17results about How to "Fast calculation time" patented technology

The invention discloses a PCCP broken wire signal detection method based on improved YOLOv8, and belongs to the technical field of hydraulic engineering detection. The method comprises the following steps: S1, carrying out a PCCP broken wire prototype test by adopting a distributed optical fiber sensor, collecting sound wave signals generated in the test process, and sorting and screening the collected data to obtain a PCCP broken wire one-dimensional sound wave signal data set; s2, processing and converting the one-dimensional sound wave signal into a two-dimensional spectrogram by adopting synchronous extrusion wavelet transform, labeling, and constructing a data set; s3, training the improved YOLOv8 model by using the data set in the S2, and carrying out broken wire signal identification detection by using the improved YOLOv8 model; performance evaluation is carried out, and the model meeting the evaluation requirement serves as a final target detection model and is used for detecting the wire breakage signal under the PCCP body running state. According to the invention, the problem of insufficient detection and identification of the broken wire signal in the operation process of the PCCP body can be solved, and accurate detection is realized.

The invention relates to the technical field of mechanical arm motion planning and digital twinning, in particular to a mechanical arm multi-target trajectory planning method and system based on digital twinning, and aims to solve the problems that during large-scale rapid disordered feeding, a mechanical arm continuously grabs and transports materials with high strength, and the working efficiency is high. In order to solve the problems of large start-stop impact, easy shaking, reduced production operation efficiency, shortened service life and the like in the prior art, a multi-objective function of efficiency, impact and energy consumption is solved through LNSGA-II, and a seven-order B spline curve is utilized to optimize a joint track of the mechanical arm, so that angular displacement, angular velocity and angular acceleration motion curves of multiple joints of the mechanical arm are smoother and more continuous, a servo motor can be protected, and the mechanical arm is more stable in operation. And a digital twin platform is built through an MATLAB-AppeliaSim entity mechanical arm, the trajectory planning model is applied to an actual operation task of the mechanical arm, the working condition of the mechanical arm is monitored, and a factory task scene is coped with.

The invention discloses a thermal performance simulation method and device for a printed circuit board heat exchanger and a medium. The method comprises the steps that a dynamic physical property calling method is established to form a dynamic link library; a three-dimensional distribution parameter model is established according to the structural size of the printed circuit board heat exchanger, and a three-dimensional array C [I] [J] [K] is used for representing all control units of the heat exchanger; establishing a flow direction description matrix of the cold side working medium and the hot side working medium in the printed circuit board heat exchanger control unit; based on the dynamic link library and the flow direction description matrix, respectively establishing control equations of cold and hot side working media of each control unit C (i, j, k); and establishing a simulation iterative algorithm of the printed circuit board heat exchanger to carry out iterative solution on the control equations of the cold and hot side working media of all the control units C (i, j, k), and when a convergence condition is met, ending thermal performance simulation and outputting a simulation result.

The invention relates to the technical field of privacy protection, in particular to a non-interactive multiplication privacy protection method based on summer secret sharing, which comprises the following steps: optimizing a secret polynomial coefficient and selecting a calculation modulus parameter, so that the polynomial times after secret sharing multiplication calculation are not changed; in order to solve the problem that a traditional secret sharing scheme is insufficient in security, a traditional (k, n) threshold secret sharing scheme is improved, a public key is generated by using a combined order group in an initial stage, and for the traditional scheme, the security is only increased but not reduced; the invention provides a secret sharing tree structure for completing a joint computing task among multiple users in allusion to the situation that data among multiple users are not shared and have a demand on joint computing at present. The scheme provided by the invention not only can be used for joint calculation among multiple users, but also can accelerate calculation time and complete more complex calculation tasks in any privacy protection application using secret sharing.

The invention discloses an iterative computation matrix inversion method and system based on Cholesky decomposition, and relates to the technical field of DSP system optimization, and the method comprises the steps: obtaining a target source matrix; based on Cholesky decomposition, performing first iteration processing on the target source matrix to generate an upper triangular matrix; performing second iteration processing on the upper triangular matrix to generate an inverse matrix of the upper triangular matrix; performing conjugate transpose processing on the inverse matrix of the upper triangular matrix to generate a lower triangular matrix; wherein the lower triangular matrix is stored in the form of array storage; converting the storage mode of the inverse matrix of the upper triangular matrix into a sequential storage mode; and performing matrix multiplication processing on the inverse matrix of the upper triangular matrix and the lower triangular matrix to generate an inverse matrix of the target source matrix. According to the method, accumulative summation is replaced by iteration, complex multiplication and addition optimization calculation is adopted, multi-parallelism operation and parallelization processing zero padding operation are supported, a general matrix multiplication module can be adapted, and calculation time and area overhead are reduced.

