Development of a Smart IoT Safety Platform for Preventing Accidents in High-Risk Industrial Sites

In the modern industrial society, activities across various industrial sectors play a crucial role in driving economic growth and technological advancement. However, these activities inevitably involve risks to the safety and health of workers. Accidents and injuries at industrial sites not only threaten the lives and well-being of workers but also lead to decreased productivity, legal issues, and financial losses for companies. Among different industries, construction and manufacturing sectors account for the highest proportion of industrial accidents. These accidents often occur due to workers' carelessness and lack of awareness. This paper proposes a smart IoT safety platform to prevent safety accidents in construction and manufacturing sites. The smart IoT safety platform consists of IoT devices, network devices, and a control server. The IoT devices are designed to monitor various types of safety incidents, such as worker monitoring, entrapment accidents, gas leaks, collapses, and falls, using wearable or site-installed devices equipped with sensors like laser, IMU, gas, and cameras. The network devices include BLE Mesh installed on IoT devices and a LoRa Mesh network to transmit data to the control server. The control server collects and monitors data from the site and includes control functions to prevent safety accidents. The development of the smart IoT safety platform aims to create a safer work environment by preventing accidents and establishing a safety culture across the industry. This integration of advanced IoT technology in safety management is expected to significantly contribute to reducing industrial accidents and enhancing overall workplace safety.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1145/3702468.3702481
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
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article

Development of a Smart IoT Safety Platform for Preventing Accidents in High-Risk Industrial Sites

Jiyoung Yoon, Yeongjae Park, Cheolhwan Kim
IoT and GPS-based Vehicle Safety Systems
article

Development of a Smart IoT Safety Platform for Preventing Accidents in High-Risk Industrial Sites

Jiyoung Yoon, Yeongjae Park, Cheolhwan Kim
article en

Abstract

In the modern industrial society, activities across various industrial sectors play a crucial role in driving economic growth and technological advancement. However, these activities inevitably involve risks to the safety and health of workers. Accidents and injuries at industrial sites not only threaten the lives and well-being of workers but also lead to decreased productivity, legal issues, and financial losses for companies. Among different industries, construction and manufacturing sectors account for the highest proportion of industrial accidents. These accidents often occur due to workers' carelessness and lack of awareness. This paper proposes a smart IoT safety platform to prevent safety accidents in construction and manufacturing sites. The smart IoT safety platform consists of IoT devices, network devices, and a control server. The IoT devices are designed to monitor various types of safety incidents, such as worker monitoring, entrapment accidents, gas leaks, collapses, and falls, using wearable or site-installed devices equipped with sensors like laser, IMU, gas, and cameras. The network devices include BLE Mesh installed on IoT devices and a LoRa Mesh network to transmit data to the control server. The control server collects and monitors data from the site and includes control functions to prevent safety accidents. The development of the smart IoT safety platform aims to create a safer work environment by preventing accidents and establishing a safety culture across the industry. This integration of advanced IoT technology in safety management is expected to significantly contribute to reducing industrial accidents and enhancing overall workplace safety.

Tech University of Korea (KR), Kyungpook National University (KR)
Openalex Percentile: Top 76%
IoT and GPS-based Vehicle Safety Systems
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