Multi-point combined forecasting method for deformation condition of high dam

Abstract

The invention discloses a multi-point combined forecasting method for a deformation condition of a high dam. The method includes steps of (1) selecting deformation monitoring data of multiple measurement points in a high dam project and denoising by adopting a wavelet soft threshold denoising method; (2) determining a model input factor and performing main component analysis on the selected factorand extracting main components; (3) performing normalization processing on data of the multiple points subjected to denoising and the main components and dividing into training samples and forecasting samples; (4) according to the training samples, performing optimization on parameter C and parameter Sigma of a SVM (Support Vector Machine) by utilizing improved particle swarm optimization and implementing training of the SVM; (5) according to the forecasting samples, performing sample forecasting by using a well-trained model and performing model forecasting effect evaluation. According to the invention, problems of low forecasting precision, large model size, low operation speed, long calculation time and forecasting with single measurement point of a traditional method are solved and advantages of high precision, short handling period, multi-measurement-point time-space combined forecasting and the like are achieved.

Description

technical field [0001] The invention relates to a joint prediction method for multi-point deformation properties of high dams, and belongs to the field of high dam engineering safety monitoring. Background technique [0002] Water conservancy projects, especially high dam and large reservoir projects, have brought huge social and economic benefits in flood control, power generation, shipping, water supply, irrigation, breeding, tourism, etc., and made great contributions to the development of the national economy. However, because people do not fully understand the factors that affect the safety of high dams, such as natural forces, material properties, structural mechanisms, construction control, and man-made damage, many dams are in a state of disease. If the hidden dangers are not discovered and treated in time, It is very likely to cause the overall or partial catastrophe of the dam or even a dam failure, causing serious economic losses, loss of life and property to the ...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a joint prediction method for multi-point deformation behavior of high dams, which solves the problems of low prediction accuracy, large model, slow operation speed, long calculation time and single measurement of the traditional method. It has the advantages of high precision, short processing cycle, high efficiency, multi-point spatio-temporal joint forecasting, etc.

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