13results about How to "Uniform precision" patented technology

The invention discloses a full-closed-loop radar signal level simulation system and method based on intelligent optimization. The system comprises a simulation scenario configuration module, a radar signal generation module, a target and environment model module, a radar signal processing module, a data processing and tracking module, a performance evaluation module and a closed-loop control engine. The method comprises the steps that firstly, a simulation scenario configuration module initializes a simulation scenario; then a radar signal generation module generates a radar emission signal, and a target and environment model module performs modeling to generate a synthetic echo; then the radar signal processing module receives the echo signal and extracts a target trace point, and the data processing and tracking module processes the target trace point to form a target track; and finally, the performance evaluation module executes radar signal level simulation and outputs performance indexes, and a closed-loop control engine judges whether acceptance conditions are met or not and outputs optimal parameters and performance reports. According to the invention, intelligent full-closed-loop automatic simulation is realized, and the precision and flexibility of radar simulation are improved.

The invention relates to a multilayer PCB (Printed Circuit Board) wiring search algorithm based on a millimeter wave image, and aims to solve the problems that the resolution is limited and the calculation cost is too high in a grid A * algorithm on which multilayer PCB wiring depends, and the A * algorithm under a meshless method is not suitable for multilayer wiring. The invention provides an analysis obstacle avoidance exploration algorithm model based on a millimeter wave image. According to the model, on the basis of heuristic path optimization based on a grid A * algorithm, barriers and wiring areas are marked through pixel coordinates of millimeter wave images, a plurality of groups of barrier vertex pixel coordinate sets are generated, and local barriers are dynamically monitored and geometrically filtered; in combination with multi-pin network wiring optimization, generation of acute-angle corner wiring is avoided, signal transmission efficiency is enhanced, and the number of via holes is reduced. A cross-layer projection method is introduced into multi-layer PCB wiring, and a starting point, a barrier vertex and a barrier end point are marked, so that the total wiring length is reduced and the number of via holes is reduced to reduce the cost of the multi-layer PCB during PCB cross-layer wiring by an analysis and obstacle avoidance exploration algorithm of a millimeter wave image, and the interlayer connection complexity and the delay and electromagnetic interference of additional signals are reduced; therefore, the method is suitable for the multi-layer PCB drawing design of a high-frequency electronic circuit.

The application discloses a kind of based on multi-dimensional data fusion's campus intelligent consumption analysis system and method, it is related to electric digital data processing technical field.The system includes terminal feature fusion, abnormality identification analysis processing, classification verification and synchronous three big modules.Terminal feature fusion module fuses terminal feature data and time feature data in original multidimensional data, generates behavior correlation feature, reduces data dispersion;Abnormality identification analysis processing module carries out abnormality identification and processing to behavior correlation feature, forms feature data set and verifies validity, improves detection accuracy;Classification verification and synchronous module uploads the classification result after verification as core data set to specified service platform, and synchronizes to its database, improves platform processing efficiency.Through multi-module cooperation, the efficient fusion of campus consumption data, accurate anomaly detection and data synchronization are realized, and the comprehensiveness of campus consumption analysis and service platform processing efficiency are improved.

The invention relates to a health state recognition method based on image statistical characteristics. Comprising the following steps of: firstly, acquiring an original vibration signal of a bearing by using a sensor, converting the original vibration signal into a time-frequency domain color image by adopting short-time Fourier transform, and then converting the time-frequency domain color image into a grayscale image by using grayscale transform; secondly, extracting six types of image statistical characteristics from the grayscale image, wherein the six types of image statistical characteristics comprise a mean value, a variance, a contrast ratio, correlation, energy and homogeneity; then, six types of image statistical features are used as input, and a fusion feature vector is output through a designed stability-enhanced sparse PCA (Principal Component Analysis) module; and finally, performing health state recognition on the fused feature vector by using a state change detection function. The method is good in recognition effect and high in industrial scene adaptability, and provides high-precision and high-reliability technical support for predictive maintenance of equipment; the method is high in calculation efficiency, good in real-time performance and high in robustness, unification of precision, efficiency and robustness is achieved, and the method is very suitable for online real-time monitoring application in engineering practice.

