18results about How to "Accurate solution" patented technology

The invention discloses a power distribution network photovoltaic consumption capability improving method considering time-space characteristics of rural electric vehicles, and belongs to the technical field of power distribution networks. The method comprises the following steps: constructing a rural electric vehicle charging and discharging behavior model based on a rural road condition, a meteorological condition and a temperature; determining a rural electric vehicle charging load curve and regulation potential based on the rural electric vehicle trip chain and the rural electric vehicle charging and discharging behavior model; the actual charging and discharging power range of the electric vehicle can be determined based on the charging load curve and the regulation potential of the rural electric vehicle, constraint conditions are constructed based on the actual charging and discharging power range of the electric vehicle, and a power distribution network optimization scheduling model which comprises a target function and the constraint conditions and faces the improvement of the photovoltaic consumption capability is constructed; and solving the power distribution network optimization scheduling model by using a grey wolf algorithm. According to the invention, the relation among the economy, the safety and the photovoltaic absorption capability can be effectively balanced.

This invention discloses an adaptive optimization method for optical scattering measurement. It involves parametrically modeling the nanostructure to be measured and building a basic coarse-grained sample library. A coarse-grained surrogate model is then trained based on this sample library, enabling rapid identification of multiple key regions. Adaptive sampling is then performed based on these key regions to build a fine-grained sample library. A fine-grained surrogate model is further trained based on this library, and this model performs fine-grained search optimization within the key regions to find the optimal values ​​within these regions. These optimal values ​​represent the relevant parameters of the sample to be measured. This invention can narrow the search range and rapidly build the library using a variable-grained surrogate model, and improve optimization efficiency through an adaptive optimization strategy, thereby achieving accurate and efficient solution for the relevant parameters of the sample to be measured.

The application discloses a kind of fuel cell proton membrane multi-component gas synchronous separation test methods, belong to material performance test technical field, it includes obtaining proton exchange membrane initial chamber parameter, by electromagnetic heating and spray humidification adjustment, build target temperature and humidity environment;Multi-component mixed gas is injected to high-pressure cavity and drives penetration, generates transmembrane pressure difference parameter and mixed permeation gas;Permeation gas is guided into water-resistant chromatography channel and is carried out gas-liquid-solid distribution processing, and output single component sequence;The change of sequence thermal conductivity is measured and is converted into electrical signal, generates concentration response signal;Model solution is carried out in combination with pressure difference parameter and response signal, and water vapor and multi-component gas permeability are obtained synchronously.The application adopts dynamic environment regulation and control technology of electromagnetic heating and spray humidification, combines water-resistant chromatography separation and thermal conductivity detection, can realize the synchronous, quantitative test of water vapor and multiple permeation gases of fuel cell proton membrane under multiple working conditions.

The invention relates to the technical field of machine vision and image processing, and discloses a non-ferrous metal intelligent impurity removal analysis method based on machine vision, and the method comprises the steps: collecting and correcting the hyperspectral time sequence data of the melt surface; constructing a spectrum prior weighted optical flow energy functional to calculate an accurate motion field capable of retaining a material boundary; combining information of two physical dimensions of spectrum and motion to identify a region of interest which is different from a background melt; extracting multi-dimensional features such as rheology, relative motion and spectral stability representing rigidity, motion independence and material stability of the region for the region; and carrying out collaborative analysis based on the characteristics to judge whether the artifacts are impurities or dynamic fluid artifacts. Through multi-dimensional feature collaborative analysis and physical judgment logic simulation, the problem that targets are difficult to distinguish only by means of single visual features is solved, and the accuracy and reliability of machine vision in intelligent impurity removal analysis application of non-ferrous metals are remarkably improved.

