15 results about "Statistical index" patented technology

A data processing method, a data processing device, an electronic device and a computer readable storage medium. The data processing method comprises: obtaining at least one sample data in a statistical group, each sample data comprising a statistical index and an index value of the statistical index; creating a first statistical array corresponding to the statistical index, the first statistical array comprising a plurality of first elements, the plurality of first elements being respectively used to statistically process different index values; and traversing the index values of the at least one sample data, and statistically processing the at least one sample data by using the first statistical array to obtain a data statistical result, the plurality of first elements in the first statistical array being respectively the statistical sub-results of each index value. The method uses an array to statistically process a plurality of index values by one data processing, thereby realizing high parallel computing, improving statistical efficiency, and having high reusability.

The application provides a multi-constraint-based spatial element dynamic aggregation method and system, and belongs to the technical field of spatial data processing. The method comprises the following steps: acquiring shared bicycle parking point spatial element data set and multi-dimensional constraint conditions; performing spatial profiling on a target research area based on spatial division constraints, generating a plurality of initial aggregation service range units, and mapping elements in the spatial element data set into the initial aggregation service range units, and calculating statistical indexes of the initial aggregation service range units; constructing a graph structure with the initial aggregation service range units as nodes, and the spatial adjacency relationship and semantic similarity between the units as edges; constructing a graph structure aggregation model, including a target function with the minimum variance of the statistical indexes between the initial aggregation service range units as the target, and a constraint condition based on the integrity of the spatial division constraints; and solving the graph structure aggregation model by using a heuristic search algorithm or a graph partitioning algorithm to generate a dynamic aggregation service range result satisfying the statistical balance constraint.

This invention discloses an AI-powered collaborative drawing review system with full-process traceability for engineering supervision services. It relates to the field of engineering supervision information management technology and includes: a project information archiving module that establishes unique identification codes, associates basic data, and categorizes and archives it; an intelligent drawing upload and parsing module that supports multi-format uploads, extracts core elements, and stores them in a structured manner; an AI-powered collaborative drawing review module that automatically identifies drawing problems and generates rectification suggestions through a trained model; a manual review and annotation module that provides annotation tools and creates review records; a drawing review process traceability module that records all process data and assigns unique traceability codes; an opinion collaborative circulation module that enables closed-loop online problem circulation; a supervision results management module that generates standardized reports and statistical indicators; and a system security and maintenance module that assigns permissions to ensure data security and system stability. This invention improves efficiency and accuracy through AI-powered collaborative drawing review, ensures service quality from multiple dimensions, and provides efficient and reliable support for engineering supervision.

This invention discloses a method for extracting power quality fluctuation periods based on probability statistics. By considering the probability distribution and statistical characteristics of power quality index data, the optimal period division scheme for power quality data is determined. Based on the differences between stable and fluctuating periods, a fluctuation threshold is established and fluctuating periods are extracted. A power quality index fluctuation event database is constructed to assist in the identification of abnormal power quality fluctuations. The proposed fluctuation period division method can be used in the field of responsibility division, which can assist in the division of responsibility for interference sources, and more quickly and accurately trace the source of interference to the user, which is conducive to the proactive prevention and early treatment of power quality disturbances.

The application discloses a chart matching display method, an electronic device and a computer readable storage medium. The method comprises the following steps: acquiring a pre-constructed data index library and a chart interface library; distinguishing data indexes according to statistical indexes and statistical methods, wherein the data indexes comprise result protocols related to the statistical methods, and distinguishing chart interfaces according to display forms, wherein the chart interfaces comprise display protocols related to the display forms; acquiring target data indexes matched with statistical requirements from the data index library, and determining result protocols of the target data indexes; the statistical requirements are related to the statistical indexes and the statistical methods; acquiring target chart interfaces matched with the target data indexes from the chart interface library based on nodes in each level in the result protocols and corresponding first fields of the nodes, and nodes in each level in the display protocols and corresponding second fields of the nodes; and the target chart interfaces are used for displaying statistical results corresponding to the target data indexes. The above scheme can improve the convenience and flexibility of chart matching.

This application discloses a method and system for inverting and analyzing borehole fracture stress fields based on the right dihedral method, relating to the fields of geophysics and geological engineering technology. The method includes: batch loading fault data through a GUI interface and converting it to NED direction cosines; using the right dihedral method to divide the fault into compression and tension zones; using a coarse-fine two-stage grid search to determine the optimal principal stress direction and matching rate; searching for the minimum principal stress direction in the vertical plane and calculating the dual stress axis matching rate; finally, outputting the three principal stress directions based on the comprehensive matching probability and generating a stereographic projection map. This application improves data input efficiency through batch loading via a GUI interface; the two-stage grid search algorithm eliminates human error and improves the calculation accuracy of the optimal principal stress direction and matching rate; multiple statistical indicators provide quantitative evaluation, improving the reliability of the inversion results; and the GUI interface's visualization of the inversion results enhances engineering applicability and interactive efficiency.

The application discloses a microplate detection data processing method and system, and the system comprises a data input and subtable generation module, a main table generation module, a main table object assignment module, a statistical module and a data analysis report generation and output module. The application also discloses a microplate detection data processing method based on the system. The system and method can enable users to easily and efficiently batch extract data, customize statistical methods and statistical indexes under data traceability conditions, and realize flexible and personalized processing of well plate data.

