9results about How to "Solution depth" patented technology

The invention relates to the technical field of material forming, in particular to a vibration control system and method for particle directional arrangement in the graphite powder forming process, and the system and method achieve the time division multiplexing of vibration excitation and ultrasonic detection through a multifunctional vibration exciter array, a high-speed switching circuit and intelligent closed-loop control. The micro-state of the powder is sensed in real time with high resolution, and a targeted, multi-mode and locally adjustable composite vibration waveform is dynamically generated and applied according to diagnosis. According to the vibration control system and the vibration control method, the problems of sensing blind areas, passive excitation and sensing excitation disjunction of existing graphite powder forming are solved or at least relieved, sensing excitation disjunction is effectively overcome, and the precision, the efficiency and the robustness of particle directional arrangement are improved.

The application discloses a kind of based on real-time global illumination and grating hybrid acceleration ultra-high voltage station rendering method, it is related to ultra-high voltage station inspection simulation technical field, including the following steps: in strong electromagnetic interference environment, by adaptive electromagnetic interference filtering algorithm is combined with global illumination probe dynamic interpolation compensation algorithm, dynamic adjustment illumination sampling frequency and insert pre-computed global illumination data.The application is by adaptive electromagnetic interference filtering and illumination sampling dynamic compensation mechanism, effectively suppresses the high-frequency jitter of illumination data caused by strong electromagnetic noise, can according to the noise spectrum characteristics of real-time acquisition intelligent adjustment global illumination probe sampling frequency, and is combined with material perception illumination interpolation algorithm, ensure that metal and insulator surface under different interference intensity all present continuous, smooth illumination performance, so that ultra-high voltage station still can maintain stable visual output under strong electromagnetic interference environment, guarantee the reliability and authenticity of inspection simulation process.

This invention discloses a time-delay-resistant and energy-saving motion control method and system for a flat-type all-wheel-drive AUV. The invention includes: constructing a six-degree-of-freedom hydrodynamic model of the AUV based on submarine maneuverability theory; identifying the setpoint pure time delay and rotational acceleration characteristics of the propeller through multi-condition testing, and constructing a nonlinear propeller dynamic model including a pure time delay element and a nonlinear rotational speed dynamic response model; constructing a composite control architecture integrating a dual-loop PID controller, a Smith predictor, and a model reference adaptive controller (MRAC); using the Smith predictor to perform explicit time delay compensation for the vertical plane motion subsystem, and using MRAC to update the adaptive gain online to compensate for model mismatch. This invention effectively suppresses high-frequency pitch angle jitter, reduces ineffective commutation movements and energy consumption of the propeller, and significantly improves the high-speed operational stability and endurance of the flat-type AUV.

The invention discloses an electric spark machining anomaly classification and recognition method and system, and relates to the technical field of machining anomaly recognition, and the method comprises the following steps: segmenting a continuous signal to obtain discrete signal segments, carrying out the signal extraction of the discrete signal segments to obtain feature data, forming a multi-dimensional feature vector according to the feature data, and carrying out the classification and recognition of machining anomaly. Inputting the multi-dimensional feature vector into a multi-granularity anomaly classifier, outputting coarse-granularity candidate category probability distribution and fine-granularity candidate category probability distribution, and performing calculation based on the coarse-granularity candidate category probability distribution and the fine-granularity candidate category probability distribution to obtain a preliminary anomaly recognition result of the time window; and based on the preliminary anomaly identification result of e time windows, a multi-window verification and state maintenance mechanism is adopted, and a final anomaly category is output, so that the whole process optimization of processing anomaly from rapid early warning and fine classification to reliable decision making is realized, the false alarm and missing report rate is reduced, the system robustness is improved, and the processing safety and quality are finally guaranteed.

This utility model discloses a support device for deep trench excavation, comprising multiple support modules that can be detachably stacked. Each support module includes: a pair of parallel support walls, multiple hydraulic telescopic rods, and fixing components. The outer wall of the support wall abuts against the sidewall of the trench, and the inner wall of the support wall has multiple vertically arranged slide rails. The ends of the hydraulic telescopic rods slide in engagement with the slide rails, and both ends of each hydraulic telescopic rod slide in engagement with two slide rails of the two support walls respectively. The fixing components allow for detachable and fixed connection between the ends of the hydraulic telescopic rods and the slide rails. This design solves the problem of poor adaptability of existing support devices to trench depth and width.

This invention discloses a power amplifier and electronic device employing a thin-gate device. The power amplifier uses a fully thin-gate low-threshold voltage transistor architecture, amplifying signals through multiple parallel cascode amplification units. The gate of the input stage transistor is coupled to the input signal via a DC-blocking capacitor, and the drain of the cascode transistor is connected to the power supply via an inductor. By introducing a segmented complementary gain control strategy—selectively turning off the input stage transistor while keeping the cascode transistor on in the high-power output range, and selectively turning off the cascode transistor while keeping the input stage transistor on in the low-power output range—this invention overcomes the performance limitations of traditional hybrid gate oxide schemes, significantly reducing parasitic capacitance and dynamic power consumption, and improving conversion efficiency. It simultaneously resolves the contradiction between the withstand voltage safety and deep turn-off of thin-gate devices, ensuring reliability across the entire power range; and simplifies the manufacturing process and optimizes current efficiency.

This application discloses a damage detection method, electronic device, storage medium, and computer program product, relating to the field of nondestructive testing technology. The method includes: scanning a composite material to be tested using a terahertz time-domain spectroscopy system to obtain the original time-domain echo signal of the composite material, wherein the composite material to be tested is a glass fiber reinforced polymer composite material; preprocessing the original time-domain echo signal to obtain target image data; extracting features from the target image data to obtain damage features; predicting the geometric offset of the damage features; and locating the damage target in the composite material to be tested based on the geometric offset and the damage features. This application solves the technical problem of poor detection effect in existing nondestructive testing technologies.

The utility model discloses a cement detection sampling device which comprises a tripod, a probe rod group and a drill bit assembly, and realizes sampling of cement at different depths through a sliding sleeve structure and a deflection mechanism. The feeler lever group controls opening and closing of the sampling groove through deflection of the outer sleeve, the drill bit assembly is of a high-frequency vibration and cone structure and can effectively penetrate through a cement layer, friction among particles is reduced, and sampling precision and efficiency are guaranteed. In addition, the cable group is used for controlling starting and stopping of the polarization motor, and the stability and reliability of the sampling process are further improved. By means of the device, multi-depth cement sampling can be achieved, comprehensiveness and representativeness of sampling data are guaranteed, and the device is suitable for quality detection of the cement storage tank.

The present application relates to the technical field of model training learning, in particular to a training method of an intent recognition model for understanding user demand in a text-to-software scenario, comprising the following steps: traversing a path to determine a level and establish a variable dimension projection mapping, generating a semantic orthogonal conflict sample, obtaining a variable dimension feature by using matrix transformation, quantifying a sibling node overlap degree to impose an orthogonal constraint, updating a weight by minimizing a positive sample distance and maximizing a conflict sample distance, and constructing a text-to-software intent recognition optimization model.In the present application, a mapping mechanism of a level position and a variable dimension projection matrix is established through a software architecture topology, a semantic orthogonal logical conflict sample is constructed and a sibling node feature branch orthogonal constraint is introduced, the feature representation of parallel architecture branches is forced to separate in a vector space, the distance between logical conflict samples is maximized and the semantic overlap of similar function nodes is eliminated, and a high-differentiation decision boundary is constructed to accurately analyze complex nested instructions.