The invention discloses an intelligent self-adaptive
silt filtering
system and method for a pumped storage
power station, and belongs to the technical field of pumped storage power stations. The
system comprises a multi-parameter
water quality monitoring module, an intelligent self-adaptive filtering module, a hydraulic
cyclone enhanced separation module, a self-cleaning and
backwashing module and a central control and
data processing module. According to the method,
river sediment characteristics are monitored in real time, filtering parameters are dynamically adjusted through an
artificial intelligence algorithm, efficient
sediment interception is achieved by combining hydraulic
cyclone separation and multi-stage filtering, the problem of filtering medium blockage is solved through a self-cleaning mechanism, and meanwhile the self-
adaptive learning capacity is achieved so as to optimize
system performance. The system can significantly improve the filtering efficiency, reduce
energy consumption and operation and maintenance cost, adapt to complex
water quality working conditions, and guarantee safe and stable operation of key equipment of the pumped storage
power station.