| 基于Cascade R CNN算法的流域梯级电站水情自适应安全预警方法 |
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| 引用本文：戴宏伟，孙卫军.基于Cascade R CNN算法的流域梯级电站水情自适应安全预警方法[J].计算技术与自动化,2025,(2):147-153 |
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| 中文摘要:当前流域梯级电站水情安全预警过程中，只能利用单一的高层特征，虚假警报比较高。因此，提出了基于Cascade R CNN（级联网络结构）算法的流域梯级电站水情自适应安全预警方法。利用无人机采集流域梯级电站内的水尺图像后，通过直方图均衡化处理和暗通道去雾处理，加强水尺图像清晰度。运用全局阈值法对水尺图像进行分割，保留目标图像区域。依托于Cascade R CNN算法，设计包含特征金字塔网络、并行金字塔和多阈值检测器的水尺图像字符识别方法，自动识别出当前流域梯级电站水位情况。对比预先设置的水位阈值，得出水情自适应安全预警结果。实验结果表明：新研究方法预警结果的虚假警报比小于0.1，证明了其优越的水情安全预警能力。 |
| 中文关键词:Cascade R CNN 梯级电站 水情 图像处理 水位识别 安全预警 |
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| Adaptive Safety Warning Method for Water Regime of Cascade Hydropower Stations in Watershed Based on Cascade R CNN Algorithm |
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| Abstract:At present, in the process of water regime security early warning of cascade hydropower stations in the basin, only a single high level feature can be used, and false alarms are relatively high. Therefore, a Cascade R CNN (Cascade Network Structure) algorithm based adaptive security early warning method for river basin cascade hydropower stations is proposed. After collecting the water gauge image in the cascade power stations of the basin by UAV, the clarity of the water gauge image is enhanced through histogram equalization processing and dark channel defogging processing. The global threshold method is used to segment the water gauge image and retain the target image area. Based on Cascade R CNN algorithm, a character recognition method of water gauge image including feature pyramid network, parallel pyramid and multi threshold detector is designed to automatically recognize the water level of cascade hydropower stations in the current basin. Compared with the preset water level threshold, the results of water regime adaptive security early warning are obtained. The experimental results show that the false alarm ratio of the early warning results of the new research method is less than 0.1, which proves its superior water regime security early warning capability. |
| keywords:Cascade R CNN cascade power plants water regime image processing water level identification safety warning |
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