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Index (statistics) In statistics and research design, an index is a composite statistic – a measure of changes in a representative group of individual data points, or in other words, a compound measure that aggregates multiple indicators.
Storage cabinet abnormal trend prediction system based on time series data analysis
The invention relates to the technical field of exception prediction, in particular to a storage cabinet exception trend prediction system based on time series data analysis, which comprises a state monitoring module, an interval sensing module, a path reconstruction module, a symptom activation module and an evolution prediction module. According to the method, the state vectors including the temperature, the voltage, the current and the door lock state are constructed and combined with the timestamp information to form the time sequence data sequence, and the dynamic expression mode of state change is established; a jump characteristic is analyzed by using a ratio of a time interval to a state change amplitude, a short-time disturbance path and a trend evolution path are distinguished by combining a jump rate statistical index, and an evolution activation signal is identified based on trend maintenance and non-fallback characteristics. On the basis, a neural network structure with long-time dependent learning ability is introduced to capture an aperiodic thermal anomaly trend in a state sequence, and the accuracy and timeliness of anomaly recognition are improved through multi-dimensional parameter cooperative processing and path construction logic.
Owner:FUJIAN ANJIDA INTELLIGENT TECH CO LTD +1
IMU and UWB combined positioning method based on extended Kalman filtering
ActiveCN121540139ANavigation by speed/acceleration measurementsPosition fixationAlgorithmComputational physics
The invention relates to the field of intelligent positioning, and provides an IMU (Inertial Measurement Unit) and UWB (Ultra Wideband) combined positioning method based on extended Kalman filtering, which comprises the following steps: acquiring IMU and UWB data, establishing a combined positioning model, carrying out preliminary distance measurement according to the combined positioning model, carrying out consistency check, and carrying out autonomous detection and gross error identification on UWB measurement. According to the method, measured values which are geometrically inconsistent are suppressed by using information, when detection exceeds a threshold, UWB data at the moment are not adopted, only an IMU prediction result is reserved, and when detection passes, standardized information square of each channel is taken as a statistical index and mapped to a basic probability distribution function in a DS evidence theory; according to the method, the UWB measurement value is subjected to UWB measurement, multi-channel measurement evidences are fused through a DS evidence combination rule, a fusion result is converted into measurement noise covariance for adaptive adjustment, filtering updating of the UWB measurement value in an extended Kalman filtering algorithm is achieved, and the positioning precision and stability of IMU and UWB combined positioning in a complex indoor environment are improved.
Owner:EAST CHINA JIAOTONG UNIVERSITY
Machine room equipment fault diagnosis method and system based on big data
The invention relates to the technical field of fault detection, and discloses a big data-based machine room equipment fault diagnosis method and system, and the method comprises the steps: collecting load information data streams generated by all equipment in a machine room in real time, and carrying out the filtering, and obtaining a filtered information sequence; performing grouping processing on the filtered information sequence by using a K-means clustering algorithm to obtain a dynamic change mode group, calculating a key statistical index, and obtaining an abnormal feature set; if the abnormal feature set exceeds a preset variance threshold, classifying the abnormal feature set and determining a fault mode to obtain a fault mode category set; matching the fault mode category set with a preset fault mode database to obtain a fault mode matching result, and generating a corresponding risk assessment report to obtain a risk assessment report; and adjusting the operation parameters of the machine room equipment to obtain the equipment operation parameters. According to the method, equipment faults can be diagnosed in time.
