146results about How to "Simple calculation" patented technology

The invention provides a method for quickly establishing a three-dimensional near-seafloor speed model in a shallow sea area; the method comprises the following steps of extracting initial informationand extracting a common-center-point gather; calculating the slope of the initial travel time in the common-center-point gather; judging whether a shot point is located in the seawater layer or not,and if yes, correcting the shot point to the seafloor; calculating the speed and the depth of inflection points corresponding to respective offset distances; performing linear interpolation on the speed at each depth to obtain a one-dimensional speed model of the common center point; after all the common-center point domain gathers are processed, adopting the linear interpolation method, calculating the speed values of the rest grid points by utilizing the one-dimensional speed model of all common center points, and a speed model is output. By adoption of the method for quickly establishing the three-dimensional near-seafloor speed model in the shallow sea area, the influence of the seawater layer on ray propagation is overcome, and the influence of multiple excitation receiving modes on an inversion result is eliminated, and the problem that the conventional method needs to carry out multi-ray tracing forward modeling is avoided.

The application relates to a real-valued super-resolution direction estimation method of a high-order acoustic field sensor array, which uses a received signal covariance matrix to approximately calculate an estimated value of noise power, avoids the iterative operation process of noise power in the prior art, improves the calculation efficiency, and reduces the floating-point operation amount. By constructing an augmented matrix, the array receiving data matrix and the array manifold matrix with a multi-dimensional structure of an element are made into Hermitian matrices, so that the unitary transformation processing of the related parameters of the high-order acoustic field sensor array is realized. On the basis of obtaining the array receiving data matrix and the array manifold matrix in the real number domain, the array receiving data matrix and the array manifold matrix are applied to a sparse approximate minimum variance method with a variable exponential factor, and the completely real-valued sparse approximate minimum variance direction estimation with a variable exponential factor is realized.

This invention belongs to the field of data prediction technology, and provides a method and system for predicting solidification cracks in alloy welding. The method includes: acquiring the thermophysical parameters, scanning speed, and horizontal and vertical distances from the solidification point to the welding point of the alloy to be tested; calculating the theoretical angle between the scanning speed direction and the normal to the fusion line based on the horizontal and vertical distances from the solidification point to the welding point; establishing a continuous growth limiting factor calculation model based on the thermophysical parameters, scanning speed, and theoretical angle, and determining the derivative expression model between the solid-liquid interface temperature and the square root of the solid fraction; establishing a crack sensitivity index calculation model based on the continuous growth limiting factor calculation model and the derivative expression model; converting the crack sensitivity index calculation model into a data curve, and obtaining the welding solidification crack prediction result based on the data change characteristics of the target segment in the data curve. This scheme has a simple calculation process, strong engineering applicability, and improves the accuracy of solidification crack prediction.

The application discloses a kind of action primitive-based anthropomorphic motion planning method, device and medium, comprising: the task to be executed is divided into subtask, and the execution order of the subtask is planned according to task demand;Capture the motion data of human arm when each subtask is executed, and the action primitive under each task is extracted and fitted quantization, to construct the action primitive library of each subtask;The action primitive library of each subtask is used as carrier to transfer the motion skill of human arm to anthropomorphic arm, to realize the anthropomorphic motion planning of redundant mechanical arm.The application can greatly reduce the data volume while improving the adaptability of robot to task.

The application discloses a DST test pipe column safety checking method and relates to the technical field of oil and gas field exploration and development. The method comprises the following steps: a pipe column stress distribution model is established according to pressure impact, axial and radial vibration effects in the perforating process; a perforating explosion pressure field is calculated through impact load data of the pipe column at the perforating explosion moment, and spiral buckling evaluation is carried out; a packer stress model in the perforating process is established according to the type of the packer, the safety of the packer under the perforating working condition is analyzed, and packer safety evaluation under the perforating working condition is formed; the pipe column is subjected to the perforating pressure wave and three-direction stress effects, plastic conditions and strength conditions of the fourth strength theory are obtained, and the fourth strength theory is used for pipe column strength calculation and checking; and the pipe column safety in the perforating process is comprehensively evaluated based on the spiral buckling evaluation, the packer safety evaluation and the fourth strength theory calculation result. The method is simple in calculation, convenient in operation and simple and easy to implement in evaluation.

