多个采煤工作面风量按需动态联动调控系统

杨旭; 张浪; 马强; 刘彦青; 张宏杰; 赵凯凯; 李伟; 段思恭; 耿锋

doi:10.13272/j.issn.1671-251x.2022010022

多个采煤工作面风量按需动态联动调控系统

doi: 10.13272/j.issn.1671-251x.2022010022

杨旭^1,,
张浪^{2, 3},
马强¹,
刘彦青^{2, 3, ,},
张宏杰¹,
赵凯凯¹,
李伟^{2, 3},
段思恭^{2, 3},
耿锋^{2, 3}

1.
山西天地王坡煤业有限公司, 山西晋城　048000
2.
煤炭科学技术研究院有限公司, 北京　100013
3.
煤炭资源高效开采与洁净利用国家重点实验室, 北京　100013

基金项目: 煤科院科技发展基金项目（2020CX-II-2，2021CX-I-08）。

详细信息

作者简介:
杨旭（1985—），男，黑龙江齐齐哈尔人，工程师，硕士，主要从事煤矿安全管理工作，E-mail：18811080699@139.com

通讯作者:
刘彦青（1989—），男，山西忻州人，助理研究员，硕士，主要从事矿井智能通风、瓦斯治理方面研究，E-mail：lyqing0906@163.com

中图分类号: TD724
计量
- 文章访问数: 171
- HTML全文浏览量: 78
- PDF下载量: 17
- 被引次数: 0
出版历程
- 收稿日期: 2022-01-13
- 修回日期: 2022-06-01
- 网络出版日期: 2022-03-08

On demand dynamic linkage control system for air volume of multiple coal working faces

YANG Xu^1
,,
ZHANG Lang^{2, 3},
MA Qiang¹,
LIU Yanqing^{2, 3
, ,},
ZHANG Hongjie¹,
ZHAO Kaikai¹,
LI Wei^{2, 3},
DUAN Sigong^{2, 3},
GENG Feng^{2, 3}

1.
Shanxi Tiandi Wangpo Coal Industry Co., Ltd., Jincheng 048000, China
2.
CCTEG China Coal Research Institute, Beijing 100013, China
3.
State Key Laboratory of Coal Mining and Clean Utilization, Beijing 100013, China

摘要

摘要: 煤矿井下同时开采多个采煤工作面，任一巷道分支风量调控变化会引起其余巷道分支风量变化，矿井内任一采煤工作面风量调控会影响该矿井其他采煤工作面风量发生改变，因此，有必要对多个采煤工作面风量进行智能调控。然而目前对采煤工作面风量智能调控的研究主要基于矿井风量自动调控算法或矿井风量调节设备，缺乏对多个采煤工作面风量按需动态联动调控系统方面的研究。针对上述问题，提出了一种多个采煤工作面风量按需动态联动调控系统设计方案。以部署在山西天地王坡煤业3308采煤工作面回风联络巷内的百叶式远程自动调节风窗为研究对象，采用计算流体动力学（CFD）数值模拟方法模拟调节风窗流场分布规律，利用Origin软件对调节风窗过风面积与风阻之间的非线性关系进行拟合，得出两者之间的函数关系，现场实测得到的调节风窗风阻与拟合计算得到的调节风窗风阻之间相对误差＜6%。根据调节风窗过风面积与风阻之间的关系函数、多个采煤工作面风阻调节量联合解算方法开发了上位机解算软件，基于上位机解算软件、井下隔爆兼本安型控制分站、百叶式远程自动调节风窗构建了多个采煤工作面风量按需动态联动调控系统。对3308采煤工作面和3203采煤工作面风量进行按需动态联动调控现场应用，表明工作面风量调控目标值与调控之后实际风量之间相对误差＜7%，说明多个采煤工作面风量按需动态联动调控系统具有一定的使用效果。
- 矿井智能通风 /
- 采煤工作面 /
- 风量动态调控 /
- 百叶式风窗 /
- 风窗过风面积 /
- 风窗风阻
Abstract: When multiple coal working faces are mined at the same time in the coal mine, the change of branch air volume of any roadway will cause the change of branch air volume of other roadway. The air volume control of any coal working face in the mine will affect the air volume change of other coal working faces in the mine. Therefore, it is necessary to intelligently control the air volume of multiple coal working faces. However, the current research on intelligent control of air volume in coal working face is mainly based on automatic control algorithm of mine air volume or mine air volume control equipment. It lacks the research on the on demand dynamic linkage control system for air volume of multiple coal working faces. In order to solve the above problems, this paper puts forward a design scheme of on demand dynamic linkage control system for air volume of multiple coal working faces. Taking the louvered remote automatic regulating air window deployed in the return air crossheading of 3308 working face in Shanxi Tiandi Wangpo Coal Industry as the research object, the computational fluid dynamics (CFD) method is used to simulate the flow field distribution of the regulating air window. The Origin software is applied to fit the non-linear relationship between the wind area of the regulating air window and the wind resistance, and obtain the functional relationship between them. The relative error between the wind resistance of the regulating air window measured on site and that calculated by fitting is less than 6%. Based on the functional relationship between the wind area and the air resistance of the regulating air window and a joint calculation method of wind resistance regulation of multiple coal working faces, the upper computer calculation software is developed. And based on the upper computer calculation software, the underground explosion-proof and intrinsically safe control substation and the louvered remote automatic regulating air window, the on demand dynamic linkage control system for air volume of multiple coal working faces is constructed. The on demand dynamic linkage control of air volume on demand is carried out on 3308 and 3203 coal working faces in Wangpo Coal Industry. The field application shows that the relative error between the target air volume and the actual air volume after control is less than 7%. This result indicates that the on-demand dynamic linkage control system for air volume of multiple coal working faces has certain use effect.
- mine intelligent ventilation /
- coal working face /
- dynamic control of air volume /
- louvered air window /
- wind area of air window /
- air window wind resistance

