Analysis method and system of river sediment deposition status in water conservancy projects based on big data

By comprehensively considering the shape, flow data and soil conditions of the river base, the accuracy of silt silt analysis in the existing technology is solved, efficient prediction and early warning of silt silt state, and the scientific nature of river management and ecological environment protection are improved.

CN120337828BActive Publication Date: 2025-08-22JIANGXI HANCHANG CONSTR ENG CO LTD +1
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Patent Information

Application Number
CN202510822682.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-19
Publication Date
2025-08-22
Estimated Expiration
2045-06-19

AI Technical Summary

Technical Problem

The existing technology lacks multi-factor comprehensive consideration in river silt analysis, resulting in inaccurate prediction results, and backward data acquisition methods, making it difficult to achieve real-time and comprehensive monitoring.

Method used

A big data-based method is adopted to comprehensively consider the shape of the river bottom, water flow data and soil conditions, and silt silt difficulty analysis, shedding abnormality analysis and secondary sediment safety analysis are carried out, and the silt silt status prediction is carried out in combination with the early warning module.

Benefits of technology

It improves the accuracy of silt silt analysis and the scientific nature of river channel management, reduces the risk of silt silt, and promotes ecological and environmental protection and sustainable development.

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Abstract

The present invention relates to the field of data management technology, and in particular to a method and system for analyzing the sediment deposition status of a river channel of a water conservancy project based on big data. The present invention performs sediment deposition difficulty analysis based on the bottom shape of the river and river flow data, performs sediment shedding anomaly analysis under the influence of river impact based on the river flow impact and the soil conditions around the river, performs sediment secondary deposition safety analysis based on the sediment shedding anomaly analysis results, predicts sediment deposition status based on the sediment deposition difficulty analysis results and the sediment secondary deposition safety analysis results, and issues sediment deposition status warning based on the predicted sediment deposition status, which helps to prevent and reduce the risks brought by sediment deposition, improves the scientific nature and effectiveness of river channel management, and promotes ecological environmental protection and sustainable development.
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