Flatness Detection Method of Hydraulic Concrete Based on Underwater Laser Scanning Technology

Regular testing and quantitative evaluation of hydraulic concrete has become the key to ensure the safe operation of hydropower projects. However, the underwater environment poses difficulties and challenges for data collection and quantitative analysis of flatness inspection. Traditional detection methods such as physical contact measurement, acoustic measurement, and image measurement have limitations in measurement accuracy and collection density, making it difficult to efficiently detect and objectively evaluate the flatness of hydraulic concrete. This paper proposes a flatness inspection method based on underwater laser scanning technology. It contains three parts: flatness data collection, data processing and data analysis. The inspection method uses underwater 3D laser scanning technology for 3D data acquisition. The 3D data processing algorithm of data filtering, point cloud cropping, and plane fitting is designed. The Unflatness Area Ratio (Unflatness Area Ratio, UAR) index was proposed for the quantitative evaluation of flatness. Field application and validation in a power station in Sichuan on the guide wall of the stilling basin. Engineering application device is designed to acquire point cloud data of guide walls. The data processing algorithm is implemneted by 3D point colud processing library. The validity of the detection method is verified by data analysis and comparison of unflatness area ratio data. This method has the significance of engineering guidance, and has the value of popularization and application in major infrastructure such as hydropower station.