HTML全文

图 1 百叶式远程自动调节风窗结构

Figure 1. Louvered remote automatic regulating air window structure

下载: 全尺寸图片幻灯片

图 2 百叶式远程自动调节风窗流场分布

Figure 2. Louvered remote automatic regulating air window flow field distribution

下载: 全尺寸图片幻灯片

图 3 百叶式远程自动调节风窗风阻随风窗过风面积变化的拟合曲线

Figure 3. Fitting curve of wind resistance with wind area of louvered remore automatic regulating air window

下载: 全尺寸图片幻灯片

图 4 多个采煤工作面风量动态联动调控实现流程

Figure 4. Realization process of dynamic linkage control for air volume of multiple coal working faces

下载: 全尺寸图片幻灯片

图 5 百叶式远程自动调节风窗实物

Figure 5. Physical object of louvered remote automatic regulating air window

下载: 全尺寸图片幻灯片

表 1 百叶式远程自动调节风窗数值模拟模型关键参数

Table 1. Louvered remote automatic regulating air window numerical simulation model key parameters

参数	值/m
风窗间距	20
风窗框架高度	3.0
风窗框架宽度	2.5
风窗框架厚度	0.5

下载: 导出CSV

表 2 百叶式远程自动调节风窗实测风阻与计算风阻对比

Table 2. Comparison of measured and calculated wind resistance in louvered remote automatic regulating air window

测点编号	过风面积/m²	实测风阻/ （N·s²·m⁻⁸）	计算风阻/ （N·s²·m⁻⁸）	相对误差/%
1	0.91	1.321 5	1.262 8	4.44
2	1.15	0.838 2	0.887 2	5.85
3	1.65	0.531 2	0.514 8	3.09
4	2.12	0.363 2	0.352 7	2.88
5	2.67	0.235 1	0.249 1	5.96

下载: 导出CSV

表 3 3308采煤工作面和3203采煤工作面风量按需动态联动调控系统现场试验结果

Table 3. Field test results of air volume on demand dynamic linkage control system in No.3308 working face and No.3203 working face

试验次数	风量调节目标值/（m³·min⁻¹）		风窗风阻实际值/（N·s²·m⁻⁸）		调节后实际风量/（m³·min⁻¹）		风量调节相对误差/%
试验次数	3308采煤工作面	3203采煤工作面	3308采煤工作面	3203采煤工作面	3308采煤工作面	3203采煤工作面	3308采煤工作面	3203采煤工作面
1	1 450	2 100	1.23	0.67	1 492	2 015	2.82	4.22
2	1 600	1 900	0.84	0.74	1 657	1 962	3.44	3.16
3	1 750	1 700	0.72	0.87	1 863	1 782	6.07	4.60
4	1 900	1 600	0.61	1.04	2 020	1 536	5.94	4.17
5	2 050	1 450	0.54	1.36	2 163	1 532	5.22	5.35

下载: 导出CSV

参考文献(14)

