Used for intelligent modeling and acquisition system of system index

Abstract

The invention relates to the technical field of modeling and collecting system indexes. A system for intelligent model and acquisition of system indicators is disclosed, including a multithreaded distributed module, acquisition engine module, data reconstruction module, data storage module, visual engine module, a self-matching module and a rule triggering module, After the first-level index modelis input into the software, the system can automatically establish the cross-system collection model of the index according to the calculation parameters involved in the first-level index, and then obtain the second-level index data from multiple systems through the technology of analog login page resolution at regular intervals, and automatically calculate, generate the calculation results of the first-level index. When it is found that the calculation result of the first-level index is lower than the expectation, the alarm is carried out, and the warning prompt is provided. The invention changes the calculation mode of the index from manual operation to automatic operation of the system, and can realize a series of automatic functions such as automatic collection, automatic integration,automatic calculation, automatic ranking, automatic warning and the like by the system, thereby greatly improving the management quality efficiency.

Description

technical field [0001] The invention relates to the technical field of modeling and collection of system indexes, in particular to an intelligent modeling and collection system for system indexes. Background technique [0002] At present, in the calculation of peer benchmarking of power companies, there are a total of 141 first-level indicators, involving more than 500 second-level indicators. These indicators are further divided into subjective scores and actual data calculation scores. Due to the large number of systems involved in the secondary indicators, multiple systems cannot provide effective interfaces. As a result, it is difficult to effectively transfer data between systems. Currently, the overall indicator data acquisition work is manually checked on multiple systems, and then the same manual Aggregation, sorting, and report output, the overall calculation is manual statistics and is very complicated, the labor cost is high, and the accuracy rate is low, especia...

AI Technical Summary

Problems solved by technology

Due to the large number of systems involved in the secondary indicators, multiple systems cannot provide effective interfaces. As a result, it is difficult to effectively transfer data between systems. Currently, the overall indicator data acquisition work is manually checked on multiple systems, and then the same manual Aggregation, sorting, and report output, the overall calculation is manual statistics and is very complicated, the labor cost is high, and the accuracy rate is low, especially the manual acquisition of secondary index data from 50 systems has greatly affected the power management system and statistical timeliness Require

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