Research And Development Of Intelligent Milling Database Based On Multi-sensor Fusion

The development of intelligent cutting database system is an important way to realize manufacturing in the field of CNC machining,which plays a huge role in promoting of a networked,digitalized,integrated and environmental production.With the development of big data and Internet of Things(IoT),it has become the trend of developing intelligent cutting database system to combine the technology of database,sensors,data mining and visualization.Based on the analysis of the existing problems and development trend of the intelligent cutting database system,this paper studies the structure,function and application service of it,and design the milling database system based on multi-sensor data fusion.(1)Design the function and structure of system to combine the multi-sensor platform and milling database system based on the needs of the database,analysis the various functions of the database system from the physical cutting data acquisition,multi-sensor information analysis and integration,multi-source heterogeneous data representation and storage,intelligent knowledge application and service.(2)Multi-sensor platform is used as to monitor the information of milling and the prediction of cutting tool wear state is got by feature analysis and extraction,feature selection and fusion,machine learning to establish a tool condition monitor system(TCM)with a good precision and robustness.Besides,it can provide cutting physical data and tool wear monitoring for cutting database.(3)This paper studies the application of multi-sensor technology to monitor and predict the surface roughness.The single factor and orthogonal experiment of surface roughness are studied.The influence of cutting vibration was discussed and the model was established by variance and regression analysis.Based on singular spectrum analysis,information fusion and radial basis function(RBF)neural network,the surface roughness monitoring system is established to provide surface roughness monitoring and forecasting module for cutting database.(4)Based on the design of the system operation flow,function module and frame structure,and the basic information query,physical data management,intelligent knowledge are realized by combining the tool wear monitoring model and the surface roughness prediction analysis model with the database system.Integration and system management and other functional groups...