15 results about "Aggregate analysis" patented technology

The invention discloses a terminal network information processing and detecting method based on aggregation analysis, and belongs to the field of network security. Aiming at the defects of the traditional method in the aspects of mass terminal data processing efficiency, anomaly detection accuracy and real-time response capability, a three-level architecture is provided: a data acquisition layer deploys a lightweight probe, acquires data according to a standardized format and dynamically adjusts a sampling period; the aggregation analysis layer performs three-dimensional aggregation from time, space and multi-protocol association entropy; and the dynamic detection layer adopts a linear regression and random forest hybrid model to calculate an abnormal score, and realizes accurate detection in combination with an adaptive dynamic threshold mechanism. Through smart power grid scene verification, the detection accuracy reaches 99.2%, the false alarm rate is 2.1%, the average delay is 120 ms, and the anomaly recognition capability in a complex network environment is effectively improved.

The invention discloses a system stability analysis method and device and electronic equipment. The method relates to the technical field of system testing, and comprises the following steps: in response to a test operation initiated by a user for carrying out system stability analysis on a target service scene of a to-be-analyzed system object, collecting analysis index data under the target service scene; evaluating the analysis index data by adopting different index evaluation modes corresponding to the target business scene to obtain first stability analysis results of the different index evaluation modes corresponding to the analysis index data; carrying out aggregation analysis on each first stability analysis result by adopting a maximum instability principle to obtain second stability analysis results corresponding to different index evaluation modes; and performing comprehensive evaluation based on the second stability analysis result by adopting a maximum instability principle to obtain a system stability analysis result of the target business scene of the to-be-analyzed system object. The accuracy of system stability analysis can be improved.

The embodiment of the invention belongs to the technical field of research, development and design, is applied to a data management statistical scene under a big data scale, and relates to a data management statistical method based on a dynamic open point line segment tree and related equipment thereof. All the task index data in the source database are sorted, summarized and analyzed through the dynamic open-point line segment tree data structure, so that secondary analysis is carried out on all the task index data in the source database subsequently; according to the method, secondary analysis can be carried out by directly adopting the arrangement and summarization result of the dynamic open point line segment tree data structure, and compared with analysis directly carried out from a source database, the time complexity of query and update is reduced from O (N) to O (logN), and the analysis efficiency of subsequent secondary analysis is improved. The method can be applied to management statistics between the insurance sales price and the sales volume, and the statistical analysis efficiency between the insurance sales price and the sales volume is improved by taking the insurance sales price as task index data and taking the sales volume as a statistical result at different nodes.

The utility model relates to an anti-electrostatic shielding contrast analyzer in the technical field of contrast analyzers, a cleaning device comprises a screw rod II which is inserted on the inner wall of a box cavity of an aggregate analysis box and is used for rotating, and a bevel gear IV which is used for being meshed and connected with a connecting assembly is arranged on a rod body of the screw rod II; a sweeping brush used for discharging the scraped powder coating out of the aggregate analysis box is connected to a rod body of the fourth bevel gear in a threaded mode, and a round rod used for guiding the sweeping brush is arranged on the right side of the second screw rod. When a first screw rod is driven to rotate through a hand wheel, a movable plate can drive a scraping plate to move front and back at the bottom end of a smearing groove, powder coating in the smearing groove can be scraped, meanwhile, a second screw rod synchronously rotates along with the first screw rod, and a sweeping brush can be driven to sweep the powder coating falling from the bottom end of an aggregate analysis box to a slag discharging opening. And then the powder coating is collected into the collecting pipe through the slag discharging opening, so that the problem that the scraped powder coating is accumulated in the aggregate analysis box can be solved.

The present invention discloses a soil aggregate structure analyzer, comprising an oscillation shaft, the bottom end of which is vertically inserted into a supporting box, a linear bearing is sleeved on the main body of the oscillation shaft, the bottom end of which is hingedly connected to an eccentric seat through a double-headed joint bearing, and the eccentric seat is installed on the output shaft of a motor; a plurality of cantilevers distributed in a circumference are installed on the upper part of the main body of the oscillation shaft, the cantilever height is adjustable, and the angle between adjacent cantilevers is adjustable, the inner end of the cantilever is connected to the oscillation shaft through a mounting seat, and an oscillation frame is installed on the outer end of the cantilever through a hook, and a height-adjustable accommodation space is provided inside the oscillation frame, and a plurality of mesh cages are installed in the accommodation space along the vertical direction. The present invention can adjust the eccentricity level to realize the analysis of different needs, can simultaneously perform aggregate analysis on two or more soil samples, can expand the number of mesh cages in the longitudinal direction, improve its scope of application, and can solve the problems of inconvenient installation of the oscillation frame and the mesh cage and the existence of installation dead angles.

