东北石油大学学报2018，Vol.42Issue(6)：114-120,前插8,8.DOI:10.3969/j.issn.2095-4107.2018.06.012
基于改进Kriging插值的煤矿井下定位算法
Coal mine underground positioning algorithm based on improved Kriging interpolation
摘要
Abstract
In order to solve the problem of collecting fingerprints point by point in the fingerprint matching and positioning process of coal mine underground position, which takes a lot of manpower and low efficiency.This paper proposes a coal mine underground positioning algorithm based on improved Kriging interpolation.It only needs to collect partial position fingerprints and interpolate through Kriging.The fingerprints of other locations are estimated, and the grey wolf optimization algorithm is improved by grouping and differential evolution strategy, the variation function parameters are optimized, and the interpolation estimation accuracy is improved.The experimental results show that compared with IDW interpolation and ordinary Kriging interpolation algorithm, the improved Kriging interpolation algorithm is used to further improve the position fingerprint estimation accuracy and downhole positioning accuracy.关键词
煤矿/井下定位/位置指纹/Kriging插值/灰狼优化算法/变异函数Key words
coal mine/underground coal mine positioning/position fingerprint/Kriging interpolation/grey wolf optimization algorithm/variogram分类
信息技术与安全科学引用本文复制引用
朱恒军,王冠钰,张靓..基于改进Kriging插值的煤矿井下定位算法[J].东北石油大学学报,2018,42(6):114-120,前插8,8.基金项目
黑龙江省教育厅科学技术研究项目 (12541873) （12541873）
