The Application And Research Of Data Mining In The Impact Ground Pressure Intelligent Early Warning System

My country is rich in coal resources,accounting for 11.60%of the world's reserves,the rapid development of national economy and to the protection of the safety of staff in the underground,the impact pressure has a great destructive,a serious threat to coal mine safety production,the impact pressure may induce,coal seam spontaneous combustion of coal and gas outburst,roof caving,such as group die group of injury of secondary disasters,and now into the peak period of deep mining in our country,the intensity,frequency of rock bursts occurred in coal mines,and area are raised year by year.Therefore,the development of real-time and reliable impact pressure monitoring system,the establishment of an efficient and accurate impact pressure warning system is in line with the strategic deployment of China's smart mines.This paper reference the successful experience of the excellent impact ground pressure monitoring technology at home and abroad,through the impact ground pressure precursor information,combined with the increasingly advanced technology of data mining,data warehouse technology,big data technologies such as in-depth study and architecture of the intelligent warning system the basic framework of percussive ground pressure,design and develop a set of data visualization interface based on B/S mode.Secondly,due to the complex mechanism of impact ground pressure of coal mine and the complexity of the impact ground pressure monitoring data,the characteristics of diversity,the relatively popular in the market database and data warehouse technology,the impact ground pressure monitoring data in data warehouse modeling,enables developers to analysis from different angles and the use of impact ground pressure monitoring data.Moreover,the establishment of data warehouse is the premise of data mining.Then,the paper introduces the data mining technology and mainly discussed the clustering algorithms,especially k-means algorithm,aiming at the shortcomings of the k-means algorithm,the algorithm is improved,the improved algorithm is applied to impact ground pressure monitoring data samples after greatly improves the accuracy and speed.Finally,the design and development of the visual interface of the impact pressure intelligent early warning system is designed,and the visual and visual features of the visualization technology are used to make the monitoring data available to every user.Impact ground pressure intelligent warning system is divided into software startup,data acquisition,data mining,data visualization of four big modules,this system is based on Java language is given priority to,CSS,JavaScript,HTML,the language is complementary,Tomcat as the server,Mysql for impact ground pressure monitoring data warehouse based on B/S mode Java Web project.Users can through the B/S mode Web visual interface to request our business to the Tomcat server,the server request execution after the user's request to return the browser,the user anytime and anywhere through the browser can achieve real-time query,analysis of monitoring data and provides great convenience to the user.Data mining technology in the intelligent warning system,the application of percussive ground pressure is helpful to improve the existing impact ground pressure monitoring system,enhance the capacity of impact ground pressure disaster forecast and early warning,not only guarantee the safety of underground personnel,also for the sustainable development of China's coal economy has made a certain contribution.