Empowering industrial automation labs with IoT: A case study on real-time monitoring and control of induction motors using Siemens PLC and Node-RED

Authors

  • A. H. Embong Department of Mechatronics Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, Wilayah Persekutuan, Malaysia. Phone: +6036423496
  • L. Asbollah Department of Mechatronics Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, Wilayah Persekutuan, Malaysia. Phone: +6036423496
  • S. B. Abdul Hamid Department of Mechatronics Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, Wilayah Persekutuan, Malaysia. Phone: +6036423496

DOI:

https://doi.org/10.15282/jmes.18.2.2024.3.0790

Keywords:

Node-red, Induction Motor, Internet of Things, Variable Frequency Drive

Abstract

This initiative discusses the utilization of the Internet of Things (IoT) to enable smart control and monitoring of multiple devices in an industrial automation lab. The traditional manual approach of overseeing device performance in the industrial sector is prone to errors and lacks scalability and efficiency. The investigation compares Node-Red and Labview and proposes a design for remote control and monitoring. The process involves Node-Red, Siemens S7-1200 PLC, Sinamics V20 and an induction motor. Key steps include configuring frequency data exchange between Node-RED and the PLC, allocating frequencies based on an ID communication protocol, and using PLC data to power the induction motor via the Variable Frequency Drive (VFD). An experimental setup aims to validate the system’s applicability and functionality by comparing theoretical data with experimental results. The study included a no-load test to observe motor shaft operation and a variable load setup where the motor was subjected to varying loads. Real-time monitoring of speed and torque adjustments was facilitated by the control unit. The no-load test revealed an average slip of 0.06 for the motor, with a direct voltage-frequency relationship. In the variable load test, the motor maintained a consistent voltage-to-frequency ratio, while current behaviour varied across different load ranges. By leveraging IoT connectivity using Siemens PLC S7-1200, this project demonstrates real-time data collection and analysis using Node-RED, Google Firebase, Google Sheets, and remote-control capabilities, leading to improved operational efficiency, reduced downtime, and increased productivity. The article emphasizes the significance of IoT in industrial automation labs and highlights its potential to revolutionize device control and monitoring, particularly focusing on the analysis of induction motors. The main challenge was to interface the devices to create an interconnected robust system, which was successfully overcome by implementing various IoT protocols. The system generated promising results, confirming IoT’s potential in industrial automation.

References

R. Kothamasu, S. H. Huang, W. H. Verduin, “System health monitoring and prognostics - A review of current paradigms and practices,” International Journal of Advanced Manufacturing Technology, vol. 28, no. 9, pp. 1012–1024, 2006.

R. C. M. Yam, P. W. Tse, L. Li, P. Tu, “Intelligent predictive decision support system for condition-based maintenance,” International Journal of Advanced Manufacturing Technology, vol. 17, no. 5, pp. 383–391, 2001.

D. Shyamala, D. Swathi, J. L. Prasanna, A. Ajitha, “IoT platform for condition monitoring of industrial motors,” in Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES2017), vol. 2018, pp. 260–265, 2018.

A. K. S. Jardine, D. Lin, D. Banjevic, “A review on machinery diagnostics and prognostics implementing condition-based maintenance,” Mechanical Systems and Signal Processing, vol. 20, no. 7, pp. 1483–1510, 2006.

B. V. Divya, N. Latha, P. Ashwinikumari, “IOT enabled power monitoring and control of single-phase induction motor,” in International Conference on Emerging Smart Computing and Informatics (ESCI2021), pp. 670–673, 2021.

J. C. Zhao, J. F. Zhang, Y. Feng, J. X. Guo, “The study and application of the IoT technology in agriculture,” in Proceedings of 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT2010), vol. 2, pp. 462–465, 2010.

M. M. Rathore, A. Paul, W. H. Hong, H. C. Seo, I. Awan, S. Saeed, “Exploiting IoT and big data analytics: Defining smart digital city using real-time urban data,” Sustainable Cities and Society, vol. 40, pp. 600–610, 2018.

R. K. Kodali, G. Swamy, B. Lakshmi, “An implementation of IoT for healthcare,” in IEEE Recent Advances in Intelligent Computational Systems (RAICS2015), pp. 411–416, 2016.

R. Syawali, S. Meliala, “IoT-based three-phase induction motor monitoring system,” Journal of Renewable Energy, Electrical, and Computer Engineering, vol. 3, no. 1, pp. 12–18, 2023.

A. Firmansah, N. Mufti, A. N. Affandi, I. A. E. Zaeni, “Self-powered IoT based vibration monitoring of induction motor for diagnostic and prediction failure,” in IOP Conference Series: Materials Science and Engineering,

p. 012016, 2019.

A. Shukla, S. P. Shukla, S. T. Chacko, M. K. Mohiddin, K. A. Fante, “Monitoring of single-phase induction motor through IoT using ESP32 module,” Journal of Sensors, vol. 2022, p. 8933442, 2022.

