Information mining and progress forecasting method based on heterogeneous system integration

Abstract

The invention relates to an information mining and progress forecasting method based on heterogeneous system integration. Program or task progress evaluation of a plurality of current heterogeneous systems mainly has the following problems: 1, integrated integration and information sharing of the heterogeneous systems cannot be achieved; 2, the information mining depth of the progress of the various systems is not enough; 3, and no complete progress forecasting method is provided. By means of the information mining and progress forecasting method, integration of heterogeneous information systems is achieved, further a data warehouse is built, corresponding program or task progress information can be obtained through data mining, the obtained progress information is substituted into a multiple linear regression model, an accurate mathematical model can be obtained through optimization, the progress of the program or task can be calculated through the model, and the displayed graph can be audio-visual and easy to read through the database base layer technology and C++Builder visual control. The information mining and progress forecasting method introduces the multiple linear regression model into the progress forecasting algorithm of the program or task and improves the accuracy in progress forecasting.

Description

Technical field [0001] The invention relates to an information mining and schedule prediction method based on heterogeneous system integration. Background technique [0002] The so-called "heterogeneous system integration" refers to the organic integration of different database platforms and systems provided by different vendors to achieve information sharing and mutual communication. The so-called "information mining and progress estimation" is to dig out information and data related to a project or task on the basis of heterogeneous system integration, and use scientific mathematical models to estimate the progress of the task or project. [0003] In engineering applications, there are extensive requirements for information mining and schedule estimation based on heterogeneous system integration. For example, in product design and production, there are various software, such as CAPP (Computer Aided Process System), PDM (Product Data Management System), ERP (Enterprise Resource P...

AI Technical Summary

Problems solved by technology

[0004] The current project or task schedule estimation under multiple heterogeneous systems mainly has the following problems: ①Unified integration and information sharing of heterogeneous systems have not been realized

At present, heterogeneous systems in various fields (such as ERP, MES, CAPP, WMS in product design and production) are self-contained and isolated from each other, and it is difficult to realize the integration of multiple systems, so it is quite difficult to comprehensively mine progress information

②Insufficient depth of mining progress information of each system

③ There is no complete set of progress forecasting methods

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