Abstract: A seat belt device includes: a latch plate including a snap-fit notch and configured to connect to an end part of a seat belt; a shell including a latch plate channel, the latch plate channel configured for the latch plate to extend into; and a locking piece. The locking piece includes two positioning plates and a locking plate connecting the two positioning plates. The locking piece is disposed on the shell between a locking position and a release position. The two positioning plates are sliding fit with the shell. When the locking piece is in the locking position and the latch plate extends into the latch plate channel, the locking plate is snap-fitted in the snap-fit notch, and when the locking piece is in the release position, the locking plate is configured to avoid the latch plate.

Abstract: This application discloses a method for controlling a virtual throwable performed by a computer device. The method includes: in response to a thrown virtual throwable exploding and releasing a virtual fluid substance in a virtual environment picture, defining special effect cells in a first range centered around an explosion point of the virtual throwable; traversing the special effect cells in the first range, and identifying, among the special effect cells, one or more valid special effect cells in the first range satisfying a valid diffusion condition; and when the virtual fluid substance encounters a virtual obstacle during diffusion, diffusing the virtual fluid substance based on one of the one or more valid special effect cells on a surface of the virtual obstacle, the valid diffusion condition comprising at least one of the one or more valid special effect cells not overlapping the virtual obstacle.

Abstract: A motor rotor apparatus includes a rotor core and a bonding element embedded in the rotor core. The rotor core includes a first air sub-groove, and the first air sub-groove includes a first tooth and a first slot. The bonding element includes a second tooth and a second slot. The first tooth is engaged with the second tooth, and the first slot is engaged with the second slot.

Abstract: A vehicle torque processing method, apparatus, and a vehicle controller are provided. The method includes allocating torque to the first power drive system and a second power drive system based on required torque, where a sum of first torque output by the first power drive system and second torque output by the second power drive system is equal to the required torque. At a current vehicle speed, if an intrinsic frequency of the first power drive system is a frequency in a resonance frequency range corresponding to the first power drive system, based on the required torque and peak torque of the second power drive system, the torque output by the first power drive system and the torque output by the second power drive system are adjusted.

Abstract: A method and system for real-time calculating a microseismic focal mechanism based on deep learning is provided, which belongs to the technical field of microseismic monitoring. The method includes: creating a training dataset, the training data including simulated DAS microseismic strain data and a focal mechanism corresponding to the simulated DAS microseismic strain data; training a focal mechanism calculation model by using the training dataset, with the simulated DAS microseismic strain data as an input and the focal mechanism corresponding to the simulated DAS microseismic strain data as a target output, so as to obtain a trained focal mechanism calculation model; collecting DAS microseismic strain data by a surface and downhole DAS acquisition system; performing preprocess operations such as removing abnormally large values on the DAS microseismic strain data; inputting the preprocessed DAS microseismic strain data into a trained focal mechanism calculation model to obtain a focal mechanism.

Abstract: A method and system for real-time calculating a microseismic focal mechanism based on deep learning is provided, which belongs to the technical field of microseismic monitoring. The method includes: creating a training dataset, the training data including simulated DAS microseismic strain data and a focal mechanism corresponding to the simulated DAS microseismic strain data; training a focal mechanism calculation model by using the training dataset, with the simulated DAS microseismic strain data as an input and the focal mechanism corresponding to the simulated DAS microseismic strain data as a target output, so as to obtain a trained focal mechanism calculation model; collecting DAS microseismic strain data by a surface and downhole DAS acquisition system; performing preprocess operations such as removing abnormally large values on the DAS microseismic strain data; inputting the preprocessed DAS microseismic strain data into a trained focal mechanism calculation model to obtain a focal mechanism.

Abstract: Embodiments of the present disclosure provide a multi-physical field imaging method based on PET-CT and DAS, comprising: wrapping distributed acoustic sensors on a surface of a non-metallic sample to be tested, and then placing them in a pressure device; loading triaxial pressures; preparing a tracer fluid; pumping the tracer fluid into the non-metallic sample; collecting PET images and CT images of internal structure of the non-metallic sample, meanwhile, monitoring internal acoustic emission events of the non-metallic sample in real time; combining the PET images with the CT images, to obtain PET/CT images; locating the acoustic emission events, and obtaining occurrence time and spatial location of internal structural perturbations; and analyzing a mechanism of fluid-solid coupling effect in the non-metallic sample under loaded stress. The imaging method and system of the present disclosure can accurately and reliably image the fluid-solid coupling process in the material.

