10results about How to "Reflect characteristics" patented technology

The invention discloses a calligraphy stroke feature extraction method and system based on a fixed-size grid. The method relates to the technical field of stroke feature extraction, and comprises the following steps of calligraphy stroke image preprocessing and grid division, grid-based stroke space distribution feature extraction, size feature extraction, grid-based stroke direction feature extraction and feature fusion and output. The method comprises the following steps: S1, normalizing a binary image of calligraphy strokes to a fixed canvas and dividing the binary image into grids; s2, calculating the stroke density of each grid and constructing a density feature vector; S3, refining the image to obtain a skeleton, calculating a direction field and generating a direction feature vector; and finally, the two vectors are connected in series and fused, and a joint feature vector is output for a subsequent task, so that the calligraphy stroke feature extraction accuracy is improved, and the problem of low calligraphy stroke feature extraction accuracy caused by insufficient understanding of dynamic essence, complex form and high-level semantics of calligraphy art in the prior art is solved.

The invention relates to the technical field of laser cleaning, in particular to a laser cleaning method and system suitable for a complex special-shaped component, and the method comprises the following steps: building a three-dimensional grid model of the complex special-shaped component; based on the three-dimensional grid model, segmentation is carried out according to the vertical direction and the horizontal direction in sequence in consideration of curvature changes of the surface of the complex special-shaped component, and corresponding segmentation models are obtained; generating laser cleaning path nodes based on the segmentation model, and performing iterative calculation according to a selected optimization algorithm to generate an optimal laser cleaning path; and a laser is driven to conduct cleaning operation along the optimal laser cleaning path, in the operation process, the laser cleaning effect is monitored synchronously, and relevant control parameters are dynamically adjusted according to the laser cleaning effect, so that the cleaning effect is ensured. By means of the method, efficient, uniform and lossless cleaning of the surfaces of the complex special-shaped components can be achieved.

The application provides a kind of multi-agent distributed collaborative traffic right dynamic allocation method and system for low-altitude mixed traffic, the method is through multi-source sensor collection unmanned aerial vehicle state and environmental data, constructs dynamic airspace model using Voronoi time-space adaptive division and neighbor discovery algorithm.System uses improved multi-agent deep deterministic policy gradient algorithm, fusion task priority and neighbor machine interaction information, calculate the priority and candidate control action of passing.Combined with trajectory prediction, conflict risk assessment is carried out, and speed, heading and height fine tuning instructions are generated, which can realize collaborative decision-making and closed-loop control without centralized scheduling.The application has the advantages of decentralization and intelligence, can adapt to high density and high dynamic operation characteristics, effectively avoid conflict risk, improve airspace utilization efficiency and traffic safety, and is suitable for urban low-altitude commuting and logistics transportation scenes.

The application discloses a hypertension patient personalized dosing decision system based on continuous blood pressure monitoring and relates to the fields of biomedical engineering and intelligent medical treatment. The application generates a candidate drug class set through an etiology tendency subtype analysis mechanism, so that drug class selection no longer depends on general experience rules, but can be combined with patient phenotype characteristics and available laboratory indexes for narrowing and screening, so as to select a drug class related to the hypertension cause of the patient as much as possible, and the personalized degree of the dosing decision is improved. The application constructs a mechanism model composed of pharmacokinetics, pharmacodynamics and cardiovascular circulation regulation, so that the dosing condition and the blood pressure response have a clear intermediate transmission relationship, therefore, the predictability of the prediction process and the decision result can be improved, and the blood pressure response differences under different drug classes and different doses are favorable for analysis.

The application provides an arch dam simulation analysis method and system based on terrain and geological reconstruction, which comprises the following steps: based on dam body parameterization control information, generating dam body flood discharge orifice, full-elevation radial twist surface transverse joint and foundation surface transition thin layer, and constructing an arch dam body structure model; based on terrain and geological data, reconstructing dam shoulder slope, and establishing a closed excavation simulation terrain model; based on weathering layer and structure surface information, constructing a geological partition model through topological cutting, boundary closing and redundant body elimination; integrating the arch dam body structure model and the geological partition model; classifying, extracting and segmenting dam body structure control lines, excavation boundary control lines and structure surface control lines, and generating an overall three-dimensional finite element grid; according to the partition result, corresponding material parameters are given, boundary conditions and external loads are applied for numerical solution, so that fine simulation analysis and result output of an arch dam-foundation system under real terrain and geological conditions are realized.

