Recognition of gross error of dam monitoring data based on image processing technology
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
In order to realize the longterm and stable service of the dam and avoid the influence of gross errors in the monitoring data on the dam safety monitoring results, it is necessary to eliminate the gross errors in the monitoring data. Because the current gross error recognition method can still cause the gross error to be missed or misjudged, an automatic gross error recognition method based on image processing technology by imitating the process of manual data gross error recognition and using a programming language. T he scatter map drawn according to the monitoring data is processed by Gaussian blur and binarization, the main trend line is extracted, and the gross error in the monitoring data is identified and eliminated. The monitoring data of a real dam are selected, the gross error is identified, and the results are compared with those of the traditional 3 identification criteria. The results show that: the recognition effect of the method is more significant, the applied met hod avoids the false negatives of gross errors and eliminates gross errors more tho roughly, in addition, the complex correlation coefficient of the statistical model obtained by the method is 0. 999, while the standard dev iation is 0. 192, which shows that the accuracy of the model is higher and the model is more in line with the actual situation of the project. Therefore, the method has a certain engineering application prospect and practical value.
Keywords:
Project Supported:
Clc Number:
Mobile website
® 2024 All Rights Reserved
冀公网安备13010502002656号
冀公网安备13010502002656号