The application discloses a cotton bale detection method based on multi-modal data timestamp synchronization and GPU / CPU collaborative acceleration, collects multi-modal data, marks timestamps, and performs GPU accelerated distortion correction on cotton bale images; the multi-modal data is synchronized and integrated according to timestamps; a main program adopts Nodelet combined with C++ multi-threading technology to process the reception of multi-modal data and the publication of multi-modal sensor coordinate systems in parallel, the main program running optimizes the transmission efficiency of multi-modal data; a cotton bale detection model is constructed, the optimized multi-modal data are input for training, the cotton bale detection model after training is optimized using TensorRT, and cotton bale images are input for inference, cotton bale target recognition data are obtained and transmitted to a CPU for post-processing operation, and OpenMP is used to accelerate point cloud traversal in the main program to match the cotton bale target recognition data with laser radar point cloud data; the matched multi-modal data are subjected to point cloud feature and plane fitting calculation, and the rectangular frame, pose information and score of the cotton bale target are obtained.

The application discloses a creep life prediction method for a nickel-based single crystal alloy considering a primary orientation deviation angle, and comprises the following steps: S1, acquiring a primary orientation deviation angle of a sample; S2, performing a creep test on the sample to obtain creep test data; S3, establishing a creep constitutive damage equation, constructing a correlation formula of a primary orientation deviation angle influence factor and the primary orientation deviation angle, and introducing the primary orientation deviation angle influence factor into a material degradation term in the creep constitutive damage equation for correction; S4, calibrating undetermined parameters in the corrected creep constitutive damage equation by using the creep test data; and S5, establishing a finite element model of a nickel-based single crystal high-temperature alloy sample based on the calibrated creep constitutive damage equation, and calculating the creep life of the sample by using the finite element method. The application changes the influence of the primary orientation deviation on the creep life from "systematic theory coupling" to "engineering precise quantification", and is more suitable for actual engineering application requirements.

The invention discloses a flexible direct-current transmission line protection method and system based on modulus high-frequency components. The method comprises the following steps: acquiring a fault characteristic frequency range in a transmission line area in advance by using a full-element analysis method; thirdly, collecting positive voltage and negative voltage of a multi-terminal flexible direct current power transmission line protection installation position at multiple different moments, and realizing protection starting detection by using positive and negative break variables; the positive electrode grounding fault, the negative electrode grounding fault and the bipolar fault are detected by using the accumulated zero-mode voltage; and finally, according to a fault line mode voltage characteristic frequency range in a preset area and a multi-dimensional variational mode decomposition algorithm, carrying out time-frequency characteristic component extraction on the line mode voltage of the line, and constructing an adaptive peak voltage quantitative index to realize quantitative detection on the fault area of the power transmission line. According to the invention, a full-element analysis method, a multi-dimensional variational mode decomposition algorithm and a self-adaptive voltage peak value are utilized, so that the single-ended protection method can tolerate 1500 ohm transition resistance, and the sensitivity of the protection method is effectively improved.

The present invention discloses a method, device and medium for determining a wind farm line, which are applied to the field of wind farm line design. According to the number of wind turbines and the material parameters of the wind turbine connections, they are distributed to each region, and the MST algorithm is used to search for the original first line and calculate the first path length for the wind turbine connections in each region. The MST algorithm has a short calculation time and outputs a specific solution, that is, the original first line, and has good convergence. Considering that the MST algorithm seeks the shortest line in a region, it is not necessarily the preferred line. Therefore, on the basis of the original first line, the lines of other wind turbines in the region that are not selected by the MST algorithm are selected to obtain a new first line to calculate the second path length, and the preferred route of each region is determined according to the first path length and the second path length. Combined with the MST algorithm for partition optimization, the calculation time is shortened, the convergence is improved, and the problem of optimal line search for multi-loop wind farms is solved to save construction costs.

This invention discloses a machine vision method for measuring the intersection points of two circles based on dynamic fitting and local optimization, comprising the following steps: S10, image acquisition; S20, preprocessing and edge detection; S30, initial circle parameter acquisition; S40, initial intersection point estimation and candidate region acquisition; S50, energy function construction and optimization; S60, outputting accurate circle intersection point coordinates. This invention utilizes the geometric constraints of the intersection points of two circles and local image features to construct an objective function with the intersection point coordinates as the direct optimization variable. Through iterative search or solution, this function is minimized, thereby directly obtaining the optimal intersection point estimate. The entire scheme integrates circle parameter estimation and intersection point localization into a unified optimization process, with mutual constraints and corrections.

The invention relates to the technical field of aero-engine blade surface strengthening, and discloses a thin-wall blade surface strengthening and finishing integrated manufacturing method and a thin-wall blade surface strengthening and finishing integrated manufacturing system. And acquiring information such as an impact force signal, an impact speed signal, a stroke, an impact width, real-time position information of an impact point, surface roughness after impact, residual stress, impact deformation and the like. And a mapping model between real-time position information of the impact force signal, the impact speed signal, the stroke, the impact width and the impact point and the surface roughness, the residual stress and the impact deformation is constructed, and the surface roughness, the residual stress, the deformation result and the like of the blade are monitored in real time. And finally, the strengthening and finishing impact parameter range value of the blade to be machined is obtained through analysis, high controllable impact in the strengthening and finishing process of the blade is ensured, integrated control over strengthening and finishing of the surface of the thin-wall blade is achieved, and the bottleneck problems that in the traditional blade machining process, controllability is insufficient, and machining quality consistency is poor are solved.