The utility model discloses a porcelain insulator fettling and shaping device which comprises a base, the upper surface of the base is fixedly connected with a positioning frame through a vertical plate, the interior of the positioning frame is fixedly connected with an air cylinder, the output end of the air cylinder is fixedly connected with a lap joint plate, and the interior of the lap joint plate is fixedly connected with an electric push rod. A plate body is fixedly connected to the output end of the electric push rod, a pressing disc is rotatably connected to the interior of the plate body, a column body is fixedly connected to the lower surface of the positioning frame, a mounting plate is in threaded connection to the exterior of the column body, and a two-way screw is rotatably connected to the interior of the mounting plate. Through the structure, the height of the pressing disc is adjusted through the electric push rod, precise pressing of an inwards-sunken or outwards-sunken structure of the top of a green body is achieved, the shaping direction of an umbrella skirt groove can be flexibly switched through the overturning function of the pressing disc, the dressing adaptability is improved, in addition, the dressing range and size can be adjusted through the variable pitch of the outer dressing knife, and the dressing efficiency is improved. Therefore, the fettling device can meet fettling requirements of porcelain insulators with specifications of different diameters, different umbrella skirt distances and the like.

The application discloses a profile error calculation method for a numerical control machining device, and relates to the technical field of numerical control machining.The method takes a time point corresponding to an expected position point as an initial value of a Newton iteration method, determines a potential time interval in which a time point corresponding to a minimum value of a profile error evaluation function is located by using a gradient descent method, and then dynamically switches the Newton iteration method and a dichotomy method to accurately solve a target time point in the potential time interval, so that the method quickly and reliably converges to a local optimal point closest to the expected position point.The method has the speed of the Newton iteration method and the stability of the dichotomy method, improves the reliability and robustness of a profile error calculation result, and provides an efficient and stable calculation basis for subsequent profile precision control and real-time compensation.

This invention provides a method, apparatus, and storage medium for calculating the optical properties of a spacecraft surface. The method includes: Step 1, analyzing the optical properties of the micro / nano structures on the spacecraft surface to obtain the absorbance of the surface micro / nano structures; Step 2, obtaining new material information of the spacecraft surface elements; Step 3, performing element-based processing on the complex surface of the spacecraft to obtain the spacecraft element normal and solar vector information in the J2000 coordinate system; Step 4, performing hidden surface removal judgment on the solar vector and element normal to obtain effective element information; Step 5, calculating the optical scattering characteristics of the effective elements to obtain the optical cross-sectional area of ​​the elements; Step 6, summing the optical cross-sectional areas of all elements to obtain the overall optical cross-sectional area of ​​the spacecraft, and calculating the apparent magnitude to obtain the optical properties of the spacecraft. This invention has the advantage of high calculation accuracy and can achieve accurate calculation of the optical properties of the spacecraft surface.

The invention discloses a method for optimizing a speed curve of a heavy haul train in extreme weather. The method comprises the steps that a heavy-load train operation dynamic model is constructed according to the actual line condition under the extreme weather, and the constraint condition of the heavy-load train operation dynamic model considers the adhesion coefficient which changes along with the change of the train speed in the wet wheel-rail contact state; the maximum traction and braking force upper limit capable of being applied at the current running speed is calculated according to the adhesion coefficient in combination with the adhesion weight; for the constructed heavy haul train operation dynamic model, a total objective function is set by taking maximization of train operation distance per unit time, minimization of energy consumption and minimization of air braking time as objectives; and optimizing the speed curve of the heavy-load train by solving the total objective function. According to the method, the operation accuracy of the heavy haul train in the extreme weather is improved, and a solid technical guarantee can be provided for the safety and economical efficiency of heavy haul railway transportation in the future.

The invention provides an omnidirectional mobile robot path tracking method based on a triangular magnetic sensing array, and the method comprises the steps: setting an equilateral triangular magnetic sensing array in a robot, and obtaining a magnetic field signal of a magnetic strip path in real time; obtaining a signal barycentric coordinate through a barycentric positioning algorithm based on the signal, and obtaining an attitude angle deviation through pose calculation; extracting transverse deviation by combining the barycentric coordinates of the signals and the attitude angle deviation; motion planning is carried out according to the transverse deviation and the attitude angle deviation, and a target speed is generated; and inputting the target speed into a three-wheel omnidirectional motion model for inverse solution to obtain three-wheel target rotating speeds, and further driving a motor to realize path tracking. According to the omnidirectional mobile robot path tracking method based on the triangular magnetic sensor array, transverse and attitude deviations can be solved synchronously, multi-degree-of-freedom coordination tracking is realized in combination with omnidirectional motion control, the accuracy, smoothness and curve passing ability of path tracking are effectively improved, and derailing is avoided.

