Research and Design of Power Equipment Operation and Maintenance System Based on Big Data Technology

With the passage of time, especially the arrival of the information age, the impact of electricity in human society is more and more huge. Not only production and scientific research rely on electricity, but also people's daily life, work and various activities depend on electricity. Therefore, the power security work becomes particularly important, and the power equipment substation is an important part of the power grid. The inspection and operation and maintenance of power equipment is the basic way to ensure the safety and normal work of power equipment. The traditional planned operation and maintenance method of power equipment can significantly reduce the failure rate of power equipment, but there are problems such as insufficient or excessive maintenance, blind maintenance and so on. In order to improve the efficiency of power equipment maintenance, this paper designs a set of power equipment maintenance system based on big data analysis technology of power operation and maintenance. According to a large number of operation data of power system accumulated by power equipment, including various equipment status monitoring, maintenance and other data, the system can diagnose, optimize and predict the operation of the whole power grid equipment through key technology of big data analysis, which can reduce the maintenance cost, improve the actual effect of maintenance, improve the intelligent level of operation and maintenance of power equipment, and provide guarantee for the safe, reliable, economic and efficient operation of the network.