Integrating IoT and Control Systems for Advanced Industrial Applications

The integration of the Internet of Things (IoT) with control systems is transforming industrial applications by enabling automation, real-time monitoring, and intelligent decision-making. This study explores key enabling technologies such as wireless sensor networks, edge computing, and cloud-based control architectures. IoT-driven control systems enhance efficiency, reliability, and flexibility in industrial processes. The paper examines predictive maintenance, fault detection, and optimized resource utilization through IoT integration. Security challenges and solutions for ensuring robust industrial automation are discussed. Interoperability between IoT platforms and traditional control systems is explored. The study emphasizes scalable and resilient architectures for future industrial automation. Emerging trends such as digital twins and blockchain for secure IoT operations are analysed. Standardization efforts and regulatory considerations are reviewed. The findings demonstrate IoT’s potential in revolutionizing industrial automation.

Publication Details

Journal
Computer Science Engineering and Technology
Published
2025-10-29
DOI
https://doi.org/10.46632/cset/1/1/19
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating IoT and Control Systems for Advanced Industrial Applications

Computer Science Engineering and Technology
Digital Transformation in Industry
article

Integrating IoT and Control Systems for Advanced Industrial Applications

article en

Abstract

The integration of the Internet of Things (IoT) with control systems is transforming industrial applications by enabling automation, real-time monitoring, and intelligent decision-making. This study explores key enabling technologies such as wireless sensor networks, edge computing, and cloud-based control architectures. IoT-driven control systems enhance efficiency, reliability, and flexibility in industrial processes. The paper examines predictive maintenance, fault detection, and optimized resource utilization through IoT integration. Security challenges and solutions for ensuring robust industrial automation are discussed. Interoperability between IoT platforms and traditional control systems is explored. The study emphasizes scalable and resilient architectures for future industrial automation. Emerging trends such as digital twins and blockchain for secure IoT operations are analysed. Standardization efforts and regulatory considerations are reviewed. The findings demonstrate IoT’s potential in revolutionizing industrial automation.

Computer Science Engineering and TechnologyVol. 1(1)
Openalex Percentile: Top 56%
Digital Transformation in Industry
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Integrating IoT and Control Systems for Advanced Industrial Applications · Computer Science Engineering and Technology (2025) | TGRS Research Map | TGRS