|
|
|
| Research on intelligent air control and dust removal system in heading face |
| Zhang Pingzhe1, 2, Qi Yipei1, 2, Jiang Boyang1, 2, Li Jia1, 2, Wang Fusheng1, 2, Chen Sijin1, 2 |
| 1. College of Emergency Management and Safety Engineering, North China University of Technology, Tangshan 063210, China; 2. Key Laboratory of Mining Development and Safety Technology of Hebei Province, Tangshan 063210, China |
|
|
|
|
Abstract According to the development needs of smart mines, in order to reduce the dust exposure of workers in the tunneling face of coal mines and improve the efficiency of dust concentration control, the influence of different angles of the air outlet of the air duct on the distribution of dust concentration was analyzed by experiments and simulations. The minimum dust concentration at the breathing zone and the driver is the first principle, and the dust concentration treatment is the secondary principle to select the optimal air outlet angle of the air duct. The results show that when the distance between the outlet of the air duct and the head is 5 m, 7 m and 9 m, the optimal outlet angles of the air duct are 60°, 45°and 30°respectively, and the centralized treatment points of dust concentration are ( 10 m, 2.5 m and 2.8 m ), ( 2 m, 2.5 m and 3 m ), ( 4.5 m, 2.5 m and 3 m ) respectively. An intelligent air control and dust removal system is designed for the dust concentration point. The angle of the air outlet and the position of the nozzle are dynamically adjusted by real-time monitoring of the distance between the air duct and the head, so as to achieve the purpose of directional centralized spray dust reduction and reduce the dust exposure of workers, and provide a theoretical basis for the construction of intelligent clean mines.
|
|
|
|
|
|
| 1 ] 刘 伟. 采煤工作中的防尘管理与技术措施[ J ]. 能源与节能,2024( 2 ):141 - 143,153.
[ 2 ] 姜 婉. 综掘工作面压入式通风流场及粉尘运移规律研究[ D ]. 焦作:河南理工大学,2018.
[ 3 ] 任 鹏. 掘进工作面气液两相流超声雾化降尘技术研究[ D ]. 太原:太原理工大学,2022.
[ 4 ] 秦跃平,姜振军,张苗苗,等. 综掘面粉尘运移规律模拟及实测对比[ J ]. 辽宁工程技术大学学报(自然科学版),2014,33( 3 ):289 - 293.
[ 5 ] 齐艺裴. 巷道风流能量耗散机理及粉尘输运动力学模型研究[ D ]. 北京:中国矿业大学(北京),2021.
[ 6 ] 王佳硕,齐艺裴,周子健,等. 基于5种风筒出风角度的粉尘分布[ J ]. 煤炭技术,2021,40( 9 ):99 - 101.
[ 7 ] 王晓珍. 煤巷掘进过程中粉尘浓度影响因素分析[ J ]. 中国安全生产科学技术,2011,7( 4 ):75 - 79.
[ 8 ] 李雨成,李 智,高 伦. 基于风流及粉尘分布规律的机掘工作面风筒布置[ J ]. 煤炭学报,2014,39(增刊1):130 - 135.
[ 9 ] GONG Xiaoyan, JIA Congcong, SUN Kang, et al. Distribution law and prediction model of dust concentration under airflow adjustment in fully mechanized heading face[ J ]. Mathematical Problems in Engineering,2019( 3 ):1 - 17.
[ 10 ] ZHANG Feng, LU Ying, WANG Yapeng, et al.Study on air curtain cooperative spray dust removal in heading face based on swirl theory[ J ]. Journal of Environmental Chemical Engineering,10( 2022 ): 108 892.
[ 11 ] 张艳军,王秋冬,叶家根. 马脊梁矿回风巷道云喷雾降尘系统设计[ J ]. 山西大同大学学报(自然科学版),2023,39( 5 ):98 - 100.
[ 12 ] 陈文晨,贾希盛,亓永芝. 煤矿井下磁化水降尘技术研究与应用[ J ]. 内蒙古煤炭经济,2023( 19 ):127 - 129.
[ 13 ] 程卫民,周 刚,陈连军,等. 我国煤矿粉尘防治理论与技术20年研究及展望[ J ]. 煤炭科学技术,2020,48( 2 ):1 - 20.
[ 14 ] 朱 斌,王蒙飞,张钧琦,等. 矿井风流调控装置自适应智能调控方法[ J ]. 煤矿机械,2023,44( 7 ):187 - 189.
[ 15 ] 李 刚,周 哲,胡锦华. 基于知识图谱的我国矿井粉尘防治技术研究进展与展望[ J ]. 金属矿山,2023,565( 7 ):28 - 39.
[ 16 ] 梁 涛,侯友夫,吴楠楠. 掘进工作面局部通风智能监控系统的研究[ J ]. 矿山机械,2008,36( 1 ):19 - 22.
[ 17 ] 秦书明,吴利学. 煤矿智能局部通风系统的设计及应用[ J ]. 煤矿机电,2014,200( 1 ):94 - 96.
[ 18 ] 王海军,曹 云,王洪磊. 煤矿智能化关键技术研究与实践[ J ]. 煤田地质与勘探,2023,51( 1 ):44 - 54.
[ 19 ] 龚晓燕,雷可凡,吴群英,等. 数字孪生驱动的掘进工作面出风口风流智能调控系统[ J ]. 煤炭学报,2021,46( 4 ):1 331 - 1 340.
[ 20 ] 陈长锋. 现代电气控制及PLC应用技术分析[ J ]. 中国设备工程,2022,506( 18 ):186 - 188.
[ 21 ] LIU Xiaofei, CHANG Ping, WANG Enyuan, et al. Numerical study of the respirable coal dust removal performance of a vortex ventilation system at an excavatiion face[ J ]. Energies, 2018, 11, 2 449. |
|
|
|