Fault depth diagnosis method based on real-time analysis of multi-dimensional data of power grid equipment

The invention provides a fault depth diagnosis method based on real-time analysis of multi-dimensional data of power grid equipment, which comprises the following steps: acquiring real-time alarm information, and screening out the real-time alarm information meeting a depth diagnosis condition; carrying out keyword analysis on the screened real-time alarm information, determining a fault equipment type, and judging whether the fault equipment type needs to start a subtask of a fault diagnosis strategy or not; if yes, a fault diagnosis general task and a fault diagnosis sub-task corresponding to the fault equipment type are started in sequence, and diagnosis is carried out according to a fault alarm signal corresponding to the real-time alarm information; and in combination with the diagnosis result and the associated section information corresponding to the fault equipment type, generating a power grid fault diagnosis report and pushing the report to a mobile terminal of operation and maintenance personnel. A