Owner:SHENZHEN PENGRUN XINJU TECH CO LTD
Differential early warning method for water turbine speed regulating system based on data driving
The invention discloses a differential early warning method for a water turbine speed regulating system based on data driving, and aims to solve the problems of poor real-time performance, low accuracy, weak adaptability and lack of differential early warning of a traditional method. The method comprises the following steps: collecting data such as guide vane opening and unit frequency in real time, and preprocessing the data through median filtering and Kalman filtering; identifying working conditions by using a rule engine and fuzzy logic and processing according to the working conditions; extracting time domain and frequency domain characteristic parameters, and constructing statistical indexes; integrating statistics, nonlinearity and twinborn simulation to build a threshold model, and combining a production rule, a fault tree and a Bayesian network to build a rule model; and three types of early warning models are constructed, early warning levels are divided according to an expert scoring method, information is pushed, and a differentiation strategy is formulated. The method improves the early warning real-time performance and accuracy, adapts to complex working conditions, and guarantees the safe operation of the hydropower station.
Owner:CHINA YANGTZE POWER
An automatic verification and evaluation method and system for simulation effect of an air quality model
ActiveCN116930423BDesign optimisation/simulationGas analyser calibrationStatistical analysisEngineering
The application discloses an automatic verification and evaluation method and system for simulation effect of an air quality model, and comprises the following steps: determining meteorological stations and air quality stations in a simulation area range based on the simulation area range, and obtaining corresponding formatted monitoring data; selecting the nearest grid point in a grid file corresponding to the monitoring stations based on the longitude and latitude of each station, batch extracting simulation values in the corresponding grid, and obtaining formatted simulation data; matching and merging the monitoring data and the simulation data, and obtaining a corresponding merged file; calculating the merged file, and obtaining statistical index results of different parameters of each station; and performing statistical analysis, time series analysis and spatial distribution analysis on the statistical index results. The application can realize rapid extraction, analysis and comparison of simulation results, improve the verification efficiency, reduce the need for human interference and subjective judgment, provide reliable quantitative analysis, and improve the objectivity and repeatability of the verification.
Owner:BEIJING UNIV OF TECH
System and method for training region selection for deep learning models
System and method for automatic selection of training region selection for deep learning model is disclosed. An identification module 110 identifies equipment shutdowns and excludes buffer region data. A segmentation module 120 estimates operational regions and divides data into predefined operating regions using K-means clustering. A feature analysis module 130 determines top contributing tags and identifies low and high values within operational regions. A domain comparison module 140 compares contributing tags with domain knowledge, excluding regions associated with mapped failures. A data cleaning module 150 ensures data integrity by recalculating statistical measures and eliminating outliers. A filtering module 160 refines data and consolidates regions to reduce training ranges. This integrated approach enhances equipment monitoring and predictive analytics, enabling proactive maintenance strategies and optimizing operational efficiency.
Owner:UPTIMEAI TECH PTE LTD
Statistical method, system and equipment for multi-modal evaluation samples and storage medium
The invention relates to the technical field of data processing, and particularly provides a statistical method, system and device for a multi-modal evaluation sample and a storage medium, and the method comprises the steps: obtaining evaluation data generated after a multi-modal large model completes reasoning, and the evaluation data comprises a plurality of sample records; using the data source, the prompt word and the sample identifier to form a compound key, using the compound key as a unique identifier of a sample, and aggregating the evaluation value fields with the same compound key into the same statistical group to form a sample-level statistical unit; performing statistical calculation on the plurality of evaluation value fields in each sample-level statistical unit, including calculating a mean value and a standard deviation of the plurality of evaluation value fields, and calculating an optimal boundary index and a worst boundary index of the plurality of evaluation value fields based on replacement sampling to obtain a group of statistical indexes; and distributing and outputting the statistical indexes based on a preset rule. According to the method, sample-level accurate aggregation is realized through the compound key, and statistical deviation caused by the same cue word is avoided.