The invention discloses a GPU (Graphics Processing Unit) equipment registration method and device, equipment and a medium, which are used for reducing code redundancy during GPU equipment registration. The method comprises the following steps: pre-deploying a default state which is suitable for whether general attribute nodes of most GPU equipment are exposed or not and each preset default function; according to the method, the default state of whether the universal attribute node is exposed or not or the preset default function is correspondingly replaced with the inconsistent actual state and actual use function of each attribute of the GPU equipment, so that the repeated writing of basic codes is avoided, the universal logic codes only need to be written once, and when the model of the GPU equipment is newly added, the writing efficiency is greatly improved. According to the method, only the model look-up table and the corresponding actual configuration need to be expanded, the whole drive registration process does not need to be rewritten, the problems of code redundancy and poor compatibility caused by writing an independent drive registration code for each GPU device in the prior art are solved, and the reusability and maintainability of the code are improved.

This invention discloses a method for constructing a seamless land-water DEM based on multi-source satellite data fusion. The study area is divided into bare land, drawdown zone, and perennial waterlogged area based on the annual average water frequency of Sentinel-2 imagery. Using the ICESat-2 ATL08 ground point cloud during the dry season and contemporaneous Sentinel-2 imagery, the underwater topography of the drawdown zone is constructed using an XGBoost model. Using the ATL13 water surface elevation and depth during the wet season and contemporaneous Sentinel-2 imagery, the underwater topography of the perennial waterlogged area is constructed. Based on the water frequency, the results from the drawdown zone and the perennial waterlogged area are fused to generate a complete and continuous underwater topography. The elevation of the bare land ALOS DEM is then corrected using the ATL08 point cloud and fused with the topography of the drawdown zone and the perennial waterlogged area, achieving a seamless connection between land and water topography and constructing a high-precision integrated land-water DEM, thus improving the accuracy of the water area and shoreline topography.

The invention relates to the technical field of array power amplifier attenuation calibration, and provides an array power amplifier attenuation calibration system and method.The system comprises a signal source, a multi-channel attenuation array, a multiplexer, a frequency spectrograph and an upper computer which are connected in sequence; the signal source, the array power amplifier, the multi-channel attenuation array, the multiplexer and the frequency spectrograph are connected in sequence; the signal source, the array power amplifier and the frequency spectrograph are all connected with the upper computer; the signal source is used for generating an excitation signal of the array power amplifier; the multi-channel attenuation array is used for attenuating an output signal of the array power amplifier; the multi-path synthesizer is used for synthesizing the multi-path signals attenuated by the multi-channel attenuation array into one path of synthesized signal; the frequency spectrograph is used for measuring a synthesized signal of the multi-path synthesizer; and the upper computer is used for managing the signal source, the array power amplifier and the spectrum analyzer, predicting a calibration table of each channel of the array power amplifier based on a measurement value of the spectrum analyzer, and burning the calibration table into the array power amplifier. According to the invention, the calibration efficiency can be greatly improved on the premise of ensuring the single-channel calibration precision.

The utility model provides a high-precision injection molding press-fit mold, which relates to the field of molds, and comprises a mold frame, a movable mold, a fixed mold, a pressing plate, a pressing plate and a pressing plate, the spiral cold water channel is formed in the mold core, an inlet of the spiral cold water channel communicates with the fixed mold through a first flow channel, and an outlet of the spiral cold water channel communicates with the fixed mold through a second flow channel; and introducing a pipe fitting. The spiral cold water channel design is adopted, the contact area of cooling liquid and the mold core is increased, the cooling liquid flows along a spiral path, heat is fully taken away, the situation that a traditional water channel is unreasonable in layout is changed, the cooling efficiency is improved, and the forming period is shortened. Meanwhile, the longitudinal distances between the adjacent spiral cold water channels are equal, and the sections are trapezoidal, so that the mold core can be uniformly cooled, non-uniform shrinkage of a plastic part is avoided, the size precision is ensured, the rejection rate is reduced, and the market requirements of high-precision plastic products are met.

