Real-time Alarm, Dynamic GPS Tracking, and Monitoring System for Man Overboard

Sheu, Bor-Horng; Yang, Tzu-Chen; Yang, Tsung-Yeh; Huang, Chu-I; Chen, Wen-Ping

doi:10.18494/sam.2020.2582

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…With the vigorous development of satellite navigation technology, researchers integrate satellite navigation technology into the research of PIBS [8][9][10][11]. Huang designed a lifesaving terminal based on BeiDou positioning and BeiDou short message technology [12].…”

Section: Introductionmentioning

confidence: 99%

LR-MPIBS: A LoRa-Based Maritime Position-Indicating Beacon System

Li,

Dai,

Luan

et al. 2024

Applied Sciences

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Human marine activities are becoming increasingly frequent. The adverse marine environment has led to an increase in man overboard incidents, resulting in significant losses of life and property. After a drowning accident, the accurate location information of the drowning victim can help improve the success rate of rescue. In this paper, we explore a LoRa-based Maritime Position-Indicating Beacon System (LR-MPIBS). A low-power drowning detection circuit is designed in LR-MPIBS to detect drowning accidents in a timely manner after a person falls into the water. The instantaneous high current of the LoRa RF can lower the supply voltage and cause other modules to work abnormally. A fast current transient response circuit is proposed to solve the problem. LR-MPIBS includes a power ripple suppression circuit that can reduce the measurement errors and operational abnormalities caused by power ripple interference. We explore the impedance matching law of LoRa RF circuits through simulation experiments to improve the quality of LoRa communication. A data processing algorithm for personnel drift trajectory is proposed to alleviate the challenges caused by the raw positioning data with large deviations and high communication cost. The experimental results show that LR-MPIBS can automatically start and actively alarm within 3 s after a person falls into the water. The positioning cold start time is less than 50 s. The performance of communication distance is more than 5 km. The endurance of LR-MPIBS is 25 h (with a 30 s communication cycle).

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Section: Introductionmentioning

confidence: 99%

LR-MPIBS: A LoRa-Based Maritime Position-Indicating Beacon System

Li,

Dai,

Luan

et al. 2024

Applied Sciences

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“…These challenges are primarily attributed to the physical limitations of radio wave propagation in water. Sheu et al proposed a real-time MOB alert, GPS tracking, and monitoring system [4]. The system includes wearable sensors, remote LoRa access points, physical electronic fences, and three MOB detection methods: real-time notification via wearables, virtual electronic fence monitoring based on ship size, and instant notification triggered by a surrounding electronic fence.…”

Section: Introductionmentioning

confidence: 99%

CTDR-Net: Channel-Time Dense Residual Network for Detecting Crew Overboard Behavior

Li,

Gao,

et al. 2024

Applied Sciences

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The efficient detection of crew overboard behavior has become an important element in enhancing the ability to respond to marine disasters. It remains challenging due to (1) the lack of effective features making feature extraction difficult and recognition accuracy low and (2) the insufficient computing power resulting in the poor real-time performance of existing algorithms. In this paper, we propose a Channel-Time Dense Residual Network (CTDR-Net) for detecting crew overboard behavior, including a Dense Residual Network (DR-Net) and a Channel-Time Attention Mechanism (CTAM). The DR-Net is proposed to extract features, which employs the convolutional splitting method to improve the extraction ability of sparse features and reduce the number of network parameters. The CTAM is used to enhance the expression ability of channel feature information, and can increase the accuracy of behavior detection more effectively. We use the LeakyReLU activation function to improve the nonlinear modeling ability of the network, which can further enhance the network’s generalization ability. The experiments show that our method has an accuracy of 96.9%, striking a good balance between accuracy and real-time performance.

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“…Applications for smart object tracking in smart cities have received a lot of attention in recent years [15][16][17][18][19][20][21][22][23][24][25]. These can be telemedicine tools, tools for managing landbased and maritime transportation, or even tools for managing population mobility [26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

IoT-based Hybrid Wireless Network for Tourist Boat Tracking towards Smart Cities

Truong

Tran

2023

EAI Endorsed Trans Smart Cities

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Moving and transporting by canoe and boat on rivers and canals is a cultural feature of the Mekong Delta and plays an important role in the economy and society. However, the management and use of equipment to support the monitoring of waterway transport vehicles in this area has yet to receive adequate investment and attention. Given the complicated evolution of the COVID-19 epidemic, it is critical to strengthen oversight of inland waterway management, as well as freight and passenger transportation. This paper presents the design and implementation of an IoT-based support system for managing and monitoring passenger ships and tourism activities in smart cities. This study proposes a hybrid wireless communication network solution that takes advantage of the strengths of LoRa and Zigbee wireless communication technologies, as well as telecommunication networks, to ensure that the system has a wide operating range of several kilometers, low power consumption, and can be deployed in areas where telecommunications are not available. Aside from tracking the journey and managing information about vehicles, drivers, and passengers, the system also aids in the collection of environmental parameters along river routes according to the travel route. An experimental evaluation of the system's operation was carried out for the tourist boat route between two famous tourist sites, Ninh Kieu Key and Cai Rang floating market in Can Tho city, Vietnam.

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Real-time Alarm, Dynamic GPS Tracking, and Monitoring System for Man Overboard

Cited by 8 publications

References 21 publications

LR-MPIBS: A LoRa-Based Maritime Position-Indicating Beacon System

LR-MPIBS: A LoRa-Based Maritime Position-Indicating Beacon System

CTDR-Net: Channel-Time Dense Residual Network for Detecting Crew Overboard Behavior

IoT-based Hybrid Wireless Network for Tourist Boat Tracking towards Smart Cities

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