Measurement analysis method and system based on fog data

Abstract

The invention relates to a measurement analysis method based on FOG data. The method comprises the steps of (1) setting a computational logic, a parameter type and a report display option; (2) setting a measurement trigger type, and determining the execution time; (3) initiating a measurement processing activity; (4) analyzing measurement processing data; (5) viewing the measurement processing result and chart, raising a question for over-standard data and generating a measurement report; (6) analyzing multiple measurement values of each measurement data generated by each measurement item to learn the measurement execution condition and the measurement value change trend; and (7) listing and displaying the measurement data. By adopting the method and the system, the configuration of the measurement items is simpler; the required measurement data does not need to be computed manually, and the system automatically executes measurement processing and generates a corresponding report; the measurement result can be obtained from multiple dimensions; user-defined measurement item templates are supported, and thus meet the practical requirements of the items.

Description

technical field [0001] The present invention relates to the technical field of computer software, in particular to the technical field of metric analysis, in particular to a metric analysis method and system based on FOG data. Background technique [0002] The purpose of measurement analysis is to develop and maintain measurement capabilities to support the needs of management information. GJB 5000A defines that the measurement and analysis process area should include the following aspects: [0003] 1) specify the objectives of measurement and analysis so that they are consistent with the identified information needs and objectives; [0004] 2) Specify the measurement items and analysis techniques, as well as the mechanisms for data collection, data storage, reporting and feedback; [0005] 3) Execute data collection, storage, analysis and reporting; [0006] 4) Provide objective results for informed decision making and appropriate corrective action. [0007] Integrating ...

AI Technical Summary

Problems solved by technology

[0019] 1. Improper management of project measurement data: In the existing technology, project measurement data is distributed in multiple tools, resulting in data disorder, unable to conduct unified management, and a large workload;

[0020] 2. Single data collection method: In the existing measurement analysis, most of the measurement data collection methods only support manual collection, and the required measurement data is collected for the measurement target, and this approach will lead to a huge workload and poor accuracy. not tall;

[0021] 3. The measurement dimension is single: the results measured by the existing measurement analysis technology have a single dimension, and only support the formula of excel

It is impossible to measure different situations, resulting in a small range of data availability;

[0022] 4. The configuration is cumbersome: traditional measurement and analysis technologies do not set different templates for different projects, but need to manually fill in the required measurement data, resulting in huge input costs;

[0023] 5. The results of measurement processing are displayed in a single form

In the existing measurement and analysis technology, the display form of the measurement results is relatively simple, generally in the form of a table, which cannot intuitively show the change of the measurement value or abnormal conditions such as exceeding the standard

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