scholarly journals A STUDY OF DYNAMICS AND PERFORMANCE INDICATORS OF COAL MINES AND THERMAL POWER PLANTS IN CANADA BASED ON REMOTE SENSING DATA

Ugol ◽  
2021 ◽  
pp. 34-37
Author(s):  
I.V. Zenkov ◽  
◽  
Trinh Le Hung ◽  
A.V. Agalakova ◽  
V.A. Fedorov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Performance Indicators ◽  
Power Plants ◽  
Thermal Power ◽  
Coal Mines ◽  
Remote Sensing Data ◽  
Thermal Power Plants ◽  
Sensing Data ◽  
And Performance

Features of antibodies against benzo[a]pyrene formation in workers of coal mines and thermal power plants

2019 ◽  
pp. 9-14
Author(s):  
Ye. G. Polenok ◽  
S. A. Mun ◽  
L. A. Gordeeva ◽  
A. A. Glushkov ◽  
M. V. Kostyanko ◽  
...  
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Reference Group ◽  
Coal Dust ◽  
Thermal Power ◽  
Coal Mines ◽  
Serum Levels ◽  
Thermal Power Plants ◽  
Immune Reactions

Introduction.Coal dust and coal fi ring products contain large amounts of carcinogenic chemicals (specifically benz[a]pyrene) that are different in influence on workers of coal mines and thermal power plants. Specific immune reactions to benz[a]pyrene therefore in these categories of workers can have specific features.Objective.To reveal features of antibodies specifi c to benz[a]pyrene formation in workers of coal mines and thermal power plants.Materials and methods.The study covered A and G class antibodies against benz[a]pyrene (IgA-Bp and IgG-Bp) in serum of 705 males: 213 donors of Kemerovo blood transfusion center (group 1, reference); 293 miners(group 2) and 199 thermal power plant workers (group 3). Benz[a]pyrene conjugate with bovine serum albumin as an adsorbed antigen was subjected to immune-enzyme assay.Results.IgA-Bp levels in the miners (Me = 2.7) did not differ from those in the reference group (Me = 2.9), but in the thermal power plant workers (Me = 3.7) were reliably higher than those in healthy men and in the miners (p<0.0001). Levels of IgG-Bp in the miners (Me = 5.0) appeared to be lower than those in the reference group (Me = 6.4; (p = 0.05). IgG-Bb level in the thermal power plantworkers (Me = 7.4) exceeded the parameters in the healthy donors and the miners (p<0.0001). Non-industrial factors (age and smoking) appeared tohave no influence on specific immune reactions against benz[a]pyrene in the miners and the thermal power plant workers.Conclusions.Specific immune reactions against benz[a]pyrene in the miners and the thermal power plant workers are characterized by peculiarities: the miners demonstrate lower levels of class A serum antibodies to benz[a]pyrene; the thermal power plant workers present increased serum levels of class G antibodies to benz[a]pyrene. These peculiarities result from only the occupational features, but do not depend on such factors as age, smoking and length of service at hazardous production. It is expedient to study specific immune reactions to benz[a]pyrene in workers of coal mines and thermal power plants, to evaluate individual oncologic risk and if malignancies occur.

scholarly journals PCAN—Part-Based Context Attention Network for Thermal Power Plant Detection in Remote Sensing Imagery

2021 ◽  
Vol 13 (7) ◽  
pp. 1243
Author(s):  
Wenxin Yin ◽  
Wenhui Diao ◽  
Peijin Wang ◽  
Xin Gao ◽  
Ya Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Power Plants ◽  
State Of The Art ◽  
Thermal Power ◽  
Image Interpretation ◽  
Remote Sensing Image ◽  
Thermal Power Plants ◽  
Average Precision ◽  
Deep Convolutional Neural Networks ◽  
Multi Scale

The detection of Thermal Power Plants (TPPs) is a meaningful task for remote sensing image interpretation. It is a challenging task, because as facility objects TPPs are composed of various distinctive and irregular components. In this paper, we propose a novel end-to-end detection framework for TPPs based on deep convolutional neural networks. Specifically, based on the RetinaNet one-stage detector, a context attention multi-scale feature extraction network is proposed to fuse global spatial attention to strengthen the ability in representing irregular objects. In addition, we design a part-based attention module to adapt to TPPs containing distinctive components. Experiments show that the proposed method outperforms the state-of-the-art methods and can achieve 68.15% mean average precision.

Application of Antiwear Pipelines in Thermal Power Plants

2013 ◽  
Vol 717 ◽  
pp. 325-327
Author(s):  
Chun Hui Pan ◽  
Li Jing Diao ◽  
Huan Yun Wang ◽  
Miao Miao Fu
Keyword(s):  
Environmental Pollution ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Action Mechanism ◽  
Technological Transformation ◽  
Coal Powder ◽  
Metal Materials ◽  
And Performance ◽  
Chronic Problem

Coal powder pipelines are vulnerable to abrasion, resulting in a great waste of metal materials, manpower and funds as well as serious environmental pollution, Which is a common and chronic problem in thermal power plants. After analysis of the action mechanism and performance of the anti-wear materials, this paper provides a reference for the technological transformation of thermal power plants.

scholarly journals Towards Improving Technical Performance of a 747 MW Thermal Power Plant

2021 ◽  
Vol 19 (1) ◽  
pp. 104-111
Author(s):  
Muhammad A. Raza ◽  
Krishan L. Khatri ◽  
Sunila Akbar ◽  
Muhammad I. U. Haque
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Safety Engineering ◽  
Technical Performance ◽  
Factors Influencing ◽  
Technical Issues ◽  
And Performance

In this paper, performance evaluation and technical audit of a 747 MW thermal power plant consisting of three generating units is conducted. The factors influencing the performance of the plant have been identified and improvements in processes and mechanical, electrical, instrumentation, and safety engineering are suggested. These improvements would result in better profitability, productivity, and performance. The paper further discusses technical issues and challenges and identifies key areas where improvements are possible. Future recommendation for the operation of the plant that would result in better throughput are also presented. The methodology of performance analysis presented in the paper will help improving operational efficiency of thermal power plants in developing countries.

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