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Distributed data statistical processing system and application thereof

A distributed data and statistical processing technology, applied in special data processing applications, electrical digital data processing, computing, etc., can solve the problems of centralized processing and complex calculations, improve efficiency, improve error correction efficiency, and facilitate maintenance Effect

Active Publication Date: 2013-12-18
SHANGHAI YUANDONG SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The other type is summary statistical value, which is usually proposed according to customer management needs, and multi-parameter summary, combination, etc. are processed on the basis of basic statistical data. It is characterized by complex calculations but concentrated processing.

Method used

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  • Distributed data statistical processing system and application thereof
  • Distributed data statistical processing system and application thereof

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Embodiment

[0023] Such as figure 1 Shown, a kind of distributed data statistical processing system comprises database server 1, first OPC server 2, second OPC server 3, WEB server 4, monitoring server 5 and a plurality of PLC controllers 6, described database server 1 Connect first OPC server 2 and WEB server 4 respectively by network, described first OPC server 2 and second OPC server 3 all connect PLC controller 6 by network, described second OPC server 3 is by network connection monitoring server 5.

[0024] Each PLC controller 6 is connected with a gateway 7, and the gateway 7 is respectively connected with the first OPC server 2 and the second OPC server 3 through the network.

[0025] Apply the above-mentioned distributed data statistical processing system to the production system of Zhabei Waterworks.

[0026] Database server 1 uses DELL PowerEdge R710 enterprise server, and the configuration is as follows:

[0027] Intel(R) Xeon(R) Processor E5640 2.66GHz, 12MB cache, 5.86GT...

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Abstract

The invention relates to a distributed data statistical processing system and application thereof. The distributed data statistical processing system comprises a database server, a first OLE for process control (OPC) server, a second OPC server, a WEB server, programmable logic controllers (PLCs) and a monitoring server. The database server is respectively connected with the first OPC server and the WEB server, the first OPC server and the second OPC server are both connected with the PLCs, and the second OPC server is connected with the monitoring server. The application of the distributed data statistical processing system particularly comprises steps that the PLCs automatically store basic statistical data into the database server and transmit the basic statistical data to the monitoring server through the second OPC server; the WEB server stores reported data into the database server in real time; the database server sequentially establishes daily statement, monthly statement and annual statement according to a basic statistical data table and a reported data table at regular intervals. Compared with the prior art, the distributed data statistical processing system and the application of the distributed data statistical processing system have the advantages of balancing data processing masks, improving data statistical processing efficiency and the like.

Description

technical field [0001] The invention relates to a data processing device for an automatic control system, in particular to a distributed data statistical processing system and its application. Background technique [0002] With the technological development of automation control systems, it has become a trend to rely on databases for data statistical processing capabilities, and to perform multi-directional and large-scale data statistics on real-time working condition data. However, real-time working condition data usually has a large processing scale and requires high processing speed. At present, this huge data processing work is undertaken by the database server alone. From the perspective of the system, the task distribution is unbalanced, which increases the computational complexity of the application server and workload, making the database server overwhelmed. [0003] Statistics can generally be divided into two categories: basic statistics and summary statistics. ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 陈慧彭晓晖
Owner SHANGHAI YUANDONG SCI & TECH
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