Research On Mine Risk Data Mining Models Andapplicable Algorithm

Coal resources are important energy resource in our Country.There are many security risks which can result in mine accident in coal mining process.Coal mine safety production has been in an increasing emphasis on social with the advance in science and improve in productivity level.Many mines are now equipped with security risk parameter monitoring system which can Real-time monitor parameters information like Gas concentration, ventilation rate, temperature in the mine.But few mine can effectively use these data to obtain useful information. This article is to use data warehouse and data mining technology to dig out useful information with Coal mine safety monitoring system monitoring parameter information.Firstly,this paper describes the current situation of China’s coal mine accidents.It shows relatively grim situation of China’s coal mine production by data collection and graphing.Then, this paper analyzes the theoretical knowledge of data warehouse and data mining.Which provide theoretical basis for building coal mine safety hazards model and data Mining.Secondly, effective mine safety hazard parameter data is got by the set of a reasonable model of coal mine safety problems and building of a data warehouse.Lastly, increase Reasonable and decrease candidate volume of candidate set Ck are put forward for the inadequate of Apriori algorithm in accuracy of association rules and time efficiency. Rationality of improvements are proved by Experiments. Strong association rules are received by excavating data in data warehouse with improved algorithms. The rules were improved rationality by analysing,which provides a good reference for coal mine safety production.