Abstract: The invention discloses a multi-stage shock absorption and seismic resistance system for urban underground comprehensive pipe tunnels. It includes a pipe gallery tunnel and pipeline grooves. Inside the tunnel, a multi-segment active cavity with multiple arc-shaped inner cavity walls forms a pipe shape with the same axis line as the tunnel. Each inner cavity wall has a sealing elastic contact pad, ensuring a tight seal. Adjacent active cavities connect end to end, forming an inner tunnel body that extends with the pipe tunnel. The outer wall of the inner cavity is fixed to the tunnel's inner wall by a fixed frame. The pipeline groove is installed on the inner wall of the inner cavity through a telescopic frame. The inner tunnel body can swing up and down or left and right, absorbing transverse and longitudinal earthquake waves and resisting impact and collapse.

Abstract: The invention discloses a system for enhancing the damping and aseismic capacities of an underground integrated pipe rack. It includes a pipe fixing assembly installed on the inner walls of the underground space on both sides. The assembly comprises multiple lifting frames arranged vertically and a lifting mechanism. The telescopic end of the lifting mechanism is fixedly connected to the lowermost lifting frame. One side of the lifting frame is slidingly connected to the inner wall of the underground space and features a recess for placing the pipe. A pipe holder inside the recess secures the pipe. During vibrations, the lifting frame slides on the inner wall, causing relative movement between adjacent pipe holders. The vibration is absorbed by the telescopic spring, preventing hard contact between the pipe and the vibration source. This reduces vibration and protects the pipe, thereby enhancing the aseismic capacity of the underground pipe rack.

Abstract: Embodiments of this application provide a neural network model processing method in the field of artificial intelligence. The method includes: performing operator splitting on a first subgraph in a first computation graph corresponding to a neural network model, to obtain a second computation graph, where the second computation graph includes a plurality of parallel subgraphs corresponding to the first subgraph, overheads of the plurality of subgraphs match computation capabilities of a plurality of processors, and the plurality of processors separately process computation tasks of the plurality of subgraphs.

Abstract: The present invention belongs to the technical field of constructional engineering safety detection, and provides a method for detecting hollowing of an exterior wall finish layer. The method for detecting a defect of a facade finish layer of a building proposed by the present invention can realize remote detection in the on-site detection operation and avoid high-altitude hazardous operation of personnel, and is simple and convenient in operation. In data analysis and processing, the method not only can overcome the subjectivity and the instability caused by manual color identification of a temperature image, but also can realize batch processing of image analysis through software or conduct real-time detection and analysis.

Abstract: The present invention belongs to the technical field of constructional engineering safety detection, and provides a method for detecting hollowing of an exterior wall finish layer. The method for detecting a defect of a facade finish layer of a building proposed by the present invention can realize remote detection in the on-site detection operation and avoid high-altitude hazardous operation of personnel, and is simple and convenient in operation. In data analysis and processing, the method not only can overcome the subjectivity and the instability caused by manual color identification of a temperature image, but also can realize batch processing of image analysis through software or conduct real-time detection and analysis.