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Desulfurization system multi-source heterogeneous data feature extraction method and device

A technology of multi-source heterogeneous data and desulfurization system is applied in the field of feature extraction of multi-source heterogeneous data of desulfurization system, which can solve the problem of multiple data sources and achieve the effect of improving accuracy

Inactive Publication Date: 2021-11-12
DATANG ENVIRONMENT IND GRP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, for the desulfurization system, there are many underlying data sources, and there are obvious heterogeneous characteristics among the data. How to make full use of these multi-source and heterogeneous data of the desulfurization system to improve the accuracy of the desulfurization system modeling is a key issue. current problems

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  • Desulfurization system multi-source heterogeneous data feature extraction method and device
  • Desulfurization system multi-source heterogeneous data feature extraction method and device
  • Desulfurization system multi-source heterogeneous data feature extraction method and device

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specific Embodiment approach

[0025] detailed description It is a flow chart of the multi-source heterogeneous data feature extraction method of the desulfurization system according to the embodiment of the present invention

[0026] In order to solve the above-mentioned problems in the prior art, the embodiment of the present invention provides a method and device for feature extraction of multi-source heterogeneous data of the desulfurization system. 2D image data; establish 1D-CNN and 2D-CNN multi-source heterogeneous data extraction models, the 1D-CNN model mainly processes the one-dimensional time series data of the desulfurization system, and the 2D-CNN mainly processes the image data of the desulfurization system; based on the established models, the desulfurization According to the characteristics of the multi-source heterogeneous data of the system, different types of data are fused according to the extraction results to obtain data of the same type.

[0027] The technical solutions of the pres...

Embodiment 1

[0065] According to an embodiment of the present invention, a multi-source heterogeneous data feature extraction device for a desulfurization system is provided, Figure 5 It is a schematic diagram of the multi-source heterogeneous data feature extraction device of the desulfurization system in Embodiment 1 of the device of the present invention, as shown in Figure 5 As shown, the desulfurization system multi-source heterogeneous data feature extraction device according to the embodiment of the present invention specifically includes:

[0066] The acquisition module 50 is configured to acquire multi-source heterogeneous data of the desulfurization system including one-dimensional time-series data and two-dimensional image data; the one-dimensional time-series data is desulfurization system operation data collected from the DCS, specifically including at least one of the following: Coal unit load, flue gas volume at the inlet of the absorber, SO2 concentration at the inlet of ...

Embodiment 2

[0082] An embodiment of the present invention provides a multi-source heterogeneous data feature extraction device for a desulfurization system, such as Figure 6 As shown, it includes: a memory 60, a processor 62, and a computer program stored on the memory 60 and operable on the processing 62. When the computer program is executed by the processor 62, it is implemented as in the method embodiment. steps described.

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Abstract

The invention discloses a desulfurization system multi-source heterogeneous data feature extraction method and device. The method comprises the following steps: acquiring desulfurization system multi-source heterogeneous data including one-dimensional time sequence data and two-dimensional image data; building a 1D-CNN multi-source heterogeneous data extraction model and a 2D-CNN multi-source heterogeneous data extraction model, with the 1D-CNN multi-source heterogeneous data extraction model being used for processing one-dimensional time sequence data of the desulfurization system, and the 2D-CNN multi-source heterogeneous data extraction model being used for processing two-dimensional image data of the desulfurization system; and based on the 1D-CNN multi-source heterogeneous data extraction model and the 2D-CNN multi-source heterogeneous data extraction model, performing feature extraction on the multi-source heterogeneous data of the desulfurization system to obtain isomorphic type data, and fusing new isomorphic type data by adopting a principal component analysis method to obtain new fusion features of the same structure. According to the method, the operation condition of the desulfurization system can be represented from multiple angles, and the data modeling precision is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for extracting features of multi-source heterogeneous data in a desulfurization system. Background technique [0002] With the promulgation of a series of national policies and regulations, the emission of air pollutants from coal-fired power plants has been brought under strict supervision, and each power plant has successively carried out retrofits for ultra-low emission of flue gas. Sulfur dioxide is one of the pollution sources produced by power plants, and its control effect is crucial to environmental quality. Limestone-gypsum wet desulfurization technology is currently the most effective and widely used SO 2 Emission control technology has become the most important flue gas desulfurization technology for coal-fired power plants in my country. [0003] In order to find out the operation status of the desulfurization system, the modeling method ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q50/06G06N3/04
CPCG06Q50/06G06N3/045G06F18/2135G06F18/253
Inventor 袁照威王彦文孟磊谷小兵白玉勇曹书涛夏爽王力广田晨龙李广林杜明生李玉宇宁翔岳朴杰
Owner DATANG ENVIRONMENT IND GRP
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