Method and system for correcting digital twinborn model data of evaporation area of thermal power plant

A technology of model data and evaporation area, applied in the direction of electrical digital data processing, biological neural network model, neural learning method, etc.

Pending Publication Date: 2021-05-18
XI AN JIAOTONG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for correcting digital twin model data in the evaporation zone of a thermal power plant. From the perspective of real-time twin model c

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  • Method and system for correcting digital twinborn model data of evaporation area of thermal power plant
  • Method and system for correcting digital twinborn model data of evaporation area of thermal power plant
  • Method and system for correcting digital twinborn model data of evaporation area of thermal power plant

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[0092] In order to make the purpose, technical effects and technical solutions of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention; obviously, the described embodiments It is a part of the embodiment of the present invention. Based on the disclosed embodiments of the present invention, other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall all fall within the protection scope of the present invention.

[0093] The embodiment of the present invention provides a data correction method for the digital twin model of the evaporation area of ​​a thermal power plant, starting from the perspective of real-time correction of the twin model and correction of twin data, to solve the problem of the difference between the twin data generate...

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Abstract

The invention discloses a method and system for correcting digital twinborn model data of an evaporation area of a thermal power plant, and the method comprises the following steps: obtaining the operation physical data of a physical system of the evaporation area, carrying out the estimation of the physical quantity of the evaporation area through a self-adaptive square root unscented Kalman filter, and obtaining the real operation physical data; using the mechanism model and a neural network to construct and obtain an evaporation zone digital twinborn model; and synchronously operating the evaporation zone physical system and the evaporation zone digital twinborn body model to obtain real operation data and twinborn data, and correcting the twinborn data based on the real operation data. According to the method and system, the adaptive square root unscented Kalman filter, the neural network and other methods are combined, and real-time correction of the model and data of the digital twinborn in the evaporation area can be achieved, so that the consistency simulation of the digital twinborn on the running condition of the evaporation area is achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent control of thermal power plants, and in particular relates to a method and system for correcting digital twin model data of an evaporation area of ​​a thermal power plant. Background technique [0002] The rapid development of technologies such as industrial Internet, intelligent manufacturing, artificial intelligence, and big data promotes the industrial upgrading of traditional industries. Industrial manufacturing and production are developing in the direction of intelligence, digitization, and informatization. Building an intelligent industrial system has become a industry consensus. As one of the typical process industry industries, power plants play an important role in social production and life, among which thermal power plants occupy a dominant position in the power generation industry. How to realize intelligent and efficient thermal power generation has always been a matter of close...

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Application Information

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IPC IPC(8): G06F30/27G06N3/08G06F111/10G06F119/08G06F119/10G06F119/14
CPCG06F30/27G06N3/084G06F2111/10G06F2119/08G06F2119/10G06F2119/14
Inventor 蔡远利张渊胡怀中高鑫赵彦博
Owner XI AN JIAOTONG UNIV
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