煤矿粉尘质量浓度的可拓智能评价方法与系统研究

doi:10.12052/gdutxb.220166

摘要/Abstract

摘要： 煤矿粉尘质量浓度的评价涉及到的因素较多，将单一种类的粉尘质量浓度作为评价标准，输出的评价结果缺乏全面性。本文利用可拓创新方法中的优度评价方法，建立了一种煤矿粉尘质量浓度的综合评价方法，并在C++平台上开发了相应的可拓智能评价软件。首先对环境中诸多粉尘种类进行分析，查询资料确定衡量指标和各类粉尘危害性并设定权系数，之后选择合适的关联函数计算该环境下粉尘质量浓度符合要求的程度。最终通过综合关联函数计算分析得出具有较强综合性的结论，借此对某一环境中煤矿粉尘质量浓度的危害性进行较全面的评价，计算和分析过程均采用自主设计的煤矿粉尘质量浓度可拓智能评价软件，软件可根据计算结果智能输出应对策略。

关键词: 可拓创新方法, 关联函数, 优度评价方法, 煤矿, 粉尘质量浓度, 可拓智能评价

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

中图分类号:

TH122

芮国相, 冯建生, 陈鑫, 杨春燕. 煤矿粉尘质量浓度的可拓智能评价方法与系统研究[J]. 广东工业大学学报, 2023, 40(05): 8-14.

Rui Guo-xiang, Feng Jian-sheng, Chen Xin, Yang Chun-yan. Extension Intelligent Evaluation Method and Its System of Dust Concentration in Coal Mines[J]. Journal of Guangdong University of Technology, 2023, 40(05): 8-14.

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