首页 | 本学科首页   官方微博 | 高级检索  
     检索      

煤矿开采矿井涌水量预测方法现状及发展趋势
引用本文:王晓蕾.煤矿开采矿井涌水量预测方法现状及发展趋势[J].科学技术与工程,2020,20(30):12255-12267.
作者姓名:王晓蕾
作者单位:吕梁学院矿业工程系,吕梁033000;煤矿机械装备维护与检测试验吕梁市重点实验室,吕梁033000
摘    要:煤矿开采矿井涌水量对于煤矿防治水以及安全高效生产具有重要意义。详细阐述了矿井涌水量预测方法,并对其预测过程进行了较为详细的论述与分析。指出矿井涌水量预测方法存在的问题,针对存在的问题,提出了未来应建立多因素综合模型,将传统的单一模型进行扩大,提高适用范围和预测精度;建立基于大数据的预测,将矿井涌水量与大数据有机结合,通过大数据分析涌水量的特征预测矿井涌水量;进行系统理论综合分析,将矿区涌水量作为一个系统,从时空序列中提取地下水变化特征,为涌水量的预测提供支撑。

关 键 词:矿业工程  涌水量  预测方法  发展趋势
收稿时间:2020/2/20 0:00:00
修稿时间:2020/8/3 0:00:00

Present Situation and Development Trend of Coal Mine Discharge Forecast Method
WANG Xiao-lei.Present Situation and Development Trend of Coal Mine Discharge Forecast Method[J].Science Technology and Engineering,2020,20(30):12255-12267.
Authors:WANG Xiao-lei
Institution:Department of mining engineering,Luliang University1
Abstract:The water inflow from coal mine is of great significance to the prevention and control of water and the safe and efficient production of coal mine. The prediction method of mine water inflow is described in detail, and the prediction process is discussed and analyzed in detail. This paper points out the problems existing in the prediction method of mine water inflow, and in view of the existing problems, puts forward that the multi-factor comprehensive model should be established in the future to expand the traditional single model and improve the applicable scope and prediction accuracy, and based on the prediction of big data, the mine water inflow and big data are combined organically to predict the mine water inflow through big data analysis. Based on the comprehensive analysis of system theory, the water inflow in mining area is regarded as a system, and the variation characteristics of groundwater are extracted from the space-time series, which provides support for the prediction of water inflow.
Keywords:mineral  engineering    water  inflow    prediction  technique    trend  in development
本文献已被 万方数据 等数据库收录!
点击此处可从《科学技术与工程》浏览原始摘要信息
点击此处可从《科学技术与工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号