Abstract:With the deepening of the reform of the electric power system, the structure of the electric side industry is changing fundamentally. It is an indisputable fact that the power grid enterprises are confronted with competition and impact. In order to ensure the good development of the power grid enterprises at all levels in the new form, improve the market competitiveness and reduce the risk, it is urgent to deepen and improve the current risk prevention and control system. In this paper, based on the practical application of power grid enterprises, this paper puts forward the technology of large data mining as a technical means to explore the potential relationship between various indicators and establish a risk prevention and control system. According to the change trend of the related index, the potential risk and location management loopholes are found, and the risk is intervened before the occurrence of the foreign movement, so as to provide effective means for the decision of the enterprise. The correctness of the scheme is verified by data mining analysis technology such as correlation analysis and regression analysis. At present, the scheme has been pilot in the related grid enterprises and has achieved remarkable results. In addition, this paper has made a new exploration in mining index association, potential risk, location management loopholes and so on, and get some useful inspiration for the reference and reference of the related grid enterprises.