Abstract: Disclosed in the disclosure are a method, system and apparatus for processing slice image for 3D printing, and a storage medium. The method includes: acquiring a slice image of a three-dimensional model, and a relationship between a grayscale compensation parameter and a size adjustment value; determining at least one size adjustment value according to the slice image; determining at least one grayscale compensation parameter according to the at least one size adjustment value and the relationship between the grayscale compensation parameter and the size adjustment value; and respectively performing grayscale processing on edge pixels of corresponding contours in the slice image according to the plurality of grayscale compensation parameters, where the processed slice image is used for 3D printing.

Abstract: Disclosed in the disclosure are a method, system and apparatus for processing slice image for 3D printing, and a storage medium. The method includes: acquiring a slice image of a three-dimensional model, and a relationship between a grayscale compensation parameter and a size adjustment value; determining at least one size adjustment value according to the slice image; determining at least one grayscale compensation parameter according to the at least one size adjustment value and the relationship between the grayscale compensation parameter and the size adjustment value; and respectively performing grayscale processing on edge pixels of corresponding contours in the slice image according to the plurality of grayscale compensation parameters, where the processed slice image is used for 3D printing.

Abstract: The present invention discloses an electrical state quantity prediction method and system and a control method and system for a UPS system. In terms of UPS system control strategies, relationships between predicted values of dynamic variables of the UPS system and switch variables of switch tubes are first obtained through a discrete model of the UPS system, then a target optimization control function is constructed based on MPC (Model Predictive Control), and finally, optimal switch variables at each time are obtained by traversing cost values Q of the target optimization control function in various switch states. The method of the present invention solves problems of complex cooperative control, difficult control optimization and the like in a multi-converter system, and improves work efficiency of a high-power UPS system and stability of the control system.

Abstract: A luminous protective case for an electronic device includes a casing that matches dimensions of the electronic device, an electronic circuit board provided along an inner side of a grooved frame of the casing, a magnetic adapter provided on the electronic circuit board and insertable into a preset interface of the electronic device, a plurality of light-emitting sources distributed in and along the grooved frame of the casing, and a main control circuit that controls the light-emitting sources. A magnetic end of the magnetic adapter is exposed from the casing. The luminous protective case for an electronic device can obtain electricity from the electronic device, charge the electronic device, and display a dazzling lighting effect along a side frame of the protective case. This can greatly enhance a user's experience.