基于三流动态协同的料场无组织排放治理工业应用研究

徐潜; 武建国; 孟超; 田澍; 周为; 王富江

doi:10.13205/j.hjgc.202609013

基于三流动态协同的料场无组织排放治理工业应用研究

doi: 10.13205/j.hjgc.202609013

徐潜^1,3,
武建国²,
孟超²,
田澍²,
周为¹,
王富江^1, ,

1. 柏美智慧科技(上海)股份有限公司, 上海 201800;
2. 冶金工业规划研究院, 北京 100013;
3. 清华大学环境学院, 北京 100084

详细信息

作者简介:
徐潜(1971—),男,博士,主要从事工业大气污染治理研究。leon.xu@bmetech.com

通讯作者:
王富江(1989—),男,博士,主要从事环境科学大气领域相关研究。jone_worf@126.com

计量
- 文章访问数: 4
- HTML全文浏览量: 0
- PDF下载量: 0
- 被引次数: 0
出版历程
- 收稿日期: 2025-08-15
- 网络出版日期: 2026-11-05

Industrial application research on control of fugitive emissions in material yards based on three-flow dynamic synergy

1. BME Intelligence (Shanghai) Co., Ltd., Shanghai 201800, China;
2. Metallurgical Industry Planning and Research Institute, Beijing 100013, China;
3. School of Environment, Tsinghua University, Beijing 100084, China

摘要

摘要: 针对封闭料场无组织粉尘治理中，雾炮设备运行粗放导致的污染治理效果有限、环保能耗高、物料含水率影响大等问题，结合生产作业特点、污染排放变化和能源消耗情况，提出“生产-污染-能源”三流协同理论框架，构建了机器视觉引导的动态喷雾抑尘系统。通过机器视觉实时捕捉料场内作业车辆特征，并通过整合料场监测信息，建立源头识别—精准喷雾—效果反馈的闭环联动控制系统，实现雾炮精准启停与定向控制，以及封闭料场内粉尘治理从被动响应到主动反馈的转变。工业现场的应用结果表明，料场车辆工作和雾炮运行的同步率提高了60%，水电消耗显著降低，粉尘捕集效率大幅提升，不仅提高了设备的运行效率，还有效控制了过量喷雾导致的物料含水率上升的问题，避免后续工序的额外能耗，可帮助企业实现年综合效益上千万元。该研究为工业环保领域提供了三流协同的智能化应用实践示范。
- 三流协同 /
- 同步率 /
- 机器视觉 /
- 精准控制 /
- 减污节能
Abstract: Aiming at problems such as poor pollution control efficiency， high environmental protection energy consumption， and significant impact on material moisture content caused by the extensive operation of sprayer equipment in fugitive dust control of enclosed material yards， this study proposes a three-flow synergy theoretical framework of "production-energy-pollution" by integrating the characteristics of production operations， changes in pollution emissions， and energy consumption. A machine vision-guided dynamic spray dust suppression system is constructed. Through machine vision， real-time capture of characteristics of operating vehicles in the material yard is realized， and by integrating monitoring information of the material yard， a closed-loop linkage control system consisting of source identification， precise spraying， and effect feedback is established. This system achieves precise control of fog sprayers， realizing the transformation from passive response to active feedback in dust control of enclosed material yards. Application results in industrial sites show that the synchronization rate between the operation of yard vehicles and the operation of sprayers has increased by 60%， with a significant reduction in water and electricity consumption and a substantial improvement in dust collection efficiency. These improvements not only enhance equipment operating efficiency but also effectively control the problem of increased material moisture content caused by excessive spraying， thereby avoiding additional energy consumption in subsequent processes and helping the enterprise achieve annual comprehensive benefits of tens of millions of yuan. This study provides a practical demonstration of the intelligent application of three-flow synergy in the field of industrial environmental protection.
- three-flow synergy /
- synchronization rate /
- machine vision /
- precise control /
- pollution reduction and energy saving

HTML全文

参考文献(27)

