Brillouin optical time domain reflectometer/analysis (BOTDR/A) is one kind of important distributed optical fiber sensing technology. Using the BOTDR/A-based distributed optical fiber technology to detect deformation of pile foundation

the vast amounts of detection data need smoothing and denoising. The paper introduces most frequently used embedded techniques of the sensing optical fiber

the characteristics of detection data

the role of massive data smoothing and denoising on the detection data handle and analysis. We developed the concept and proposed the implementation process of the feature point compression algorithm (a new smoothing and denoising method). Based on data measured from practical engineering

the smoothing and denoising effect of the method is analyzed

and its applicability is also verified. The results show that the proposed method is simple and efficient in processing the data from pile foundation detection

compared with the conventional algorithm

it can smooth and denoise data without losing the characteristics trend of detected data

and can achieve satisfactory results as expected. It can be applied to the distributed data processing of optical fiber pile foundation detection.