5results about How to "Simplify hardware configuration" patented technology

The present application belongs to the field of pulse power and laser control, and relates to a continuous multi-pulse generation circuit and a control method sharing a discharge loop, comprising a plurality of continuous multi-pulse generation circuits, each of which comprises a plurality of charging loops, a plurality of voltage dividing sampling resistors, a plurality of discharge switches and a shared discharge loop; the charging loop is used to form a charging path when the discharge switch is turned off, and comprises a charging module, a diode, a charging damping resistor, a charging damping inductor and an energy storage capacitor module; the voltage dividing sampling resistor is used to sample and divide the voltage of the positive electrode of the energy storage capacitor module, and the low-voltage signal obtained by voltage division is used as the feedback control input for adjusting the charging voltage of the charging module; the shared discharge loop is used to generate a current pulse when the switch is turned on, and the plurality of continuous multi-pulse generation circuits respectively form a plurality of discharge loops with the shared discharge loop; the hardware configuration of the discharge loop is simplified, and a multi-pulse string with flexible configuration attributes can be generated.

The application relates to a long-span bridge nonlinear aerodynamic damping self-supervised identification method based on a hardened non-Gaussian response probability density constraint, which comprises the following steps: S1, acquiring displacement response data of a structure under side wind excitation; S2, pre-processing the displacement response data and constructing a target displacement probability density function; S3, establishing a motion equation related to first-order modal response containing nonlinear aerodynamic damping; S4, deducing an analytical displacement probability density function based on a Fokker-Planck-Kolmogorov equation; S5, constructing a probability density function information embedded self-supervised neural network PDF-ThetaNet; S6, constructing a composite probability distribution loss function and training the PDF-ThetaNet; and S7, outputting nonlinear aerodynamic damping parameters and buffeting excitation strength of a long-span bridge structure. Through construction of a nonlinear aerodynamic damping and unknown buffeting force spectrum strength identification model and based on vertical displacement, a self-supervised neural network based on a probability density function constraint is used to realize identification of nonlinear aerodynamic damping and buffeting force power spectrum strength.

The application relates to the technical field of modular cabin temperature control, and discloses an integrated thermal management system for a modular steel cabin and a control method thereof, the system comprising a main refrigerant circuit, a human cabin water circulation circuit, a plate heat exchanger coupling the two, a fluorine path electromagnetic valve arranged on a refrigerant pipeline leading to the plate heat exchanger, and an intelligent controller, the core of which is that the intelligent controller is configured to, when the system is in a refrigeration mode and it is judged that the human cabin temperature demand has been met while the equipment cabin has a heat dissipation demand, execute cooperative control: keeping the compressor in the main refrigerant circuit running while closing the fluorine path electromagnetic valve. Through the above-mentioned cooperative control logic, the refrigeration capacity is dynamically transferred from the human cabin which has met the demand to the equipment cabin, the compressor is prevented from frequently starting and stopping, the energy utilization efficiency and system operation stability are significantly improved on the basis of not increasing the hardware cost, and the system structure is simplified.

The invention discloses a smart classroom emotion recognition method and system based on dynamic facial expressions. The method comprises the following steps: firstly, acquiring a classroom panoramic video stream, and preprocessing the classroom panoramic video stream to generate a structured facial image sequence; the method comprises the following steps of: obtaining a fused video frame through a space-time attention fusion module, then embedding time and space tokens, inputting the fused video frame into a double-scanning bidirectional Mamaba block to carry out space-time feature extraction and modeling, finally outputting the probability of each emotion through a pre-trained emotion classification model, and selecting the emotion with the highest probability as final output to be fed back to a user. The dynamic facial expression recognition system provided by the invention is light in weight and high in performance, so that facial expressions of students can be accurately recognized in an actual classroom, and the reliability and the stability of results are ensured. The method solves the problems of weak dynamic modeling, strong multi-mode dependence, lack of education closed loop and the like in a classroom scene in the prior art, and is suitable for non-sentible emotion perception and teaching optimization in intelligent education.

The application discloses a kind of detection methods of engine valve lock block missing loading, it is related to engine assembly detection technical field, including using the inherent gap between two valve lock pieces when normal assembly as fixed leakage passage, by machine tool drive semi-automatic plugging down, plugging rubber ring and valve spring seat are adhered to form detection cavity.By test leakage machine to detection cavity inflation, according to the leakage cross-sectional area and height of normal assembly deduce maximum legal loss boundary, set as leakage upper limit.Inflation pressure monitoring after stabilization, when actual leakage exceeds leakage upper limit, it is judged that there is missing loading defect and NG signal is output, and other cylinders are tested for leakage in turn, and data is synchronously interacted to system.The present application overcomes the limitation of traditional differential pressure leakage relying on completely closed cavity, directly identifies missing loading defect by capturing the pressure drop difference caused by component loss, and realizes automatic quality interception.