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Predictive maintenance and safety operation by device integration on the QUEST large experimental device
Makoto Hasegawa1, Kazuaki Hanada1, Hiroshi Idei1
1Research Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, Japan.
Heliyon
|July 3, 2020
Summary
The Internet of Things (IoT) enables predictive maintenance for large experimental facilities. This approach monitors equipment health, like power line deterioration on the QUEST tokamak, preventing costly downtime and ensuring research continuity.
Area of Science:
- Engineering
- Computer Science
- Physics
Background:
- Technological advancements enable device networking, creating the Internet of Things (IoT).
- Predictive maintenance is a key application of IoT, crucial for large-scale experimental facilities.
- Sudden equipment failures disrupt research, highlighting the need for proactive maintenance strategies.
Purpose of the Study:
- To demonstrate the application of IoT for predictive maintenance in a large experimental setting.
- To evaluate the effectiveness of monitoring power line deterioration through contact resistance measurements.
- To showcase integrated IoT systems for enhanced operational safety.
Main Methods:
- Implementing a network of sensors and devices for data acquisition.
- Utilizing contact resistance measurements (micro-ohm order) for power line health diagnosis.
- Developing interconnected systems for real-time information sharing and safety alerts.
Main Results:
- Successful predictive maintenance of power line deterioration on the Q-shu University experiment with steady-state spherical tokamak (QUEST) device.
- Accurate diagnosis of power line health by evaluating micro-ohm level contact resistances.
- Implementation of IoT-based safety mechanisms, including sound alarms and access control.
Conclusions:
- IoT-based predictive maintenance is effective in preventing equipment failures in large experimental facilities.
- Contact resistance monitoring provides a reliable method for diagnosing power line health.
- Integrated IoT systems enhance operational safety and efficiency in research environments.
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