6results about How to "Reduce data redundancy" patented technology

This invention discloses a broadband oscillation disturbance source localization method based on compressed sensing and graph convolutional neural networks (GCNs), comprising two stages: offline training and online localization. In the offline training stage, electrical quantities under subsynchronous / supersynchronous broadband oscillation modes are obtained using measurement data from actual systems or simulation examples, constructing a broadband oscillation offline sample library. Compressed sensing is used to encode and compress the electrical quantities in the offline sample library, obtaining a training set and a test set. The constructed GCN localization model is trained using the training set until the test set reaches the target localization accuracy, resulting in a broadband oscillation localization model. In the online localization stage, a substation collects electrical quantity data and compresses and encodes it using compressed sensing technology; the substation data is uploaded to the master station; at the master station, the feature matrix and system adjacency matrix are input into the trained GCN localization model, and the oscillation source location is output. This invention's method is applicable to broadband oscillation disturbance source localization under various operating conditions.

This invention relates to the field of cable inspection and maintenance technology, and discloses a robot for the operation and maintenance of power transmission lines in mountainous areas. The robot includes a main body, a sliding buffer assembly, a camera inspection assembly, a positioning assembly, and a drive assembly. The sliding buffer assembly decouples the camera mechanism from the robot body through a sliding groove and a slider, allowing the robot to move forward continuously at a constant speed while the camera mechanism remains stationary, eliminating motion blur and channel misalignment. Driven by the drive assembly, the positioning assembly first stretches the cable section to be tested axially and then pushes it axially, forcibly opening circumferential and axial micro-cracks to facilitate the visualization of early damage. Four sets of multispectral high-definition cameras in a ring array employ an intermittent static shooting strategy, requiring only one key image to be acquired for each detection section during the stretching and pushing states. This invention achieves high-precision, low-miss-rate detection of micro-cracks in cables in mountainous areas, simplifies the system structure, and improves the robot's portability and operational stability.

The application discloses a heterogeneous parallel material removal calculation method and system. The method comprises the following steps: constructing a heterogeneous parallel calculation environment comprising at least a first processing unit and a second processing unit, wherein at least one processing unit supports data parallel execution for a large number of discrete elements; constructing a discrete representation of a workpiece, and generating state data for representing a material state based on the discrete representation of the workpiece; generating space constraint information based on tool geometric parameters, relative motion information of the tool and the workpiece, and the state data; decomposing material removal simulation calculation into a preprocessing task and a relationship evaluation task; mapping at least two calculation tasks to the first processing unit and the second processing unit for execution, so that the first processing unit and the second processing unit concurrently or flow water overlap execute in at least part of a time period; updating the material state based on the space relationship quantity and calculating the material removal quantity, and iterating until the trajectory is completed. Therefore, the calculation efficiency is significantly improved, and the real-time simulation requirement is met.

The application provides a data processing method and device for a virtual scene, equipment, a computer readable storage medium and a computer program product, relates to game technology in the cloud field, and the method comprises the following steps: connecting multiple clients to multiple single games; allocating static resource masks corresponding to static resources to the multiple clients respectively, wherein the static resource masks allocated to the multiple clients are the same; allocating dynamic resource masks corresponding to dynamic resources to the multiple clients respectively; sharing static resources among the multiple single games based on the static resource masks corresponding to the static resources allocated to the multiple clients respectively; and isolating dynamic resources among different single games based on the dynamic resource masks corresponding to the dynamic resources allocated to the multiple clients respectively. The application can effectively reduce data redundancy of a server by realizing isolation of dynamic resources and sharing of static resources among different single games.

The application provides a kind of edge side industrial data lightweight pretreatment cache method, belong to industrial data technical field, the application is through Gray code anti-interference coding to improve data acquisition quality, adaptive sampling rate adjustment and weak abnormal feature weight vector realizes dynamic sampling, wavelet decomposition and high frequency fault feature sparse matrix accurately locates fault position, semantic perception compression encoder cooperates with dispersion evaluation matrix and carries out differential coding, and network transmission graph model optimizes transmission path, this overall systematic technical scheme from signal acquisition, adaptive processing, intelligent compression, dynamic cache management to network optimization each link, solves the technical problems that the cache occupancy rate is too high and the data transmission delay is large caused by the difficulty of efficient pretreatment of multi-source signals of industrial equipment at edge side.

This application relates to the field of computer data processing technology, providing a method and system for soil classification prediction based on multi-source environmental and remote sensing data. The method includes: constructing a soil feature dataset containing spectral features, physicochemical features, and environmental features; calculating the contribution of each feature to soil classification and the correlation between them, generating an initial weight configuration; updating the weight coefficients based on the contribution of spectral features and / or the correlation between physicochemical features and environmental features, generating an adaptive weight configuration; weighted fusion of feature subsets whose contribution exceeds a contribution threshold based on this configuration to generate a soil classification feature vector; constructing a soil classification decision tree based on this vector and determining the optimal classification path; predicting the classification result of the soil sample to be classified based on the optimal classification path; if the confidence level of the classification result does not meet the confidence threshold condition, updating the weight coefficients, and returning to the step of generating the adaptive weight configuration, until the confidence threshold condition is met, obtaining the final classification result.