The application discloses a kind of nematode body bending behavior identification and counting method and related equipment, the method comprises: obtaining nematode video, the original gray image is obtained by frame processing to nematode video, and binary image is obtained according to the original gray image of nematode;According to the original gray image of nematode, the numerical coordinate regression algorithm based on convolutional neural network obtains head coordinate and tail coordinate;According to the binary image of the nematode, the feature point extraction algorithm based on curvature calculates the peak point on the center line of nematode;The maximum distance of the line between the pharynx and tail of nematode is calculated, and the number of nematode body bending is calculated according to the change of maximum distance of each frame.The numerical coordinate regression algorithm based on convolutional neural network is used for the coordinate identification of nematode head and tail, the accuracy is improved, and the number of nematode body bending is calculated more simply and quickly by extracting feature points.

The invention discloses a virtual multi-view fusion millimeter wave point cloud imaging method, which belongs to the field of millimeter wave radars, and realizes three-dimensional point cloud imaging of a target by constructing a virtual observation view angle and fusing perception data of different view angles: establishing a multi-view synthetic aperture radar imaging model; a single-bit compressed sensing framework is introduced to construct a sparse imaging optimization problem, an accurate relay angle is solved by minimizing a model error, and a relay plane model error is corrected; and high-precision 3D point cloud imaging of the region of interest is realized based on the accurate angle. According to the method, a three-dimensional point cloud of a target is constructed by fusing virtual visual angle detection shielding characteristics formed by reflection of a plurality of relay surfaces, joint estimation of relay surface angle prior and 3D point cloud is realized by a nested iteration method, and artifacts and offset caused by prior errors are eliminated; the sparsity and the target continuity of the three-dimensional point cloud can be improved through the additional composite norm constraint, and the accuracy of virtual multi-view 3D point cloud imaging is effectively improved.

The application discloses a kind of swing laser welding equivalent heat source modeling methods, comprising: the energy distribution nephogram of actual laser welding heat source under different swing trajectory, swing frequency and swing amplitude is constructed;Along the direction of heat source center position, extract energy distribution curve, obtain the spatial position information of multiple target interest points;Equivalent Gaussian heat source model is respectively constructed for each target interest point;Gaussian heat source model and actual laser welding heat source are verified, and the Gaussian heat source model that passes verification is used as the equivalent heat source model of actual laser welding heat source.The application also provides a kind of swing laser welding simulation method, and the equivalent heat source model is constructed using the aforementioned modeling method, and welding simulation is carried out based on equivalent heat source model.The application can greatly shorten the heat source checking period when swing laser welding simulation, improve the simulation efficiency of entire swing laser welding.

The application discloses a GIS equipment state research and judgment method and device based on IMF energy entropy, and the method comprises the following steps: acquiring GIS switch state data and corresponding state label values, and constructing a training set; constructing a time-frequency memory recurrent neural network based on IMF energy entropy; designing a cross-entropy loss function by considering a classification result and a real state label value; training the neural network, stopping the training when the training round reaches a maximum training round or the value of the cross-entropy loss function reaches a minimum, so that a trained neural network is obtained; inputting real-time collected GIS switch state data into the trained neural network to obtain a GIS equipment state research and judgment result; and the application has the advantages that the accuracy of GIS equipment state research and judgment is improved.

The invention provides a chess and card front and back face recognition method, device and equipment and a computer readable storage medium, and belongs to the technical field of card arranging machines. The method includes: acquiring front and back images of chess and cards, and converting the images into gray images; carrying out binarization on the grayscale image to obtain a binarized image; extracting image pixel features in the binarized image, traversing all pixel features of the image, and counting the number of background pixel features; calculating an image feature area based on the background pixel feature number, and determining front and back sides of the chess and card based on the image feature area. The problem that in the prior art, chess and card front and back face recognition accuracy is low is solved. According to the method, the RGB image of the chess and card is converted into the gray level image, so that the image processing efficiency is improved; the image is divided into the chess and card front pattern area and the background area, interference of background factors is eliminated, the reliability of features of chess and card patterns is enhanced, the image feature area is calculated based on the background pixel feature number, and the chess and card front and back face determination based on the image feature area is simple in calculation and high in accuracy.

