| Deformation monitoring is a very important branch of the study of engineering surveying, and it has vital significance in the field of modern engineering construction, disaster prevention and scientific research etc.Distortion monitor data processing is executed in definite reference system. Therefore, selected benchmark is an important task in the course of monitoring. The stability analysis is usually carried out by the statistical analysis such as the method of mean gap. Actually the stability is a vague concept, so it should be analyzed by the technology of fuzzy mathematics. For this reason, the theory and method of approaching degree between fuzzy sets, fuzzy clustering analysis and subordinate function etc in fuzzy mathematics are quoted. Take a level network as an example, the practical problem of the data obfuscation and steady degree of the points is investigated in detail. The stability fuzzy analysis method has obvious superiority compared to the statistical method, it can detect the minute contents of the point change.Prediction is one of the most significant purposes of deformation survey; it can provide the basis for safety monitoring. Varieties of methods are used in distortion analysis. Time series method as a sort of method to perform dynamic deformation analysis reveals the regularity of stochastic series from statistical autocorrelation. Based on the time-series model and its characteristics, and combined with the actual monitoring data for the road and crossing bridge deformation due to shield excavation in the urban subway construction, the paper discussed the time series modeling problem in distortion analysis and made up relatively optimal forecasting model. To fix the effective model parameters, the less important parameters model is put forward. Simultaneously, the modeling problem between two sequences has also been discussed preliminarily by sequences cointegration relation, and the model is more optimized.
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