This application discloses a risk warning method, apparatus, equipment, and product, relating to the field of risk detection technology. The method includes: receiving transaction data and calculating the transaction data using a set of transaction risk control clauses to obtain an initial risk control result; performing mutual exclusion and joint relationship judgments on the initial risk control result to obtain mutual exclusion judgment results and joint judgment results; performing aggregate analysis on the mutual exclusion judgment results and joint judgment results to obtain a final risk control result, and generating alarm information based on the final risk control result. This solves the problem of inaccurate risk control judgments and low efficiency in asset management risk control systems due to rule conflicts and insufficient adaptation, thus improving the efficiency of risk warning.

The utility model relates to the technical field of machine-made sand detection, and particularly discloses a machine-made sand coarse aggregate analysis device. The machine-made sand coarse aggregate analysis device is composed of a base, a placement table, a circular screen and a light source device. The base comprises a rectangular base, and a fixing rod and a rotating disc are arranged on the two sides respectively. The placing table comprises a table top and a vibration rod, the vibration rod is composed of a spring and a large cylinder and a small cylinder which are coaxial vertically, and the lower end of the spring is fixed to the table top. The circular screen cloth is detachably connected with the containing table through the positioning holes, and the screen frame is of a circular ring structure. The light source device comprises a hinge piece and an annular lamp, two ends of the light source device are respectively connected with the base fixing rod and the lamp through clamps, and the hinge piece can adjust levelness of the lamp. The device realizes efficient treatment of coarse aggregate through vibration screening in combination with light source assistance. The purpose of the utility model is to solve the problem of insufficient capture of coarse aggregate surface details by existing light sources. The machine-made sand coarse aggregate image acquisition device is mainly used for machine-made sand coarse aggregate image acquisition.

The invention relates to the technical field of recycled aggregate recovery, in particular to an intelligent recycled aggregate recovery system for building waste, which comprises a data acquisition module for acquiring image information and air injection pressure of a pneumatic nozzle, and a hierarchical control module comprising a target aggregate analysis unit for determining a plurality of parameters of a target aggregate, the path planning unit is used for determining a path planning mode of the target aggregate based on the linear distance between the initial position and the target position so as to plan an ideal motion path, determining a triggering time interval of the ideal motion path according to the classification level, and correcting the triggering time interval; the air injection pressure determining unit is used for determining and correcting the initial air injection pressure, and the sorting precision determining unit is used for determining the grading accuracy rate of the target aggregate according to the image information of the blanking process, determining whether the sorting process is qualified or not, and optimizing the path planning mode according to the grading deviation of the target aggregate. The grading precision of the recycled aggregate is improved.

The invention relates to a group analysis method and device based on dynamic age and computer equipment, and the method comprises the steps: generating a user group meeting a first preset condition based on an obtained activity data table; the behavior track information of each target user in the user group is matched with a first preset condition; analyzing the behavior track information of each target user according to a preset constraint chain rule to obtain a dynamic behavior age of each target user; the constraint chain rule is composed of a plurality of behavior conditions used for defining key nodes in the user behavior track; and based on the dynamic behavior age of each target user, performing aggregation analysis on each target user to obtain an aggregation index. Through the method and the device, the problem that the analysis result is distorted due to the fact that the staged features of the user behaviors cannot be accurately reflected and multi-dimensional group analysis is not supported is solved, the staged features of the user behaviors are accurately reflected, the multi-dimensional group analysis is supported, and the accuracy of the analysis result is improved.

