Development of Cloud Computing Based Intelligent Integrated Manufacturing System

Abstract

A cloud computing based intelligent integrated manufacturing system was proposed. In order to develop an intelligent integrated manufacturing system, it is necessary to build up many database servers, which makes the system very expensive. To overcome this problem, we developed a cloud computing based system for quality analysis of the intelligent integrated manufacturing system. The architecture of the system contains: i) Cloud database structure; ii) Quality analysis engine; iii) Real-time human-machine interface. We use Microsoft SQL Azure as the cloud database to scatter and store data on redundant disk arrays. The quality analysis engine contains 12 quality input factors and 16 prediction outputs. It is used to predict manufacturing quality using neural networks. ASP.NET was used to program a human-machine interface with real-time data updating, providing a real-time data display available anytime, anywhere through the interface. Through experiments we found that that by using many database servers, improvement in a general traditional manufacturing system can be realized. The proven advantages of low cost, performance scalability, mobile management and maintenance facilities, make it important to develop a cloud computing based intelligent integrated manufacturing system using the analysis engine to predict manufacturing quality.