The application discloses a terminal equipment-based signed receipt information identification method and device, medium and equipment. The method comprises the following steps: obtaining a signed receipt image, identifying the current angle of the signed receipt image through an SVM network, and rotating the signed receipt to a standard angle according to the current angle; performing verification element detection on the signed receipt image by using a YOLO network, determining the bounding box position and category of the verification element, and identifying whether the bounding box position and category of each verification element in the signed receipt image match; if the bounding box position and category match, each verification element is cropped according to the bounding box position; the verification element is input into a text recognition model for text recognition; and if the text recognition result matches the signed receipt information recorded in advance, it is determined that the information identification of the signed receipt is completed. According to the technical scheme, main verification matching processing can be performed on the mobile equipment side, and in the case that the verification is unqualified, the mobile equipment needs to inform the business party of the unqualified verification element and the reason for the unqualification.

The invention discloses an oil and gas storage facility floating roof pose on-line monitoring and real-time protection device and method.The device comprises a floating disc, an emergency stop valve and a feeding and discharging pump, the floating disc is arranged in a storage tank, the emergency stop valve is arranged on a feeding and discharging port of the storage tank, and the feeding and discharging pump is connected with the feeding and discharging port of the storage tank; a plurality of strong magnetic floaters are arranged on the upper surface of the floating disc in the circumferential direction of the floating disc, a plurality of liquid level display and remote transmission units are arranged on the outer wall of the storage tank in the circumferential direction of the storage tank, each liquid level display and remote transmission unit is connected with a cloud data storage server, and the cloud data storage server is connected with an analysis terminal. The analysis terminal is connected with the emergency stop valve and the feeding and discharging pump; and the inclination angle of the floating disc is calculated through the analysis terminal, so that the floating disc is monitored and protected on line. The floating disc monitoring device solves the problems that a storage tank body of an existing floating disc monitoring device is large in fixed load and high in cost.

The invention discloses a chromatic aberration correction method based on computer visual feedback and a storage medium. The method comprises the following steps: traversing each standard color value; controlling each projector to project a pure color image generated according to the current standard color value, and simultaneously shooting the images projected by each projector through a camera; respectively calculating the imaging color difference between the reference projector and each projector to be adjusted according to the shot image; if the imaging color difference is smaller than the preset color difference threshold value, the latest output color value of the projector to be adjusted is used as a corrected color value corresponding to the current standard color value; otherwise, updating the output color value of the projector to be adjusted, and repeating the steps of projecting the image and calculating the imaging color difference; after traversal is completed, obtaining a color lookup table of each projector to be adjusted; and when the to-be-displayed color value needs to be displayed, controlling the reference projector to display the to-be-displayed color value, and controlling each to-be-adjusted projector to display a corresponding corrected color value of the to-be-displayed color value in the to-be-adjusted projector. According to the invention, chromatic aberration between projectors can be offset.

The application relates to the technical field of battery management systems, and provides a battery pack copper bar equivalent resistance updating method, which comprises the following steps: collecting the voltage of adjacent battery cells of a battery pack when the current is 0 for a certain time, and simultaneously calculating the voltage difference; collecting the voltage of adjacent battery cells of the battery pack under a certain current for a certain time, and simultaneously calculating the voltage difference; calculating the copper bar equivalent internal resistance according to the voltage difference and the sampling current; judging whether the difference between the obtained equivalent internal resistance and the copper bar equivalent internal resistance to be updated is less than a preset threshold value; if yes, updating the copper bar equivalent internal resistance; and if not, not operating. In the whole life cycle of the battery system, the algorithm periodically calculates and updates the copper bar equivalent resistance according to the working conditions, so that the influence of copper bar resistance value changes caused by aging and other factors is eliminated, the effectiveness and accuracy of the copper bar resistance value calculation are ensured, and the accuracy of the cross-copper-bar battery cell voltage sampling is ensured.

The invention belongs to the technical field of inter-satellite laser link establishment pointing, and provides an inter-satellite laser link establishment pointing method and system suitable for a low-orbit mobile communication constellation in order to solve the problem that an existing azimuth angle and pitch angle pointing technology based on an east-north-sky coordinate system has defects. According to an inter-satellite laser communication ephemeris mutual transmission mechanism, a mathematical model of inter-satellite laser link establishment angle pointing requirements is established, and azimuth angle and pitch angle calculation formulas of laser link establishment of two adjacent satellites in a constellation orbital plane, satellites in the orbital plane and satellites in two adjacent orbital planes are deduced. On one hand, by introducing an orbital coordinate system, an inter-satellite azimuth angle and a pitch angle are defined; on the other hand, a mathematical model of an inter-satellite laser link establishment pointing angle is obtained based on a positioning orbit determination ephemeris data source of an on-satellite GPS. And the inter-satellite laser link establishment pointing technology can be realized through a two-dimensional rotating mechanism of the laser. The method can be widely applied to an inter-satellite laser link establishment pointing scene of a low-orbit mobile communication constellation.

