Journal of Guangdong University of Technology ›› 2023, Vol. 40 ›› Issue (05): 8-14.doi: 10.12052/gdutxb.220166

• Extenics and Innovation Methods • Previous Articles    

Extension Intelligent Evaluation Method and Its System of Dust Concentration in Coal Mines

Rui Guo-xiang1, Feng Jian-sheng1, Chen Xin2,3, Yang Chun-yan2,3   

  1. 1. Chahasu Coal Mine, SPIC Nei Mongol Energy Co., Ltd., Ordos 017209, China;
    2. Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou 510006, China;
    3. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2022-11-07 Published:2023-09-26

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Abstract: There are many factors involved in the evaluation of coal mine dust concentration, and the output evaluation results lack comprehensiveness when the single type of dust concentration is taken as the evaluation standard. In this research, a comprehensive evaluation method of coal mine dust concentration is established by using the superiority evaluation method in the extension innovation method, and the corresponding extension intelligent evaluation software is developed on the C++platform. First, many kinds of dust in the environment is analyzed, the data queried to determine the measurement indicators and the harmfulness of various kinds of dust, and the weight coefficient set, then an appropriate correlation function selected to calculate the degree of dust concentration in the environment meeting the requirements. Finally, a relatively comprehensive conclusion is obtained through the calculation and analysis of the comprehensive correlation function, by which the hazard of the coal mine dust concentration in a certain environment is comprehensively evaluated. The calculation and analysis process adopts the self-designed extension intelligent evaluation software of the coal mine dust concentration, which can intelligently output coping strategies according to the calculation results.

Key words: extension innovation method, correlation function, method of merit evaluation, coal mine, dust concentration, extension intelligent evaluation

CLC Number: 

  • TH122
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