Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Thermal power plant intelligent combustion control method based on cloud data and cloud computing

A thermal power plant, cloud computing technology, applied in the direction of comprehensive factory control, comprehensive factory control, electrical program control, etc., can solve the problems of boiler combustion modeling and optimization difficulties, model mismatch, etc., to reduce hardware equipment requirements and investment costs , reduce requirements, and identify the effect of a simple process

Active Publication Date: 2021-05-28
XIAN TPRI BOILER ENVIRONMENTAL PROTECTION ENG CO LTD
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the complexity of the flow field and combustion chemical reactions in the boiler furnace, there are complex coupling relationships among many operating parameters, which brings great difficulties to the modeling and optimization of boiler combustion.
The boiler has a large time-varying characteristic. With the passage of time and changes in the operating conditions of the boiler, the learning model of the boiler combustion process will have large errors. The model established offline cannot adapt to this change, resulting in model mismatch.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Thermal power plant intelligent combustion control method based on cloud data and cloud computing
  • Thermal power plant intelligent combustion control method based on cloud data and cloud computing
  • Thermal power plant intelligent combustion control method based on cloud data and cloud computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] see figure 1 , figure 2 , image 3 with Figure 4 , a method for intelligent combustion control of thermal power plants based on cloud data and cloud computing, the steps are as follows:

[0037] S1: Build a cloud database. The cloud database is divided into a benchmark database and an original database; the original database automatically collects DCS data of thermal power plants and divides them into input data and output data; input data includes unit load, coal feed to coal mills, boilers Feed water volume, feed water temperature, superheated steam temperature, reheat steam temperature, reheat steam pressure, coal quality parameters, primary air volume, secondary air volume, oxygen concentration, combustion temperature, primary air temperature, secondary air temperature, burner swing angle , fuel damper opening, secondary damper opening, burnout dampe...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a thermal power plant intelligent combustion control method based on cloud data and cloud computing, and the method comprises the steps of: firstly, constructing a cloud database, conducting abnormal value processing on input data and output data in the constructed cloud database, and then performing principal component analysis, training a heat exchange surface wall temperature prediction model, a denitration reactor inlet NOx concentration distribution prediction model and a boiler efficiency prediction model by adopting a principal component analysis result, and comparing a training result with data of a model calibration system, and if the root-mean-square error is within 15%, according to the heat exchange surface wall temperature prediction value, the NOx concentration prediction value and the boiler efficiency prediction value provided by an integrated prediction model, conducting calculation through an intelligent operation control module to obtain optimal operation parameters, thus realizing dynamic optimization control over boiler combustion and pollutant generation. The boiler efficiency and the adaptability to coal type changes are improved, the average emission load of NOx is reduced by 10% or above, and power generation benefits are maximized.

Description

technical field [0001] The invention belongs to the field of thermal automatic control, relates to an optimized operation technology of a boiler combustion system in a power plant, and in particular relates to a smart combustion control method for a thermal power plant based on cloud data and cloud computing. Background technique [0002] Thermal power plants generally use combustion adjustment tests to optimize operation. By carrying out combustion experiments under different loads, the boiler efficiency and NOx are taken as optimization targets, and the operating variables corresponding to the optimal combustion conditions are saved in the DCS setting module, so as to control the actual operation of the boiler. To regulate. However, changes in boundary conditions such as boiler load, coal type, and ambient temperature lead to a large difference between the actual operating conditions of the boiler and the experimental conditions, and the combustion adjustment test rules do...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41845G05B2219/33273Y02P90/02
Inventor 谭增强牛国平牛拥军周梦伟徐梦茜肖兴常磊
Owner XIAN TPRI BOILER ENVIRONMENTAL PROTECTION ENG CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products