Abstract: A multi-sensor fusion method and system for intelligent driving vehicles are provided, which relate to the technical field of intelligent driving vehicles. The method includes: establishing an extended target tracker based on a GM-PHD algorithm and a rectangular target model of a detected object; processing detection information of a millimeter-wave radar by using the extended target tracker to obtain millimeter-wave radar track information of the detected object; processing detection information of a laser radar by using the established bounding-box detector and a JPDA tracker provided with an IMM-UKF to obtain laser-radar track information of the detected object; processing the millimeter-wave radar track information and the laser-radar track information by performing time-space conversion to obtain a central fusion node; and processing the central fusion node by using an IMF algorithm to obtain global track information.

Abstract: A digital twin-based pressure vessel safety evaluation and risk warning method includes steps: S1, determine a damage mode of pressure vessel; S2, design an overall plan of pressure vessel safety evaluation and risk warning; S3, simplify physical model of the pressure vessel and build a simplified physical model based on designed overall plan; S4, obtain load condition parameters during actual service of the pressure vessel; S5, determine material performance parameters of the pressure vessel; S6, build a digital twin model of pressure vessel safety evaluation and risk warning; S7, obtain a full-field damage distribution cloud map of the pressure vessel; S8, compare the full-field damage distribution cloud map and strength requirement of material of pressure vessel, if the strength requirement is met, conduct a safety evaluation at next time node according to subsequent needs of user, and if the strength requirement is not met, output a pressure vessel risk warning.

Abstract: Disclosed are an antimicrobial high-entropy alloy FeCoNiCrCe and a preparation method thereof, falling within the technical field of high-entropy alloys. The high-entropy alloy in the present disclosure has an expression: FeCoNiCrCex, 0.1?x?0.5, and a proportion of each element is a molar ratio. In the present disclosure, the microstructure and mechanical and antimicrobial performances of high-entropy alloy FeCoNiCrCex are improved by adjusting a content of Ce.