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A source data configuration management method in manufacturing data mining

A data mining and configuration management technology, applied in the field of data processing, can solve the problems of data islands, poor data integrity, lack of interaction mechanisms and methods, etc., to reduce the difficulty of use, intuitive operation, and increase flexibility.

Active Publication Date: 2020-07-28
成都天衡智造科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The reason for this phenomenon is that in addition to the problems of the data itself, such as data islands and poor data integrity, a very important factor is the lack of interaction mechanisms and methods between data sources and data analysis methods.
Whether it is commercial software or free open source software, there are many data analysis software, but these software have a significant disadvantage: only the general structure of the analyzed data is required, but not the role of the data in the data analysis task and configuration requirements

Method used

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  • A source data configuration management method in manufacturing data mining

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] A source data configuration management method in manufacturing data mining, comprising the following steps:

[0032] Step 1: Organize and classify the data analysis tasks of the manufacturing industry. After refining and sorting, the data analysis tasks of the manufacturing industry are divided into two categories: cross-type analysis tasks and non-cross-type analysis tasks. Define code rules separately;

[0033] Step 2: Extend the data source correspo...

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Abstract

The invention provides a source data configuration management method in manufacturing industry data mining. Data analysis tasks of the manufacturing industry are sorted and classified, the data analysis tasks of the manufacturing industry are divided into two categories through refining and sorting, data analysis is carried out by establishing a data model pair, and different data formats are defined for various types of data, so that data configuration and management are completed.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a source data configuration management method in manufacturing data mining. Background technique [0002] Today, the manufacturing industry is developing day by day, and the technology upgrading of the manufacturing industry is changing with each passing day. Artificial intelligence methods such as machine learning are constantly being applied to the manufacturing industry, making continuous contributions to the data mining of the manufacturing industry. Although the application of machine learning methods in some industries is relatively mature, its application in manufacturing is still in the ascendant, and there are still many technical fields that need to be explored and studied. The data source management method in manufacturing data mining targeted at this case is one of them. [0003] For a long time, data analysis in the manufacturing industry has basically stay...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28G06F16/21
Inventor 王伟旭李冉
Owner 成都天衡智造科技有限公司
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