Application of the threshold and best tree based on wavelet analysis in the intelligent diagnosis on anchor poles

With the wide application of anchor technology in geotechnical engineering, quality problems of anchor frequently occur. Quality inspection of anchor poles becomes more and more important. Wavelet analysis can finely distinct the normal and abnormal signals, and detect the weak signals by its characteristic analysis of local expansion and compression, which makes the intelligent diagnosis of defective anchor poles possible. Taking the project of “commercial buildings and museum in Marine Sports School of the State General Administration of Sports” in Qingdao as an example, this paper compares the thresholds and best trees between the good anchor and defective anchor pole by using wavelet analysis toolbox of MATLAB. The paper shows that intelligent diagnosis of anchor poles based on the thresholds and best trees is not only desirable and accurate, but also provides important basis for the site construction guidance and check acceptance work.