A fast random distribution storage method for industrial process working condition data

A technology of working condition data and industrial process, applied in the direction of electrical digital data processing, digital data information retrieval, special data processing applications, etc., can solve the problems of storage server system performance bottlenecks, unable to meet data storage applications, etc.

Active Publication Date: 2020-12-04
CHONGQING UNIV
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Problems solved by technology

As a result, the storage server has become the bottleneck of system performance and the focus of reliability and security, which cannot meet the needs of data storage applications in industrial process conditions.

Method used

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  • A fast random distribution storage method for industrial process working condition data
  • A fast random distribution storage method for industrial process working condition data

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with drawings and embodiments.

[0033] figure 1 It is a structural diagram of the data distribution storage system for industrial process conditions. As shown in the figure, what the present invention provides is a fast random distribution storage mode of industrial process working condition data, with a master data server as the data center, multiple slave data servers as data nodes, and each data node is connected to the data center Data interaction, and the same type of data is stored on the same data node, and the time stamp of data access and historical data is established at the same time. Each data node is a data partition of the data center, that is, a part of the data in the data center. When idle, the data center and each data node do not maintain a connection state, and the data between the data center and each data node may change. When necessary, each data node is connected to the data ...

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Abstract

The invention discloses an industrial process condition data quick random distribution storage method. A main data server is taken as a data center; multiple slave data servers are taken as data nodes; and each data node performs data interaction with the data center. The method comprises the following specific steps of S1: collecting equipment running condition data, preprocessing the data, storing the data in a cache of the data center, and numbering data types in the cache; S2: performing redundancy elimination processing on the collected condition data; S3: calculating a proportion Pi of aquantity of each type of data in a total data quantity; S4: setting threshold vectors P'1, P'2, ..., P'i; and S5: by comparing the Pi with the threshold vectors, storing the data in different slave servers. According to the industrial process condition data quick random distribution storage mode, the information input speed is increased and the running load of a system is reduced.

Description

technical field [0001] The invention relates to the technical field of computer data information storage, in particular to a fast random distribution storage mode of industrial process working condition data. Background technique [0002] Industrial process working condition data refers to the data generated in the application of informatization in the industrial field. Industrial process working condition data uses advanced big data technology to run through all aspects of industrial design, technology, production, management, and service, enabling industrial systems to have intelligent functions such as description, diagnosis, prediction, decision-making, and control. Industrial process data has five characteristics: large data volume, wide distribution, complex structure, diverse speed requirements, and uneven data value. [0003] The existing data storage system for industrial process conditions combines memory database and disk historical database to store real-time hi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/06G06F16/174
CPCG06F3/0614G06F3/067
Inventor 张可柴毅郑雯胡月张悦
Owner CHONGQING UNIV
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