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安全的室内水位监测与时间超分辨率和增强的Yolov5
Sui Guo1, Jiazhi Huang1, Yuming Yan1
1China Yangtze Power Co., Ltd., Yichang 443000, China.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
本研究提出了一个可靠的室内水位监测在水力发电厂的新框架. 它使用超分辨率和改进的Yolov5模型,以确保在恶劣的照明和雾等挑战性条件下保持准确.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
背景情况:
- 安全和高效的水位监测对于智能水电站管理至关重要.
- 现有的方法在具有挑战性的室内环境中失败,灯光不好,水蒸气和狭窄的空间.
研究的目的:
- 为水电厂开发一个强大的室内水位监测框架.
- 在低于最佳条件下克服现有方法的局限性.
主要方法:
- 集成一个时间超分辨率增强模块用于低分辨率图像处理.
- 实施了改进的,轻量级的Yolov5模型,其中有一个小规模的特征映射分支,用于实时检测.
主要成果:
- 该框架在各种条件下 (白天,夜晚,雾,湿地) 实现了高精度和可靠性.
- 实时监控和精确检测是通过增强的Yolov5模型实现的.
- 识别速度达到了O (n),证明了运营效率.
结论:
- 拟议的框架为水电厂的室内水位监测提供了一个强大的解决方案.
- 它为智能水电系统的安全和应急管理提供了至关重要的支持.
- 适合与新兴智能系统集成,如HT-for-Web分析软件和预警平台.
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