Intelligent Test Paper Generation And Data Mining Technology In The Coal Mine Safety Training System

Despite of the rapid development of the coal industry technology and continuous improvement of management,mine disasters still occur frequently in mine production.This has come at a painful cost for the victim families,business and society.The main cause of mine disasters is non-compliance in the professional skills and knowledge of coal miners,non-standard operations in the actual production.To meet the test paper conditions,generating test paper is an extremely important part of the coal mine safety regulations exam training management system.In order to meet a comprehensive knowledge point of paper,this thesis presents an improved genetic algorithm,considering the user habits and the weak points in knowledge and other factors.The algorithm introduces a mathematical model to produce intelligent test paper.According to each property’s objective function to design fitness function,and to improve coded for genetic manipulation to adapt the design function,resulting in the initial population,genetic operators set.The algorithm can reduce the pumping test paper question time and highly efficiently.There are intricate relationships among the data.This thesis will analyze the user’s information of system by data mining technique and provide the methods for users to improve the effectiveness of training users and decision-making of administrators.Due to deciding employees through the assessment of coal mine safety regulations between the various attributes are not fully independent,simple and Bayesian classification method is not ideal,thus this thesis uses double Bayesian classification model to analyze and forecast test results.This thesis presents a method to build predictive models,selecting the key attributes divide a single set of attributes into strong and weak set of attribute set,and to weaken independence assumption among the attributes.Practices and examples show that the model and algorithm is suitable for text coal mine safety regulations assessment,and it improves the detection accuracy of the classification of samples.Function of the coal mine safety regulations exam management system is realized based on Qt environment.Coal mine safety regulations exam management system uses modular design to achieve data storage and management.It mainly contains a graphical user interface,user management module,practice module,special examination module and database management module.In the training,each phase of the study and testing by users will produce large amounts of data,which reflect indirectly the grasp of coal specialized and skilled knowledge.The system automatically realizes the user data storage and management database backup and restore functions.