidence can be found, understood, governed and accessed together at the necessary time scale.