Owner:QINGDAO INSPUR HAIRUO ARTIFICIAL INTELLIGENCE CO LTD
Multi-source observation data fusion method and device, electronic equipment and storage medium
The invention provides a multi-source observation data fusion method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining original L0 data of satellite observation, carrying out the positioning and calibration preprocessing of the original L0 data, so as to generate L1 data, and carrying out the inversion processing according to the generated L1 data, so as to obtain L2 data; performing space-time matching on the L2 data subjected to quality control through a preset space-time interpolation method so as to correct mismatching of different data sources in time and space; and performing weighted average calculation on the data after time-space matching according to a weight distribution algorithm to obtain fused data, verifying the fused data through verification data, and performing data evaluation on the fused data by calculating a statistical index between the fused data and the verification data. According to the method, the problem of space-time mismatching of the multi-source observation data can be effectively solved, so that the fused data can more accurately reflect the real state of the atmosphere, and the availability and value of the data are improved.
Owner:TIANJIN YUNYAO AEROSPACE TECH CO LTD +3
Extracting the electrical consumption of an individual device within a set of devices connected to an electrical network
PendingFR3166729A1Data processing applicationsSingle network parallel feeding arrangementsAlgorithmElectric network
A method for extracting the power consumption of an individual piece of equipment within a set of equipment (E1, E2, E3, …, En), comprising transforming a stream of measurements of overall power consumption into a time series, and dividing this series (S1) into a set of sequences. Then, for each sequence, the following steps are performed: generation (S4) of a positional encoding matrix (PEM); extraction (S5) of features from the sequence to form a feature matrix (FM); projection (S6) of statistical metrics into a statistics vector (SM); and concatenation (S7) of these different elements (PEM, FM, SM) to form an input matrix (IM) provided to a transformation neural network designed to infer (S8) a time sequence corresponding to the individual piece of equipment. Figure for the abstract: Fig. 1
Owner:ELECTRICITE DE FRANCE +1
Two-stage fan equipment quality abnormity tracing method based on hierarchical information representation
PendingCN121524867ACircuit arrangementsKnowledge representationEngineeringMaximal information coefficient
The invention provides a two-stage fan equipment quality abnormity tracing method based on hierarchical information characterization, and relates to the technical field of fan operation and maintenance quality management and control, and the method comprises the steps: obtaining SCADA monitoring data, operation logs and operation and maintenance records of fan equipment, carrying out data preprocessing through overlapping sampling, and constructing a time sequence database; calculating the maximum information coefficient, related to the fault, of each feature in the time sequence database, and screening key features to form a feature subset; constructing a double-end Transform model, taking the feature subset as the input of the model, introducing a classification mark, and outputting a feature prediction value and fault category probability distribution; the difference between the fault sample and the normal sample is calculated based on the mahalanobis distance, the tracing key features are screened according to the contribution degree of the difference, and multi-dimensional time domain statistical indexes are extracted from the tracing key features to construct a high-dimensional feature matrix; and inputting the high-dimensional feature matrix into a tracing model represented by hierarchical information, judging an abnormal reason through a feature matrix threshold value, and outputting a tracing result.
Owner:ZHIXIN ENERGY TECH CO LTD
A method and system for classifying spatially heterogeneous extreme precipitation events
The application provides a method and system for classifying spatial heterogeneity extreme precipitation events, and the method comprises the following steps: obtaining original precipitation data in a preset time scale and spatial range, calculating a standardized precipitation anomaly index representing the abnormal degree of precipitation based on the original precipitation data; for the standardized precipitation anomaly index spatial field corresponding to each time point, calculating a statistical index for representing the overall spatial heterogeneity degree of the spatial field; based on the time series of the statistical index, screening out spatial heterogeneity extreme events according to a preset high quantile threshold; taking the spatial distribution of the standardized precipitation anomaly index corresponding to the spatial heterogeneity extreme events as an input sample, and performing unsupervised training based on a network model with a preset topological structure to cluster and generate typical spatial distribution modes of the spatial heterogeneity extreme events. Through the application, the extreme events with significant spatial differences can be identified, and the classification results are objective and stable, which provides a scientific basis for refined risk assessment.