[1]	杨帅,撒占友,王相君,等. 基于环境监测的矿井通风三维仿真辅助决策系统设计[J]. 中国安全生产科学技术,2020,16(1):80-84. YANG Shuai,SA Zhanyou,WANG Xiangjun,et al. Design of 3D simulation assistant decision-making system for mine ventilation based on environment monitoring[J]. Journal of Safety Science and Technology,2020,16(1):80-84.
[2]	李雨成,李俊桥,周磊,等. 矿井通风系统存储结构建立及节点自动编号实现[J]. 煤炭科学技术,2018,46(3):90-95. LI Yucheng,LI Junqiao,ZHOU Lei,et al. Storage structure establishment and auto numbering realization of node in mine ventilation system[J]. Coal Science and Technology,2018,46(3):90-95.
[3]	倪景峰,陶红福,杨富强,等. 矿井通风网络压能图节点分层算法研究[J]. 中国安全生产科学技术,2020,16(2):80-84. NI Jingfeng,TAO Hongfu,YANG Fuqiang,et al. Research on hierarchical algorithm of nodes in mine ventilation network pressure-energy diagram[J]. Journal of Safety Science and Technology,2020,16(2):80-84.
[4]	陈立,张英华,黄志安,等. 基于区域增阻调节的采区风量及总风量变化相关性研究[J]. 煤炭工程,2017,49(1):91-94. doi: 10.11799/ce201701027 CHEN Li,ZHANG Yinghua,HUANG Zhi'an,et al. Correlation study on variations of mining area and total air volume based on regional resistance increasing adjustment[J]. Coal Engineering,2017,49(1):91-94. doi: 10.11799/ce201701027
[5]	卢新明,尹红. 矿井通风智能化理论与技术[J]. 煤炭学报,2020,45(6):2236-2247. LU Xinming,YIN Hong. The intelligent theory and technology of mine ventilation[J]. Journal of China Coal Society,2020,45(6):2236-2247.
[6]	张庆华,姚亚虎,赵吉玉. 我国矿井通风技术现状及智能化发展展望[J]. 煤炭科学技术,2020,48(2):97-103. ZHANG Qinghua,YAO Yahu,ZHAO Jiyu. Status of mine ventilation technology in China and prospects for intelligent development[J]. Coal Science and Technology,2020,48(2):97-103.
[7]	周福宝,魏连江,夏同强,等. 矿井智能通风原理、关键技术及其初步实现[J]. 煤炭学报,2020,45(6):2225-2235. ZHOU Fubao,WEI Lianjiang,XIA Tongqiang,et al. Principle,key technology and preliminary realization of mine intelligent ventilation[J]. Journal of China Coal Society,2020,45(6):2225-2235.
[8]	杨杰,赵连刚,全芳. 煤矿通风系统现状及智能通风系统设计[J]. 工矿自动化,2015,41(11):74-77. YANG Jie,ZHAO Liangang,QUAN Fang. Current situation of coal mine ventilation system and design of intelligent ventilation system[J]. Industry and Mine Automation,2015,41(11):74-77.
[9]	魏引尚,贾玉泉,王奕博,等. 矿井通风系统分级控制研究[J]. 工矿自动化,2018,44(12):30-33. WEI Yinshang,JIA Yuquan,WANG Yibo,et al. Research on grading control of mine ventilation system[J]. Industry and Mine Automation,2018,44(12):30-33.
[10]	王凯,郝海清,蒋曙光,等. 矿井火灾风烟流区域联动与智能调控系统研究[J]. 工矿自动化,2019,45(7):21-27. WANG Kai,HAO Haiqing,JIANG Shuguang,et al. Research on regional linkage and intelligent control system of mine fire wind-smoke flow[J]. Industry and Mine Automation,2019,45(7):21-27.
[11]	裴晓东,王凯,李晓伟,等. 基于元胞自动机的集约化矿井调风模型分析与仿真[J]. 中国矿业大学学报,2017,46(4):755-761. PEI Xiaodong,WANG Kai,LI Xiaowei,et al. Analysis and simulaiton of intensive mine air regulation model based on the cellular automation[J]. Journal of China University of Mining & Technology,2017,46(4):755-761.
[12]	黄光球,孙鹏,陆秋琴. 风窗对井下通风系统的影响及其调节与定位优化[J]. 中国安全生产科学技术,2014,10(3):160-167. HUANG Guangqiu,SUN Peng,LU Qiuqin. Influence of air windows on underground ventilation system and its adjusting and locating optimization[J]. Journal of Safety Science and Technology,2014,10(3):160-167.
[13]	崔传波,蒋曙光,王凯,等. 基于风量可调度的矿井风量调节[J]. 工矿自动化,2016,42(2):39-43. CUI Chuanbo,JIANG Shuguang,WANG Kai,et al. Adjustment of mine air volume based on air volume dispatchable model[J]. Industry and Mine Automation,2016,42(2):39-43.
[14]	李伟. 全断面通道式自动风窗研究与应用[J]. 工矿自动化,2016,42(12):15-18. LI Wei. Research of automatic passageway type air regulator with full section and its application[J]. Industry and Mine Automation,2016,42(12):15-18.