[1]	DUAN Z Y，LIU Y Z，WANG K，et al. Review of fugitive dust dispersion law from a large open-yard of stockpile［J］. Journal of Earth Environment，2017，8（4）:307-319. 段振亚，刘永阵，王凯，等. 大型露天堆料场的扬尘扩散规律研究进展［J］. 地球环境学报，2017，8（4）:307-319.
[2]	JIN H. Discussing the technologies and measures of the dust suppression in metallurgical raw material yard［C］// The 9th China Iron and Steel Annual Conference，Beijing，2013. 金晖. 冶金原料场粉尘抑制技术与措施探讨［C］// 第九届中国钢铁年会，北京，2013.
[3]	WANG X，YAN L，LEI Y，et al. Estimation of primary particulate emissions from iron and steel industry in China［J］. Acta Scientiae Circumstantiae，2016，36（8）:3033-3039.
[4]	BI X，FENG Y，WU J，et al. Source apportionment of PM in six cities of northern China［J］. Atmospheric Environment，2007，41（5）:903-912.
[5]	HO K F，LEE S C，CHOW J C，et al. Characterization of PM and PM_2.5 source profiles for fugitive dust in Hong Kong［J］. Atmospheric Environment，2003，37（8）:1023-7032.
[6]	NAN J，ZHE D，XU Y，et al. Characterization of PM₁₀ and PM_2.5 source profiles of fugitive dust in Zhengzhou，China［J］. Aerosol& Air Quality Research，2018，18（2）:314– 329.
[7]	SONG C F，PENG L，BAI H L，et al. Aerodynamic numerical simulation of turbulent fields behind porous fences in open storage piles［J］. Research of Environmental Sciences，2014，27（7）:775-781．宋翀芳，彭林，白慧玲，等. 露天堆场防风抑尘网的动力学数值模拟［J］. 环境科学研究，2014，27（7）:775-781.
[8]	ZHANG Y，LI G. Environmental enclosed type stockyard and its application in Baosteel raw material stockyard reconstruction［J］. Sintering and Pelletizing，2014，39（4）:47-49. 张毅，李刚. 环保型封闭式料场及其在宝钢原料场改造中的应用［J］. 烧结球团，2014，39（4）:47-49.
[9]	ZHU M Y，ZHANG Y. Fugitive emission control of dust from raw material yards of steel enterprises［J］. Resource conservation and environmental protection，2017（5）:74-75. 朱明奕，张余. 钢铁企业原料场粉尘无组织排放控制［J］. 资源节约与环保，2017（5）:74-75.
[10]	LIN Z，WANG F，JI T，et al. Characteristics and the potential influence of fugitive PM₁₀ emissions from enclosed storage yards in iron and steel plant［J］. Atmosphere，2020，11（8）:833.
[11]	ZHAO F H，LI S C，SUN H L，et al. Performance evaluation of dust pollution control measures in the yard［J］. Journal of Southwest University（Natural Science Edition），2020，42（7）:154-161. 赵福梅，李绍才，孙海龙，等. 堆场扬尘污染控制措施的绩效评估研究［J］. 西南大学学报（自然科学版），2020，42（7）:154-161.
[12]	HUANG H. Application of high energy micro mist dust suppression technology in dust control in stockyard［J］. S P& BMH Related Engineering，2023（1）:13-16. 黄辉. 高能微雾抑尘技术在料场粉尘治理中的应用［J］. 硫磷设计与粉体工程，2023（1）:13-16.
[13]	ZHANG B. Technical innovation of mini precision spray dust suppression system for mobile equipment in mines［J］. Cement Engineering，2022（6）:32-33. 张保. 矿山移动设备微型精准喷雾降尘系统技改［J］. 水泥工程，2022（6）:32-33.
[14]	ZHAO J P，WU K Y. Analysis on effect of different air supply modes on spray dust suppression in large space material yard［J］. Industrial Safety and Environmental Protection，2025，51（6）:70-76. 赵江平，吴开艳. 不同送风方式对大空间料场喷雾降尘效果影响分析［J］. 工业安全与环保，2025，51（6）:70-76.
