Concrete dam long-term operation safety early warning method

Abstract

The invention discloses a concrete dam long-term operation safety early warning method which comprises the following steps: selecting key monitoring parts and measuring points according to the workingcharacteristics and damage types of a concrete dam, grading the measuring points with reliable measured values, and drawing up dam safety early warning indexes according to the measured value data ofthe concrete dam; and carrying out safety early warning on the concrete dam by adopting a comprehensive early warning system of measuring point grading and considering the spatial correlation index.Whether the dam is in a safe operation state or not is rapidly evaluated, analyzed and early warned through the real-time monitoring data of the concrete gravity dam; and dam monitoring value abnormality is discovered in time according to the importance levels of the measuring points and the index association relationship, the dam operation warning condition is identified, and support is providedfor rapid safety early warning of long-term operation of the concrete gravity dam and management scheduling in response to the warning condition.

Description

technical field [0001] The invention relates to dam safety monitoring and operation early warning technology, in particular to a long-term operation safety early warning method for concrete dams. Background technique [0002] At present, the main methods for long-term operation safety evaluation of gravity dams include expert experience method, historical data analogy method, event tree analysis method, logical reasoning based on fault tree method, etc. In the past conventional dam safety evaluation, often focus on The status of the dam safety influencing factors and their impact on the dam structure, while ignoring the original monitoring data fed back by the dam safety monitoring system. In fact, the original monitoring data can not only effectively reflect the change process of the physical quantity of the dam under various loads, but also reflect the characteristics of the dam's own structural behavior and the change law of the external environmental load, especially rev...

AI Technical Summary

Problems solved by technology

At present, due to the large number of reservoir and dam safety monitoring projects, the amount of monitoring data obtained is very large. Under normal circumstances, the monitoring data needs to be collated and analyzed by staff or regularly commissioned scientific research units. Therefore, it usually takes a long time to obtain relevant analysis results. For a period of time, the monitoring data and analysis results cannot be applied to the operation management and safety warning of the dam in time

Most of the existing domestic safety monitoring systems for concrete gravity dams can realize the automatic collection of real-time monitoring data of the dam, but the analysis of the monitoring data still relies on manual work, which requires a lot of human resources and takes a long time

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