A novel approach of information visualization for machine operation states in industrial 4.0

Abstract A cyber-physical system integrates the virtual world of the Internet with the physical world, primarily through information visualization. Before applying such a system, Overall Equipment Effectiveness (OEE) is an important measure of the effectiveness of production operations and is a concept that encompasses equipment availability, performance, and quality. If machine utilization is not maximized, machines fail to achieve its maximum efficiency, thus increasing production costs. Using the concept of OEE, machine utilization can be improved through the reduction of idle time. Programmable logic controllers are used in factories to collect processing information in the manufacturing process; however, this approach is limited by the differences in the various machines and their operating software, complicating the information-gathering process. This paper presents a machine status signal analysis approach that uses noninvasive current-sensing equipment to collect processing information, with the objective of classifying the processing status during the production process to calculate machine availability and help to improve machine utilization and reduce equipment costs.