scholarly journals Application of Environment-perception Intelligent Control Technology in the Inspection Robot of Coal Conveyance Corridor in Thermal Power Plant

2021 ◽  
Vol 772 (1) ◽  
pp. 012056
Author(s):  
Xiaoping Jia ◽  
Wenjie Yuan ◽  
Haichao Li ◽  
Shanqiu Jiang ◽  
Yude Zhang
2013 ◽  
Vol 788 ◽  
pp. 466-470 ◽  
Author(s):  
Hui Di Hao ◽  
Tian Zhai ◽  
Yong Fang Zhang ◽  
Jian Yong Lei ◽  
Tian Qi Cheng ◽  
...  

The peak of power consumption will be brought by the rapid development of the industry. Thermal power is still the main component of electric energy at present. More and more attention has been paid on the atmospheric pollution caused by the thermal power plant in our country. The sulfur dioxide (SO2), one of the thermal power plant flue gases, is dangerous to the environment and human. Effective SO2 control technology can not only reduce the environmental pollution but also the sulfur can be recovered in order to conserve resources.


2012 ◽  
Vol 58 (4) ◽  
pp. 351-356
Author(s):  
Mincho B. Hadjiski ◽  
Lyubka A. Doukovska ◽  
Stefan L. Kojnov

Abstract Present paper considers nonlinear trend analysis for diagnostics and predictive maintenance. The subject is a device from Maritsa East 2 thermal power plant a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work avoiding the losses caused by planned maintenance. This paper addresses the needs of the Maritsa East 2 Complex aiming to improve the ecological parameters of the electro energy production process.


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