The development and growth of electronic systems are inseparable from the innovation of substation technology. Substations are the key to power transmission and distribution

so the safety of substations will have a direct impact on the stable operation of the entire power grid. In the operation and maintenance process of substations

it is necessary to analyze hidden dynamic hazards and take scientific early warning measures to ensure the reliability and safety of the power grid. This paper analyzes the potential safety hazards during the operation and maintenance of the power station

and puts forward dynamic analysis and early warning methods of data mining and intelligent algorithms. Real-time data monitoring technology

intelligent algorithm modeling and dynamic early warning methods are used to identify potential safety hazards and make early warnings to increase the fine and intelligent management of substation operation and maintenance.