Abstract: The present application disclosures a double production line and a rapid prefabrication process of a segmental beam. The double production line including two production machine and a track system provided on the construction ground; the production machine includes a fixed end mold, two side molds, a bottom mold trolley, a middle internal mold trolley and two side internal mold trolley; two side molds are positioned on two sides of the fixed end mold respectively, the fixed end mold and two side molds together define a pouring position with an end opening, two openings of the pouring position are arranged facing each other; the track system includes a transverse track and a longitudinal track communicated with each other, two pouring positions are both positioned in the extension path of the transverse track, and the longitudinal track is positioned between two pouring positions.

Abstract: An image fusion method based on image and LiDAR point cloud is provided. The method comprises: acquiring a first image and sparse point cloud data, point cloud data in each channel of the sparse point cloud data corresponding to pixels in the first image respectively, and the sparse point cloud data and the first image having space and time synchronicity; obtaining a target gradient value corresponding to at least one target pixel in the first image according to the first image, the target pixel being a non-edge pixel of the first image; up-sampling the sparse point cloud data based on at least one target gradient value to obtain dense point cloud data, the target gradient value being determined according to a corresponding target pixel between adjacent channels of the sparse point cloud data; and obtaining a target fusion image based on the first image and the dense point cloud data.

Abstract: Disclosed are a method and system for evaluating sonar self-noise at a ship design stage. The method includes: building a ship structure full-scale geometric simulation model; acquiring loss factors and sonar transducer space outfitting acoustic absorption coefficient material parameters; acquiring mechanical excitation, hydrodynamic excitation, and propeller excitation; inputting the loss factors and the sonar transducer space outfitting acoustic absorption coefficient material parameters into an established statistical energy evaluation model, and applying a mechanical excitation to a face plate of foundation of the built ship structure full-scale geometric simulation model, applying a hydrodynamic excitation to the surface of a ship hull, and applying a propeller excitation to a stern shaft to perform calculation of sonar self-noise of a ship to obtain total spectral density level of the sonar self-noise; and evaluating spectral density level calculation results by index requirements.

Abstract: Disclosed are a method and system for evaluating sonar self-noise at a ship design stage. The method includes: building a ship structure full-scale geometric simulation model; acquiring loss factors and sonar transducer space outfitting acoustic absorption coefficient material parameters; acquiring mechanical excitation, hydrodynamic excitation, and propeller excitation; inputting the loss factors and the sonar transducer space outfitting acoustic absorption coefficient material parameters into an established statistical energy evaluation model, and applying a mechanical excitation to a face plate of foundation of the built ship structure full-scale geometric simulation model, applying a hydrodynamic excitation to the surface of a ship hull, and applying a propeller excitation to a stern shaft to perform calculation of sonar self-noise of a ship to obtain total spectral density level of the sonar self-noise; and evaluating spectral density level calculation results by index requirements.

Abstract: A method for calibrating a driving risk identification model includes: S1. establishing a vehicle platform by installing an information acquisition device on a test vehicle; S2. acquiring synchronized test data related to the test vehicle and driving scenarios; S3. extracting moments when the drivers start to press the accelerator pedal, start to release the accelerator pedal, start to press the brake pedal in the driving scenarios, and start to release the brake pedal, so as to define risk level values respectively corresponding to the moments; S4. obtaining a risk identification curve of the drivers in different driving scenarios, wherein the risk identification curve represents the drivers' judgment of the risk level over time; S5. using the risk identification curve to calibrate the driving risk identification model.

Abstract: An antenna switching circuit includes: a first switching circuit and a second switching circuit. The first switching circuit is electrically connected with at least two first radio frequency paths and at least two first antennas, respectively. In a first state, one of the first radio frequency paths is connected with one of the first antennas, and an operating band of one of the first radio frequency path is a first frequency band; the second switching circuit is electrically connected with at least two second radio frequency paths and at least two second antennas, respectively. In a second state, one of the second radio frequency paths is connected with one of the second antennas, and an operating band of one of the second radio frequency band is a second frequency band. The first frequency band is lower than the second frequency band.

Abstract: An antenna switching circuit includes: a first switching circuit and a second switching circuit. The first switching circuit is electrically connected with at least two first radio frequency paths and at least two first antennas, respectively. In a first state, one of the first radio frequency paths is connected with one of the first antennas, and an operating band of one of the first radio frequency path is a first frequency band; the second switching circuit is electrically connected with at least two second radio frequency paths and at least two second antennas, respectively. In a second state, one of the second radio frequency paths is connected with one of the second antennas, and an operating band of one of the second radio frequency band is a second frequency band. The first frequency band is lower than the second frequency band.

Abstract: This application discloses a battery cushion and a forming method thereof, and a battery module and a forming method thereof. The battery cushion includes a body and breakable bubbles. The breakable bubbles are disposed in the body. The breakable bubbles include at least a first bubble and a second bubble. A breaking pressure of the first bubble is less than a breaking pressure of the second bubble, so that the battery cushion can release a space occupied by the battery cushion in a progressive manner under different external forces. The battery cushion disclosed in this application can not only achieve a pre-tightening force required during assembly of the battery module but also effectively relieve an expansive force generated during working of the battery module.

Abstract: Seawater fluidized ice manufacturing equipment is disclosed, comprising a compressor; a condenser, connected with the compressor, the condenser being internally provided with a condensing agent; a heat exchanger, connected with the condenser, the heat exchanger being provided with a hydrophobic material coating; and an ultrasonic generator, connected with the heat exchanger. A seawater fluidized ice manufacturing method is also disclosed, comprising the following steps: compressing low-temperature and low-pressure condensing agent vapor in an ice making barrel into high-temperature and high-pressure condensing agent vapor by the compressor; driving the seawater to enter the ice making barrel and the liquefied condensing agent into a cooling pipe, condensing the seawater into fluidized ice, wherein when the seawater is condensed in the ice making barrel, the ultrasonic generator generates ultrasonic waves to drive the seawater to crystallize into fluidized ice.

Abstract: Seawater fluidized ice manufacturing equipment is disclosed, comprising a compressor; a condenser, connected with the compressor, the condenser being internally provided with a condensing agent; a heat exchanger, connected with the condenser, the heat exchanger being provided with a hydrophobic material coating; and an ultrasonic generator, connected with the heat exchanger. A seawater fluidized ice manufacturing method is also disclosed, comprising the following steps: compressing low-temperature and low-pressure condensing agent vapor in an ice making barrel into high-temperature and high-pressure condensing agent vapor by the compressor; driving the seawater to enter the ice making barrel and the liquefied condensing agent into a cooling pipe, condensing the seawater into fluidized ice, wherein when the seawater is condensed in the ice making barrel, the ultrasonic generator generates ultrasonic waves to drive the seawater to crystallize into fluidized ice.