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Intelligent emission reduction system based on polymorphic information fusion

A polymorphic and intelligent technology, applied in general control systems, control/regulation systems, comprehensive factory control, etc., can solve problems such as similarity, dissimilarity, blank space, etc., to solve the problem of small samples, reduce pollution problems, The effect of maintaining safe operation

Active Publication Date: 2019-08-13
ANYANG NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Although the process monitoring problem based on multi-mode has always been a research hotspot in the field of control, and there are many mature research results, but in the face of the special production background of the steel industry, the process monitoring research for environmental protection and emission reduction systems is almost blank. , there are still many basic problems that need to be solved urgently; the diversification of products and the demand-oriented production mode in the production process of the iron and steel industry make the operation process of the corresponding environmental protection and emission reduction equipment present a multi-modal characteristic: the production of the same product The process contains multiple stable and transitional modes; there are both similarities and dissimilarities between the modes of different operating conditions

Method used

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Embodiment 1

[0027] This embodiment provides a structural diagram of an intelligent emission reduction system based on multi-modal information fusion. Such as figure 1 As shown, the structure is as follows:

[0028] S101 Remote Sensing System: Used to obtain the thermal environment data of the steel production area, transmit the thermal environment data to the emission reduction dispatching center, obtain the second thermal environment data of the steel production area after the first set time, and send the second thermal environment data Transmission to the emission reduction dispatch center;

[0029] Optionally, the thermal environment data and the second thermal environment data are thermal infrared remote sensing data and thermal infrared load parameters. When the emission reduction dispatching center receives the thermal environment data and / or the second thermal environment data, it inverts the temperature of the steel production area. Surface temperature field, call the background...

Embodiment 2

[0037] This embodiment provides a multi-modal information fusion method, which is used in an intelligent emission reduction system based on multi-modal information fusion. Such as figure 2 As shown, the method includes the following steps:

[0038] S201 Expansion of sample space: Carry out sample learning on the thermal environment data, the first data group and the third data group to realize the expansion of the sample space, and carry out network structure design and network parameter training;

[0039] Optionally, analyze the thermal environment data, the first data group and the third data group according to the probability generation model, realize the transformation from small sample space to large sample space, and realize the expansion of sample space;

[0040] Optionally, the multiplexing degree of the thermal environment data, the first data group and the third data group is increased to improve the learning ability of small samples.

[0041] S202 performing feat...

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Abstract

The invention relates to the technical field of emission reduction in the iron and steel industry, and in particular to an intelligent emission reduction system based on polymorphic information fusion. The intelligent emission reduction system comprises: a remote sensing system, an exhaust gas treatment system, a water supplement and drainage system, an early warning system and an emission reduction dispatching center, the data in the remote sensing system, the exhaust gas treatment system and the water supplement and drainage system are all sent to the emission reduction dispatching center for processing, and the emission reduction dispatching center performs sample learning, deep learning, width learning and adaptive learning on the data of the remote sensing system, the exhaust gas treatment system and the water supplement and drainage system, and establishes a multilevel rule base. The intelligent emission reduction system provided by the invention can not only maintain the safe operation of the equipment, but also can minimize the environmental pollution caused in a production process of the iron and steel industry.

Description

technical field [0001] The invention relates to the technical field of emission reduction in the iron and steel industry, in particular to an intelligent emission reduction system based on multi-form information fusion. Background technique [0002] The iron and steel industry is an important basic industrial sector and the material basis for the development of the national economy and national defense. As a huge heavy industry sector, its production process will cause unavoidable pollution to the environment. With the rapid development of the national economy, resources are increasingly scarce, and the pressure on the ecological environment is increasing. The traditional development model of high consumption and high pollution in the iron and steel industry is difficult to continue. It is inevitable to change to a low-carbon economy and green manufacturing. "Market-oriented energy conservation and emission reduction" is the main means for enterprises to transform into low ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41865G05B2219/32252Y02P90/02
Inventor 睢丹李勇田喜平张志彦李俊峰
Owner ANYANG NORMAL UNIV
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