This invention discloses an energy-saving control method and system for cold and heat source systems based on particle swarm optimization and nested decoupling, relating to the field of building energy conservation. It solves the problem of solving the coupling parameters of building cold and heat source systems. The key technical points are: establishing an equipment group model of the building cold and heat source system, including chillers, ground source heat pumps, chilled water pumps, ground source circulating pumps, cooling towers, and buried pipes; mapping and matching the associated coupling variables with the same physical meaning among the equipment based on the equipment group model to establish a cold and heat source system group model, including chiller systems and ground source heat pump systems; and using a particle swarm optimization algorithm to optimize and solve the global control parameters of the system based on the cold and heat source system group model, outputting the optimal values ​​of the global control parameters; thus achieving optimal energy-saving control of the building cold and heat source system as well as global collaborative optimization and accurate modeling of the building cold and heat source system.

The application discloses a parallel fault-tolerant type converter bus short-circuit current limiting method and system, and relates to the technical field of wind power generation. The application establishes a differential equation of wind power generation voltage under normal state, obtains periodic components and non-periodic components of the differential equation when a short-circuit fault occurs in a converter of wind power generation, calculates the relationship between the periodic components and normal current before the fault through the reactive power characteristics when the converter is short-circuited, obtains a result expression of the periodic components, introduces virtual resistance and virtual inductance, orients the reference voltage of the converter, and calculates the virtual resistance and virtual inductance values meeting the requirement of reactive current injection based on the reference voltage, d-axis and q-axis components of the converter current. The application can effectively limit the short-circuit current of the converter bus, and can take corresponding protection measures when a short-circuit fault occurs in the converter of wind power generation, thereby protecting the converter and other devices in wind power generation.

The application discloses a kind of based on stress balance's surrounding rock plastic damage zone analytical prediction method, belong to tunnel engineering technical field, including the following steps: obtaining initial plastic zone boundary;Based on plastic zone area correction model and lower than plastic stress part elastic stress distribution is invariable, obtain the elastic load summation of surrounding rock stress before adjustment lower than yield stress part and the elastic load summation of elastic zone after stress adjustment is equal when radius tends to infinity, and the elastic load summation of surrounding rock stress before adjustment higher than yield stress part and the summation of load of plastic zone after stress adjustment is equal;Based on stress balance principle, obtain the radius of surrounding rock plastic zone;Based on the radius of surrounding rock plastic zone and polar coordinate plotting, obtain the range and form distribution characteristics of tunnel surrounding rock plastic zone;The application solves the problem of insufficient accuracy of tunnel engineering surrounding rock plastic zone solution in stress prominent area.

The application provides a motor target parameter estimation and long-time phase correlation accumulation detection method and system, which first carries out radio frequency conditioning and sampling on a radar original echo, carries out pulse compression after obtaining a discrete complex baseband signal, and outputs a range focusing but still containing range migration frequency domain signal. The core step utilizes a second order Keystone transformation to correct the second order range migration of the target, outputs a second order correction signal eliminating the range-azimuth coupling, and then searches the optimal speed through a Bayesian optimization and CPU parallel acceleration algorithm. On this basis, the IAR algorithm is utilized in combination with the optimal speed estimation value to correct the first order range migration, and phase compensation is carried out according to the speed matching phase factor to obtain a phase matching signal. Finally, the matching signal is subjected to a non-uniform fast Fourier transformation in a slow time domain to realize energy focusing, and the complete motion parameters of the target are solved through analyzing the peak position and amplitude characteristics in the Doppler domain.

This invention relates to the field of intelligent data processing technology, and discloses a method, system, computer equipment, and storage medium for quantitative assessment of postoperative rehabilitation of the elbow joint based on three-dimensional motion capture. The method includes: acquiring the spatiotemporal coordinates of shoulder, elbow, and wrist landmarks on the affected upper limb during continuous cyclic flexion and extension movements; constructing upper arm and forearm vectors based on the landmark coordinates to generate elbow joint angle time series and elbow joint angular velocity time series; reconstructing the angle time series into phase space to generate an angle phase space trajectory, and calculating the angle fluctuation complexity index based on its geometric morphological characteristics; performing symbolic dynamic analysis on the angular velocity time series to generate a symbolic entropy value for angular velocity; and inputting the two indices into a rehabilitation quantitative assessment model for multi-dimensional fusion calculation to generate a comprehensive rehabilitation quantitative score. This application achieves a quantitative assessment of the stability and smoothness of elbow joint movement, providing objective data support for clinical rehabilitation.