This invention discloses a material handling method, system, equipment, and medium based on a robotic arm. The method includes: acquiring an image of the product to be handled by an image acquisition device; determining the product center point based on the image; determining the product offset based on the product center point, the product template center point, and the pixel equivalent; and sending the product offset to the robotic arm so that the robotic arm can handle the product according to the product offset and a predetermined handling position. The product template center point and pixel equivalent are determined after the robotic arm performs tool coordinate calibration. Tool coordinate calibration includes aligning the robotic arm's suction cup rotation center, the image acquisition field of view center, and the product template center. This solves the problems of complex offset calculation and cumbersome calibration processes, eliminating the need for center rotation to calculate the offset. The calibration process is simple and easy to operate, improving the efficiency of the robotic arm's material handling.

The application discloses a kind of estimation method and system of vegetation canopy combustible moisture content based on meteorology and remote sensing data, comprising the following steps: first, combustible moisture content and various meteorological data and remote sensing data and other several kinds of subsidiary data are selected as combustible moisture content estimation data.Meteorological data includes air temperature, relative humidity, rainfall and wind speed.Remote sensing data includes two vegetation indexes: enhanced vegetation index and normalized vegetation index.Subsidiary data includes: root zone soil moisture, vapor pressure difference, drought index, fire weather factor.Then the long time sequence characteristics of meteorological data are extracted.The size of time window is determined first, and the experimental results show that the correlation coefficient of most sites is relatively high under the time window of 90-210 days.90 days, 150 days and 210 days of time window are selected respectively to extract the time characteristics of four kinds of meteorological data.Secondly, the samples of experimental area are divided into five vegetation classifications, which are closed shrub, sparse shrub, multi-tree tropical grassland, tropical savanna and grassland.Finally, the data sets of the five different vegetation types are sequentially adjusted to obtain the respective estimation model.

The invention relates to the technical field of hydrofracture micro-seismic event monitoring, in particular to a distributed optical fiber micro-seismic event positioning method and device, and the corresponding method comprises the steps: determining a vertical foot corresponding to a micro-seismic event according to the form of an event of the micro-seismic event in a seismic section corresponding to the micro-seismic event in a fractured well; determining the monitoring well and the perpendicular foot radius of the perpendicular foot in a cylindrical coordinate system; wherein the original point of the cylindrical coordinate system is the vertex of the event; and according to the radius of the perpendicular foot and the length of the fractured well, performing energy scanning on each grid under the cylindrical coordinate system in a plane which passes through the perpendicular foot and is perpendicular to the fractured well so as to position the microseism event. According to the method, the plane where the seismic source occurs is determined, and then seismic source scanning is performed only in the plane, so that the method has the advantages of high calculation precision and high calculation efficiency. And rapid real-time positioning of the distributed optical fiber fracturing microseism event can be ensured.

The invention relates to a method for removing noise points of a constellation diagram, and belongs to the field of wireless signal processing. The method comprises the following steps: creating a counting constellation diagram according to received signal I and Q component pairs; calculating an average value of pixel values of non-zero pixels in the counting constellation diagram, and determining a subsequent binarization threshold value; and according to a threshold value, carrying out binaryzation on non-0 pixels in the counting constellation diagram to obtain a constellation diagram which can be used for subsequent processing. The method for removing the noise points of the constellation diagram is simple in calculation and has important application value in the fields of wireless signal monitoring and management and the like.

The application discloses a kind of aircraft off-line trajectory planning methods based on spherical Anya, comprising the following steps: step 1: the mathematical modeling of aircraft flyable area and threat area is carried out, and the Web Mercator coordinate of flyable area and the Web Mercator coordinate of threat area are obtained;Step 2: the mathematical modeling of any two points great circle route, and the mathematical modeling of great circle route and the intersection coordinates of certain meridian or parallel;Step 3: spherical Anya algorithm heuristic value f is designed using great circle route and the intersection coordinates of great circle route and certain meridian or parallel;Step 4: initialize map, input the Web Mercator coordinate of starting point and terminal point, and the Web Mercator coordinate of flyable area and the Web Mercator coordinate of threat area between starting point and terminal point, obtain the optimal path of spherical Anya using spherical Anya algorithm heuristic value f.

