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Paper ID:IJSREM66825

SMART INDUSTRIAL EQUIPMENT MONITORING SYSTEM USING LORA-BASED LONG RANGE WIRELESS COMMUNICATION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66825

Volume:

10 |

8 |

Aug 2026

Pages:

1-30

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PS

P. Sriram

(Assisstant Professor), Electronics and Communication Engineering

UNITED INSTITUTE OF TECHNOLOGY

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TA

T.Gopi Ananth

Electronics and Communication Engineering

UNITED INSTITUTE OF TECHNOLOGY

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VKV

V K. Vignesh

Electronics and Communication Engineering

UNITED INSTITUTE OF TECHNOLOGY

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M

M.Hariharan

Electronics and Communication Engineering

UNITED INSTITUTE OF TECHNOLOGY

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PR

P.Agasing Raj

Electronics and Communication Engineering

UNITED INSTITUTE OF TECHNOLOGY

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Mentors

PS

P. Sriram

(Assisstant Professor) ,Electronics and Communication Engineering

UNITED INSTITUTE OF TECHNOLOGY

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Abstract

This project presents a Smart Industrial Equipment Monitoring System using LoRa-based wireless communication for real-time monitoring and fault detection. The system is designed to monitor key machine parameters such as temperature, vibration, and current to ensure efficient and safe operation of industrial equipment. The transmitter unit, built using an Arduino Nano, collects data from a DS18B20 temperature sensor, a vibration sensor, and an ACS712 current sensor. The acquired data is processed and transmitted over long distances using a LoRa module. At the receiver side, an ESP8266 NodeMCU receives the data through LoRa communication and displays it on an I2C LCD. The system also uploads the data to the Ubidots cloud platform using the MQTT protocol for remote monitoring and analysis. Fault conditions such as overload, vibration fault, and power failure are detected based on sensor readings. LED strips controlled through a relay are used to simulate industrial load conditions. The proposed system provides a cost-effective, low-power, and longrange solution for industrial monitoring. It supports predictive maintenance, reduces downtime, and enhances system reliability, making it suitable for Industry 4.0 applications.

KEYWORDS

ESP8266 NodeMCU predictive maintenance reduces downtime

Cite This Article

P. Sriram, T.Gopi Ananth, V K. Vignesh, M.Hariharan, P.Agasing Raj, P. Sriram, "SMART INDUSTRIAL EQUIPMENT MONITORING SYSTEM USING LORA-BASED LONG RANGE WIRELESS COMMUNICATION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-30, Aug 2026.

Full Article/Conclusion

The Smart Industrial Equipment Monitoring System using LoRa communication has been successfully designed and implemented. The system effectively monitors important machine parameters such as temperature, vibration, and current, and detects fault conditions in real time. The use of LoRa communication enables long-range wireless data transmission with low power consumption, making the system suitable for large industrial environments. The integration of ESP8266 with IoT cloud platforms allows remote monitoring and data visualization, enhancing system usability. The system demonstrates the ability to detect overload, vibration faults, and power failure conditions accurately. The use of LED strips as load provides a practical way to simulate industrial conditions and validate system performance. Overall, the proposed system offers a cost-effective, scalable, and efficient solution for industrial monitoring. It improves reliability, reduces downtime, and supports predictive maintenance, making it highly relevant for modern industrial applications.

References

1.               Semtech Corporation, “LoRa Modulation Basics,” Application Note AN1200.22, 2015. 2.               S. Raza, P. Misra, Z. He, and T. Voigt, “Building the Internet of Things with LoRa,” IEEE Communications Magazine, vol. 55, no. 9, pp. 44–51, Sept. 2017. 3.               A. Augustin, J. Yi, T. Clausen, and W. M. Townsley, “A Study of LoRa: Long Range & Low Power Networks for the Internet of Things,” Sensors, vol. 16, no. 9, pp. 1–18, 2016. 4.               R. Want, “An Introduction to IoT and MQTT Protocol,” IEEE Internet of Things Journal, vol. 3, no. 1, pp. 1–9, Feb. 2016. 5.               P. Ferrari, A. Flammini, E. Sisinni, and D. Rinaldi, “Evaluation of LoRa for Industrial IoT Applications,” IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 9, pp. 1–10, 2019. 6.               J. Granjal, E. Monteiro, and J. S. Silva, “Security for the Internet of Things: A Survey of Existing Protocols and Open Research Issues,” IEEE Communications Surveys & Tutorials, vol. 17, no. 3, pp. 1294–1312, 2015. 7.               K. Ashton, “That ‘Internet of Things’ Thing,” RFID Journal, 2009.  

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Publication Date

8/18/2026

Peer Review Type

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Review Rounds: 2

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