Application of Decision Tree Excavation to Coal Mine Safety Monitoring and Measurement
Sun Chang-li
Abstract
Sun Chang-li
Abstract
According to the classification function of the decision tree algorithm in the data excavation,based on the application in the mine safety monitoring and measurement,with the analysis on the coal mine data,such as the gas contents,sensor types,mine safety status and so on measured from different locations of the mine,the safety hidden danger could be identified in the present mine.Therefore the hidden danger could be on timely eliminated and the mine safety production could be effectively ensured.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
According to the classification function of the decision tree algorithm in the data excavation,based on the application in the mine safety monitoring and measurement,with the analysis on the coal mine data,such as the gas contents,sensor types,mine safety status and so on measured from different locations of the mine,the safety hidden danger could be identified in the present mine.Therefore the hidden danger could be on timely eliminated and the mine safety production could be effectively ensured.
Key concepts: Coal mining, Mine safety, Excavation, Mining engineering, Safety monitoring, Decision tree, Engineering, Forensic engineering