Water conservancy projects have the functions of flood control, power generation, water supply, and irrigation, and play a vital role in the survival and development of human society

Aiming at the problem of image quality degradation caused by turbid water, non-uniform illumination, and scattering effect in the surface defect detection of underwater concrete structures, firstly, the concrete surface images under different shooting distances, different sediment concentrations, and different illumination conditions were collected through laboratory experiments to simulate the concrete surface images of a reservoir dam with higher sediment concentration and deeper water depth. On this basis, an underwater image enhancement algorithm named DIVE (Dynamic Illumination and Vision Enhancement) is proposed. DIVE solves the problems of luminance unevenness and color deviation in stages through the illumination–scattering decoupling processing framework, and combines efficient computing optimization to achieve real-time processing. The lighting correction of Gaussian distributions (dynamic illumination module) was processed in stages with suspended particle scattering correction (visual enhancement module), and the bright and dark areas were balanced and color offset was corrected by local gamma correction in Lab space and dynamic decision-making of G/B channel. Through thread pool parallelization, vectorization and other technologies, the real-time requirement can be achieved at the resolution of 1920 × 1080. Tests show that DIVE significantly improves image quality in water bodies with sediment concentration up to 500 g/m³, and is suitable for complex scenes such as reservoirs, oceans, and sediment tanks.

The deformation measurement data of the bank slope survey hole is one of the typical physical quantities characterizing the safety state of the bank slope. The measurement results of the inclinometer hole are two-way horizontal displacements perpendicular to each other at different depths, and the traditional two-dimensional analysis diagram can’t show the vectorization of the horizontal displacement of the inclinometer hole well, neither highlighting the change of displacement with time nor showing the direction of displacement. In this paper, the measuring principle of inclinometer hole is introduced firstly, and then the monitoring data of several inclinometer holes on the back bank slope of an arch dam is taken as an example to visualize, and the advantages and disadvantages of traditional two-dimensional analysis chart, three-dimensional process analysis chart and spatial displacement analysis chart in visualizing the measuring results of inclinometer hole are compared and analysed. It has certain reference significance for the analysis of the monitoring results of inclinometer holes.