Harnessing IoT for Enhanced Industrial Efficiency: A Review of IoT-Enabled Motor Monitoring and Control Systems

Abstract— The rapid evolution of technology and the growth of internet networking have established the Internet of Things (IoT) as a central communication method between devices. The number of internet-connected devices is rising, especially in industrial settings, where they enhance the control and monitoring of production processes. IoT plays a critical role in continuously monitoring key industrial parameters, ensuring consistent and high-quality production. Specifically, IoT-based systems are instrumental in ensuring the reliable performance of motors, thereby boosting productivity. These systems are highly beneficial for industrial applications, including solar power plants, where they contribute to efficient electricity usage. IoT's current capabilities extend beyond mere connectivity; they now link people and devices, paving the way for increased remote control via mobile applications. This development not only simplifies daily life but also empowers businesses by providing deeper insights into operations and customer preferences. Whether in home automation, healthcare, or industrial applications, IoT-enabled control and monitoring of motors significantly enhance operational productivity. By effectively tracking conditions based on predefined parameters, these systems can adjust motor speeds according to specific process requirements, thereby optimizing performance. Moreover, IoT's ability to collect and analyze vast amounts of data from motors allows for predictive maintenance, preventing issues such as motor overloading and improper handling. This leads to safer operations and extends the lifespan of the equipment. The integration of IoT in monitoring systems enables the storage, processing, and real-time analysis of data, providing actionable insights that reduce maintenance costs, improve reliability, optimize motor performance, and enhance the accuracy of failure predictions. Ultimately, the adoption of IoT in industrial environments not only ensures efficient and effective operations but also drives innovation and sustainability in various sectors.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.13858671
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

Harnessing IoT for Enhanced Industrial Efficiency: A Review of IoT-Enabled Motor Monitoring and Control Systems

Zenodo (CERN European Organization for Nuclear Research)
Data Mining Algorithms and Applications
article

Harnessing IoT for Enhanced Industrial Efficiency: A Review of IoT-Enabled Motor Monitoring and Control Systems

article en

Abstract

Abstract— The rapid evolution of technology and the growth of internet networking have established the Internet of Things (IoT) as a central communication method between devices. The number of internet-connected devices is rising, especially in industrial settings, where they enhance the control and monitoring of production processes. IoT plays a critical role in continuously monitoring key industrial parameters, ensuring consistent and high-quality production. Specifically, IoT-based systems are instrumental in ensuring the reliable performance of motors, thereby boosting productivity. These systems are highly beneficial for industrial applications, including solar power plants, where they contribute to efficient electricity usage. IoT's current capabilities extend beyond mere connectivity; they now link people and devices, paving the way for increased remote control via mobile applications. This development not only simplifies daily life but also empowers businesses by providing deeper insights into operations and customer preferences. Whether in home automation, healthcare, or industrial applications, IoT-enabled control and monitoring of motors significantly enhance operational productivity. By effectively tracking conditions based on predefined parameters, these systems can adjust motor speeds according to specific process requirements, thereby optimizing performance. Moreover, IoT's ability to collect and analyze vast amounts of data from motors allows for predictive maintenance, preventing issues such as motor overloading and improper handling. This leads to safer operations and extends the lifespan of the equipment. The integration of IoT in monitoring systems enables the storage, processing, and real-time analysis of data, providing actionable insights that reduce maintenance costs, improve reliability, optimize motor performance, and enhance the accuracy of failure predictions. Ultimately, the adoption of IoT in industrial environments not only ensures efficient and effective operations but also drives innovation and sustainability in various sectors.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Data Mining Algorithms and Applications
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