39results about How to "Improve fineness" patented technology

This application discloses a method and related equipment for evaluating the smoothness of in-vehicle infotainment systems, relating to the field of vehicle testing technology. The method includes: acquiring a recorded video stream of the in-vehicle interaction process of a target vehicle; parsing and processing the recorded video stream to obtain temporal data of the visual features of the in-vehicle infotainment system during the interaction process; determining quantitative information on the smoothness of the target in-vehicle infotainment system based on the temporal data of the visual features; and generating a smoothness score characterizing the smoothness of the in-vehicle infotainment system based on touch response latency, animation frame dropping features, and stuttering features. This application, by parsing and extracting temporal data of the visual features from the recorded video stream of the in-vehicle interaction process, quantifying touch response latency, animation frame dropping features, and stuttering features, and generating a unified smoothness score, can achieve an objective, detailed, and comprehensive evaluation of the smoothness of the in-vehicle infotainment system.

The application provides a kind of metal product processing control method and system based on three-dimensional modeling, it is related to computer technology field, first, the design requirement file of the metal product to be processed is obtained, including structure description and material attribute data, initial three-dimensional framework data and initial internal structure data are generated by three-dimensional structure analysis and combined into product initial three-dimensional model data;Then, the product initial three-dimensional model data is subjected to surface subdivision reconstruction processing to obtain product finishing three-dimensional model data;Then, a preset metal material stress feedback model is called to perform layer-by-layer forming simulation analysis, and a processing simulation feedback data set is generated;Finally, a continuous processing instruction sequence for driving machine tool motion control is generated according to the processing simulation feedback data set.The application realizes accurate control of the metal product processing process, improves the processing precision, efficiency and quality stability, and reduces the cost.

An embodiment of the present invention discloses an LED driving PWM pulse width modulation device and method. The device includes: a grayscale data module for splitting grayscale data into high-bit grayscale data and low-bit grayscale data, and generating first high-bit grayscale data and second high-bit grayscale data based on the high-bit grayscale data; a PWM counter for counting PWM clock signals and dividing the PWM clock signals into high-bit clock data and low-bit clock data; a selector for time-division multiplexing either the first high-bit grayscale data or the second high-bit grayscale data to the PWM pulse width generation module based on the decoding result of the decoder; and the PWM pulse width generation module for outputting a PWM pulse width signal based on the first high-bit grayscale data, the second high-bit grayscale data, and the low-bit clock data. This device improves the visual refresh rate while maintaining the display grayscale and enhancing the display's detail.

The application provides a city surface area classification method and related equipment. The city surface area classification method comprises: obtaining a first target parameter of a to-be-determined city surface area, the first target parameter comprising a characteristic building height, an average building height, a building height standard deviation, a building coverage rate, an impervious surface ratio, a characteristic vegetation canopy height, an average vegetation canopy height, and a vegetation coverage rate of the to-be-determined city surface area; inputting an electronic map corresponding to the to-be-determined city surface area and the first target parameter into a city surface area classification model to obtain a city surface area type corresponding to the to-be-determined city surface area output by the city surface area classification model, the city surface area type being used for analysis or simulation of heat waves, air quality, and extreme weather of the to-be-determined city surface area. In the application, the fineness and determination accuracy of the city surface area type are improved.

The application discloses a kind of laser direct writing gray exposure parameter prediction methods based on neural network, belong to gray exposure technical field.This method is used to solve the problem of low efficiency caused by relying on a large number of experimental dose test in traditional gray exposure, inaccurate parameter optimization and insufficient accuracy of prediction model.The technical solution is as follows: first, the data of gray and etching depth under different exposure parameters are obtained by experiment to train the forward neural network model;then, the exposure time that makes the predicted depth greater than the target maximum depth is found by fixing the light intensity and using the model;finally, the gray value matched with the target depth is obtained based on the determined exposure parameters.The application can quickly and accurately predict the optimal exposure time, light intensity and gray value according to the target etching depth, thereby eliminating the repeated dose test process.

