Disclosed are a self-attention-based speech quality measuring method and system for real-time air traffic control, including following steps: acquiring real-time air traffic control speech data and generating speech information frames; detecting the speech information frames, discarding unvoiced information frames of the speech information frames, generating a voiced long speech information frame; performing mel spectrogram conversion, attention extraction and feature fusion on the long speech information frame to obtain a predicted mos value.