Edge-Based Intelligent Monitoring Architecture for Smart Manufacturing Applications

Jatav, Amrita; Kumar, Sharad; Singh, Ashutosh; Jha, Sushil Kumar; Sharma, Vikas

doi:https://doi.org/10.55041/ijcope.v2i5.617

Volume 02, Issue 05

Published on: May 2026

EDGE-BASED INTELLIGENT MONITORING ARCHITECTURE FOR SMART MANUFACTURING APPLICATIONS

Amrita Jatav Sharad Kumar Ashutosh Singh Sushil Kumar Jha Vikas Sharma

School of Engineering & Technology Shri Venkateshwara University Gajraula , U.P. India

DOI:https://doi.org/10.55041/ijcope.v2i5.617

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Abstract

The innovative technology known as Industry 4.0 has changed the face of manufacturing with more use of automation, smart sensors, and real-time data analytics. However, the traditional method of monitoring manufacturing environments (cloud-based) has been a challenge due to high latency, narrow bandwidth, and slow decisions that lead to low efficiency in smart manufacturing environments. To overcome these issues, this paper presents an innovative Intelligent Monitoring Architecture utilizing Edge-Based Architecture to provide Smart Manufacturing Applications through the use of edge computing, the Internet of Things (IoT), artificial intelligence (AI), and real-time data processing mechanisms suitable for efficient and effective industrial monitoring and control. The proposed architecture allows for analytical processing of field-level data at the edge, thus reducing the impact of communication delays and removing reliance on traditional centralized-based cloud infrastructures for decision making. The architecture also provides intelligent analysis through the use of intelligent monitoring modules, which can be utilized to determine the presence of anomalies, predict equipment failures, optimize resource utilization, and improve overall production reliability. The proposed architecture facilitates scalable communication between industrial sensors, edge gateways, and cloud-based servers while providing secure and energy-efficient operation. Results from experimental analysis indicate that the proposed model demonstrates reduced response latency, increased monitoring accuracy, increased throughput, and lower network overhead than traditional cloud-based monitoring systems. The proposed architecture is an efficient solution for the future of smart manufacturing environments that require a fast, reliable, and intelligent method for industrial monitoring.

Keywords—Edge Computing, Smart Manufacturing, Industry 4.0, IoT, AI, Intelligent Monitoring, Industrial Automation, Real-Time Data Processing.

How to Cite this Paper

Jatav, A., Kumar, S., Singh, A., Jha, S. K. & Sharma, V. (2026). Edge-Based Intelligent Monitoring Architecture for Smart Manufacturing Applications. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.617

Jatav, Amrita, et al.. "Edge-Based Intelligent Monitoring Architecture for Smart Manufacturing Applications." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.617.

Jatav, Amrita,Sharad Kumar,Ashutosh Singh,Sushil Jha, and Vikas Sharma. "Edge-Based Intelligent Monitoring Architecture for Smart Manufacturing Applications." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.617.

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•Peer Review Type: Double-Blind Peer Review
•Published on: May 20 2026

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