基于视觉图像识别的山洪水位流量监测技术与设备研制
The Development of Mountain Flood Water Level and Flow Monitoring Technology and Equipment Based on Visual Image Recognition

面对传统山洪灾害监测方法在复杂环境下的局限性，本文提出一种基于视觉图像识别技术的非接触式山洪水位流量监测设备。该设备采用人工智能和时空图像视频分析技术，通过高清红外摄像头非接触式采集图像，结合水位智能识别及山洪流速流量测算模型进行实时监测。该设备在河南栾川山洪灾害试验基地多个站点成功应用，应该结果显示：相比传统方法，实现了更高效、稳定且精准的监测效果，为山洪灾害防治提供了重要的数据支持。研发出的非接触式监测设备在山洪监测中具有显著优势，有助于提升监测安全性、时效性和自动化水平，降低山洪监测成本，值得进一步推广应用。
In response to the limitations of traditional monitoring methods for mountain flood disasters in complex environments, this paper proposes a non-contact mountain flood water level and flow monitoring device based on visual image recognition technology. The device employs artificial intelligence and spatiotemporal image video analysis techniques, collecting images non-invasively through high-definition infrared cameras. Combined with intelligent water level identification and a mountain flood velocity and flow calculation model, it conducts real-time monitoring. Successful applications at multiple sites in the Henan Luanchuan Mountain Flood Disaster Experimental Base have shown that compared to conventional methods, the device achieves more efficient, stable, and accurate monitoring results, providing crucial data support for mountain flood disaster prevention and control. The non-contact monitoring device developed has significant advantages in mountain flood monitoring, contributing to enhanced safety, timeliness, and automation levels, as well as reduced monitoring costs. It is worthy of further promotion and application.