TL;DR: This paper describes the development and implementation of a new MES, powered by Android devices and cloud computing tools, that combines MTConnect data with production data collected from operators, and is particularly suitable for small manufacturing enterprises, as it is low-cost and easily implementable.
TL;DR: Experimental results have proven that the proposed CPMT Platform can significantly improve the overall production efficiency and effectiveness in the shop floor.
TL;DR: A real-time machining data application and service based on IMT digital twin, established with the aim of further data analysis and optimization, such as the machine tool dynamics, contour error estimation and compensation is presented.
Abstract: With the development of manufacturing, machining data applications are becoming a key technological component of enhancing the intelligence of manufacturing. The new generation of machine tools should be digitalized, highly efficient, network-accessible and intelligent. An intelligent machine tool (IMT) driven by the digital twin provides a superior solution for the development of intelligent manufacturing. In this paper, a real-time machining data application and service based on IMT digital twin is presented. Multisensor fusion technology is adopted for real-time data acquisition and processing. Data transmission and storage are completed using the MTConnect protocol and components. Multiple forms of HMIs and applications are developed for data visualization and analysis in digital twin, including the machining trajectory, machining status and energy consumption. An IMT digital twin model is established with the aim of further data analysis and optimization, such as the machine tool dynamics, contour error estimation and compensation. Examples of the IMT digital twin application are presented to prove that the development method of the IMT digital twin is effective and feasible. The perspective development of machining data analysis and service is also discussed.
TL;DR: A new paradigm of Cyber-Physical Manufacturing Cloud (CPMC) is introduced to bridge gaps among cloud computing, cyber physical systems, and manufacturing and can monitor and execute manufacturing operations remotely over the Internet efficiently in a manufacturing cloud.
TL;DR: A systematic development method for Cyber-Physical Machine Tools (CPMT), which allows machine tool, machining processes, real-time machining data and intelligent algorithms to be deeply integrated through various types of networks is proposed.