16results about How to "High engineering practical value" patented technology

This application relates to a clock tree synthesis method and system for reducing the vertical coupling capacitance of the clock tree, belonging to the field of clock tree synthesis technology. The core of the method lies in the fact that, during the clock tree synthesis process in the physical design phase, by using a preset vertical design of the clock tree and a coupling-aware clock tree synthesis optimization cost function, the parasitic coupling capacitance between clock lines and adjacent signal lines in the vertical metal layer is systematically reduced, thereby improving the noise immunity of the clock network and reducing delay uncertainty and dynamic power consumption.

This invention provides an integrated method for pruning and controlling large-scale models of unmanned aerial vehicles (UAVs), belonging to the field of model lightweighting technology. The proposed method significantly reduces model size and computational load, greatly improves inference speed and control response performance, and enables the deployment of complex neural network controllers on resource-constrained airborne platforms. Simultaneously, the lightweight model maintains or approaches the control accuracy and stability of the original uncompressed model. This method has wide applicability and strong scalability, covering various scenarios from basic flight control to complex mission control, providing a feasible, efficient, and cost-effective solution for applying large models to airborne controllers of UAVs, and possesses high engineering practical value.

This invention relates to the technical fields of intelligent diagnostic equipment for traditional Chinese medicine (TCM), medical IoT, and equipment and systems for internet-based TCM hospitals. Specifically, it relates to an integrated terminal and system for the four diagnostic methods (inspection, auscultation, inquiry, and palpation), incorporating a built-in TCM health model, wireless networking capabilities, and access to an internet-based TCM hospital platform for online registration, AI-based diagnosis, physician review, and electronic prescription processing. It aims to address the problems of single-function diagnostic equipment, data disconnect, and lack of a closed-loop diagnosis and treatment system. The terminal includes an integrated shell and integrated multimodal sign acquisition, edge computing core, interactive touch display, and secure communication gateway module. The acquisition module consists of inspection, auscultation, inquiry, and palpation units, synchronously acquiring tongue appearance, voice, chief complaint, and pulse wave features under a unified clock. The edge computing core incorporates a built-in TCM health model, deeply fusing multimodal features through a cross-modal attention mechanism.

This application provides a method and system for stabilizing and tuning parameters of reactive power compensation equipment in a new energy collection station. The method includes: constructing a frequency domain admittance matrix of the grid-connected system of the new energy collection station; determining the dominant characteristic value of the grid-connected system of the new energy collection station based on the frequency domain admittance matrix; calculating the corresponding system damping ratio based on the dominant characteristic value; calculating the sensitivity of the system damping ratio to at least one parameter of reactive power compensation equipment based on the system damping ratio; constructing a parameter optimization model based on the sensitivity and a preset damping ratio adjustment target; and solving the parameter optimization model to obtain the tuning values ​​of at least one parameter of reactive power compensation equipment for coordinated parameter tuning.

This application discloses a machine learning-based method for constructing numerical atlases of marine propellers, relating to the field of marine technology. This method uses a viscous flow numerical calculation model to calculate the performance parameters of a propeller with design parameters for each set of samples at various sample infeed velocities. Then, using the design parameters and infeed velocities of each set of samples as input and the corresponding performance parameters as output, a performance surrogate prediction model is trained using multiple sets of sample design parameters based on a machine learning model. This surrogate prediction model can then be used to obtain the performance parameters corresponding to different propeller schemes within the atlas parameter range, thus constructing a numerical atlas of marine propellers. This method combines the high efficiency and high accuracy of viscous flow numerical methods with the superior nonlinear fitting capability of machine learning models. It does not rely on extensive physical model experiments, has a simple construction method, and produces propeller atlases with high numerical accuracy.

