Curve data storage device and method

Abstract

The invention provides a curve data storage device and a curve data storage method. The curve data storage device comprises a bottom database management module, a curve database engine, a metadata management module, a module for converting curve structured query languages into standard structured query languages, and a curve data visualization module. The device provides a conversion mechanism from curve data to relation data to realize the storage of the curve data, and also provides an operational function which takes an integral curve as a basic object, and query results of the curve data are visual. In the curve data storage method, the inputted curve data is converted into the relation data for storage through the conversion mechanism from the curve data to the relation data, the integral curve can be used as the basic object to perform query, and the results can be displayed to users on a visual interface. The curve data storage device and the curve data storage method can help the users to explore the data better, only three relation data sheets are related in the curve data storage, and the query efficiency of the data is improved.

Description

technical field [0001] The invention belongs to the field of computer data processing, and in particular relates to a curve data storage method and a device thereof. Background technique [0002] For the informatization of the traditional business process and administrative process of an enterprise, the use of traditional relational databases to store and manage data is relatively mature. With the rapid development of computer technology, the information construction of enterprises has entered a new stage. The symbolic work of this stage is that enterprises should informatize their own business processes. For example, when testing a product, sensors are generally used to collect various test data, and the collected test data, which has been properly processed, is mathematically expressed as a numerical data sequence. Each numerical data sequence can be visualized as a curve, so that a numerical data sequence can be regarded as a curve. In the face of these massive test dat...

AI Technical Summary

Problems solved by technology

At this time, based on the relational data model, the database established by using traditional relational database products cannot effectively meet the needs of this type of enterprise's business process informatization. There are mainly the following problems

[0003] (1) The storage method is complex

From the user's point of view, the relational data model is composed of a group of relations, and the data structure of each relation is a standardized two-dimensional table. To describe the relevant data information of complex data objects such as curves, the storage method will change. complicated

[0004] (2) Low query and operation efficiency

The database built using traditional relational database products adopts a set-oriented operation method, and cannot use curves as the basic operation object. When querying and computing complex data objects such as curves, it will cause joint operations of multi-layer tables. Resulting in inefficient query and operation

[0005] (3) Cannot provide a visual data operation environment

Traditional relational databases only provide a data organization method without visualizing the data, so they cannot better help users observe the distribution of data and obtain the relationships and rules in massive data

[0006] Journal of Petroleum University (Natural Science Edition) Volume 25, Issue 5, 2001 Article Number: 100-5870 (2001) 05-0100-02 "Using database and graphic processing technology to realize the storage and management of logging curve data" Use the binary large data type BLOB provided by the relational database ORACLE8 to store curve data. Although it can effectively improve data storage efficiency, data points are still used as the basic storage unit. When encountering massive curve data storage and curve calculation operations , the efficiency is still not high

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