The application discloses a three-level architecture-based intelligent
inspection method and device for an oilfield
station, and relates to the technical field of oilfield gathering and transferring
station inspection, which comprises the following steps: S1, the
physical structure of the current oilfield gathering and transferring
station is split into a region layer, a device layer and a point layer, an index table is established through a hash index to construct a three-
level mapping table, the monitoring devices are multi-homedly bound, the sequence of the region layer, the device layer and the point layer is used to dequeue, a round of inspection sequence is constructed, a mechanism equation of a key process is constructed in a model layer and is linearized online to output a
prediction residual error, the confidence is improved when the alarms are consistent, and when conflicts occur, a hierarchical Bayesian method is used to perform prior correction and threshold self-
adaptation, and a physical event is output when the alarm is confirmed; and S2, multi-source alarms are generated based on sensor
raw data. The application shortens the fault positioning path and improves the diagnosis accuracy by systematically managing the station objects, integrating multi-source alarms and adaptively determining faults.