This invention relates to the field of semiconductor equipment manufacturing technology, specifically to a method, system, device, and medium for semiconductor equipment fault prediction based on a time-series graph neural network. The method first collects time-series operational data of each component of the equipment to form a data matrix. The data matrix is ​​then preprocessed and segmented to obtain standardized segments. Next, a time-series graph is constructed for each segment: using components as nodes, edge weights are determined based on physical connections and Pearson coefficients to form a time-series graph sequence. This sequence is then divided into training and testing sets, input into a time-series graph neural network model for training, and optimized using a cross-entropy loss function. Finally, real-time data, processed through the above steps, is input into the trained model, outputting the fault type and probability, and displaying and pushing the results. By constructing a time-series graph data structure and designing a dedicated time-series graph neural network model, accurate early fault prediction is achieved.

This invention discloses a position angle controller and its control method based on an improved fractional-order active disturbance rejection (ADRROC) module. The position angle controller includes a TD module, a FO-ESO module, and a FO-NLSEF module. The output of the TD module is connected to the input of the FO-NLSEF module. The output of the FO-NLSEF module is connected to the controlled object and the FO-ESO module. The input of the FO-ESO module is connected to the controlled object, and its output is connected to the FO-NLSEF module. This invention utilizes improved ADRROC technology to achieve motor position angle control. By improving the convergence, continuity, and differentiability of the nonlinear function and adding a fractional-order module, the performance of the ADRROC position angle controller is improved and enhanced.

The application discloses a kind of real-time evaluation system and method of automobile interior noise based on deep learning model.The system includes audio acquisition module, feature extraction module, deep learning model module and man-machine interaction module;The deep learning model module includes working condition identification submodule and noise evaluation submodule;The working condition identification submodule inputs the pre-trained improved ResNet working condition identification model with the calibrated mel spectrum feature, and outputs the working condition category of current noise;The noise evaluation submodule inputs the pre-trained CRNN noise evaluation model with the calibrated Log mel spectrum feature, and outputs the comprehensive noise quality score;The man-machine interaction module is used to provide intuitive operation and monitoring interface for user.The application can automatically identify the specific test working condition of vehicle, output the comprehensive score highly consistent with the feeling of professional evaluator, while providing intelligent test progress guidance and visual monitoring.

The present application relates to the technical field of propeller hydrodynamic measurement method, and particularly relates to a propeller lateral excitation force measurement method, which converts the dynamic force signal measured by a sensor in a rotating coordinate system XOY into a propeller lateral excitation force signal in a fixed coordinate system X1OY1 in the form of equal-phase resampling, and can effectively evaluate the propeller lateral line spectrum excitation force. The main steps include test system calibration, signal synchronous acquisition, equal-phase resampling, coordinate transformation and Fourier transformation. The method has clear design process, clear operation and great engineering practical value.

This invention relates to a method for predicting the fracture behavior of the brazing interface of high-nitrogen steel-molybdenum-niobium alloy based on multi-element coupled modeling, comprising: S1, constructing an initial pure metal crystal structure model; S2, optimizing the geometric structure of the model; S3, cutting the model to construct multiple crystal plane models containing different atomic layer thicknesses; S4, performing convergence tests on the multiple crystal plane models respectively; S5, constructing a high-nitrogen steel principal element / brazing filler metal principal element pure metal interface model and a molybdenum-niobium alloy principal element / brazing filler metal principal element pure metal interface model; S6, constructing a realistic brazing interface composite model with multi-element metallurgical interaction characteristics through atomic substitution; S7, calculating interface adhesion work data and electronic structure data to predict the preferential fracture location and fracture mode. The realistic brazing interface model constructed by this invention with multi-element coupled doping can simulate element segregation and phase transformation in actual brazing, quickly infer stress concentration areas and predict fracture modes, significantly shortening the research and development cycle and reducing costs.

This application relates to the field of mechanical testing technology, and proposes a shield tail sealing test device for a tunnel boring machine (TBM). The device includes a transparent test chamber, a hydraulic loading device, a gas delivery device, and a water supply device. The transparent test chamber contains a tail brush assembly, which divides the chamber into a hydraulic pressure chamber and multiple grease chambers. The hydraulic loading device includes a first hydraulic loading pipe, a first hydraulic piston and a first water circuit reversing valve disposed within the first hydraulic loading pipe, a second hydraulic loading pipe, and a second hydraulic piston and a second water circuit reversing valve disposed within the second hydraulic loading pipe. The first hydraulic loading pipe is connected to the hydraulic pressure chamber via the first water circuit reversing valve, and the second hydraulic loading pipe is also connected to the hydraulic pressure chamber via the second water circuit reversing valve. The gas delivery device is connected to both the first and second hydraulic loading pipes. The water supply device is connected to both the first and second water circuit reversing valves. This application has the effect of stabilizing the pressure of the test water.

