The invention discloses a digital twin intelligent test run
system based on a marine medium-speed
diesel engine and a monitoring method, relates to the technical field of monitoring, and is used for solving the problems of degeneration identification
lag and
low emission early warning precision of an oil
injector. The
system comprises a multi-source heterogeneous data preprocessing module and a running state intelligent diagnosis module. The multi-dimensional
data acquisition module is used for acquiring in-
cylinder pressure,
crankshaft torsional vibration and transient air-fuel ratio signals to construct multi-dimensional data vectors, and the multi-dimensional
data acquisition module is used for analyzing
combustion fluctuation characteristics based on an attention mechanism LSTM (
Long Short Term Memory) network, identifying early deterioration of an oil
injector and outputting an oil injection consistency coefficient and a fault type identifier. The method comprises the steps that according to an oil injection consistency coefficient,
electromagnetic valve response delay and
combustion parameter correlation are tracked, a degradation trend is predicted, and emission early warning is generated; and according to prediction and early warning results,
fuel injection compensation parameters are dynamically adjusted in the digital twinborn model, a recursive least square method is adopted to identify
combustion parameters and feed the combustion parameters back to an
electric control unit, and self-
adaptive optimization and closed-
loop control in the test run stage are achieved.