8 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.

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 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.

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.

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.