The present application relates to a method, apparatus, device, and medium for analyzing slow SQL statements in a database, and relates to the field of database technology. The method comprises: obtaining execution data corresponding to multiple slow SQL statements within a preset period, the execution data comprising stage data of at least one execution stage and stage indicators corresponding to each execution stage; for each execution stage, performing indicator analysis on the stage data of the execution stage based on the stage indicators corresponding to the execution stage to obtain corresponding indicator change information; performing aggregate analysis processing on all indicator change information to obtain query rates corresponding to multiple slow SQL statements within the period; and generating analysis data for assisting in analyzing a target stage based on the query rates and a preset benchmark query rate, thereby effectively optimizing the analysis process of slow SQL statements, enabling accurate analysis of optimization stages that affect the operation of the database system, and helping operation and maintenance personnel optimize the database system.

The application discloses a kind of China-Mongolia multilingual cross-border e-commerce big data analysis visualization method and system, belong to cross-border e-commerce big data processing technical field.The method is in the data belonging edge node access and pre-process China-Mongolia bilateral cross-border e-commerce, customs supervision and border trade circulation data;The data after pre-processing is between the semantic matching of simplified Chinese and Cyrillic mongolian, cross-language search and data dimension alignment;Based on center-edge federal architecture, metadata, system configuration data, analysis result and each edge node belonging original data are stored;Center node generates distributed computing task according to analysis request, metadata and multilingual adaptation result and is issued to the edge node where data is located;When cross-node joint analysis, aggregate analysis result is obtained by encryption transmission and security aggregation, and China-Mongolia multilingual visualization display result and bilingual report are generated.

The invention relates to the technical field of data privacy protection, in particular to a questionnaire privacy protection method and system based on local differential privacy, and the method comprises three steps: data collection, data processing and statistical analysis. The answer data comprises single-option data and multi-option data; data processing: carrying out random response disturbance processing on single-option data by adopting a K-RR algorithm; carrying out disturbance on the multi-option data by adopting an RAPPOR algorithm; and statistical analysis: the server side performs aggregation analysis on the disturbed data to obtain statistical characteristics of real data. According to the invention, K-RR and RAPPOR algorithms are innovatively applied to questionnaire data processing, so that the defect of a traditional questionnaire system in the aspect of privacy protection is effectively overcome, the purpose of maintaining data statistics effectiveness while protecting user privacy is achieved, and the security and user credibility of the questionnaire system are remarkably improved.

This invention discloses an intelligent broadband network fault diagnosis system and method, belonging to the field of broadband network technology. The system includes a front-end system, a middleware system, and a back-end system. The front-end system integrates multiple diagnostic function modules, such as network diagnosis, network speed testing, and WiFi analysis, used to detect the user's broadband network environment and send the results to the middleware system. The middleware system is responsible for receiving and processing the data sent by the front-end system, forming standardized data for distribution to both the front-end and back-end systems, performing real-time analysis and providing preliminary optimization suggestions, performing aggregate analysis, and generating statistical reports. The back-end system centrally stores data and provides multi-dimensional retrieval and analysis functions. Under the control of the middleware system, the various diagnostic function modules of the front-end system can be sequentially invoked according to a preset process to achieve rapid collection of key network data. Through efficient collaboration and intelligent analysis among the front-end, middleware, and back-end systems, this system improves the efficiency and accuracy of broadband network fault diagnosis.

Described herein are techniques for addressing queries regarding vehicles without sharing of individually identifiable information regarding individual vehicles. Aggregate analysis data resulting from performance of statistical operation(s) on vehicle information regarding the individual vehicles may be used to address the queries without requiring an exchange of individually identifiable information obtained from the individual vehicles.

The invention discloses a power grid low-voltage transformer area line loss diagnosis method, system and device and a storage medium, and relates to the field of transformer area line loss diagnosis, and the method comprises the steps: obtaining line loss calculation original data in real time, generating a unified data view data set through field mapping and association fusion, and carrying out the quality treatment of the unified data view data set; processing noise, missing and abnormal values to obtain a data subset; receiving a diagnosis instruction, scheduling a data subset to a diagnosis unit, generating quantitative indexes by each unit, comparing the quantitative indexes with threshold values, outputting abnormity details, aggregating and analyzing diagnosis results, identifying abnormal association and generating a report; the report is pushed to a line loss manager, and closed-loop management is completed; according to the method, multi-source heterogeneous data fusion processing can be realized, the rule execution efficiency is improved, the line loss abnormity is accurately diagnosed, the data quality is guaranteed, the whole process is automatic, and closed-loop management is formed.