EFFICIENT ELECTRONIC EQUIPMENT LOAD MONITORING IN FERRY SHIP PASSENGER ROOMS WITH LORA WIRELESS TELEMETRY

Abstract

This study presents a novel approach to efficiently monitor electronic equipment loads in ferry ship passenger rooms using Long Range Wireless Communication (LoRA) telemetry technology. The system enables real-time data collection, allowing ship operators to manage and optimize energy consumption effectively. By leveraging LoRA's long-range capabilities, the solution offers a cost-effective and reliable means of monitoring various electrical devices, enhancing passenger safety, comfort, and energy efficiency. This research showcases the potential of LoRA wireless telemetry in maritime applications, particularly in optimizing electronic equipment loads in passenger environments.

Efficient energy management and monitoring in maritime transportation play a crucial role in reducing operational costs and environmental impact. This study presents an innovative approach to monitor electronic equipment loads in passenger rooms aboard ferry ships using Low-Power Wide-Area Network (LoRaWAN) wireless telemetry technology.

The proposed system consists of IoT sensors equipped with LoRa transceivers strategically placed within passenger rooms to collect real-time data on the power consumption of electronic devices such as air conditioning units, lighting, and charging ports. These sensors communicate wirelessly with a central monitoring and control unit, providing ship operators with valuable insights into energy usage patterns.

Key features of this system include low power consumption, long-range communication capabilities, and scalability. By employing LoRaWAN technology, the system achieves reliable data transmission over extended distances, making it suitable for large vessels like ferry ships. Furthermore, the low-power nature of LoRa enables extended battery life for the sensors, reducing maintenance efforts.

The collected data is processed and analyzed to optimize energy usage and improve overall operational efficiency. Operators can remotely monitor and control electronic equipment loads, allowing for immediate adjustments in response to changing passenger demands or energy efficiency goals. Additionally, historical data analysis facilitates predictive maintenance, reducing downtime and repair costs.

This study showcases a successful implementation of the LoRa-based electronic equipment load monitoring system in a real-world ferry ship environment. Preliminary results demonstrate significant reductions in energy consumption and improved operational efficiency. Furthermore, the system contributes to sustainability efforts by lowering greenhouse gas emissions associated with maritime transportation.