Industrial production data risk level assessment method and system

The invention relates to an industrial production data risk level assessment method and system, and relates to the technical field of deep learning, and the method comprises the steps: obtaining industrial production data; the industrial production data is generated by industrial production equipment; storing the industrial production data into a corresponding database according to the security level of the industrial production data; the industrial production data is divided into general data, important data and core data according to security levels; acquiring monitoring information of industrial production data; the monitoring information is corresponding flow information or log information when the database is accessed; and inputting the monitoring information into the trained classification convolutional neural network model to obtain the risk level of the industrial production data corresponding to the monitoring information. According to the invention, the classification convolutional neural network mo