Calibration method for rich structure (Common Information Model) by adopting high-speed IO technology

Abstract

The invention discloses a calibration method for a rich structure (Common Information Model) by adopting a high-speed IO technology. The calibration method comprises the following steps of reading a raw information description model file from a computer storage system by an IO layer and storing the read raw information description model file in a memory; extracting a calibration framework from meta data by a calibration schema extraction layer; after extracting the calibration framework, performing mutual conversion on a conversion layer; returning a calibration result through a calibration layer by comparing the data attribute with the calibration framework; if the calibration result shows that the calibrated object accords with the standardized definition of the calibration framework, ending the calibration operation; if the calibrated object does not accord with the standardized definition of the calibration framework, positioning a data row which does not accord with the standardized definition in raw data, opening the raw data, and automatically adopting a highlight mode to express first wrong data for being modified and saved by a user. The system has the advantages of good data adaptability and data calibrating and error capabilities.

Description

[0001] technical field [0002] The present invention belongs to the field of computing-level science and technology. It summarizes the advantages and disadvantages of the existing intelligent electricity collection system and changes the application status of the standardized model. This paper proposes an intelligent electricity information verification system based on the scalable markup language verification method. And design logic algorithms to realize in-depth functions such as conversion of different models, verification of information, and intelligent error correction of information. Background technique [0003] With the continuous increase in the application requirements of electric power enterprises, how to establish a common information model and a general method to realize the integration of information between electric power enterprises, and finally realize the seamless data interaction between the application functions of the application software among electric...

AI Technical Summary

Problems solved by technology

When the abstract model is applied in reality, it is inevitable that there will be many problems such as model interpretation deviation and model compatibility.

At the same time, diverse developers often have their own unique understanding of the structure and specifications of the model. This way of understanding can often increase efficiency when manufacturers conduct internal development and testing of electrical equipment. While information systems and hardware from different vendors are gradually integrated into one system, these different understanding and interpretation methods are likely to create great barriers to data interaction and sharing between systems

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