水泥窑协同处置生活垃圾的燃烧特性分析优化

doi:10.16182/j.issn1004731x.joss.19-0235

系统仿真学报 ›› 2020, Vol. 32 ›› Issue (1): 35-43.doi: 10.16182/j.issn1004731x.joss.19-0235

水泥窑协同处置生活垃圾的燃烧特性分析优化

吴敬兵, 唐汉卿, 胥军

武汉理工大学机电工程学院,湖北武汉 430070

收稿日期:2019-06-03 修回日期:2019-07-07 发布日期:2020-01-17
作者简介:吴敬兵(1971-),男,湖北黄冈,博士,副教授,研究方向为CAD/CAM、计算机仿真、建材工业;唐汉卿(1994-),男,江苏徐州,硕士生,研究方向为水泥厂大数据应用;胥军(1977-),男,湖北襄阳,博士后,副教授,研究方向为建材企业信息化。

Analysis and Optimization of Combustion Characteristics of Cement Kiln Cooperatively Disposing Domestic Refuse

Wu Jingbing, Tang Hanqing, Xu Jun

School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China

Received:2019-06-03 Revised:2019-07-07 Published:2020-01-17

摘要/Abstract

摘要： 针对传统方法难以分析掺烧生活垃圾后的水泥窑复杂燃烧特性的问题,引入数据挖掘技术,以国内某水泥厂为对象,采集相关参数数据,使用稳定性选择算法分析各参数对煤耗与NO_x排量的影响系数,通过随机森林算法建立煤耗与NO_x排量的数学模型,结合K-means聚类算法得出关键优化参数及其最优值。结果表明,该方法能够建立精确的煤耗与NO_x排量模型,挖掘出节能减排的关键优化参数及其最优目标值。通过改善关键优化参数至最优值,能够大大降低煤耗与NO_x排量,可指导水泥厂优化窑内燃烧特性。

关键词: 水泥窑, 生活垃圾, 燃烧性能, 数据挖掘, 稳定性选择, 随机森林, k-means

Abstract: Because the traditional methods can hardly analyze the complex combustion characteristics of cement kiln mixed with domestic refuse, a data mining technology is introduced. A domestic cement plant is selected as the object, and its operating data and relevant parameters are collected. The influence coefficient of each parameter on coal consumption and NO_x emission is analyzed by using Stability Selection algorithm. The mathematical model of coal consumption and NO_x emission is established with Random Forest algorithm, and the key optimization parameters and their optimal values are obtained by K-means clustering algorithm. The result shows that this method can establish accurate models of coal consumption and NO_x emission, and can find out the key optimization parameters and their optimal values for energy saving and emission reduction. By adjusting the key optimization parameters, coal consumption and NO_x emission can be greatly reduced. This method can guide cement plant to optimize kiln combustion performance.

Key words: cement kiln, domestic refuse, combustion performance, data mining, stability selection, random forest, k-means

中图分类号:

TQ172.6+2

吴敬兵, 唐汉卿, 胥军. 水泥窑协同处置生活垃圾的燃烧特性分析优化[J]. 系统仿真学报, 2020, 32(1): 35-43.

Wu Jingbing, Tang Hanqing, Xu Jun. Analysis and Optimization of Combustion Characteristics of Cement Kiln Cooperatively Disposing Domestic Refuse[J]. Journal of System Simulation, 2020, 32(1): 35-43.