The invention relates to a multi-factor analysis-based postoperation bleeding risk early warning and evaluation method and system for pancreaticoduodenectomy, and belongs to the technical field of data analysis. The method comprises the steps of obtaining the age and gender of a patient, presetting an age threshold value, dividing the age according to the age threshold value to obtain age group data, obtaining physiological data, and calculating a pancreatic fistula estimated value through a pancreatic fistula prediction model according to the physiological data and the age group data; obtaining abdominal cavity physiological data, and calculating to obtain an abdominal cavity infection estimated value through the abdominal cavity infection prediction model according to the abdominal cavity physiological data; and obtaining early warning physiological data, and according to the early warning physiological data, the pancreatic fistula estimation value, the abdominal cavity infection estimation value and the gender, performing calculation through the bleeding risk early warning evaluation model to obtain bleeding estimation grade data. The hemorrhage risk early warning evaluation after the pancreaticoduodenectomy based on multi-factor analysis is realized.

A method for controlling a vapour compression system (1) is disclosed, the vapour compression system (1) comprising an ambient temperature sensor (8) arranged to measure an ambient temperature. A time period during which the ambient temperature sensor (8) is unexposed to solar heating is selected. During the selected time period, measurements of the ambient temperature are obtained by means of the ambient temperature sensor (8), and measurements of at least one further parameter related to the vapour compression system (1) are obtained, while operating the vapour compression system (1). Model parameters for a model of at least a part of the vapour compression system (1) are derived, based on the obtained measurements, the model providing correlation between the ambient temperature and the at least one further parameter. Subsequently, the vapour compression system (1) is operated based on measurements of the at least one further parameter and based on ambient temperatures derived by means of the model including the derived model parameters.

The present application relates to the technical field of electron microscope image splicing, in particular to a kind of electron microscope biological section panorama image real-time generation method, it includes: S1: the size of original picture is enlarged;S2: determine the ROI region in original picture;S3: original picture ROI region and to-be-spliced picture are reduced in scale, the splicing homographic matrix H1 of reduced original picture ROI region and reduced to-be-spliced picture is calculated, then again multiplied by magnification factor, obtain the homographic matrix H2 of picture under original size, according to homographic matrix H2 original picture and to-be-spliced picture are spliced;S4: the picture after splicing is handled to cut black edge;S5: with the picture after cutting black edge processing as new original picture, input again new acquisition picture to splice, S1-S5 are cyclically executed until picture acquisition is completed.The present application improves the process and method of image splicing, greatly improves the splicing speed of image, realizes the real-time splicing of image, is suitable for further popularization and application.

The present invention discloses a DRR image generation system and generation method based on dynamic step length, the system comprises an image preprocessing module, a dynamic step length calculation module and a ray projection calculation module, wherein the image preprocessing module is used to establish a preprocessing three-dimensional voxel model based on the three-dimensional voxel data of CT images and the relationship between the CT values ​​between voxels; the dynamic step length calculation module is used to calculate the segmented sampling step length of the ray according to the tissue to which the voxel of the preprocessing three-dimensional voxel model through which the projection line passes belongs or the relative relationship with the tissue to which the surrounding voxels belong; the ray projection calculation module is used to calculate the projection value of the ray on all pixels of the flat receiving point. The present invention ensures the calculation accuracy of DRR image generation and speeds up the calculation time.

The invention belongs to the technical field of power systems, and particularly discloses a power system risk assessment method and device. According to the method, the load shedding amount of the load in the power system and the wind curtailment amount of the wind power plant are rapidly calculated according to the critical domain where the renewable energy such as different output values of the wind power plant is located and the linear mapping relation between the critical domain and the decision variables in the power system operation model. And calculating a risk assessment index based on the obtained load shedding amount and the wind curtailment amount, and performing risk assessment on the power system according to the risk assessment index. Compared with an existing power system risk assessment method, the method has the advantages that constraint conditions do not need to be redefined, an optimization model does not need to be established, and an optimization problem does not need to be solved, so that the calculation time of power system risk assessment is shortened, the risk assessment efficiency is effectively improved, response measures can be taken in time, and safe and stable operation of a power grid under high-proportion wind power access is guaranteed.

This invention discloses a rapid path planning method considering vehicle model and terrain attribute information. The method includes generating layered geographic information data, which contains several data layers, each containing the same type of geographic information; based on the vehicle model, obtaining the vehicle speed reduction data for each data layer in the geographic information layered data; merging the vehicle speed reduction data from each data layer into a single data layer to obtain a vehicle speed map; and generating the vehicle trajectory using a path planning algorithm based on the vehicle speed map and the vehicle model. This invention considers various terrain factors, thereby improving the speed of path planning.