This invention discloses a method for diagnosing self-discharge anomalies in energy storage battery packs based on short-term charging data, belonging to the field of battery safety monitoring technology. Addressing the shortcomings of existing methods that rely on complete charge-discharge cycles and are difficult to adapt to multi-stage varying operating conditions, this invention extracts features from multi-stage charging data, combines an autoencoder to achieve adaptive extraction of features under multiple operating conditions, and constructs a data-driven model fused with GCN-BiLSTM (Graph Convolutional Network-Bidirectional Long Short-Term Memory) to accurately estimate the RCC (Remaining Charging Capacity) of individual battery cells. Finally, based on the size, distribution, and changes of the RCC of each individual cell in the battery pack, we can diagnose overall battery pack inconsistencies, individual cell SOC inconsistencies, and self-discharge faults. This provides a guarantee for the safe operation of energy storage systems.

This invention discloses a high-performance computing-based system and method for evaluating colorectal cancer screening strategies, belonging to the field of medical information processing technology. It includes: a dual-pathway disease model module supporting both adenoma-carcinoma pathways and serrated adenoma pathways, modeled using age-dependent normal distribution progression time; an individualized risk scoring module integrating risk factors such as family history, inflammatory bowel disease, obesity, and diabetes; a screening strategy simulation module supporting combined screening strategies using different tools, employing compliance parameters specific to the Chinese urban population; a high-performance computing module using Numba JIT compilation technology for acceleration, multi-process parallel processing for further acceleration, and data structure optimization such as integer age to reduce memory usage; and a health economics evaluation module calculating indicators such as QALY, LYG, and ICER. This invention achieves significant performance improvements while maintaining model accuracy, greatly reducing simulation time for large-scale populations.

The application discloses a geospatial data management method and system based on quality control and bloodline tracing. The method comprises the following steps: constructing a unified metadata warehouse, storing model and field metadata, and establishing a model version sequence for different time snapshots; calculating stable identifiers for each version of spatial features through business primary keys or spatial fingerprints generated based on standardized geometry, pairing cross-version features, identifying and recording feature-level spatio-temporal bloodline evolution relationship; then calculating spatial feature cross-time geometry change metrics, combining with the acquisition or inference of legal change reasons, implementing spatio-temporal consistency quality judgment and outputting graded quality inspection results; finally, according to the graded quality inspection results, quality access judgment is performed, a differentiated access control decision is generated, and a quality report is output in association with the feature-level spatio-temporal bloodline. The application realizes automatic bloodline tracing and consistency quality inspection of geospatial data in the version evolution process, and improves the reliability and auditability of data management.

The application discloses a dengue fever prediction and early warning system based on heterogeneous data fusion and a graph neural network, and relates to the technical field of infectious disease prediction and early warning. The data acquisition module is used for acquiring case data, meteorological data, remote sensing vegetation index data, population flow data and social media sentiment data. The dengue fever prediction and early warning system based on heterogeneous data fusion and the graph neural network effectively improves the accuracy and precision of dengue fever epidemic prediction by integrating multi-source heterogeneous data and constructing a dynamic multi-dimensional graph structure for spatio-temporal coupling prediction. The use of a graph attention network and a time convolution network captures complex spatial dependence and temporal dynamics, and the use of a parallel model cross-verification and arbitration mechanism enhances the reliability of the prediction results, improves the sensitivity and stability of risk identification, and reduces false positives.

The application discloses a kind of sparse point cloud and GCN fusion's citrus defect detection method and system, the point cloud of citrus data set is input into GCN_PointNet++ model in the application, the GCN_PointNet++ model combines GCN with PointNet++ network and carries out feature transmission by PaConv module;GCN_PointNet++ model is distilled by BIFPN, and the total distillation loss function is obtained by combining BIFPN distillation label to guide student network training, and the best point cloud segmentation result is obtained, that is, citrus defect segmentation point cloud model;Based on citrus defect segmentation point cloud model, three-dimensional reconstruction is carried out on citrus, three-dimensional point cloud mesh file is established, and the area of defects is calculated according to the surface formed by the mesh.The application realizes the accurate segmentation of citrus defect point cloud and the accurate quantification of citrus defect area.

