The invention discloses a water
electrolysis hydrogen production electric
pile performance evaluation method, and relates to the field of electric
pile performance evaluation, and the method comprises the steps: S1, collecting operation parameters through a
sensor system, carrying out preprocessing and
time sequence alignment, and constructing a real-
time data set; s2, according to the real-
time data set and historical data, a stack
health index is calculated through multi-layer feature hierarchical fusion and a
machine learning model; s3, on the basis of the real-
time data set, calculating a composite evaluation index parameter containing a
safety margin factor and a performance degradation rate; s4, on the basis of the stack
health index, analyzing in combination with the composite evaluation index parameters, and determining the stack performance state grade; and S5, extracting a maintenance suggestion in a preset level and
maintenance strategy mapping relation based on the
pile performance state level, and transmitting the maintenance suggestion to a
visual interface for display through the cloud platform. Through multi-layer
feature fusion and
machine learning, the method achieves the precise evaluation of the
health index of the galvanic pile, dynamically monitors the fault early warning, automatically generates an intelligent
maintenance strategy, optimizes the performance, and prolongs the service life of equipment.