Red mud heavy metal content online prediction method, system and device and storage medium

The invention discloses a red mud heavy metal content online prediction method, system and device and a storage medium, and can be widely applied to the technical field of automatic measurement. According to the method, the neural network structure is determined according to the acquired data set, so that the set neural network structure can better predict data, meanwhile, the weight and the threshold of the neural network are optimized by adopting the genetic algorithm, the problem of randomness in selection of the connection weight and the threshold of the neural network is solved through the genetic algorithm, and the selection accuracy of the neural network is improved. The method comprises the following steps: firstly, optimizing a neural network to effectively improve the mapping capability, network convergence capability and learning capability of the neural network, then training the optimized neural network by adopting obtained data to improve the prediction precision of the neural network, and then predicting the content of heavy metals in red mud according to current red mud production data through the trained neural network. The red mud heavy metal detection period can be effectively shortened, and the detection efficiency is improved.