3D点群からの路面ルーフボルト/ケーブルのMLSベース認識とパラメータ抽出
Zhuli Ren1,2,3, Hongyang Zhu1, Lei Zhao1
1School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, 454003, Henan, China.
Scientific reports
|January 28, 2026
まとめ
本研究では、深部炭鉱のルーフボルト安定性を自動評価するためのモバイルレーザースキャン(MLS)ベースの方法を導入します。このシステムは、ボルトとパラメータを正確に特定し、安全検査を強化します。
背景:
- 深部炭鉱における路面ルーフボルト/ケーブルの手動検査は、非効率的で主観的です。
- ルーフ支持の品質と安定性を確保することは、鉱山の安全にとって非常に重要です。
- 従来の工法では頻繁な検査は困難です。
結論:
- 提案されたMLS法は、深部炭鉱における路面支持品質のインテリジェントな評価に効果的なソリューションを提供します。
- パフォーマンスは、MLSデータの品質とルーフボルト/ケーブルの可視性に依存します。
- さまざまな鉱業条件や追加の鉱山でのさらなる検証が推奨されます。
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