Water conservancy safety monitoring system based on dynamic vision

By using dynamic vision technology, combined with illumination assessment, scene classification, region segmentation, contrast enhancement, and multi-source data fusion, the problems of image quality and recognition accuracy of water conservancy safety monitoring systems in complex environments have been solved, achieving efficient and reliable water conservancy safety monitoring around the clock.

CN121787732APending Publication Date: 2026-04-03滨海县翻身河闸管理所
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Patent Information

Application Number
CN202511990566.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-26
Publication Date
2026-04-03

AI Technical Summary

Technical Problem

Existing water conservancy safety monitoring systems suffer from a significant decline in image quality and recognition accuracy under complex and dynamically changing lighting and environmental conditions. They also lack adaptive optimization and deep fusion capabilities of multi-source information, resulting in unstable monitoring performance and insufficient reliability.

Method used

A dynamic vision-based water safety monitoring system is adopted, which achieves adaptive image enhancement and multi-source data fusion through modules such as illumination assessment, scene classification, region segmentation, contrast enhancement, feature alignment and fusion. Combined with deep learning recognition and feedback optimization, it improves image quality and recognition accuracy.

Benefits of technology

It significantly improves image quality and defect recognition accuracy under complex lighting and environmental conditions, enhances the system's environmental adaptability and reliability, and enables all-weather automated monitoring.

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Abstract

The invention belongs to the technical field of image contrast, particularly relates to a water conservancy safety monitoring system based on dynamic vision, and aims to solve the problems that in an existing water conservancy safety monitoring process, the image quality and the recognition accuracy are remarkably reduced under complex and dynamically changing illumination and environment conditions, and the image quality is poor. In order to solve the problems of unstable monitoring performance and insufficient reliability caused by the lack of adaptive optimization and multi-source information deep fusion capability, the invention provides the following scheme: the system comprises a data acquisition module, the data acquisition module is connected with an illumination evaluation module, the illumination evaluation module is connected with a scene classification module, and the scene classification module is connected with a data processing module. According to the invention, through a dynamic vision technology, adaptive image enhancement and multi-source data fusion of a water conservancy project under complex illumination and environment conditions are realized, the image quality and defect identification accuracy of all-weather monitoring are significantly improved, and the environmental adaptability and reliability of the system are enhanced.
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