District power network equipment abnormal alarm signal association analysis and diagnosis method

The invention discloses a district power network equipment abnormal alarm signal association analysis and diagnosis method in the field of automation of scheduling of electric power systems. According to the method disclosed by the invention, the weather situation of a plant station region at which abnormal alarm information is located can be automatically identified so as to determine the information processing mode. The method disclosed by the invention has the beneficial effects that by realizing intelligent association analysis and auxiliary decision making of the equipment abnormal alarm information under the real-time state, and performing playback on historical alarm information and performing real-time treatment on manual set information under the research state, the abnormal treatment time is greatly reduced, the incidence of accidents is reduced, a real-time, rich and intelligent auxiliary decision-making support is provided for regulation and control staff, and the safe, high-quality, economical and stable operation of an electric fence is further ensured.