The invention belongs to the technical field of training
data processing, and particularly provides a
strength training intelligent monitoring and anomaly recognition method and
system and a storage medium, and the method mainly comprises the steps: obtaining a target and real-time training parameter, calculating the training density and an intermittent and strength
coupling factor, and obtaining a training result; and generating a dynamic compensation coefficient and an initial intensity correction gradient through a
random forest, carrying out constraint, decomposing a deviation rate into a trend term and a
mutation term by adopting an
attention network, distributing a weight to enhance the trend term, and outputting an efficiency index and a
risk level according to stability and a
peak value. The problems that in the prior art,
strength training mostly adopts a fixed parameter mode and is mainly executed according to a preset plan, and it is difficult to accurately evaluate the training efficiency and recognize abnormal risks can be effectively solved, the training efficiency can be accurately evaluated, the abnormal risks can be effectively recognized, the training scientificity is remarkably improved, the
training effect is optimized, and the training
process safety is guaranteed.