This invention discloses a method and system for extracting features from disordered 3D discrete point clouds using a slice-based approach. The method includes: obtaining the effective range and density of disordered 3D discrete points, and setting slice intervals in the X, Y, and Z directions according to the density; slicing the disordered 3D discrete points in the X, Y, and Z directions from smallest to largest according to the set slice intervals, obtaining two-dimensional slices in each direction; calculating the concave hull of each slice in the X, Y, and Z directions based on the two-dimensional slice data in each direction, and marking the points contained within the outer boundary of the concave hull; counting the repeatedly marked points to form a set of repeatedly marked points; and performing voxel filtering on the set of repeatedly marked points to obtain the extracted feature points. Inspired by medical CT slices, this invention can handle 3D entities of arbitrary shape and size, and can solve the problems of complexity and time-consuming processing in existing disordered 3D discrete point cloud feature extraction algorithms.

The invention discloses a risk assessment and optimization method based on an abnormal operation state of a low-voltage power distribution network, and relates to the field of risk assessment and optimization of the low-voltage power distribution network. The low-voltage power distribution network risk assessment model comprises a mathematical model unit, a deterministic three-phase power flow improved calculation unit, a source-load probability distribution unit and a Monte Carlo probability power flow calculation unit, and low-voltage power distribution network abnormal operation state assessment parameters are defined based on the low-voltage power distribution network risk assessment model. And configuring a risk weight coefficient for the evaluation parameters of the abnormal operation state of the low-voltage power distribution network to obtain a comprehensive risk, and performing evaluation optimization on the risk of the low-voltage power distribution network through a genetic algorithm based on the comprehensive risk Psys. By the adoption of the method, the risk that abnormal operation states such as overvoltage and three-phase unbalance degree out-of-limit happen to the low-voltage power distribution system in the high-permeability distributed new energy region is effectively reduced, and power flow distribution probability statistical data of all phases and the neutral line are obtained through quick and accurate calculation.

This invention belongs to the field of structural optimization design, and specifically discloses a topology optimization method and system for accurately and efficiently controlling structural deformation characteristics. The method includes: performing finite element mesh generation on the structure to be optimized, which exhibits spring deformation characteristics, and defining design variables corresponding to the mesh; determining the total strain energy constraint of the structure based on the spring constant and maximum deformation, and establishing a first topology optimization model with the goal of minimizing the total structural volume; performing topology optimization based on the first topology optimization model to obtain the structural configuration and its total volume; setting an upper limit for the total structural volume constraint based on this total volume to construct the total structural volume constraint, while simultaneously using the total strain energy constraint of the first topology optimization model, and establishing a second topology optimization model with the goal of minimizing the p-norm of the local deformation error under external force; and performing topology optimization based on the second topology optimization model to obtain the final structural configuration. This invention is highly versatile, functionally diverse, and precise and efficient.

The invention relates to the technical field of microseism event positioning, in particular to a microseism event positioning method and device suitable for a horizontal well in any direction. The corresponding method comprises the steps that an energy scanning cuboid corresponding to the direction of a current well track is determined according to the ground stress of a target work area, the length of a fracturing section, the well spacing, the stratum thickness, mechanical parameters of rock, fracturing fluid injection parameters and the direction of the current well track; wherein the direction of the edge where the width of the energy scanning cuboid is located is parallel to the drilling direction of the current well track; the center of the energy scanning cuboid is penetrated by the current well track; and performing focus scanning on the micro-seismic event in the energy scanning cuboid so as to position the micro-seismic event. According to the method provided by the invention, the positioning result energy scanning cuboid of the microseism event can be more reasonably determined, the calculation process is simple and efficient, and the positioning process of the microseism event is greatly optimized.

This invention provides a lossless frame compression method that is easy to implement in HEVC hardware, comprising: S1. Data alignment of the image, expanding the width to a multiple of 64 and the height to a multiple of 16; S2. Block partitioning; S3. Compression of 4*64 size luma PLCU and chroma PLCU, each PLCU being an independent compression unit, with compression performed in units of sbk; obtaining the data_val of all pixels in the luma and chroma PLCU; setting different data_len values ​​according to the characteristics of the data_val of pixels in sbk; S4. Generating the Body, compressing pixels according to the information obtained above; S5. Generating the Head. This method breaks away from the original encoding framework, is more adaptable, and achieves a better compression ratio and faster compression speed through appropriate block partitioning, better luma and chroma component processing, and fewer syntax elements.

