The application discloses a power operation risk early warning method,
system, device and medium based on
big data, belongs to the technical field of operation risk management, and comprises the following steps: collecting multi-
source data, preprocessing, extracting data risk features, constructing a risk evolution path model based on the risk features; constructing a risk prediction model to predict
future risk changes and dividing risk levels, early warning according to the risk levels; and displaying real-time risk values of operation areas through a
visual interface and storing data. The application realizes real-time
dynamic management of power operation risks, overcomes the defects of single
data dimension analysis, insufficient risk transmission modeling and low real-time performance and prediction accuracy of traditional technologies, effectively improves the ability of power operation
risk identification, dynamic evaluation and accurate prediction, provides efficient decision support through hierarchical early warning and operation optimization scheme, and realizes efficient and safe early warning of complex power operation scenes.