Embedded DCS (Distributed Control System) disk monitoring system based on big data analysis

A DCS system, embedded technology, applied in database management systems, data processing applications, structured data retrieval, etc., can solve problems such as unevenness, improve reliability, reduce labor intensity and work pressure, and reduce unplanned outages Effect

Pending Publication Date: 2022-08-09
ZHEJIANG ZHENENG TAIZHOU NO 2 POWER GENERATION CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0007] 3) Nonlinear
[0009] 4) Variation

Method used

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  • Embedded DCS (Distributed Control System) disk monitoring system based on big data analysis
  • Embedded DCS (Distributed Control System) disk monitoring system based on big data analysis
  • Embedded DCS (Distributed Control System) disk monitoring system based on big data analysis

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Experimental program
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Embodiment Construction

[0048] like Figure 1-6 As shown, the embedded DCS monitoring system based on big data analysis includes the following steps:

[0049] S1: Build a monitoring server and integrate it into the DCS system network to read and store DCS data in real time;

[0050] S2: Build a model server, read and write data to the monitoring server through the interface;

[0051] S3: Taking the model 6 of the water outlet temperature of the upper bar of the generator stator as an example, the model server preprocesses the acquired data and eliminates abnormal data;

[0052] S4: Model training, modeling the filtered data through the built-in algorithm of the model server;

[0053] S5: The model running results are written back to the monitoring disk server through the interface, and displayed on the operator station through the DCS configuration screen. The configuration screen displays such as Figure 5 .

[0054] 2. the embedded DCS monitoring disk system of big data analysis according to c...

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Abstract

The invention relates to the technical field of power plant fault diagnosis, in particular to an embedded DCS (Distributed Control System) monitoring system based on big data analysis. Comprising the following steps: S1, establishing a disk monitoring server, assembling a DCS system network, and reading and storing DCS data in real time; s2, building a model server, and reading and writing data to a disk monitoring server through an interface; s3, the model server preprocesses the acquired data according to the modeling content, and removes abnormal data; s4, model training: modeling the screened data through a built-in algorithm of a model server; and S5, writing a model operation result back to the disk monitoring server through an interface, and displaying the model operation result on an operator station through a DCS configuration picture. Compared with the prior art, the system and the method have the advantages that a big data analysis technology is utilized to realize intelligent disk monitoring, an embedded DCS (Distributed Control System) mode is used to guide operation personnel more intuitively and in a more humanized manner, abnormal symptoms of equipment can be effectively early warned, and the reliability of the equipment is improved.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of power plants, in particular to an embedded DCS monitoring system based on big data analysis. Background technique [0002] At present, coal-fired thermal power plants still occupy a dominant position in my country. As the level of informatization and digitalization of power plants has been greatly improved, distributed control systems, management information systems, and monitoring information systems have been widely used in coal-fired power plants. The plant stores a large amount of operating data covering the entire production process of the plant. As a typical complex industrial system, thermal power unit's data form belongs to the category of process industry big data, and its data has the following characteristics: [0003] 1) Dynamic [0004] The power generation process constitutes a complex multivariable system involving numerous parameters for process description. In terms o...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G06N20/00G06N20/10G06F16/215G06F16/25G06Q50/06G08B31/00
CPCG06N3/08G06N20/00G06N20/10G06F16/215G06F16/25G06Q50/06G08B31/00G06N3/045Y02P90/02
Inventor 王策金宏伟方国跃朱善会胡尧地胡戎陈剑荣柳红恩邵建宇吴业成刘凯锐
Owner ZHEJIANG ZHENENG TAIZHOU NO 2 POWER GENERATION CO LTD
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