Cost Effective Digitalization Solution for Sinumerik CNC System To Increase The Transparency and Utilization of The Machine
Pooja Anand1, Vinitha Lea Philip2, Parthasarathy Eswaran3
1Pooja Anand, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu.
2Vinitha Lea Philip, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu.
3P. Eswaran, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu.
Manuscript received on 11 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 6-13 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1030058119/19©BEIESP | DOI: 10.35940/ijrte.A1030.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this work, we fetch the current trends in industrial automation and data exchange technology adopted in Computer Numerical Control (CNC) machine and mitigate the features in in a cost-effective manner. The current trend is Industry 4.0, uses cloud-based systems for information and data exchanges in machine to machine communication. This methodology is reliable, but expensive and can be afforded only by large scale companies. In order to provide the data transparencies at low cost, we utilize a low-cost computing system using Python language for small scale industry. This technique was implemented in the existing CNC machine and the machine parameters such as Machine Operating Mode, Cycle Time, Part Count, Feed rate, Spindle Running Hours, Machine Running Hours, and Machine Utilization Hours are monitored. Graphical user interface (GUI) screens are developed to help human machine interface. Acquired real-time machine data will help boost transparency and help the operator/ user for smart decision making. The IIoT (Industrial Internet of Things) technology helps to connect more numbers of such machines, results in increased machine utilization and productivity through continuously monitoring and analyzes.
Index Terms: , IoT, Automation, Computer Numerical Control (CNC), Data Analysis, Industry 4.0, Industrial IoT.
Scope of the Article: IoT