摘要
在矿山呼吸性粉尘监测中 ,有时需要补充缺失的数据 ,有时出于安全环保的原因 ,需要提前知道数据。本文引入了灰色理论中的GM(1,1)模型 ,对呼吸性粉尘浓度变化趋势进行预测。通过对 2 0 0 0年德兴铜矿、永平铜矿、武山铜矿、银山铅锌矿、东乡铜矿五个矿山四个季度粉尘数据进行分析 ,建立了相应的灰色预测曲线。误差分析表明 ,这些曲线有较好的预测效果。
During the monitoring of breathed dust in the mine, sometime lost data need supplement; sometime the data need be known ahead because of safety and environmental protection. With the adoption of GM(1,1) model in gray theory, the article predicts the density change trend of breathed dust, establishes corresponding gray predicting curve based on the analysis of dust data in four seasons in 2000 in Dexing Copper Mine, Yongping Copper Mine, Wushan Copper Mine, Yinshan Lead Zinc Mine and Dongxiang Copper Mine and error analysis indicates that the curve has better predicting effect.
出处
《铜业工程》
CAS
2001年第4期67-68,74,共3页
Copper Engineering