Abstract: A seismometer with high sensitivity, broadband and all-dip is provided, The which relates to the technical field of seismometer, including a first force feedback module, an insulator, a top cover, a terminal post, an upper leaf spring, a mass block, a casing, a sealing ring, an insulation gasket, a guide spring, a wire frame, a magnetic shoe, a compensation ring, a lower leaf spring, a bottom cover, a second force feedback module and a third force feedback module. It provides the broadband seismometer technology based on dynamic force balance feedback and the all-dip broadband seismometer technology based on dip angle perception, which breaks through the limitations of conventional seismometers in sensitivity, frequency band, and dip angle, and truly realizes a seismometer with high sensitivity, broadband, and all-dip.

Abstract: Embodiments of the present disclosure provide a DAS same-well monitoring real-time microseismic effective event identification method based on deep learning, including: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set, including microseismic event data, pipe wave data and background noise data with different types of labels; constructing a signal identification module; training the signal identification module by using the training data set; preprocessing actual monitoring data, inputting the preprocessed data into the signal identification module to obtain an output result; marking microseismic events identified in the output result, and updating the marked microseismic events into the training data set; and adjusting and updating the signal identification module. The identification method according to the present disclosure can identify microseismic events in DAS same-well monitoring data in real time and efficiently.

Abstract: A seismometer with high sensitivity, broadband and all-dip is provided, The which relates to the technical field of seismometer, including a first force feedback module, an insulator, a top cover, a terminal post, an upper leaf spring, a mass block, a casing, a sealing ring, an insulation gasket, a guide spring, a wire frame, a magnetic shoe, a compensation ring, a lower leaf spring, a bottom cover, a second force feedback module and a third force feedback module. It provides the broadband seismometer technology based on dynamic force balance feedback and the all-dip broadband seismometer technology based on dip angle perception, which breaks through the limitations of conventional seismometers in sensitivity, frequency band, and dip angle, and truly realizes a seismometer with high sensitivity, broadband, and all-dip.

Abstract: A wireless power transfer arrangement (20) for a wireless power transfer across an airgap (9) by inductive coupling, for example for charging the battery (31) of an electric vehicle, includes a primary side (21) with a primary pad (22) for generating a magnetic field (28) into the airgap (9) and a secondary side (24) arranged on the other side of the airgap (9) that picks up the magnetic field (28) and provides the energy received through the magnetic field (28) to the battery (31). The primary side (21) is for example installed at a charging station and the secondary side (24) is comprised by the electric vehicle. In order to control the charging process during the power transfer, a wireless communication channel (38) is provided between the primary (21) and the secondary (24) by means of two wireless transceivers (35, 36). According to the invention, the wireless transceivers (35, 36) are adapted such that their communication range is less than twice a largest spatial extent of the primary pad.

Abstract: An optical storage integrated lamp, comprising a lamp post, a luminaire, at least one photovoltaic panel, and an energy storage device. The lamp post comprises at least two sections of sub lamp posts, and adjacent two sections of sub lamp posts are detachably connected with each other; the luminaire is detachably mounted at the sub lamp post located at the top of the lamp post; an accommodating cavity is formed in one sub lamp post; the energy storage device is accommodated in the accommodating cavity; the at least one photovoltaic panel is provided on the outer surface of at least one sub lamp post.

Abstract: A power assembly includes a power component and a shell. The shell includes an accommodating structure, a flow diversion structure, a liquid storage structure, a heat dissipation structure, and a heat exchange structure. The accommodating structure is filled with cooling liquid. The flow diversion structure is configured to guide a flow direction of the cooling liquid. The liquid storage structure is configured to store the cooling liquid that is guided by the flow diversion structure to enter the liquid storage structure, and to distribute the cooling liquid that enters the liquid storage structure. The heat dissipation structure is configured to receive the cooling liquid distributed by the liquid storage structure, and to transfer the cooling liquid to the power component to cool the power component. The heat exchange structure is configured to perform heat exchange and cooling on the cooling liquid in the accommodating structure.

