6results about How to "Fast calculation time" patented technology

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.

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 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.

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.