The invention discloses a digital twin enabling intelligent pump
station preventive operation and
maintenance system. Comprising a dynamic twin construction module, a multi-source heterogeneous multi-
modal data acquisition module, an
edge computing and cloud
collaboration module, an equipment health degree evaluation module, a
predictive maintenance decision module, a cross-
system data fusion module, a self-evolution
knowledge graph module, an intelligent diagnosis and early warning module, a self-adaptive maintenance decision module and a man-
machine collaboration interaction module. And the dynamic twin construction module comprises a physical-virtual synchronous calibration mechanism and an equipment degradation parameter dynamic updating mechanism. According to the method, the limitation problem of a traditional
static model is solved, the method can adapt to nonlinear changes under complex working conditions, the comprehensive judgment and prediction capability of the
system on the
equipment state can be enhanced, the energy utilization efficiency is improved, the
energy consumption is reduced, the decision and
verification mechanism is perfected, and the
data acquisition and
processing problem is improved; the problems of timeliness and flexibility of the model are solved, and the computing architecture and the response capability are optimized.