4 results about "Aggregate analysis" patented technology

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 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.