N. Dehbashi, M. SeyyedHosseini, A. Yazdian-Varjani, “IoT based condition monitoring and control of induction motor using raspberry pi,” in IEEE 13th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC2022), pp. 134–138, 2022.

Y. Li, “Variable frequency drive applications in HVAC systems,” New Applications of Electric Drives, pp. 167–185, 2015.

B. J. Sauer, P. A. Brady, “Application of AC induction motors with variable frequency drives,” in IEEE Cement Industry Technical Conference, pp. 1-10, 2009.

B. Ganguly, A. Chatterjee, “MQTT protocol based extensive smart motor control for electric vehicular application,” in 7th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON2020), pp. 1-5, 2020.

A. Bhawiyuga, M. Data, A. Warda, “Architectural design of token-based authentication of MQTT protocol in constrained IoT device,” in Proceeding of 11th International Conference on Telecommunication Systems Services and Applications (TSSA2017), vol. 2018, pp. 1–4, 2018.

M. Kazmi, M. T. Shoaib, A. Aziz, H. R. Khan, S. A. Qazi, “An efficient IoT-based smart sensor node for predictive maintenance of induction motors,” Computer Systems Science and Engineering, vol. 47, no. 1, pp. 255-272, 2023.

A. O. Kurniawan, A. R. Hakiki, K. N. Banjarnahor, M. A. Hady, A. Santoso, A. Fatoni, “Internet based remote laboratory architecture for 3-phase induction motor control system experiment,” in Proceedings of International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era (ISITIA2021), pp. 381–385, 2021.

M. M. Ali, S. H. Hussaini, M. Z. Uddin Abbas, M. Z. Ul Abedin, M. H. Khan, M. Omair, et al., “Microcontroller application in industrial control & monitoring systems,” International Journal of Engineering Trends and Technology, vol. 17, pp. 26–31, 2014.

I. Ahmed, H. Wong, V. Kapila, “Internet-based remote control using a microcontroller and an embedded ethernet,” in Proceedings of the American Control Conference, vol. 2, pp. 1329–1334, 2004.

G. -M. Sung, Y. -S. Shen, L. T. Keno, C. -P. Yu, "Internet-of-things based controller of a three-phase induction motor using a variable-frequency driver," in IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE2019), pp. 156-159, 2019.

N. N. Barsoum, P. R. Chin, “Ethernet control AC motor via PLC using LabVIEW,” Journal of Intelligent Control and Automation, vol. 2, no. 4, pp. 330–339, 2012.

M. Tabaa, B. Chouri, S. Saadaoui, and K. Alami, “Industrial communication based on Modbus and Node-RED,” Procedia Computer Science, vol. 130, pp. 583–588, 2018.

L. Moroney. The Firebase Realtime Database: The Definitive Guide to Firebase, 1st ed. United States: Apress Berkely CA, pp. 51-71, 2017.

P. Pillay, Z. Xu, “Labview implementation of speed detection for mains-fed motors using motor current signature analysis,” IEEE Power Engineering Review, vol. 18, no. 6, pp. 47–48, 1998.

S. Janrao, R. Ambekar, “Fault diagnosis of a braoken rotor bar in an induction motor using motor current signature analysis,” International Journal of Applied Engineering Research, vol. 13, no. 12, pp. 11002 – 11008, 2018.

J. Jerome, A. P. Aravind, V. Arunkumar, P. Balasubramanian, “LabVIEW based intelligent controllers for speed regulation of electric motor,” IEEE Instrumentation and Measurement Technology Conference, vol. 2, pp. 935–940, 2005.

P. Pillay, Z. Xu, “Motor current signature analysis,” IEEE Industry Applications Society Annual Meeting, vol. 1, pp. 587–594, 1996.

N. Nguyen, “Building an E-commerce application utilizing firebase cloud service,” Bachelor Thesis, Metropolia University of Applied Sciences, Finland, 2022.

Y. Xu, W. Lu, C. Li, W. Aslam, “Sensitivity of low-voltage variable-frequency devices to voltage sags,” IEEE Access, vol. 7, pp. 2068–2079, 2019.

S. Morimoto, M. Sanada, Y. Takeda, “Effects and compensation of magnetic saturation in flux-weakening controlled permanent magnet synchronous motor drives,” IEEE Industry Application Society Annual Meeting, vol. 30, no. 6, p. 1632.

T. H. Morgan, W. E. Brown, A. J. Schumer, “Induction-motor characteristics at high slip,” Electrical engineering, vol. 59, no. 8, pp. 464–468, 1940.

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Published

2024-06-28

How to Cite

[1]
A. H. Embong, L. Asbollah, and S. B. Abdul Hamid, “Empowering industrial automation labs with IoT: A case study on real-time monitoring and control of induction motors using Siemens PLC and Node-RED”, J. Mech. Eng. Sci., vol. 18, no. 2, pp. 10004–10016, Jun. 2024.

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