The utility model discloses a special submicron active heavy calcium carbonate pulverizer of BOPP film, including the pulverization box, the lower fixed joint of pulverization box has the connecting disc, the inside upper end of pulverization box rotatory mounting has the pulverization roller, the inside fixed connection of pulverization box has the fixed base, the inside of fixed base is equipped with conical grinding groove, the lower surface fixed connection of fixed base has the fixed frame, the lower surface fixed mounting of fixed frame has the motor, one end rotatory mounting of motor has the grinding roller, the upper surface of grinding roller is equipped with the conical head, the inside rotatory mounting of grinding roller is in conical grinding groove, the outer surface fixed sleeve of motor has the protection cylinder, the upper surface of pulverization box is equipped with the long strip hopper, the both sides of long strip hopper are equipped with the long strip through groove, the inside sliding installation of long strip through groove has the adjusting rod, avoids the jamming, is favorable to the maintenance, safe and stable, and the adaptability is high.

The application belongs to the technical field of artificial intelligence, and relates to a visual language model dynamic multi-teacher hierarchical distillation training method and system. The method comprises the following steps: S1: training sample construction and model initialization; S2: hidden state sequence and output distribution acquisition; S3: sample level dynamic distillation control coefficient construction; S4: token level dynamic distillation control coefficient construction; S5: language distillation signal generation; S6: visual distillation signal generation; S7: output layer multi-teacher distillation loss calculation; S8: intermediate representation distillation loss calculation; S9: total loss function construction; and S10: distillation training. The method can balance language ability recovery and visual positioning ability maintenance, thereby improving the comprehensive performance and training stability of the visual language model.

This utility model relates to the field of soft wall surface spraying technology, and discloses a wall spraying device, including a mounting base plate. Support rods are fixedly connected to the four corners of the top left side of the mounting base plate. A top plate is fixedly connected to the top of the support rods. A stirring and dispersing mechanism is fixedly connected to the top of the top plate. An adjusting mechanism is fixedly connected to the top right side of the mounting base plate. The stirring and dispersing mechanism includes a stirring bucket, the outside of which is fixedly connected to the inside of the top plate. A support frame is fixedly connected to the top of the stirring bucket. In this utility model, a concave cam can rotate a sieve plate, which in turn can compress a return spring, causing the return spring to deform and preventing the sieve plate from falling off. This allows for the mixing and dispersing of raw materials. The stirring and dispersing process can fully break down and disperse lumps and particles in the paint, giving the paint good fluidity and fineness.

The invention relates to the technical field of natural product extraction and separation, and discloses a spore oil preparation method with a high ganoderma triterpenoid extraction rate, the method comprises pretreatment, supercritical extraction, separation treatment and purification treatment, impurities and dust are removed through screening treatment to obtain pure spores, and the spores are dried to obtain the ganoderma triterpenoid spore oil with the high ganoderma triterpenoid extraction rate. Wall-breaking treatment is carried out by combining a low-temperature superfine grinding technology, so that the spore powder achieves high fineness and high wall-breaking rate, spore cell walls are destroyed, and the specific surface area is increased, thereby ensuring that ganoderma triterpenes are fully dissolved out in the subsequent supercritical extraction process, and improving the extraction rate; the extraction pressure and the extraction temperature are controlled, an entrainer ethanol is added, the dissolving property of supercritical carbon dioxide is improved, polar components such as ganoderma triterpenes are efficiently extracted, meanwhile, through preheating treatment, temperature impact is reduced, component degradation is avoided, and the stability and the extraction efficiency of the extraction process are guaranteed.

This application provides a coal production prediction method based on a detailed 3D model of a coal mining face, relating to the field of coal production prediction. The method includes: collecting boundary data of the exposed dip profile behind the strike of the coal mining face; extracting discontinuity boundary lines from the boundary data; performing polynomial fitting and extension on the discontinuity boundary lines to obtain prediction boundary data for the dip profile to be predicted; constructing a detailed 3D model of the coal mining face based on the prediction boundary data of the dip profile to be predicted; meshing the detailed 3D model of the coal mining face, obtaining the ash content value of each mesh using spatial interpolation, and calculating the average ash content of each mesh; obtaining the number of meshes corresponding to the coal seam and rock strata in the preset mining area, and predicting the coal production based on the corresponding number of meshes. This application enables production prediction to be directly correlated with the spatial occurrence morphology of coal and rock, improving the accuracy and reliability of the prediction.

