Abstract: The present invention relates to the technical field of disaster model experiment of underground engineering, and more particularly to an experimental system for surrounding rock crack evolution and water inrush disaster change in a tunnel excavation of a near-covered karst cave. The experimental system includes a base, an upper crossbeam, standing columns, an experimental cabin, guide rails, a tunnel excavation device and an experimental control system. By setting a tunnel excavation device instead of the traditional manual excavation experimental system, the step-by-step excavation of the tunnel is realized. A camera inside the tunnel mold collects real-time images of the whole process of tunnel excavation. The front side plate is separated from the whole experimental cabin, such that the deformation and damage of the front side of the physical model can be directly observed.

Abstract: The present invention relates to the technical field of disaster model experiment of underground engineering, and more particularly to an experimental system for surrounding rock crack evolution and water inrush disaster change in a tunnel excavation of a near-covered karst cave. The experimental system includes a base, an upper crossbeam, standing columns, an experimental cabin, guide rails, a tunnel excavation device and an experimental control system. By setting a tunnel excavation device instead of the traditional manual excavation experimental system, the step-by-step excavation of the tunnel is realized. A camera inside the tunnel mold collects real-time images of the whole process of tunnel excavation. The front side plate is separated from the whole experimental cabin, such that the deformation and damage of the front side of the physical model can be directly observed.

Abstract: The present disclosure relates to the field of image definition recognition, and discloses a logging image definition recognition method and device, medium and electronic equipment. The method comprises: establishing a logging image sample library comprising a plurality of logging images; acquiring actual definition information corresponding to the respective logging images; acquiring a plurality of definitions corresponding to the respective logging images; determining target weights corresponding to the respective target image definition determination algorithms according to the plurality of definitions and the actual definition information corresponding to the respective logging images; and determining a definition of a target logging image by the respective target image definition determination algorithms and the target weights corresponding to the respective target image definition determination algorithms.