The application discloses a PCB pad offset prediction method based on feature engineering and a storage medium, and comprises the following steps: S1, historical offset detection data of a PCB is acquired, data preprocessing is performed, and the data is cut by using a sliding window method; S2, statistical indexes designed manually are calculated; and S3, a reweighted support vector machine is constructed, and a prediction result is output. According to the statistical characteristics of the reaction offset time series characteristics designed manually, the PCB pad offset can be predicted, and the production of defective products can be avoided through the timely intervention of engineers. Meanwhile, the prediction result can be explained through the statistical characteristics, so that the model prediction process is easier to be understood by engineers. The weighted support vector machine is used for nonlinear transformation of a kernel function of the manually designed features, the stability of the model is improved, the offset defect is given a greater weight, the difficulty that offset defect data is extremely rare is overcome, and the time series prediction of the offset defect is realized.

The application provides a kind of fusion connection function SBAS-InSAR large-scale deformation monitoring method, system, equipment and medium, the method is based on the obtained research area multi-phase synthetic aperture radar influence and digital elevation model data is processed by traditional small baseline integrated synthetic aperture radar interferometry method, obtains the initial estimated value of surface deformation parameter at coherent point and corresponding residual phase, according to the statistical index of each interference pair residual phase matches and fits corresponding edge distribution model, combined with the selected connection function constructs the joint distribution framework representing the correlation characteristics of interference pair, and further constructs the joint log-likelihood function, to maximize the joint log-likelihood function as the goal to optimize and solve the surface deformation parameter to obtain the optimized surface deformation parameter and output the surface deformation monitoring product based on the optimized surface deformation parameter, solve the problem that existing SBAS-InSAR model is difficult to accurately depict the statistical characteristics of residual, affect the precision and robustness of deformation inversion.

The application provides a kind of adaptive identification method and system of hidden failure of generating unit protection neutral line, it is related to electric power system relay protection technical field, method includes: based on sliding window mechanism, dynamic data segmentation collection is carried out to generating unit protection neutral line data;The collected data is standardized;Principal component analysis algorithm is used to reduce dimension decomposition to standardized data set, extract key principal component component, build initial principal component analysis model;Calculate monitoring statistical index and control limit;Real-time data is continuously acquired, and recursive updating algorithm is used to dynamically correct principal component analysis model, while recursively calculating control limit threshold value, based on the updated analysis model, the statistics of real-time data are calculated, and the statistical limit of weighted recursive update is dynamically compared.The fusion of dynamic data acquisition, online model updating and statistical process control technology realizes the high sensitivity, low false alarm rate and adaptive detection of hidden failure of generating unit protection secondary circuit neutral line.

This application provides a method, apparatus, system, and application product for automatically assigning tasks. The method includes: acquiring values ​​of multiple indicators characterizing the attributes of a project to be assigned, obtaining multiple indicator values, wherein the multiple indicators include: an importance classification indicator, a project similarity evaluation indicator, and a work statistics indicator; providing the multiple indicator values ​​to an interactive interface; responding to weight coefficients determined for each of the multiple indicator values, obtaining a project evaluation result based on the multiple indicator values ​​and the multiple weight coefficients, and assigning tasks corresponding to the project to be assigned to target processing objects based on the project evaluation result, wherein the project evaluation result is a calculation result obtained by multiplying each indicator value by its corresponding weight coefficient and then summing the results. This application embodiment can automatically assign tasks based on time conditions, avoiding reliance on manual task assignment and unreasonable task assignment.

In some examples, a system receives data values related to a computing environment, and produces, in a memory, an in-memory representation of the data values comprising a hierarchical arrangement of bins, where a bin of the bins includes a statistical metric based on an aggregate of a subrange of the data values, and the bins at different hierarchical levels of the hierarchical arrangement of bins represent different resolutions at which the data values are aggregated. The system receives, a query requesting a computation, the query comprising a query filter. The system identifies a hierarchical level of the different hierarchical levels of the hierarchical arrangement of bins based on the query filter, and performs the computation using bins at the identified hierarchical level.

This invention discloses a method and system for statistical analysis and visualization of experimental data in IC substrate material research and development, aiming to address issues such as insufficient adaptability to existing technologies, limited statistical dimensions, weak visualization, and lack of intelligent optimization and iteration mechanisms. The method includes: collecting and preprocessing data throughout the entire research and development process; assigning traceability codes to construct a hierarchical database; establishing a multi-dimensional statistical indicator system; employing multi-factor interactive analysis to mine parameter correlations and filter key parameters; constructing a standardized visualization model and configuring interactive functions; establishing an anomaly warning mechanism and generating optimization suggestions; and storing data with tags and iteratively optimizing the model. The system includes five collaborative modules. This invention achieves standardized management and control, in-depth analysis, intuitive presentation, and closed-loop optimization of research and development data, improving data reliability and decision-making accuracy, reducing the interpretation threshold and research and development costs, shortening the cycle, achieving full-scenario coverage, and continuous upgrading of research and development capabilities. It is applicable to various IC substrate material research and development scenarios.