The present application relates to the technical field of traditional Chinese medicine detection, and specifically provides a characteristic spectrum construction method of Herba Centipedae and its preparation. A specific elution procedure is obtained through a large number of experiments by using octadecylsilane bonded silica gel as a filler and a mobile phase including methanol and an acid-containing aqueous solution for gradient elution, 13 or more common characteristic peaks are obtained, and effective separation of characteristic peaks including neochlorogenic acid, caffeic acid, chlorogenic acid, cryptochlorogenic acid, 1,4-dicaffeoylquinic acid, 1,5-dicaffeoylquinic acid, big pothos glycoside and thymotin lactone ketone is achieved, the peak shape is good, the baseline is smooth, the determined components can be completely separated, the detection time is short, and the method provides a basis for quality detection and control of Herba Centipedae and its preparation, can fully reflect the integrity and characteristics of Herba Centipedae and its preparation, and is simple to operate and applicable to quality control of different preparation types of Herba Centipedae.

The invention relates to the technical field of concrete detection, and discloses SBS modified asphalt concrete permeability detection equipment which comprises a base, a supporting table, a side plate, a sealing limiting assembly, a vibration excitation assembly, a data acquisition assembly, a sensing monitoring assembly, an environment simulation assembly and a control system. A supporting plate for supporting an asphalt sample is arranged on the supporting table, and a water storage cavity is formed among the side plate, the supporting table and the base; the sealing limiting assembly is used for selectively cooperating with the supporting table to form a test chamber; the vibration excitation assembly is used for generating air pressure waves to apply vibration for simulating a traffic load to the asphalt sample; the data acquisition assembly is used for acquiring vibration spectrum and sound wave attenuation characteristics of the asphalt sample; the sensing monitoring assembly is used for collecting acoustic signals and thermal field signals of an asphalt sample; the environment simulation assembly is used for adjusting the temperature and humidity in the test chamber. According to the invention, the pressure generated by the tire on the road surface can be simulated more accurately, so that the accuracy of asphalt sample testing can be improved.

The invention discloses a business virtual cluster identification method for performing fuzzy clustering on power consumption data, and belongs to the technical field of intelligent regulation and control of a power system. The method comprises the following steps: extracting a load vector from processed power consumption data based on the size of a rolling window; carrying out fuzzy clustering on the load vectors of all commercial users to obtain a fuzzy clustering result; adjusting a virtual cluster corresponding to each business user based on the fuzzy membership matrix of each business user, determining a virtual cluster center load vector corresponding to the adjusted virtual cluster, drawing a load curve based on the virtual cluster center load vector, and taking the load curve as a load mode of the adjusted virtual cluster; evaluating each adjusted virtual cluster, and outputting a load mode corresponding to the adjusted virtual cluster when the evaluation is passed; and performing power dispatching on each adjusted virtual cluster based on the corresponding load mode. The method is suitable for intelligent aggregation and dynamic classification scenes of large-scale commercial load data.

This invention provides a method and system for harmonic mitigation in islanded microgrids. The method includes modeling an average model of the inverters in an islanded microgrid system with multiple inverters connected in parallel and containing nonlinear loads using the state-space averaging method; optimizing the inverter control using a low-frequency voltage compensation controller and a high-frequency disturbance compensation controller optimized based on the gradient descent method based on the average model of the inverters; estimating the state variables and harmonic disturbances of the islanded microgrid system using a second-order linear state observer designed based on the bandwidth tuning method; and mitigating the microgrid voltage harmonics caused by nonlinear loads using a linearized active disturbance rejection control method based on second-order sliding mode based on the estimated state variables and harmonic disturbances of the islanded microgrid system. This invention significantly improves the dynamic performance and robustness of harmonic compensation in microgrids.

This invention discloses a vehicle-machine collaborative scheduling method for onshore wind farm inspection, comprising: combining trucks and drones into inspection units as the basic execution units for completing wind farm inspection tasks; acquiring and organizing basic information on wind farm inspection scheduling; establishing a vehicle-machine collaborative scheduling model for onshore wind farm inspection, with the objective function being minimizing the total inspection cost under constraints; using a genetic algorithm based on a neighborhood search strategy to solve the model and obtain the optimal wind farm inspection scheduling scheme; and generating truck driving paths and drone inspection paths based on the optimal scheme to complete the wind farm inspection task. This invention solves the technical problem in existing technologies where truck path planning and drone task allocation fail to coordinate effectively, leading to insufficient rationality in inspection resource allocation, inability to maximize operational efficiency, and consequently increased inspection costs and reduced inspection quality. It has good application prospects and promotional value.