关键词: 掘进效率, 单进水平, 数据挖掘

Abstract: Based on the data mining, taking Shendong company as an example, the change tendency of excavating level in nearly five years was summarized. A restriction list composed of geological factors, production organization, technical support, equipment matching, compensation, promotion personnel was analyzed, which found the key restriction factors of the tunneling efficiency. The improvement of tunneling efficiency was put forward such as the source and process control and management measures. The implementation results of shendong showed that the advance level of 2019 had increased by 22% ,compared with that in 2018. The average tunneling level for continuous miner reached 1289.3m per month, with the highest record 2208m per month. The bolter miner reached 632.6m per month, with the highest record 1101m per month. Without reducing tunneling, 5 excavation teams were saved to do the other mining construction, which was expected to save manpower cost 37.62 million yuan, equipment rental cost 30.83 million yuan. Shendong's case provided a solution for coal enterprises to safely and efficiently tunnel, reduce cost and increase efficiency, which enhanced the competitiveness of enterprises.