This utility model relates to the field of traditional Chinese medicine processing technology, and discloses a medicinal material pulverizing device for preparing medicinal soups, including a processing shell and a support plate. The support plate is fixedly sleeved on the lower part of the outer wall of the processing shell, and a crushing component for pulverizing medicinal materials is installed in the upper part of the processing shell. During the crushing process, the water-cooling component cools the hollow pulverizing roller, effectively reducing the frictional temperature rise during pulverization, preventing the medicinal materials from softening and sticking together at high temperatures, and simultaneously enhancing the low-temperature brittleness of the medicinal materials, making them easier to pulverize, thereby improving pulverization efficiency and fineness. It also effectively prevents heat-sensitive components in the medicinal materials from being affected by high temperatures, ensuring the stability of the effective components. Simultaneously, a fan starts working, blowing air into the interior of the hollow pulverizing roller, significantly enhancing the heat dissipation effect. The forced airflow carries away the heat accumulated inside the hollow pulverizing roller, improving the heat dissipation and cooling effect.

This invention discloses a flexible silicone mechanical gripper based on the coordinated sensing of piezoelectricity and triboelectricity, comprising a drive unit assembly, a transmission mechanism, and a flexible gripper with multimodal sensing capabilities. The drive unit converts rotational motion into the opening and closing action of the gripper via the transmission mechanism. A piezoelectric sensing system for detecting contact deformation is integrated inside the gripper, and a triboelectric sensing system for sensing contact state is provided at the tip of the gripper. The piezoelectric and triboelectric sensing systems are electrically connected to an external signal acquisition circuit via independent wires. By coordinating the acquisition of sensing signals from different areas, this invention can achieve functional zoning sensing for different operational tasks within the same flexible mechanical gripper structure, avoiding the problem of insufficient adaptability of a single sensing mechanism under complex underwater conditions.

This invention relates to the field of noodle processing technology, specifically to a type of buckwheat noodle and its preparation method. The raw materials for this noodle include sweet buckwheat flour, bitter buckwheat flour, quinoa flour, and yam flour, with the addition of gallic acid, chili straw ash extract, and appropriate amounts of salt, sodium bicarbonate, and warm water. All raw materials undergo screening and processing, and the chili straw ash extract is prepared according to a specific process. The preparation method includes eight steps: raw material pretreatment, dough mixing, proofing, rolling and cutting, pre-drying, steaming and shaping, cooling and drying, and packaging and storage. The process parameters for each step are optimized. This invention uses a combination of gallic acid and chili straw ash extract as a natural improver to solve the problems of poor elasticity, easy breakage, and mushy soup production in buckwheat noodles. It combines various grain flours to achieve nutritional balance, a chewy texture, and no chemical additives. The process is simple, suitable for industrial production, and effectively extends the shelf life.

This application provides a method, device, electronic device, and storage medium for controlling the viewpoint in a game, relating to the field of game technology. It includes: determining at least one second game vehicle based on the player's action commands; and adjusting the shooting angle of a virtual camera based on the relative positional relationship between the first game vehicle and each of the second game vehicles. This method can determine at least one second game vehicle located around the first game vehicle controlled by the player through the player's action commands. Based on the relative positional relationship between the first and second game vehicles, the shooting angle of the virtual camera can be adjusted so that, under the adjusted shooting angle, the player can observe some or all of the second game vehicles located around the first game vehicle. This allows the player's viewpoint to no longer be limited to directly in front of the first game vehicle, enabling dynamic and flexible observation of the surrounding situation, thus enhancing game immersion and the overall gaming experience.

This invention provides a method, apparatus, and equipment for testing the combined hybrid power system efficiency. Relating to the field of vehicle testing technology, the method includes: acquiring multiple sets of driving parameters and multiple sets of energy consumption input parameters of a vehicle operating under target conditions using a hybrid power system within a target test duration; calculating the output energy of the hybrid power system within the target test duration based on the multiple sets of driving parameters; calculating the input energy of the hybrid power system within the target test duration based on the multiple sets of energy consumption input parameters; and determining the combined hybrid power system efficiency under the target conditions based on the output energy and input energy. This method focuses on the actual operating conditions of the vehicle, and by acquiring multiple sets of driving parameters and energy consumption input parameters, calculating the output energy and input energy step by step, and determining the combined hybrid power efficiency, it can accurately reflect the actual energy efficiency level of the hybrid power system, improving the accuracy and reliability of the test results.

