Knowledge Graphs give Industrial AI traceable plant context
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.