This invention discloses an adaptive image cropping and matching method, apparatus, and medium for visual pointing recognition, belonging to the field of image processing and human-computer interaction technology. This invention aims to solve the problems of low accuracy and fixed recognition window failure caused by changes in pointing distance and object size in existing visual pointing recognition technologies. The method includes: acquiring a target image containing a laser pointer spot and identifying the pixel position and range of the spot; adaptively generating multiple candidate cropping boxes of different sizes based on the spot range, wherein at least one is smaller than the spot range and at least one is larger than the spot range to cover the uncertainty caused by changes in scale and distance of the target object; extracting image sub-regions of each candidate box; performing feature extraction in parallel and calculating similarity with a device feature library; and finally, outputting the final recognition result by decision fusion of the matching results of each region. This invention combines multi-scale analysis with strong prior information about pointing intent, significantly improving the robustness and accuracy of pointing recognition, and is computationally efficient, making it suitable for embedded platforms such as smart remote controls and AR devices.

This invention discloses a computing resource planning method and system based on a large model. The computing resource planning method includes: constructing a structured performance database based on benchmark test documents; generating a set of configuration data points corresponding to each configuration node based on the performance database; generating optimal data points based on the configuration data point sets; obtaining the business target concurrency; traversing the optimal data points corresponding to the configuration nodes; generating at least one candidate deployment scheme that meets the business target concurrency; calculating the cost information of the candidate deployment schemes; and generating the target deployment scheme based on the cost information. Specifically, the optimal data point has a first token latency less than a preset latency time threshold, a single-user throughput greater than or equal to a preset throughput threshold, and the concurrency number is the maximum value in the configuration data point set. This invention achieves accurate prediction of concurrency carrying capacity under strict latency constraints through structured modeling and interpolation calculation, exhibits strong cross-scenario generalization ability, and reduces computing resource planning errors.

The present disclosure provides a kind of energy storage system and its capacity equalization method, device, it is related to energy storage technical field.Energy storage system includes at least one battery cluster, battery cluster includes power module and multiple battery modules, the method includes: obtaining the residual capacity SOC of each battery module in target battery cluster;Wherein, target battery cluster is one in at least one battery cluster;If the SOC of multiple battery modules in target battery cluster does not satisfy preset equalization condition, then according to the SOC of multiple battery modules, determine the battery module to be equalized from multiple battery modules;Control power module switches to the battery module to be equalized and carries out power supply, to make the SOC of multiple battery modules in target battery cluster satisfy preset equalization condition.The present disclosure can realize the SOC equalization of multiple battery modules in target battery cluster, reduce energy loss, save energy, guarantee power module reliability, improve the communication stability of overall energy storage system.

This invention discloses a cloud-based method for the integrated supervision of cross-border e-commerce, comprising the following steps: S1, real-time collection of cross-border e-commerce transaction data, logistics and distribution data, warehousing data, and customs supervision data, and standardization processing using a distributed cleaning method; S2, construction of a multi-source heterogeneous graph based on the standardized data; S3, annotation of node and edge types, relationship types, and timestamps in the graph, and extraction of high-dimensional features using a relation-enhanced graph Transformer; S4, local and global aggregation using a multi-layer attention mechanism to generate an aggregated view; S5, construction of a multi-objective supervision task model and generation of a resource scheduling scheme; S6, identification of transaction, logistics, and supervision anomalies, and generation of risk warning and intervention strategies; S7, dynamic optimization of the relationship structure and Transformer parameters based on execution feedback. This invention, based on high-dimensional graph representation and optimized scheduling mechanism, achieves integrated supervision and risk warning of cross-domain multi-source data in cross-border e-commerce.

The application provides a soil organic carbon estimation method, device and electronic equipment, wherein the soil organic carbon estimation method comprises: obtaining site information of a target site; the site information comprises soil properties, environmental data, vegetation data, location information and land use data of the target site; an initial physical model is called, and an estimated value of a key parameter of the initial physical model is obtained by inversion based on the site information of the target site in an observation year; a key parameter estimator is constructed, and the key parameter estimator is trained and fine-tuned; the trained key parameter estimator is embedded into the initial physical model to obtain a soil organic carbon simulation model driven by physical and data hybrid. Through the application, the unity of model precision and interpretability is realized, and the problem of poor soil organic carbon estimation effect in the prior art is solved.