TY - GEN
T1 - Cost-Effective Approach for Data Integration on Tire Stacking Machine Through Real-Time Industrial Machine Monitoring System
AU - Indasyah, Enny
AU - Yafi, Muhammad Ali
AU - Ghofoer, Rachmad Abdhael
AU - Frisiawan, Andi
AU - Istiqomah, Fivitria
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The utilization of real-time industrial machinery condition monitoring systems has emerged as an important component in improving operational efficiency, reliability, and equipment life. In specific industrial sectors, manual methods of data storage and retrieval are still used, leading to inefficiencies in data presentation. Widespread problems in these industries arise due to the absence of real-time data access. This research centers on a cost-effective approach to designing and implementing a real-time monitoring system for tire stacking machines. This paper introduces a real-time monitoring system on a tire stacking machine using Node-RED, equipped with integrated storage of stacking data, machine breakdown information, and process cycle time in a web dashboard powered by Grafana. The system can be accessed locally or via an industrial intranet network.
AB - The utilization of real-time industrial machinery condition monitoring systems has emerged as an important component in improving operational efficiency, reliability, and equipment life. In specific industrial sectors, manual methods of data storage and retrieval are still used, leading to inefficiencies in data presentation. Widespread problems in these industries arise due to the absence of real-time data access. This research centers on a cost-effective approach to designing and implementing a real-time monitoring system for tire stacking machines. This paper introduces a real-time monitoring system on a tire stacking machine using Node-RED, equipped with integrated storage of stacking data, machine breakdown information, and process cycle time in a web dashboard powered by Grafana. The system can be accessed locally or via an industrial intranet network.
KW - Cost-Effective Solutions
KW - Grafana
KW - Industrial Internet of Things
KW - Node-RED
KW - Open-Source Technologies
KW - Real-Time Monitoring Systems
KW - Tire Stacking Machine
UR - http://www.scopus.com/inward/record.url?scp=85186538780&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA60881.2023.10427596
DO - 10.1109/ICAMIMIA60881.2023.10427596
M3 - Conference contribution
AN - SCOPUS:85186538780
T3 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
SP - 916
EP - 921
BT - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Y2 - 14 November 2023 through 15 November 2023
ER -
