摘要
针对煤炭输送系统除尘清洁性能评估缺乏统一、可靠量化指标的问题，提出一种基于多维度指标体系的煤流输送除尘清洁性能综合评估模型。从除尘效率、清洁效果、运行稳定性、经济效益、环保指标五个维度构建评估指标体系，含15项二级指标；采用层次分析法（AHP）与熵权法组合赋权确定各指标组合权重，建立多级模糊综合评价模型。以陕西某选煤厂带式输送机除尘清洁系统为实例，对4种工况下的系统性能进行评估。结果表明：改造后系统综合评估得分从58.3分提升至82.4分，评估等级从“一般”升级为“良”；除尘效率维度权重最大（31.8%），是影响系统性能的核心指标；模型敏感性分析显示，煤尘浮浓度下降率和呼吸性粉尘去除率是敏感性最强的指标。该模型为选煤厂除尘清洁系统的设计优化与运行管理提供了量化评估工具。
关键词： 煤流输送；除尘清洁；性能评估；多维度指标体系；组合赋权；模糊综合评价
Abstract
Addressing the lack of unified and reliable quantitative indicators for evaluating the dust removal and cleaning performance of coal conveying systems, this paper proposes a comprehensive evaluation model for dust removal and cleaning performance of coal flow conveying systems based on a multi-dimensional indicator system. An evaluation indicator system is constructed from five dimensions: dust removal efficiency, cleaning effect, operational stability, economic benefits, and environmental protection indicators, containing 15 secondary indicators. The weights of each indicator combination are determined using a combination of the Analytic Hierarchy Process (AHP) and the entropy weight method, establishing a multi-level fuzzy comprehensive evaluation model. Taking the dust removal and cleaning system of a belt conveyor in a coal preparation plant in Shaanxi Province as an example, the system performance under four operating conditions is evaluated. The results show that after the upgrade, the system's overall evaluation score improved from 58.3 to 82.4, and the evaluation level improved from “average” to “good”. Dust removal efficiency had the largest weight (31.8%), making it the core indicator affecting system performance. Sensitivity analysis of the model showed that the coal dust concentration reduction rate and respirable dust removal rate were the most sensitive indicators. This model provides a quantitative evaluation tool for the design optimization and operation management of dust removal and cleaning systems in coal preparation plants.
Key words： Coal flow transportation; Dust removal and cleaning; Performance evaluation; Multi-dimensional indicator system; Combined weighting; Fuzzy comprehensive evaluation
参考文献 References
[1] 王国强, 赵振东. 煤矿粉尘产生与传播规律研究[J]. 煤热学报, 2023, 28(4): 567-574.
[2] 李海涛, 周志强. 带式输送机煤尘产生机制及影响因素分析[J]. 矿业安全与环保, 2024, 52(1): 22-28.
[3] 国家安全监督管理总局. 煤矿安全规程[S]. 北京: 煤炭工业出版社, 2022.
[4] GBZ 2.1-2019, 工作场所有害因素职业接触限值[S]. 北京: 中国标准出版社, 2019.
[5] 周志强. 选煤厂粉尘污染治理技术研究[J]. 煤炭加工与综合利用, 2023, 41(6): 52-58.
[6] 崔成謙, 王志刚. 带式输送机除尘技术研究进展[J]. 矿业安全与环保, 2024, 52(3): 112-118.
[7] 李建明, 张伟. 无动力除尘系统在选煤厂的应用[J]. 煤炭工程, 2024, 49(4): 78-83.
[8] WANG H, LIU Q. Recent advances in dust suppression technology for coal transport[J]. Journal of Cleaner Production, 2023, 412: 137-148.
[9] 王志刚, 崔成謙. 带式输送机回程带料清洁技术研究[J]. 矿业安全与环保, 2024, 52(4): 56-62.
[10] 赵建国, 刘海波. 选煤厂除尘系统性能评价方法述评[J]. 洁净煤技术, 2024, 30(2): 1-8.
[11] 刘思峰, 张晓林. 综合评价方法及其在矿业工程中的应用[J]. 中国矿业大学学报, 2023, 33(5): 612-620.
[12] 周建华, 刘振华. 选煤厂除尘技术现状及发展趋势[J]. 洁净煤技术, 2024, 30(3): 15-22.
[13] 中国煤热工业协会. 煤炭加工与综合利用技术规范[S]. 北京: 中国标准出版社, 2023.
[14] 刘振华, 陈建军. 除尘系统技术经济效益评价指标体系构建[J]. 矿业安全与环保, 2023, 51(4): 77-82.
[15] SAATY T L. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation[M]. New York: McGraw-Hill, 1980.
[16] 张建林, 李志强. 基于AHP的矿业除尘系统多层次评价[J]. 中国矿业大学学报, 2024, 34(2): 145-153.
[17] 张晓林, 刘思峰. 基于熵权法的除尘系统评价指标权重确定[J]. 矿业安全与环保, 2023, 51(6): 88-93.
[18] WANG Y, ZHANG L. Multi-criteria evaluation of dust removal systems in coal preparation plants[J]. Energy and Environment, 2024, 35(3): 234-248.
[19] 陈建军, 李志强. 模糊综合评价法在除尘系统效果评价中的应用[J]. 矿业安全与环保, 2024, 52(2): 45-50.
[20] CHEN J, LIU H. Fuzzy comprehensive evaluation of industrial dust removal systems[J]. Journal of Environmental Management, 2023, 345: 118-130.
[21] 白来平, 苏亮, 刘新辉, 等. 选煤厂无动力导料槽降尘系统设计与应用实践[J]. 煤炭加工与综合利用, 2025(10): 45-51.
[22] 谢永鑫, 高博, 王进, 等. 煤流输送无动力除尘清洁系统开发与应用实践[J]. 煤炭加工与综合利用, 2026(1): 33-39.
[23] 李建明. 无动力除尘导料槽结构优化与除尘效率研究[D]. 西安: 西安科技大学, 2024.
[24] 刘海波, 赵建国. 栈桥自动冲洗系统设计与应用[J]. 煤炭加工与综合利用, 2024, 42(8): 67-73.
[25] 刘海波, 赵建国. 栈桥自动冲洗系统设计与应用[J]. 煤炭加工与综合利用, 2024, 42(8): 67-73.
[26] LI X, WANG Z. Performance evaluation of unpowered dust removal systems in coal mines[J]. Environmental Science and Pollution Research, 2024, 31(8): 234-248.
[27] 周振华, 张建林. 煤炭加工过程粉尘污染治理现状与对策[J]. 洁净煤技术, 2024, 30(4): 28-35.