摘要
为实现煤矿井下可靠、节能自动排水的需要,根据不同季节和时段井下涌水量的差异引起水位不同变化,基于灰色理论的分析和几种灰色预测模型的比较,提出了煤矿井底水仓水位的灰色动态预测方法,采用新信息模型作为煤矿井底水仓水位动态预测的渐进模型,并采用实测的实验数据加以验证,证明具有良好的符合度。为科学、合理的确定排水时段及水泵启停控制策略、数字化监控提供了依据。
In order to meet the requirements of high reliability,energy saving and automatic control in underground coal mine water drainage,a gray dynamic forecast method is proposed for predicting water level in shaft water sump.The method is based on the grey theoretical analysis and the comparison among different gray forecast models accounting for the variation of water level caused by the differences of underground water inflow at different seasons.A new information model is adopted as a gradual model for predicting the water level in shaft water sump.The model is validated using the actual measured data.The results demonstrate the model is valid and has high accuracy.Hence the proposed method provides a mean for scientifically determining the water drainage time intervals and the start-stop control strategy.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2010年第2期278-281,共4页
Journal of Liaoning Technical University (Natural Science)
基金
黑龙江省教育厅振兴东北老工业基地重大基金项目资助(1152gzd08)
关键词
水仓水位
灰色模型
动态预测
试验分析
water sump level
grey model
dynamic prediction
experimental analysis
