Abstract
In recent years, information technology has been widely used in the construction quality control of hydropower stations, and a series of construction management systems based on the internet of things (IOT) have been produced. However, the existing systems are usually aimed at specific construction quality control factors, leading to the independence of all kinds of monitoring information, which also makes it impossible to directly evaluate the causes of quality problems after they occur. Manual multifactor analysis and evaluation are still needed. Based on a roller compacted concrete (RCC) gravity dam as an example, the construction quality control method is achieved by using WebGIS technology, image recognition technology, voxelization technology, and data mining analysis, which can quickly evaluate the causes of quality problems and integrate all kinds of monitoring information of different orders of magnitude into a presentation scene. This method makes the project quality management process more effective and cooperative. This study contributes to the existing body of knowledge of the quality control method based on informatization in construction.
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