参考文献

[1] 王俊杰, 张亮, 房晶瑞, 等. 水泥分解炉内生活垃圾与煤粉燃烧特性分析和技改建议[J]. 环境工程学报, 2018, 12(12): 3483-3489.
Wang Junjie, Zhang Liang, Fang Jingrui, et al.Analysis of combustion characteristics of RDF and coal in the cement calciner and suggestions for technical improvement[J]. Chinese Journal of Environmental Engineering, 2018, 12(12): 3483-3489.
[2] 李晓辉, 杨宏斌, 黄华存, 等. 水泥窑协同处置村镇生活垃圾[J]. 环境工程学报, 2016, 10(6): 3255-3259.
Li Xiaohui, Yang Hongbin, Huang Huacun, et al.Co-processing township household garbage in cement kiln[J]. Chinese Journal of Environmental Engineering, 2016, 10(6): 3255-3259.
[3] Genon G, Brizio E.Perspectives and limits for cement kilns as a destination for RDF[J]. Waste Management (S0956-053X), 2008, 28(11): 2375-2385.
[4] Mustafa K.Environmental and economic advantages associated with the use of RDF in cement kilns[J]. Resources, Conservation & Recycling (S0921-3449), 2012, 68: 21-28.
[5] Reza B, Soltani A, Ruparathna R, et al.Environmental and economic aspects of production and utilization of RDF as alternative fuel in cement plants: A case study of Metro Vancouver Waste Management[J]. Resources, Conservation & Recycling(S0921-3449), 2013, 81: 105-114.
[6] 周润物, 李智勇, 陈少淼, 等. 面向大数据处理的并行优化抽样聚类K-means算法[J]. 计算机应用, 2016, 36(2): 311-315, 329.
Zhou Runwu, Li Zhiyong, Chen Shaomiao, et al.Parallel optimization sampling clustering K-means algorithm for big data processing[J]. Journal of Computer Application, 2016, 36(2): 311-315, 329.
[7] Philipp G, Lee S, Xing E P.Stability Selection for Structured Variable Selection[J/OL]. [2019-05-05].https://arxiv.org/abs/1712.04688v1.
[8] Yin Q Y, Li J L, Zhang C X.Ensembling Variable Selectors by Stability Selection for the Cox Model[J]. Computational Intelligence and Neuroscience (S1687-5265), 2017: 1-10.
[9] 赵腾, 王林童, 张焰, 等. 采用互信息与随机森林算法的用户用电关联因素辨识及用电量预测方法[J]. 中国电机工程学报, 2016, 36(3): 604-614.
Zhao Teng, Wang Lintong, Zhang Yan, et al.Relation Factor Identification of Electricity Consumption Behavior of Users and Electricity Demand Forecasting Based on Mutual Information and Random Forests[J]. Proceedings of the CSEE, 2016, 36(3): 604-614.
[10] Naghibi S A, Ahmadi K, Daneshi A.Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping[J]. Water Resources Management (S0920-4741), 2017, 31(9): 2761-2775.
[11] Buehlmann P, Meinshausen N.Stability Selection[J]. Journal of the Royal Statistical Society(S0964-1998), 2012, 72(4): 417-473.

[1]	严爱军, 夏恒, 刘溪芷. 城市生活垃圾焚烧过程监控半实物仿真平台研发[J]. 系统仿真学报, 2021, 33(6): 1427-1435.
[2]	刘兴, 王艳, 纪志成. 基于随机森林的风电功率短期预测方法[J]. 系统仿真学报, 2021, 33(11): 2606-2614.
[3]	陈涛, 王艳, 纪志成. 基于经验小波变换的光伏功率组合预测模型[J]. 系统仿真学报, 2021, 33(11): 2627-2635.
[4]	韩驰, 熊伟. 航天侦察装备体系指标关联信息挖掘研究[J]. 系统仿真学报, 2021, 33(10): 2372-2380.
[5]	王闯, 张勇, 李学贵, 董宏丽. 改进粒子群优化算法及其在聚类分析中应用[J]. 系统仿真学报, 2020, 32(8): 1577-1587.
[6]	王静, 刘洪岩, 刘芳芳, 王青青. 基于随机森林和卷积特征学习的人机交互语音情感识别[J]. 系统仿真学报, 2020, 32(12): 2388-2400.
[7]	杨文峰, 王艳, 纪志成. 基于RF-GA-BP神经网络的N-乙酰氨基葡萄糖含量预测[J]. 系统仿真学报, 2020, 32(10): 2034-2040.
[8]	王杰, 王艳. 基于量子遗传聚类算法的质量控制方法[J]. 系统仿真学报, 2019, 31(12): 2591-2599.
[9]	林雨谷, 王艳. 离散车间能效数据挖掘及调度优化[J]. 系统仿真学报, 2019, 31(12): 2702-2711.
[10]	李坤伟, 游雄, 张欣, 汤奋. 面向越野通行分析的土壤数据分类方法研究[J]. 系统仿真学报, 2019, 31(1): 158-165.
[11]	唐超, 张苗辉, 李伟, 曹峰, 王晓峰, 童晓红. 融合局部与全局特征的人体动作识别[J]. 系统仿真学报, 2018, 30(7): 2497-2506.
[12]	叶继华, 时淑霞, 李汉曦, 左家莉, 王仕民. 一种结合深度学习和随机森林的地平线检测方法[J]. 系统仿真学报, 2018, 30(7): 2507-2514.
[13]	吕盛坪, 乐强生, 刘涛. 基于数据挖掘的印制电路样板投料优化[J]. 系统仿真学报, 2018, 30(7): 2656-2665.
[14]	程艳云, 边荟凇, 边长生. 基于图数据模型的聚类方法及可信度检测[J]. 系统仿真学报, 2018, 30(6): 2102-2109.
[15]	陈冰, 张亨, 程泽凯, 董鹏, 林超. Robocup2D仿真对抗中进攻行为的挖掘与验证[J]. 系统仿真学报, 2018, 30(12): 4718-4726.

水泥窑协同处置生活垃圾的燃烧特性分析优化

Analysis and Optimization of Combustion Characteristics of Cement Kiln Cooperatively Disposing Domestic Refuse

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价