The application discloses a kind of tunnel lining crack detection method and system based on improved YOLO model, constructs the tunnel lining crack detection model based on improved YOLO (including but not limited to YOLOv8-YOLOv12 and its derivative architecture), including in the feature extraction module of main network Backbone, introduction expansion residual network DWR;Variable convolution and channel-space double attention mechanism are introduced in detection head network Head;Optimize bounding box regression loss function, and boundary box regression loss is calculated using Inner-CIoU loss function.The application realizes the high-precision, real-time detection of multi-scale cracks, especially fine cracks, under the premise of not significantly increasing the computing overhead, through the multi-level, collaborative improvement of network structure.This method is not only suitable for tunnel lining crack detection, but also can be widely used in the detection of other fine crack defects such as bridges, roads and building exterior walls.

The application discloses a speed control method of a permanent magnet synchronous motor system constrained by current and rotating speed. The method provided by the application comprises the following steps: establishing a dynamic model of the permanent magnet synchronous motor system and converting the dynamic model into a state equation; designing a disturbance observer for unmatched disturbance; determining a penalty function according to the state equation of the permanent magnet synchronous motor system constrained by current and rotating speed obtained in step two and state constraints existing in the system; determining a corresponding adaptive speed controller of the permanent magnet synchronous motor according to the dynamic model of the permanent magnet synchronous motor, the state equation of the permanent magnet synchronous motor, the disturbance observer and the penalty function; and constructing a corresponding Lyapunov function according to the adaptive speed controller of the permanent magnet synchronous motor. The rotating speed and current of the permanent magnet synchronous motor can track a reference signal with a given precision without violating the required constraint conditions, and the method has robustness to external disturbance and uncertain parameters.

This invention discloses an improved sliding mode observer for permanent magnet synchronous motor control and a system relating to the field of motor control technology. Addressing the problems of severe chattering and low estimation accuracy in traditional sliding mode observers, the method includes: acquiring the motor voltage and current and transforming them to a stationary coordinate system; using an adaptive sliding mode observer integrating a fuzzy adaptive adjustment unit and a smoothing switching unit for state observation, outputting a smoothed back EMF estimation signal, wherein the fuzzy adjustment unit dynamically adjusts the sliding mode gain based on the current error, and the smoothing switching unit generates a continuous control signal to suppress chattering; inputting the smoothed back EMF signal into a phase-locked loop (PLL) unit to synchronously extract rotor position angle and speed estimates for closed-loop control. The system includes signal detection, an adaptive sliding mode observer, a PLL, and a closed-loop control module. This invention improves the accuracy of speed and position observation and system stability by synergistically suppressing chattering through fuzzy adaptive and smoothing switching, and by avoiding phase delay through a PLL.

The utility model discloses a kind of stability of receiving plug, a kind of stability of receiving plug, receiving plug includes the insertion of each other and the mouth of pipe;The one end of insertion is provided with the first pipe connecting portion for being connected with pipeline, the other end is provided with insertion part, insertion part is provided with pressure test groove, the one end of mouth of pipe is provided with the second pipe connecting portion for being connected with pipeline, the other end is provided with receiving part;Two pressure test holes are equipped in the lateral wall of receiving part, and the inner surface of receiving part is provided with corrugated channel;Several invaginated reinforcing grooves are arranged in pressure test groove;Wherein, the position of corrugated channel after insertion corresponds with pressure test groove, and form continuous closed cavity, and pressure test hole is communicated with cavity for glue injection and stable receiving plug.The utility model is through channel cooperation and glue injection solidification, significantly improve the anti-falling property, sealing property and long-term stability of pipeline connection, with higher engineering practical value.