Dam deformation condition diagnosis method based on multi-measurement point feature information

Abstract

The invention discloses a dam deformation condition diagnosis method based on multi-measurement point feature information. The method comprises the following steps: (1) extracting edge features of a plurality of measurement point data, calculating the similarity of multiple layers of extraction information, and calculating the similarity between each two monitoring data; (2) establishing a relevancy matrix, calculating a relevancy mean and standard data of each monitoring data, and selecting data with standard data being equal to 0 and greater than 0.5 as modeling data; (3) establishing a relation mode of multiple measurement points on the modeling data to obtain a significance level and a diagnosis interval; and (4) performing diagnostic analysis on the monitoring data to obtain a diagnosis result significance level. The dam deformation condition diagnosis method provides decision support to master the dam deformation condition and ensure the safe operation of dam engineering.

Description

technical field [0001] The invention relates to a diagnosing method for the operating behavior of a dam, in particular to a diagnosing method for the dam deformation behavior based on multi-measuring point deformation monitoring data. Background technique [0002] In order to grasp the safety state during the operation of the dam, and to avoid the loss of monitoring data due to the failure of individual measuring points during the long-term operation monitoring process of the dam, the same type of multiple sensors are usually buried in some important structural parts or sections of the dam even redundant deformation measurement points. With the construction of large-scale water conservancy projects and the continuous emergence of various new monitoring and detection technologies, a large amount of deformation monitoring data has been accumulated in the process of concrete dam monitoring. Behind these deformation monitoring data are hidden many important dam operating perform...

AI Technical Summary

Problems solved by technology

However, due to the particularity of the dam structure and the complexity of the working environment, the deformation measurement points are affected by the external environment and interfered by many factors such as monitoring, data transmission noise of the detection instrument, and the deformation monitoring data reflect the real deformation of the dam. There are deviations in the state, and some monitoring data are redundant monitoring information; in addition, the diagnostic results for a single measuring point are easily interfered by various unknown factors, and the accuracy is low; when multiple measuring points are diagnosed separately, there will be diagnostic errors. The phenomenon of inconsistent results; comprehensive diagnosis of multiple measuring points will mix the information of multiple measuring points together, unable to reflect the independent information displayed by each measuring point

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