Research of colliery safety monitorying based on data mining
LI Rui-hu
Abstract
LI Rui-hu
Abstract
The biggest characteristic of the coal mine production are dynamic, randomness and fuzziness,all various influencing factors are restricted each other,many problems are showed nonlinear relation very much. In this paper, we put forward a coal mine safety monitoring scheme which based on data mining, put the original information of coal mine safety monitoring system as the data samples,use the association rule mining algorithm in data mining, mine the relationship between natural disaster factors in coal mine production. So as to improve the efficiency of the coal mine safety monitoring and depth of monitoring, it provides a favorable tool in order to achieve coal mine safety monitoring automation and coal mine safety monitoring expert system.
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The biggest characteristic of the coal mine production are dynamic, randomness and fuzziness,all various influencing factors are restricted each other,many problems are showed nonlinear relation very much. In this paper, we put forward a coal mine safety monitoring scheme which based on data mining, put the original information of coal mine safety monitoring system as the data samples,use the association rule mining algorithm in data mining, mine the relationship between natural disaster factors in coal mine production. So as to improve the efficiency of the coal mine safety monitoring and depth of monitoring, it provides a favorable tool in order to achieve coal mine safety monitoring automation and coal mine safety monitoring expert system.
Key concepts: Coal mining, Safety monitoring, Mine safety, Automation, Engineering, Randomness, Mining engineering, Coal