[15]	CHEN N G，ZHANG W H，LI Z G，et al. Influence of coke moisture on 1280 m³ blast furnace and improvement measures［J］. Modern Metallurgy，2020，48（4）:29-31. 陈那港，张卫华，李志刚，等. 焦炭水分对1280 m³高炉的影响及改进措施［J］. 现代冶金，2020，48（4）:29-31.
[16]	Yu C G. Study on the influence of granulation characteristics of mixture on sinter quality and fuel consumption［D］. Xi'an:Xi'an University of Architecture and Technology，2024. 于成刚. 混合料制粒特性对烧结矿质量及燃耗影响研究［D］. 西安:西安建筑科技大学，2024.
[17]	LI N，LIU X H，ZHAO X D，et al. Warehouse location management strategy for bulk cargo yards［J］. China storage& transport magazine，2023（8）:55-56. 李娜，刘晓虹，赵旭东，等. 散货料场的库位管理策略［J］. 中国储运，2023（8）:55-56.
[18]	XING S. Study on optimization of cargo capacity about motor transportation in M Steel Company［D］. Nanjing:Southeast University，2016. 邢烁. M钢铁公司散货汽车运输能力优化研究［D］. 南京:东南大学，2016.
[19]	LI S H. Research on clustering analysis of port operation vehicle trajectory and abnormality detection method［D］. Wuhan University of Technology，2022. 李帅辉. 港口作业车辆轨迹聚类分析及异常检测方法研究［D］. 武汉:武汉理工大学，2022.
[20]	LIANG A M. Intelligent stockyard vehicle integrated management system based on 3S technology［D］. Shenyang:Northeastern University，2021. 梁爱曼. 基于3S技术的智慧料场车辆综合管理系统［D］. 沈阳:东北大学，2021.
[21]	ZHANG G Q. The research of key technologies on object detection based on vision navigation for intelligent vehicle［D］. Lanzhou:Lanzhou University of Technology，2012. 张国权. 基于视觉导航的智能车辆目标检测关键技术研究［D］. 兰州:兰州理工大学，2012.
[22]	WANG X S. Vehicle detection and classification in video-based real-time traffic monitoring system［J］. Microprocessors，2003（1）:17-19. 王相森. 基于视频的实时车辆识别和分类的改进方法［J］. 微处理机，2003（1）:17-19.
[23]	HU P W. Research of real-time detection of traffic flow system based on video［D］. Wuhan:Wuhan University of Technology，2008. 胡佩雯. 基于视频的实时交通流检测系统的研究［D］. 武汉:武汉理工大学，2008.
[24]	HOU S. Research and development of coal market vehicle monitoring and identification system［D］. Shenyang:Northeastern University，2009. 侯帅. 煤场车辆监控与识别系统的研究与开发［D］. 沈阳:东北大学，2009.
[25]	WANG P F，WANG J Y，HAN H. Study on the atomization characteristics of an air-assisted spray dust suppression device［J］. Journal of Safety and Environment，2024，24（12）:4714-4710王鹏飞，王家玉，韩涵. 风送式喷雾抑尘装置雾化特性研究［J］. 安全与环境学报，2024，24（12）:4714-4710.
[26]	HAN H. Study on atomization performance and optimization of air-assisted spray dust suppression device［D］. Xiangtan:Hunan University of Science and Technology，2021. 韩涵. 风送式喷雾抑尘装置雾化性能及优化研究［D］. 湘潭:湖南科技大学，2021.
[27]	CHEN T Z，ZU C Q. Application of single fluid high pressure micron-sized spray dust suppressing technology in comprehensive raw material stockyard［J］. Sintering and Pelletizing，2014，39（3）:55-59. 陈天柱，祖传琦. 单流体高压微米级喷雾抑尘技术在综合原料场的应用［J］. 烧结球团，2014，39（3）:55-59.