Air traffic control simulation abnormity detection method based on major constituent analysis and device

The invention provides an air traffic control simulation abnormity detection method and a device. The method comprises steps that, simulation data is acquired, multiple types of simulation parameters inputted on a radar control simulation machine by at least one control member are acquired through the radar control simulation machine; non-dimensionalized processing on the data is carried out, non-dimensionalized conversion for the acquired simulation parameters is carried out, and covariance matrix operation on multiple sets of parameters after non-dimensionalized conversion is carried out; major constituents corresponding to each set of simulation parameters after non-dimensionalized processing are sequentially multiplied with a preset factor, and accumulation and summation are carried out; an integrated index value is acquired according to a value acquired through accumulation and summation; the integrated index value of each set of data after major constituent analysis can be acquired; the last data after integrated index value ranking are marked as abnormal data according to integrated index value ranking managed by multiple control members.