Abstract: Embodiments of the present disclosure provide a real-time microseismic magnitude calculation method based on deep learning and a corresponding device. The method includes: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set; constructing a magnitude calculation module, wherein the magnitude calculation module comprises two input branches of frequency spectrum and time waveform, the two input branches use a 3-layer convolution structure to extract frequency characteristic and waveform characteristic of a microseismic event, and then a model fusion is performed, and then 2 fully connected layers are used, and finally a calculated magnitude is outputted; training the magnitude calculation module; and analyzing and processing field data.

Abstract: Embodiments of the present disclosure provide a real-time microseismic magnitude calculation method based on deep learning and a corresponding device. The method includes: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set; constructing a magnitude calculation module, wherein the magnitude calculation module comprises two input branches of frequency spectrum and time waveform, the two input branches use a 3-layer convolution structure to extract frequency characteristic and waveform characteristic of a microseismic event, and then a model fusion is performed, and then 2 fully connected layers are used, and finally a calculated magnitude is outputted; training the magnitude calculation module; and analyzing and processing field data.

Abstract: The present disclosure provides a wireless communication device and a control method thereof. The wireless communication device includes a first communication control module and a second communication control module.

Abstract: A power module includes a housing, a circuit component, and a package. The housing includes a main housing, a heat sink, and a fastening layer. A first outer surface of the main housing is provided with a groove. The fastening layer is disposed on a bottom surface of the groove. The heat sink is located on a side opposite to an orientation of the groove. The circuit component includes a heat dissipation surface and a pin. The heat dissipation surface is fastened to the fastening layer through welding. The pin extends out of the first outer surface in a direction away from the fastening layer. The package is configured to cover the circuit component, and to at least partially expose a distal end of the pin.

Abstract: Embodiments of the present disclosure provide a multi-physical field imaging method based on PET-CT and DAS, comprising: wrapping distributed acoustic sensors on a surface of a non-metallic sample to be tested, and then placing them in a pressure device; loading triaxial pressures; preparing a tracer fluid; pumping the tracer fluid into the non-metallic sample; collecting PET images and CT images of internal structure of the non-metallic sample, meanwhile, monitoring internal acoustic emission events of the non-metallic sample in real time; combining the PET images with the CT images, to obtain PET/CT images; locating the acoustic emission events, and obtaining occurrence time and spatial location of internal structural perturbations; and analyzing a mechanism of fluid-solid coupling effect in the non-metallic sample under loaded stress. The imaging method and system of the present disclosure can accurately and reliably image the fluid-solid coupling process in the material.

Abstract: Embodiments of the present disclosure provide a DAS same-well monitoring real-time microseismic effective event identification method based on deep learning, comprising: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set, comprising microseismic event data, pipe wave data and background noise data with different types of labels; constructing a signal identification module; training the signal identification module by using the training data set; preprocessing actual monitoring data, inputting the preprocessed data into the signal identification module to obtain an output result; marking microseismic events identified in the output result, and updating the marked microseismic events into the training data set; and adjusting and updating the signal identification module. The identification method according to the present disclosure can identify microseismic events in DAS same-well monitoring data in real time and efficiently.

Abstract: The present invention belongs to the technical field of biological pharmacy, and particularly relates to a long-acting HM-3 fusion protein molecule and an application thereof. In the present invention, on the basis of the sequence of HM-3 molecule, an active polypeptide HM-3 and derivatives thereof are linked to a human Fc (IgG) fragment or a fragment of an Fc (IgG) mutant directly or by a linker peptide (Linker), thus forming a novel molecular entity. The general formula of the molecular entity is (HM-3)n-Linker-Fc(IgG), Fc(IgG)-Linker-(HM-3)n, or (HM-3)n-Linker-Fc(IgG)-Linker-(HM-3)n. The fusion protein effectively prolongs the half-life of HM-3, is low in cost and overcomes the major problem of druggability of small peptides. Therefore, the fusion protein of the present invention may serve as a potential drug for the treatment of autoimmune diseases, neovascular diseases, osteoarthritis and the like.