This application discloses a model training method, an audio processing method, an electronic device, and a storage medium, relating to audio processing technology and large model technology. The method includes: acquiring an emotional speech dataset and a predefined anchor set, wherein the predefined anchor set is used to define multiple different types of emotion categories; training an initial emotion dimension prediction model based on the emotional speech dataset and the predefined anchor set to generate a target emotion dimension prediction model, wherein the target emotion dimension prediction model is used to map discrete emotion feature vectors corresponding to the emotional speech dataset to a multi-dimensional emotion space to guide the emotional speech synthesis model to predict the acoustic details corresponding to the prompt audio. This application solves the technical problems of related technologies where emotional speech synthesis systems rely on emotional speech data, have high training costs, and suffer from poor precision in emotion control and complex emotion simulation.

This invention discloses a stepped steer-by-wire redundancy control method and system for steering actuator failure, applicable to intelligent electric vehicles with independent steering and drive for all four wheels. When steering actuator failure is detected, the location of the failed wheel is determined and its steering angle is locked. Based on the state of the remaining healthy steering wheels, the maximum yaw moment they can provide is estimated in real time using a tire model. The total required yaw moment is calculated based on driver input and vehicle status. By comparing the two values, a compensation mode is automatically selected: if the steering force is sufficient, a pure steering compensation mode is entered, optimizing only the steering angle of the healthy wheels; if the steering force is insufficient, a hybrid compensation mode is entered, first controlling the healthy wheels to operate in the optimal efficiency state, then calculating the missing steering force step size and compensating through differential torque. This invention pre-sets differentiated strategies for multi-wheel failure scenarios, achieving stepped safety protection from single-wheel to multi-wheel failure, improving vehicle safety, and is low-cost and robust.

The application discloses a point supervision semantic segmentation model construction and segmentation method based on SAM and CNN feature fusion, comprising the following steps: step one, acquiring remote sensing image data as a training set, and performing point labeling on target ground objects in the remote sensing image data to obtain a point label set, wherein the point label set is the category and position of the target ground objects; a point supervision semantic segmentation model is constructed; object structure information generated by using a convolutional neural network branch and a SAM driven fusion branch is used to realize collaborative modeling of image semantic information and structure information in combination with a cross-level fusion module CFM; meanwhile, under the condition of point supervision, the model can enhance the integrity control of the target region, improve the boundary positioning accuracy, and reduce the category confusion phenomenon, thereby significantly improving the effect of remote sensing image semantic segmentation. The technical problem that the existing point supervision semantic segmentation method is difficult to fully utilize image structure information and semantic information under the condition of sparse supervision information is solved.

The application relates to the technical field of tea processing, and particularly discloses a method for symbiotic tea making of natural solid material and tea leaves and a product. The method comprises the following steps: S1, adopting tea leaf raw materials capable of fermentation, post-fermentation or aging; S2, adopting one or more whole pieces of natural solid material, which is not subjected to dyeing, glue injection, pickling or chemical optimization treatment; S3, performing cleaning, sterilization and air-drying pretreatment on the natural solid material; S4, placing the pretreated whole piece of natural solid material in the same coexistence space as the tea leaves for joint storage; S5, performing fermentation, post-fermentation or aging on the tea leaves in a suitable environment; and S6, aging and drying. The symbiotic tea making product can be used in the fields of high-end tea market, collection and special tea drinking, has the advantages that the tea leaves are more evenly fermented and aged, the tea soup quality is softer and more mellow, and the high-end recognition and collection value of the product can be significantly improved through the synergistic transformation of the natural solid material.

This application discloses a global soil moisture inversion method and system based on reduced polarization GNSS-R, belonging to the field of satellite remote sensing and geophysical parameter inversion technology. The method includes: acquiring reduced polarization GNSS-R observation data of the target area; calculating the polarization ratio based on the reflectance of the first polarization channel and the reflectance of the second polarization channel; acquiring the soil clay content at the grid point corresponding to the specular reflection point in the target area; and inputting the polarization ratio and soil clay content into a preset soil moisture inversion model to calculate the soil volumetric water content. This application utilizes the reflectance ratio of polarization combinations to naturally offset the influence of vegetation and roughness, and constructs a linear inversion model that only requires soil clay content as a static parameter. This solves the technical problem of existing technologies relying on external auxiliary data and being unable to achieve near-real-time independent inversion, realizing soil moisture monitoring without external data and with high spatiotemporal resolution.