Owner:GUANGDONG OCEAN UNIVERSITY
Production line test data analysis method, system, equipment and program product
The invention is suitable for the technical field of production data analysis, and provides a production line test data analysis method, system and device and a program product, and the method comprises the steps: obtaining a plurality of test result value sets corresponding to a plurality of test step identifiers; for each test step identifier, filling a test result value set corresponding to the test step identifier into a template file preset with a calculation formula for calculating a statistical index representing the characteristics of the production process, and triggering a calculation function of the template file to obtain the statistical index corresponding to the test step identifier; and on the basis of the template file which is filled with the test result value set and completes calculation, a single-step analysis file containing the statistical index is generated for each test step identifier, so that the flexibility of the system and the adaptability to service changes are improved, and the accuracy of a statistical analysis result is ensured.
Owner:SHANGHAI SIGE DIGITAL TECHNOLOGY CO LTD
Cloud customer service system report generation method and device based on Apache Dores, equipment, medium and product
PendingCN121960416Ashorten the response cycleDatabase management systemsVisual data miningStatistical ReportEngineering
The invention discloses a cloud customer service system report generation method and device based on Apache Dores, equipment, a medium and a product, and relates to the technical field of big data process.The method comprises the steps that a selectable heterogeneous data source list corresponding to a cloud customer service system is output through a visual interface; after receiving a target data source selection instruction submitted by a user, accessing metadata of a target data source by using a data directory function of Apache Dores; outputting a selectable statistical index field list, a selectable statistical dimension field list and a selectable Dores function list through a visual interface, and processing data of a target data source by calling a target Dores function after receiving a target statistical index field, a target statistical dimension field and a target Dores function corresponding to a statistical report selected by a user. Obtaining statistical data corresponding to the statistical report; and outputting the statistical data through a visual interface. The report development response period can be shortened, and the report query efficiency can be improved.
Owner:BEIJING WISDOM TOOTH TECH CONSULTING CO LTD +1
Data processing method and device, electronic equipment and computer readable storage medium
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.
Owner:BOE TECHNOLOGY GROUP CO LTD
A storage cabinet abnormal trend prediction system based on time series data analysis
The application relates to the technical field of anomaly prediction, in particular to a storage cabinet abnormal trend prediction system based on time series data analysis, which comprises a state monitoring module, an interval sensing module, a path reconstruction module, a symptom activation module and an evolution prediction module.In the application, a state vector containing temperature, voltage, current and door lock state is constructed, time stamp information is combined to form a time series data sequence, a dynamic expression mode of state change is established, the ratio of time interval to state change amplitude is used to analyze the jump characteristic, and a jump rate statistical index is combined to distinguish a short-time disturbance and a trend evolution path, an evolution activation signal is identified based on trend retention and non-falling characteristics, a neural network structure with long-time dependent learning ability is introduced to capture the aperiodic thermal abnormal trend in the state sequence, and the accuracy and timeliness of abnormal identification are improved through multi-dimensional parameter collaborative processing and path construction logic.
Owner:FUJIAN ANJIDA INTELLIGENT TECH CO LTD +1
A centrifugal pump multi-fault identification method based on vibration intensity and statistical indicators
The application provides a centrifugal pump multi-fault identification method based on vibration intensity and statistical indexes, comprising: building a test bench to realize normal, rotor imbalance, rotor misalignment and mechanical looseness operating states, collecting vibration acceleration and vibration displacement signals under each operating state; screening the most sensitive signal measuring points; calculating the statistical indexes of the screened signal measuring points to obtain a feature set; performing standardization and dimension reduction processing on the feature set to obtain a target feature set; dividing a plurality of measured sample groups into a training set and a test set to obtain a training feature matrix and a test feature matrix; performing parameter optimization to obtain globally optimal radial basis kernel parameters g and penalty parameters C, inputting the training feature matrix into an identification model to complete data training, and then inputting the test feature matrix into the identification model to obtain a centrifugal pump multi-fault identification result. The application solves the problem that normal, rotor imbalance, rotor misalignment and mechanical looseness of a vertical centrifugal pump cannot be classified and identified.