The application belongs to the technical field of avionics information equipment image processing, and particularly relates to a simulation display system based on reverse bilinear interpolation, which comprises an analog-digital signal conversion unit, an XY coordinate mapping unit, a digital coordinate splitting unit, a reverse bilinear interpolation calculation unit and a digital afterglow calculation unit. The analog-digital signal conversion unit processes received analog signals, and the processed signals are further processed by the XY coordinate mapping unit and the digital coordinate splitting unit, and then input into the reverse bilinear interpolation calculation unit. The reverse bilinear interpolation calculation unit receives data information output by the digital coordinate splitting unit, and performs calculation inside the reverse bilinear interpolation calculation unit. The reverse bilinear interpolation calculation unit inputs the calculation result into the digital afterglow calculation unit, and the result is reflected in the digital afterglow calculation unit. The digital afterglow calculation unit calculates the gray scale values of four neighborhood points in a 2x2 neighborhood, so as to realize smooth display of a picture.

The invention provides a mechanical arm self-adaptive grading grabbing control method and system based on visual feedback, and belongs to the technical field of robot control. The method comprises the steps that target position information is obtained through a visual sensor, and contact state information of the tail end of a mechanical arm and a target is obtained through a force sensor; according to the target position information and the contact state information, the current control stage of the mechanical arm is judged, and the control stage comprises the vision dominant stage that the mechanical arm approaches the target but does not make contact with the target, the force dominant stage that the mechanical arm grabs the target and the transition stage from the vision dominant stage to the force dominant stage; generating a first control component and a second control component based on the target position information, and generating a third control component based on the contact state information; according to the current control stage of the mechanical arm, the weights of the first control component, the second control component and the third control component are dynamically distributed and fused to generate a comprehensive control instruction; and the mechanical arm is driven to grab the target according to the comprehensive control instruction, and jumping of the control instruction is avoided.

This invention relates to the field of muon detection, providing a downhole muon imaging detector and detection method, comprising: a stainless steel shell, a signal processing circuit board, an inner vertical structural module, and an outer horizontal structural module; the stainless steel shell, the inner vertical structural module, and the outer horizontal structural module are all cylindrical, the signal processing circuit board is disposed inside the inner vertical structural module, the stainless steel shell fits and encloses the outer horizontal structural module, and the outer horizontal structural module fits and encloses the inner vertical structural module. The detector of this invention can be placed in a confined space at the bottom of a borehole and can image a large area of ​​geological structure around the borehole. The detection method of this invention can effectively acquire incident and emitted signals through event discrimination, thereby constructing an accurate two-dimensional density image, simplifying the overall computational workload of detection, and improving the detection efficiency of muons.

This application discloses a method for collaborative evaluation of the physical modal segmentation of seedling stems and leaves and their physiological quality, belonging to the field of agricultural robot perception and precision detection. The method includes the following steps: outputting a horizontal sinusoidal excitation signal and acquiring at least two images of the seedling under two morphological conditions within the leaf resonant frequency range; performing image difference on any two images to obtain a grayscale difference map; extracting a dynamic mask of the leaves from the grayscale difference map; segmenting the leaves and stems in one of the two images based on the dynamic mask; determining the measured amplitude of the leaves based on the dynamic mask; determining the physiological stiffness of the leaves based on the measured amplitude; determining the stiffness difference between the physiological stiffness and a stiffness threshold, and determining the ratio of the stiffness difference to the stiffness threshold; and determining the seedling quality based on the ratio. This application improves the accuracy and robustness of stem and leaf recognition and segmentation, and meets the requirements for early non-destructive recognition under low computational power and water stress.

This invention relates to the field of power system operation and control technology, and particularly to an equivalent aggregation method and system for the output power of distributed generation clusters. The purpose of this invention is to construct an equivalent aggregation method and system for cluster output power. First, output models of the power of generators, photovoltaics, wind turbines, and energy storage devices in the cluster are constructed. Then, a cluster network power flow technical constraint model is constructed, and node voltage and branch power flow constraints are established based on linear branch power flow equations. Next, an inscribed ellipsoid model of the equivalent domain for cluster output power aggregation is constructed. The parameter values ​​of the inscribed ellipsoid model are solved by constructing and solving a specific optimization problem. Compared with existing methods, the proposed equivalent aggregation method for cluster output power significantly accelerates the calculation speed and greatly improves the accuracy of the solution results, enabling rapid equivalent aggregation of cluster output power and possessing significant value in practical applications.