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基于时间序列的胶结充填体变形预测 被引量:2

Deformation prediction of cemented backfilling body based on time series model
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摘要 充填体沉降变形易导致其失去充填空区、支撑围岩及预防岩爆、岩层冒落的作用。为准确预测充填体的变形,建立时间序列GM(1,1)-AR(2)预测模型,对安庆铜矿灰砂比为1∶8、1∶10与1∶12的胶结充填体变形进行预测,以128至164 d的变形值为拟合样本,预测170至182 d的变形值,最大误差仅为0.825%,最小误差为0.185%,置信度远高于95%。该研究为深井矿山安全、高效回采提供了科学依据。 In order to predict the subside deformation of backfilling body well and truly, the time serious prediction model of GM(1,1) - AR(2) was established and used in Anqin Copper Mine as example to predict the deformation of cemented backfilling body with 1 : 8, 1 : 10 and 1 : 12 of the mass ration of cement to railings. During this process, the deformation values between 128 and 164 d were used as fitting samples, to predict the deformation values between 170 and 182 d, with 0.825% of the max error, 0. 185% of the min error and more than 95 % of the belief degree. This study provide basis for safe and efficient mining in deep mine.
作者 王莉 赵彬
出处 《化工矿物与加工》 CAS 北大核心 2010年第1期27-30,共4页 Industrial Minerals & Processing
关键词 充填采矿法 胶结充填体 时间序列 变形 预测 filling mining method cemented backfilling body time series deformation prediction
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