Research On Analysis Algorithm Of Mining Truck Tire Wear Based On Data Mining

This paper is completed by relying on the horizontal project of Inner Mongolia Guangna group.The purpose is to find out the causes affecting tire wear and solve the problems of mining truck tire wear and high consumption cost.At present,Guangna group has 12 open-pit coal mines with an annual output of 9.6 million tons.Truck transportation is the main transportation mode of these coal in the mine,and about 80% of the total production cost is truck transportation cost,Diesel consumption and truck tire wear are the main proportion of transportation costs.Mining truck tires consume a lot and cost a lot.The main content of this paper is to analyze the wear causes of mining truck tires from a large number of tire use data.The main work is to study a data analysis model that can analyze the causes of tire wear,and sort the influence degree of various influencing factors,so as to give the mining staff a reasonable suggestion and Countermeasures close to the actual situation.Different from the previous research based on dynamics and material science,this paper analyzes the wear causes of mining truck tires based on the method of data mining,and creates a new application scenario for the data mining model.Data mining can use various models and various technical tools to find the laws and potential information behind them in the massive database,and find out the association rules between these information and laws.In the research process of the algorithm needed in this paper,we try to use decision tree,K-means,clustering,linear regression and neural network models.Through the comparison of test set training results,finally,this paper selects two models of linear regression and BP neural network to analyze and compare the causes of tire wear.Through the actual evaluation of mine staff,it is considered that the analysis results of the model are consistent with the actual situation and have high reliability.In order to visualize the experimental results,this paper establishes the tire wear cause analysis system of mining truck of Guangna group,The system can call the algorithm,and each module runs smoothly.It can analyze any specified data set,and the data analysis results can be obtained in the system.Finally,the conclusion of this algorithm effectively solves the problem of scientific management of mining truck tires in Guangna group,realizes the purpose of reducing cost and increasing efficiency,and creates great economic benefits for Guangna group.