Prediction method for safety assessment of coal mill

The invention relates to a prediction method for safety assessment of a coal mill. The method comprises steps of extracting key factor variables and corresponding expert scores from a historical database to form an original data set; performing data clustering simplification on the original data set; carrying out dimensionality reduction on the key factor variables under each cluster based on a principal component analysis strategy, and obtaining principal component factors under each cluster; combining principal component analysis and a long short-term memory neural network, taking principal component factors of the training samples as input variables of the long short-term memory neural network, taking corresponding coal mill operation safety scores as output variables, and establishing a prediction model of coal mill equipment safety evaluation; and evaluating the coal mill operation safety of the coal mill operation data based on the prediction model. Real-time online safety evaluation can be carried out