Human will be in a big data era as the rapid development of industrial technology.A large amount of injury data generated by the era of big data is a great wealth of mankind.In the face of the arrival of the era of big data,traditional way of data processing is faced with new challenge.Amounts of data can be transferred to the effective information by building the model in the face of development of big data era effectively.Data mining is oriented as the research object based on accident database.Accidents of the coal accident database are resolved into different injury factors reasonably and scientifically in our country.On the basis of injury factors,multi-dimensional injury descriptive framework is established and the injury elements of arranged and combined.In addition,the traditional risk matrix method are studied and the method of P?C is used to subdivide level of risk.Expert scoring is used to get risk matrix.As two-dimensional matrix is usually difficult to express the disadvantages of the combination of multiple injury factors,the analysis dimension is added and two-dimensional matrix is stacked.Finally,multidimensional injury analysis model is established to shorten the time of looking for specific causes damage,realize intuitive analysis model,and fully express damage characteristics. |