Abstract: A guide-type anti-climbing energy-absorbing device based on hydraulic shearing includes an energy-absorbing tube, an anti-climbing portion, a first connecting portion, a plurality of partition plates, and two guide plates. The anti-climbing portion and the first connecting portion are respectively provided at two ends of the energy-absorbing tube. The partition plates are sequentially arranged inside the energy-absorbing tube along an axial direction to divide the interior of the energy-absorbing tube into a plurality of first energy-absorbing cavities, each filled with a first honeycomb body. The two guide plates are symmetrically arranged in the energy-absorbing tube along a vertical direction of the energy-absorbing tube. Each guide plate is arranged obliquely and includes a connecting end connected to the anti-climbing portion and a free end passing through the partition plates in sequence to extend outside the first connecting portion.

Abstract: A guide-type anti-climbing energy-absorbing device based on hydraulic shearing includes an energy-absorbing tube, an anti-climbing portion, a first connecting portion, a plurality of partition plates, and two guide plates. The anti-climbing portion and the first connecting portion are respectively provided at two ends of the energy-absorbing tube. The partition plates are sequentially arranged inside the energy-absorbing tube along an axial direction to divide the interior of the energy-absorbing tube into a plurality of first energy-absorbing cavities, each filled with a first honeycomb body. The two guide plates are symmetrically arranged in the energy-absorbing tube along a vertical direction of the energy-absorbing tube. Each guide plate is arranged obliquely and includes a connecting end connected to the anti-climbing portion and a free end passing through the partition plates in sequence to extend outside the first connecting portion.

Abstract: An integrated thermal management system, includes: a heat pump subsystem that includes a heat pump subsystem detector configured to detect heat pump state information of the heat pump subsystem; a cooling subsystem of a high-voltage system is configured to exchange heat between the heat pump subsystem and a high-voltage system of a vehicle; a battery detector is configured to detect battery state information of a vehicle battery; an user interface is configured to receive setting information of a thermal demand of a passenger compartment of a vehicle; and a controller is configured to determine a thermal management demand of the vehicle battery according to the battery state information, determine a thermal management demand of the passenger compartment according to the setting information, and determine a heat supplementation demand according to the thermal management demand of the vehicle battery, the thermal management demand of the passenger compartment, and the heat pump state information.

Abstract: The present invention discloses a registration method and system for a non-rigid multi-modal medical image. The registration method comprises: obtaining local descriptors of a reference image according to Zernike moments of order 0 and repetition 0 and Zernike moments of order 1 and repetition 1 of the reference image; obtaining local descriptors of a floating image according to Zernike moments of order 0 and repetition 0 and Zernike moments of order 1 and repetition 1 of the floating image; and finally obtaining a registration image according to the local descriptors of the reference image and the floating image. In the present, by using self-similarity of the multi-modal medical image and adopting the Zernike moment based local descriptor, the non-rigid multi-modal medical image registration is thus converted into the non-rigid mono-modal medical image registration, thereby greatly improving its accuracy and robustness.

Abstract: The present invention discloses a registration method and system for a non-rigid multi-modal medical image. The registration method comprises: obtaining local descriptors of a reference image according to Zernike moments of order 0 and repetition 0 and Zernike moments of order 1 and repetition 1 of the reference image; obtaining local descriptors of a floating image according to Zernike moments of order 0 and repetition 0 and Zernike moments of order 1 and repetition 1 of the floating image; and finally obtaining a registration image according to the local descriptors of the reference image and the floating image. In the present, by using self-similarity of the multi-modal medical image and adopting the Zernike moment based local descriptor, the non-rigid multi-modal medical image registration is thus converted into the non-rigid mono-modal medical image registration, thereby greatly improving its accuracy and robustness.