China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (4): 44-50.doi: 10.16265/j.cnki.issn1003-3033.2022.04.007

• Safety engineering technology • Previous Articles     Next Articles

Study on dual-objective optimization of dust under airflow regulation in fully mechanized faces

GONG Xiaoyan(), TONG Dandan, FAN Jiangjiang, PENG Gaogao, LI Zhen, ZHAO Shaolong   

  1. College of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
  • Received:2021-12-26 Revised:2022-03-13 Online:2022-04-28 Published:2022-10-28

Abstract:

In order to solve the problem of heavy dust accumulation in roadways caused by the failure of current ventilation mode in coal mines to dynamically regulate wind state of its air outlets according to actual needs during tunneling process, flow field simulation test method was adopted to analyze and obtain regression data of dust concentration along with changes of air flow parameters of the outlets. Secondly, with the lowest respirable dust concentration at drivers' place and optimal total dust concentration at return side as goals, a dual-objective optimization model of dust concentration under control of airflow was established. Then, it was solved based on particle group algorithm, and ideal solution was selected as optimal airflow control plan. Finally, downhole test and dust reduction effect analysis were carried out using self-developed control device. The results show that after optimal airflow regulation, total dust concentration on return side is reduced by 38.55% and 42.11% when air outlet is 5 and 10 m respectively away from end face, and respirable dust concentration at drivers' place is reduced by 26.05% and 27.29%, thus providing theoretical basis for safe and efficient ventilation and dust reduction in fully mechanized faces.

Key words: fully mechanized face, airflow control, optimization model, particle swarm algorithm, dust concentration