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Data repair method, device and equipment based on machine learning in distributed environment

A distributed environment, machine learning technology, applied in data repair based on machine learning, computer equipment and media, can solve problems such as insufficient parallelism, low reusability, and low data repair efficiency, so as to improve efficiency and accuracy Effect

Active Publication Date: 2022-05-17
湖南工商大学
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In the process of realizing the present invention, the inventor realized that the prior art has at least the following technical problems: Based on the characteristics of large data volume and data storage distribution in the intelligent manufacturing industry, the existing data repair methods have low reusability and parallelization. Insufficient, difficult to transplant and other difficulties and problems, resulting in low efficiency of data repair

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  • Data repair method, device and equipment based on machine learning in distributed environment
  • Data repair method, device and equipment based on machine learning in distributed environment
  • Data repair method, device and equipment based on machine learning in distributed environment

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Embodiment Construction

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0047] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...

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Abstract

The invention discloses a data repair method, device, equipment and medium based on machine learning in a distributed environment, including: each node server performs missing data separation processing on a local data set to obtain a local complete data set and local data to be repaired Set, obtain the data quantity and data dimension of the local complete data set, and based on the data quantity, data dimension and missing characteristics of the local data set to be repaired, perform data missing simulation processing on the local complete data set, and obtain the local simulated data set to be repaired, Determine the simulated set to be repaired, and based on the simulated set to be repaired and the local data set of each node server, perform local data repair to obtain the repaired training set, use the repaired training set to perform model training on the secondary repair model, and obtain the trained two The secondary repair model is used to repair the data set to be repaired by using the trained secondary repair model. The invention improves the efficiency and accuracy of data restoration.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a data repair method, device, computer equipment and medium based on machine learning in a distributed environment. Background technique [0002] As the construction of the industrial Internet platform becomes increasingly mature, intelligent manufacturing, as the core of the industrial Internet, has become an extremely critical existence for the development of advanced manufacturing. Intelligent manufacturing runs through all aspects of manufacturing activities such as design, production, management, and service, covering four levels: perception layer, network layer, execution layer, and application layer. Among them, the perception layer is composed of various industrial sensors, a large number of networked devices and RFID, etc., which provide substantial data support for the follow-up process of intelligent manufacturing production. However, in the actual environment, ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50G06K9/62G06N3/04G06N3/08G06N20/00
CPCG06F9/5072G06N3/08G06N20/00G06N3/045G06F18/23G06F18/10Y02P90/30
Inventor 陈晓红龚思远曹文治胡东滨胡春华徐雪松梁伟
Owner 湖南工商大学