This invention solves the problem of insufficient uniformity in straw grinding in a single-layer grinding area, relating to the field of cell wall breaking and pulping technology, and particularly to straw cell wall breaking and pulping equipment. It includes a crushing mechanism, a collecting cylinder installed at the bottom of the crushing mechanism, a grinding component inside the collecting cylinder, a pipe assembly for spraying water onto the grinding component fitted into the collecting cylinder, and an outlet pipe inserted into the side of the collecting cylinder. The grinding component includes a positioning grinding disc installed in the middle of the collecting cylinder, and a grinding sleeve rotatably installed inside the collecting cylinder that fits with the positioning grinding disc. Multiple grinding areas are formed between the grinding sleeve and the positioning grinding disc. A gear ring is fitted on the outer surface of the grinding sleeve, and a drive structure connected to the gear ring is installed on the outer surface of the collecting cylinder. This invention, by combining a crushing mechanism and a grinding component, and forming multiple grinding areas within the grinding component, allows for finer processing of straw, achieving a higher fineness through gradual refinement.

This utility model discloses a robotic arm for handling vacuum gauge sensing components, comprising: a base plate with a control board and an operator; a first servo motor with a rotating disk on its upper part; a first rocker arm hinged to the rotating disk, with a second servo motor mounted on the first rocker arm; a second rocker arm hinged to the first rocker arm, with a third servo motor mounted at the hinge point; and a gripper located at the end of the second rocker arm. The base plate, first rocker arm, second rocker arm, and gripper are all made of non-metallic materials. The gripper includes a support plate, a toothed swing arm, a clamping arm, and a connecting arm. The toothed swing arms are rotatably mounted on the support plate, and the two toothed swing arms mesh with each other. One of the toothed swing arms is connected to a fourth servo motor. One end of the connecting arm is hinged to the support plate, and the other end of the connecting arm is hinged to the clamping arm. The toothed swing arm and the clamping arm are also hinged. The use of non-metallic materials provides excellent insulation and anti-static properties, effectively preventing electrostatic damage and improving operational safety when handling electrostatically sensitive components.

The utility model relates to a slush machine's ice slush preparation device for making ice for being put into the beverage cylinder inside slush machine, including evaporimeter, evaporimeter includes the inner tube and outer tube of coaxial arrangement, and the outer tube interval cover sets up the outside of inner tube, to make the interlayer between inner tube and outer tube form annular condensation chamber, and this condensation chamber simultaneously refrigerates inner tube and outer tube, still including outer screw holder, and the first ice outlet channel that the outer screw holder forms on the outer wall of outer tube is used for advancing the ice slush on outer wall of outer tube, inner screw rod, and the second ice outlet channel that inner screw rod forms is used for advancing the ice slush in inner tube, and inner screw rod and outer screw holder transmission connection to the same power assembly, to form synchronous movement. The utility model has the beneficial effect that: adopt inner tube inner wall + outer wall of outer tube double wall synchronous refrigeration, and simultaneously adopt double screw synchronous advancement + ice area precision link design, promote the delicacy of ice slush, and more meet the quality demand of consumer to " dense slush " quality improvement ice efficiency.

This invention relates to the field of intelligent management technology and discloses an intelligent maintenance plan budgeting system based on historical data. The system includes: mapping maintenance records to pipe bundle support units to reconstruct circumferential damage distribution; extracting eccentric wear and historical maintenance offsets from the pipe bundles; constructing an equipment state set based on component reachability depth and predicting future maintenance work packages; and using a particle swarm optimization algorithm to perform adaptive optimization based on pipe bundle residual failure risk, disassembly and rework costs, and time sequence imbalance, thereby decoding and generating a maintenance work quantity list. This invention identifies locally concentrated maintenance volumes, improving the rationality of resource budgeting and maintenance scheduling.