Owner:JIANGSU UNIV ZHENJIANG RES INST OF FLUID ENG EQUIP TECH +1
A road surface three-dimensional texture uniformity evaluation method based on grid distribution characteristics
The application relates to a road surface three-dimensional texture uniformity evaluation method based on grid distribution characteristics, which comprises the following steps: obtaining road surface three-dimensional texture data, pre-processing the data to obtain samples, carrying out grid division on the samples, calculating three-dimensional texture feature parameters and statistical indexes of each grid unit of a single sample, evaluating the uniformity of the single sample based on the statistical indexes and normal distribution test, if the single sample is determined to be uniform, carrying out homodistribution test on multiple samples, if the multiple samples all obey the same distribution, determining that the overall distribution of the road surface is uniform, if the distribution of the multiple samples is inconsistent, obtaining coarse and fine aggregate distribution ratios based on two-dimensional wavelet decomposition, judging whether coarse and fine aggregate distribution is uneven among the multiple samples, if the single sample is determined to be uneven, adopting a spatial autocorrelation analysis method to describe and depict local uneven forms. Compared with the prior art, the application can establish a fine uniformity evaluation system of a surface domain, and can evaluate various uneven phenomena.
Owner:TONGJI UNIV
Dynamic data charting method and apparatus
ActiveCN116610732BImprove efficiencyImprove accuracyDigital data information retrievalText processingAnalytic modelStatistical analysis
The application provides a dynamic data chart statistical method and device, and relates to the technical field of big data. The method comprises the following steps: receiving a data query request of a user; querying full data corresponding to the data query request from a server backend according to the data query request; storing the full data in a data visualization chart library corresponding to a pull-down box selector of a front-end interface; the pull-down box selector provides a plurality of statistical index options of user-specified data in the full data for the user; after the user selects a first statistical index option from the pull-down box selector, extracting the user-specified data from the data visualization chart library, inputting the user-specified data and the first statistical index option into a data statistical analysis model, and outputting a first statistical analysis result; visually rendering the first statistical analysis result to generate a first visualization chart; and showing the first visualization chart to the user.
Owner:CHINA CONSTRUCTION BANK
A method and system for dynamic aggregation of spatial features based on multiple constraints
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.
Owner:MUCHENG SURVEYING & MAPPING (BEIJING) CO LTD
AI collaborative review whole process traceable supervision service information management system
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.
Owner:ANHUI HERONG INFORMATION TECH CO LTD
A method for extracting power quality fluctuation periods based on probability statistics
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.
Owner:STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
Root cause analysis method and device for statistical indexes, equipment, medium and product
The invention discloses a root cause analysis method and device for statistical indexes, equipment, a medium and a product, and relates to the technical field of root cause analysis. The method comprises the steps of determining at least one dimension of a target index under the condition that the target index is a statistical index with abnormal fluctuation; determining the surprise degree and the interpretation ability of each element of the elements under each dimension of the target index; sorting the elements under each dimension according to a sequence from high to low of the surprising degrees of the elements under each dimension of the target index to obtain an element sequence corresponding to each dimension, and determining a total score of the surprising degrees of the dimensions corresponding to the element sequences according to the surprising degrees and the interpretation capabilities of the elements in each element sequence; and sorting the dimensions according to a descending order of the total points of the surprising degrees of the dimensions, and determining the first K dimensions as the root cause of the abnormal fluctuation of the target index. According to the embodiment of the invention, the efficiency of root cause analysis can be improved.
Owner:CHINA CONSTRUCTION BANK +1
Chart matching display method, electronic device and computer readable storage medium
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.
