Optimization of Branch Airflow Volume for Mine Ventilation Network Based on Sensitivity Matrix

Author:

Hou Jie12ORCID,Nie Gang1,Li Guoqing1,Zhao Wei3,Sheng Baoli3

Affiliation:

1. School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China

2. Anhui Mine IOT and Security Monitoring Technology Key Laboratory, Hefei 230088, China

3. Sanshandao Gold Mine, Shandong Gold Group Mining (Laizhou) Co., Ltd., Yantai 261417, China

Abstract

Underground mines have gradually entered the stage of deep mining with the consumption of shallow mineral resources, which makes mine ventilation networks generally complicated and the problem of unstable supply of branch airflow volume in deep-level ventilation networks increasingly serious. The scientific distribution of the airflow volume between operation areas has become an important problem in the optimization of mine ventilation systems. This study takes the ventilation system of the Xinli Submine of Sanshandao Gold Mine as an example to analyze the airflow volume regulation demand of the deep-level section stope to further improve the coordination of the airflow volume distribution in the underground mine. The drawing and equivalent simplification of the ventilation network diagram are completed according to the engineering parameters of the target level roadway, and the sensitivity matrix is calculated using a formula. The optimization of the adjustment branch and the formulation of the adjustment scheme are carried out based on the sensitivity matrix. By realizing the adjustment objective of the branch airflow volume via comparing the airflow volume of the ventilation network before and after adjustment, the adjustment scheme can make the airflow volume distribution in the level more balanced. The results of our study show that branch sensitivity theory is theoretically feasible for analyzing and solving the problem of the mine ventilation network, which has certain practical significance for the adjustment of airflow volume in mines.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Anhui Mine IoT and Security Monitoring Technology Key Laboratory

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference31 articles.

1. Evaluating complex mine ventilation operational changes through simulations;Nel;J. Energy South. Afr.,2018

2. A Review of Primary Mine Ventilation System Optimization;Lowndes;Interfaces,2014

3. CFD simulation of methane dispersion and innovative methane management in underground mining faces;Kurnia;Appl. Math. Model.,2014

4. Challenges in Selecting an Appropriate Heat Stress Index to Protect Workers in Hot and Humid Underground Mines;Roghanchi;Saf. Health Work,2018

5. Determination of the Zone Endangered by Methane Explosion in Goaf with Caving of Longwalls Ventilated on Y System;Brodny;Manag. Syst. Prod. Eng.,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3