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Aircraft assembly is a very important link in aviation manufacturing. Its heavy workload and long assembly cycle determine the overall quality of aircraft to a large extent. In order to solve the problem that the local strain affects the stable operation of aircraft due to the operation and process in the assembly process. An aircraft assembly strain detection method based on Fiber Bragg grating (FBG) was proposed. The calibration sensitivity of FBG was 0.35pm/με , and the linearity of fitting equation was higher than 0.99. The packaged FBG was arranged in the key parts of the assembly, and the change of its central wavelength in the assembly process was obtained by FBG demodulation system. An improved algorithm based on Ensemble Empirical Mode Decomposition (EEMD) and Singular Spectrum Analysis (SSA) is designed. The noise and vibration signals in the assembly signal are stripped, and the effective strain signal is extracted, and the local strain detection in aircraft assembly is finally realized.