The application discloses an active phased-array radar target detection correction method and particularly relates to the field of detection correction, and comprises the following steps: S1, a control center triggers radar scanning, calculates and extracts detection data, and transmits the detection data to a data preprocessing unit; S2, a preprocessing unit extracts echo parameter, acquires an echo signal validity coefficient, judges signal validity, and processes; S3, the control center triggers a three-axis gyroscope attitude measurement unit to collect attitude data, and transmits the attitude data to a coordinate conversion unit to call a conversion matrix; and S4, the coordinate conversion unit corrects an angle, calculates relative three-dimensional coordinates, and transmits the relative three-dimensional coordinates to a multi-source data fusion unit. The application constructs a detection correction system in which a phased-array radar, a gyroscope, a GPS and multiple data processing units are cooperated, improves the cooperation and intelligent level of the whole detection correction system, and is suitable for various target detection scenes with complex carrier attitude changes, and is more practical and adaptive.

This invention discloses a method for calculating the wave propagation velocity of high-speed railway contact wire based on an analytical model. Specifically, the method involves: first, determining the differential equation of the vertical motion of the contact wire, and then solving the differential equation using the residue theorem; analyzing the exponential terms of the solution to determine the wavelength of the wave on the contact wire, and obtaining the wave propagation velocity based on the harmonic frequencies and their corresponding wavelengths; then, establishing an analytical model of an infinitely long viscoelastic layer, solving the analytical model, and obtaining the vertical displacement of the contact wire; adjusting the contact wire damping value to match the attenuation coefficient of the analytical model to obtain the contact wire damping value, and using this damping to solve for the wave propagation velocity; finally, adjusting the harmonic frequencies, calculating the contact wire damping values ​​at different frequencies, determining the dominant vibration frequency of the pantograph-catenary coupling, and solving for the wave propagation velocity at that frequency. This invention offers higher computational efficiency and improves the accuracy of the contact wire wave propagation velocity calculation.

This invention relates to a method, apparatus, and device for anti-angle misjudgment angle measurement based on vortex electromagnetic waves, and relates to the field of radar signal processing technology. The method includes: using a circular array as a transmitter, generating and transmitting multiple modes of vortex electromagnetic waves to illuminate the target, obtaining echo signals; selecting a dual-mode combination, processing the echo signals corresponding to the combination to obtain angle measurement values ​​corresponding to each combination; calculating the error between any two sets of angle measurement values, comparing each error with a preset threshold to determine if angle misjudgment exists; if all errors are within the preset threshold, it is determined that there is no angle misjudgment, and the preset angle measurement value is output as the target angle measurement result; if an error exceeds the preset threshold, it is determined that there is angle misjudgment, and the unaffected measurement values ​​are filtered by the consistency and difference of each set of angle measurement values, and the target angle measurement result is output. This invention can achieve robust, continuous, and accurate measurement of target angles in complex interference environments.

The invention discloses a method and system for obtaining interface adhesion parameters between an ice layer and an icing substrate, the method comprises the following steps: collecting the apparent adhesion force of the ice layer and the icing substrate interface, establishing an adhesion simulation model between the ice layer and the icing substrate, carrying out statics analysis on the adhesion simulation model, and calculating the interface adhesion parameters through adhesion simulation calculation to obtain the interface adhesion parameters between the ice layer and the icing substrate. Interface stress distribution between the ice layer and the icing substrate is obtained; calculating and obtaining stress intensity factor distribution of each point of the interface according to the relationship between the stress intensity factors and the stress; performing polynomial fitting by using the stress intensity factor of each point of the interface to obtain a current critical stress intensity factor; calculating the interface fracture energy of the ice layer and the icing substrate according to the relationship between the critical stress intensity factor and the fracture energy; the method comprises the following steps: establishing a debonding simulation model between an ice layer and an icing substrate, carrying out simulation calculation of interface debonding by using the debonding simulation model, and carrying out inversion according to interface fracture energy and collected apparent adhesion to obtain interface peak strength.