The invention discloses a
river management-oriented multi-parameter
water quality intelligent prediction method and a
river management-oriented multi-parameter
water quality intelligent
prediction system, relates to the technical field of environment monitoring and
artificial intelligence, and particularly discloses a
water quality intelligent
prediction system and a water quality intelligent prediction method. According to the
system, original water
quality monitoring data is cleaned and repaired through the missing value filling module, so that the
data integrity is ensured; performing deep
feature extraction and fusion on the multi-parameter water
quality data by using a
convolutional neural network (CNN) to generate high-dimensional
feature mapping; then, a bidirectional long-short-
term memory network (Bi-LSTM) model is adopted to carry out forward and backward bidirectional learning on the extracted
time sequence features, and a complex dynamic rule and a long-term dependency relationship of water quality parameter changes are accurately captured; and finally, an optimized
loss function module is introduced to minimize a training error, so that the prediction accuracy is further improved. According to the method, the problems of insufficient precision, high model calculation complexity and weak multi-parameter collaborative prediction capability caused by data missing in the existing
river water quality prediction technology are solved.