Industrial big data analysis aided decision-making platform system

An industrial data and auxiliary decision-making technology, applied in data processing applications, market data collection, instruments, etc., can solve problems such as low data utilization, unreasonable data storage, and inability to process industrial data in real time, so as to improve efficiency and reduce production Cost, the effect of optimizing the production process

Inactive Publication Date: 2021-07-27
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0005] The invention provides an industrial big data analysis auxiliary decision-making platform system to solve the problems of low data utilization rate, unreasonable d

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Embodiment Construction

[0038] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0039] In view of the low data utilization rate, unreasonable data storage, inability to process industrial data in real time, and failure to form an effective data closed loop in the traditional big data framework, this embodiment provides an industrial big data analysis auxiliary decision-making The platform system, on the basis of the existing industrial big data platform, adopts the big data framework Spark to perform real-time calculation and processing of real-time data during industrial production, and at the same time divides industrial data into quality, marketing, performance and other topics, and classifies the data Mining, making full and effective use of data, helping industrial enterprises to achieve intelligent manufactur...

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Abstract

The invention discloses an industrial big data analysis aided decision-making platform system, and the system comprises a data collection layer which is used for collecting industrial data; a data storage layer which is used for storing the industrial data in various formats by adopting different types of databases and storing the industrial data in a distributed storage mode to form a plurality of data warehouses with different themes; a data analysis layer which is used for performing data analysis on the industrial data based on a machine learning prediction method; and a data service layer which is used for visually displaying the data analysis result and providing a data service to assist an operator in making a decision. Production data, external data and the like can be collected and classified and stored according to characteristics and types of the data, meanwhile, a proper industrial intelligent algorithm is selected to analyze and mine the data, effective information is extracted from the data, and industrial enterprises are helped to achieve the purposes of intelligent production, operation decision marketing and the like.

Description

technical field [0001] The invention relates to the technical field of industrial intelligent control and data mining, in particular to an industrial big data analysis auxiliary decision-making platform system. Background technique [0002] Big data processing is a technology for storing and analyzing massive data, and the technologies involved are mainly divided into data storage technology and data analysis technology. [0003] Data storage is one of the key technologies in the field of big data, and its large-capacity, fast access and low-latency response determine the performance of the big data processing platform. Therefore, many scholars at home and abroad have studied the construction of large-capacity, high-performance, and scalable data storage systems. Since the development of data storage technology in the late 1950s, it has undergone three transformations according to changes in demand, and the storage mode currently adopted is mainly distributed management of ...

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/02G06N20/00
CPCG06Q10/0637G06Q30/0201G06N20/00
Inventor 傅梦辰刘泽楷谢雨哲陈琪颜玲
Owner UNIV OF SCI & TECH BEIJING
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