Overcoming radio shadow areas in confined spaces using an IoT-based wire-feeder and power-line communication and its application to shipyard safety monitoring systems
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In the field of shipyard welding, the introduction of the Internet of Things technologies for safety monitoring is attracting significant attention. Herein we present a method to connect a closed space and a cloud-based IoT platform using a smart wire feeder equipped with wired and wireless communication functions. The aim of this study is to overcome radio communication obstacles in enclosed spaces such as metal structures and to implement an IoT network using on-site power lines without installing dedicated communication lines. The smart wire feeder is connected to sensor nodes in enclosed spaces via WiFi and accesses the Internet via inductive power-line communication (PLC). We show that sensor data like temperature, humidity, gas concentration, and oxygen level collected in a closed space can be transmitted successfully to the commercial IoT platform ThingSpeak, which is linked with a mobile widget for effective monitoring.
Abstract
In the field of shipyard welding, the introduction of the Internet of Things technologies for safety monitoring is attracting significant attention. Herein we present a method to connect a closed space and a cloud-based IoT platform using a smart wire feeder equipped with wired and wireless communication functions. The aim of this study is to overcome radio communication obstacles in enclosed spaces such as metal structures and to implement an IoT network using on-site power lines without installing dedicated communication lines. The smart wire feeder is connected to sensor nodes in enclosed spaces via WiFi and accesses the Internet via inductive power-line communication (PLC). We show that sensor data like temperature, humidity, gas concentration, and oxygen level collected in a closed space can be transmitted successfully to the commercial IoT platform ThingSpeak, which is linked with a mobile widget for effective monitoring.
참고문헌 (12)
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