Abstract: A novel visual monitoring method for power grid operation risks has been studied and designed to address the issue of monitoring the operating conditions of a power grid. Firstly, a new type of equipment is designed to monitor the operating conditions of the power grid by collecting operation data of power equipment in the grid. Sampling and holding circuits as well as voltage stabilizing circuits are added to the conventional sampling circuit so as to achieve all-weather monitoring of power grid operation. Secondly, the operating conditions of the power grid is identified based on data integration, and a large amount of power grid operation data is processed based on the methods including normalization and wavelet analysis. The probability density function of the data network is used to determine whether a fault occurs in the power grid. Finally, the running data is recursively processed to visualize it. The experiment shows that this method possesses a strong fault recognition ability with a fault localization error controlled at around 5 %.