The invention discloses a deep-well pump operation performance online monitoring control method and
system, and particularly relates to the field of intelligent operation and maintenance of
industrial equipment.The deep-well pump operation performance online monitoring control method comprises the steps that a deep-well pump multi-
physics coupling digital twin is constructed and driven in real time, and a panoramic virtual
monitoring data set is generated; performing space-
time alignment and
feature fusion on the virtual data and the physical sensor data, and constructing a dynamic causal
knowledge graph by using a time-varying causal discovery
algorithm; when the performance is abnormal, a fault source is positioned through reverse reasoning along a map, unsupervised quantitative scoring of performance degradation is realized through improving an auto-
encoder, and an accurate diagnosis report is generated; based on a diagnosis report and a causal atlas prediction path, dynamically calculating a
safe operation toughness boundary, solving a multi-constraint problem in the boundary by adopting an improved optimization
algorithm, and generating a self-
adaptive control instruction; and comparing actual response data with predicted response data, and synchronously correcting a digital twin model, a causal map edge weight and boundary calculation logic through
Bayesian optimization and
association mining by utilizing cognitive deviation.