Abstract: A chassis for an edge device includes a cabinet and a heat exchange component. The heat exchange component is disposed in a space enclosed by the cabinet. The space in the cabinet is divided into a first space and a second space for placement an electronic device. The heat exchange component performs heat transfer between the first space and the second space. A first air inlet and a first air outlet are disposed in the first space, and an airflow entering from the first air inlet flows through a first surface of the heat exchange component and exits from the first air outlet.

Abstract: Disclosed is a pumping method of a large-diameter horizontal pressurized long dewatering well for inexhaustible pumping strata. Clay layers and sand soil layers are determined according to construction positions of foundation pits, horizontal holes are drilled in the sand soil layers with a drill rig with simultaneous casing, and after the designed depth is reached, horizontal wells are placed, the horizontal wells are located above the junction of the clay layers and the sand soil layers, and the horizontal wells comprise drain pipes and air ducts, the drain pipes and the air ducts are located at the same elevation, each air duct is located between the two drain pipes, and the air duct is connected with the air pipe of the air compressor to deliver and pressurize, so as to facilitate water in the strata of aquifer to gather into the drain pipes.

Abstract: A method for recognizing a transformer partial discharge pattern based on a singular value decomposition (SVD) algorithm includes a training model and a classification recognizing process, comprising: firstly setting up an experimental environment having artificial defects, collecting at least one datum sample, and calculating statistical feature parameters of each datum sample to form a datum sample matrix; performing singular value decomposition on the datum sample matrix and determining an order of an optimal retention matrix by judging whether a feature of a retention matrix is clear, so as to obtain a type feature description matrix and a class-center description vector group after dimensionality reduction; preprocessing samples to be recognized to obtain a sample vector, and performing linear transformation on the sample vector utilizing a type space description matrix.