Power grid safety monitoring method and system based on neural network, and electronic equipment

The invention provides a power grid safety monitoring method and system based on a neural network and electronic equipment. The method comprises the following steps: acquiring various initial data generated in the operation and management process of a power enterprise; performing word segmentation on each piece of initial data to obtain a three-dimensional feature matrix corresponding to each piece of initial data; inputting the three-dimensional feature matrix corresponding to each piece of initial data into a recurrent neural network model to obtain a security feature corresponding to each piece of initial data; and obtaining the security level of each piece of initial data according to the security feature corresponding to each piece of initial data, the desensitization feature of each piece of initial data and the encryption feature of each piece of initial data, and performing security monitoring on each piece of initial data according to the security level of each piece of initial data. According to the