Main Article Content
Abstract
Traditional monitoring solutions for airbag launching of large ships rely on mechanical pressure gauges with limited spatial coverage, slow response times (from several hundred milliseconds to a few seconds), and an inability to monitor dynamically changing attitude parameters during the launching procedure. This paper introduces a WSN-based real-time monitoring solution that combines IMUs and pressure sensors installed at strategic positions on the ship hull and airbags. The solution uses the hierarchical Zigbee mesh with edge computing nodes and the TDMA protocol to deliver real-time, high-speed communication with low end-to-end latency, even under challenging shipyard conditions. The Kalman filter fuses multi-sensor data to provide comprehensive monitoring of pitch, roll, heave displacement, velocity, and acceleration. In-field validation tests have been performed on cargo ships with 1500-2000 DWT capacities during the actual launching process at cooperating shipyards. The system achieves a sampling rate of 100 Hz for inertial data and 50 Hz for pressure data, end-to-end latency under 60 ms (95%), and measurement accuracy of ±0.3° for attitude angles and ±1.5% full scale for pressure measurement. Comparative analysis showed that the proposed system outperforms traditional mechanical gauges with a 75% reduction in spatial blind spots (60%→15% hull coverage), 20–100× faster temporal resolution (50–100 Hz vs. 1–5 Hz), and an 85% reduction in installation time (3.0 h vs. 19.5 h).
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References
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- Z. Si, W. Wei, W. Feng, B. Li. Development and Construction of Intelligent Security Monitoring System, In2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) (2020) 335-338.
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- E. Shayo, P. Mafole, A. Mwambela, A survey on time division multiple access scheduling algorithms for industrial networks, SN Applied Sciences 2(12) (2020) 2140.
- S. Sharma, K. Gupta, D. Gupta, S. Rani, G. Dhiman, An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces, CMES-Computer Modeling in Engineering & Sciences 138(3) (2024).
- H. Qin, H. Chen, N. Li, Y. Deng, G. Yang, Y. Peng, Delay-aware Dual-Interface Gateway Activation for Energy-Efficient Data Collection in IoT, IEEE Transactions on Green Communications and Networking (2024).
- R.E. Kalman, A new approach to linear filtering and prediction problems, Journal of Basic Engineering 82(1) (1960) 35-45.
- I. Pathirannahalage, V. Jayasooriya, J. Samarabandu, A. Subasinghe, A comprehensive analysis of real-time video anomaly detection methods for human and vehicular movement, Multimedia Tools and Applications 84(10) (2025) 7519-7564.
- V.M. Shkolnikov, Hybrid Ship Hulls: Engineering Design Rationales, Butterworth-Heinemann2014. ISBN:9780128103050
- C. Patel, N. Garg, S. Panigrahi, V. Kumar, Signal Processing in Real-Life Structural Health Monitoring: MATLAB and Python Implementation, Damage Detection and Structural Health Monitoring of Concrete and Masonry Structures: Novel Techniques and Applications, Springer2025, pp. 273-294.
- L. Volenyuk, A. Rashkovskyi, Ship stability analysis during launching from longitudinal sloping slipway by pneumatic airbags, International Shipbuilding Progress 64(1-2) (2017) 41-50.
- H.N. Li, D.S. Li, G.B. Song, Recent applications of fiber optic sensors to health monitoring in civil engineering, Engineering Structures 26(11) (2004) 1647-1657.
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References
G. Melazzo Filho, P.I.D. Lameira, R. dos Santos Saavedra, T.C.G.M. Filgueiras, L.C. Campos Filho, Comparative study for naval repairs using longitudinal slipway or airbags, Acta Scientiarum. Technology 43 (2021) e51796.
N. Mandlekar, M. Joshi, B.S. Butola, A review on specialty elastomers based potential inflatable structures and applications, Advanced Industrial and Engineering Polymer Research 5(1) (2022) 33-45.
J. Liu, L. Yu, Numerical investigation on nonlinear contact coupling during ship launching process by an array of airbags, Ocean Engineering 255 (2022) 111481.
A. Timothy, M.A. Akintunde, A.R.K. Inkum, Enhancing Safety and Reliability of Marine Airbags for Ship Launching: Failure Analysis and Mitigation Strategies, International Journal of Engineering Research & Technology 12(9) (2023) 1-7.
A.R. Prabowo, T. Tuswan, R. Ridwan, Advanced development of sensors’ roles in maritime-based industry and research: From field monitoring to high-risk phenomenon measurement, Applied Sciences 11(9) (2021) 3954.
B.-G. Paik, S.-R. Cho, B.-J. Park, D. Lee, B.-D. Bae, J.-H. Yun, Characteristics of wireless sensor network for full-scale ship application, Journal of marine science and technology 14(1) (2009) 115-126.
C. Han, X. Hu, D. Sun, The influence of ship roll and pitch on absolute measurement of ship heave signals and its correction method, Ocean Engineering 322 (2025) 120468.
M. Abdulkarem, K. Samsudin, F.Z. Rokhani, M.F. A Rasid, Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction, Structural health monitoring 19(3) (2020) 693-735.
A.R. Ahmad, R. Meligy, S. Mekid, Development of a 4-Axis Force Sensor for Center of Gravity Estimation Using Tree-Based Machine Learning Models, IEEE Sensors Journal (2025).
A. Alshuhail, A. Alshahrani, H. Mahgoub, M. Ghaleb, A.A. Darem, N.O. Aljehane, M. Alotaibi, F. Alzahrani, Machine edge-aware IoT framework for real-time health monitoring: Sensor fusion and AI-driven emergency response in decentralized networks, Alexandria Engineering Journal 129 (2025) 1349-1361.
X. Zhou, Y. Yang, Y. Xu, C. Li, H. Ren, A study on the error characteristics and compensation algorithm for strain gauge in ship structure monitoring systems, International Conference on Offshore Mechanics and Arctic Engineering, American Society of Mechanical Engineers, 2022, p. V002T02A022.
H. Murayama, D. Wada, H. Igawa, Structural health monitoring by using fiber-optic distributed strain sensors with high spatial resolution, Photonic Sensors 3(4) (2013) 355-376.
Z. Szczerba, P. Szczerba, K. Szczerba, Sensitivity of piezoresistive pressure sensors to acceleration, Energies 15(2) (2022) 493.
W. Shafik, An overview of computational modeling and simulations in wireless communication systems, Computational Modeling and Simulation of Advanced Wireless Communication Systems (2024) 8-40.
S. Aslam, M.P. Michaelides, H. Herodotou, Internet of challenges, IEEE Internet of Things journal 7(10) (2020) 9714-9727.
K. Ramkumar, B. Singh, L. Pan, A. Sharma, Sensor Technologies and Wireless Communications in Industry 5.0: A Solution for Smart Manufacturing, CRC Press2025.
Z. Si, W. Wei, W. Feng, B. Li. Development and Construction of Intelligent Security Monitoring System, In2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) (2020) 335-338.
R.W. Coutinho, A. Boukerche, L.F. Vieira, A.A. Loureiro, Underwater wireless sensor networks: A new challenge for topology control–based systems, ACM Computing Surveys (CSUR) 51(1) (2018) 1-36.
K. Guleria, A.K. Verma, Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks, