Reconstruction of Temperature Field Based on Limited Flame Image Information

Chen Peng (), Chuanliang Cheng () and Ling Wang ()
Additional contact information
Chen Peng: Shanghai University, School of Mechatronic Engineering and Automation
Chuanliang Cheng: Shanghai University, School of Mechatronic Engineering and Automation
Ling Wang: Shanghai University, School of Mechatronic Engineering and Automation

Chapter Chapter 4 in Reconstruction and Intelligent Control for Power Plant, 2023, pp 65-90 from Springer

Abstract: Abstract The internal combustion system of coal-fired boiler is a complex nonlinear system with large delay and strong coupling. The most basic requirement for the boiler combustion system is that the combustion flame inside the boiler is stable and uniform, and the flame temperature is the most important combustion characteristic of the combustion flame, so the method of using flame temperature as an intermediate variable to control the boiler system has been concerned by many scholars. Compared with the traditional control method that takes the main steam pressure and other parameters as the control variable, this method greatly reduces the delay of the system, and at the same time improves the stability and economy of the system. In this chapter, a temperature field reconstruction based on the improved two-color temperature measurement is proposed.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-5574-7_4

Ordering information: This item can be ordered from
http://www.springer.com/9789811955747

DOI: 10.1007/978-981-19-5574-7_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().