Owner:ZHEJIANG DAHUA TECH CO LTD
An IMU and UWB combined positioning method based on extended Kalman filtering
ActiveCN121540139BNavigation by speed/acceleration measurementsPosition fixationAlgorithmComputational physics
The application relates to the field of intelligent positioning, and proposes an IMU and UWB combined positioning method based on an extended Kalman filter. IMU and UWB data are collected, a combined positioning model is established, preliminary ranging is carried out according to the combined positioning model, consistency checking is carried out, independent detection and gross error discrimination of UWB measurement are carried out, the new information is used to suppress the geometrically inconsistent measurement values, when the detection exceeds the threshold, the UWB data at the moment is not used, only the IMU prediction result is reserved, when the detection passes, the square of the normalized new information of each channel is taken as a statistical index, and is mapped to a basic probability distribution function in a DS evidence theory, then the multi-channel measurement evidence is fused through a DS evidence combination rule, the fusion result is converted into a measurement noise covariance adaptive adjustment, the UWB measurement value is filtered and updated in the extended Kalman filter algorithm, and the positioning precision and stability of the IMU and UWB combined positioning in a complex indoor environment are improved.
Owner:EAST CHINA JIAOTONG UNIVERSITY
A borehole fracture stress field inversion analysis method and system based on direct dihedral angle method
PendingCN122169796AAnalysing solids using sonic/ultrasonic/infrasonic wavesConstructionsPrincipal stressVertical plane
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.
Owner:XINJIANG INST OF ENG
Root cause positioning method and electronic equipment
The invention provides a root cause positioning method and electronic equipment, and belongs to the technical field of root cause positioning. By introducing a prior contraction mechanism and a sample scale adjustment factor, accidental fluctuation of small sample groups can be effectively suppressed, and the reliability of the calculated abnormal strength score is improved. And then, by constructing a mapping framework of multivariate cost elements and adopting a Sigmoid function to unify dimensions, the technical anomaly intensity is directly associated with the business stop loss priority, so that the problem of misalignment of a statistical index and a business target in a traditional method can be solved. And finally, through a multiplicative fusion strategy, carrying out fusion calculation on the abnormal intensity score and the cost sensitivity factor to obtain a cost sensitivity score, and then selecting an optimal processing set from the abnormal candidate clustering set based on the cost sensitivity score, so that the sorting result of the clustering can directly reflect the stop loss priority, and it is ensured that resources are preferentially projected to the high-cost anomaly. The core problem that in a traditional method, statistics is remarkable, but the stop loss value is low is solved.
Owner:WEBANK (CHINA)
A method and system for processing data from a microplate assay
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.
Owner:ACADEMY OF MILITARY MEDICAL SCIENCES
PCB pad offset prediction method based on feature engineering and storage medium
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.
Owner:ARTIFICIAL INTELLIGENCE RES INST OF HEFEI COMPREHENSIVE NAT SCI CENT (ANHUI ARTIFICIAL INTELLIGENCE LAB)
Textile production man-machine efficiency optimization method and system fusing multiple AI algorithms
The invention provides a multi-AI algorithm fused spinning production man-machine efficiency optimization method and system in the technical field of spinning production management. The method comprises the steps of S1, collecting core spinning production data; s2, performing anomaly detection and filtering on the core textile production data through an anomaly detection model; s3, inputting each piece of core textile production data into the productivity prediction model to obtain a textile productivity prediction result, and generating a textile production scheduling scheme list based on the textile productivity prediction result and a production scheduling configuration rule; s4, inputting the textile production scheduling scheme list into the production scheduling optimization model to obtain an optimal production scheduling scheme; and S5, executing the optimal production scheduling scheme, and generating a textile production report based on the statistical indexes on the basis of the statistical indexes of the core textile production data generated after execution. The method has the advantages that intelligent production scheduling, automatic report generation and data closed-loop management are realized, so that the equipment utilization rate is effectively improved, the report generation time is shortened, and a data barrier is broken through.
Owner:FUZHOU DIGITAL IND INTERNET TECH CO LTD
A method and apparatus for predicting a click rate of a recommended target
ActiveCN114756750BDigital data information retrievalSpecial data processing applicationsGranularityEngineering
Owner:BEIJING SANKUAI ONLINE TECH CO LTD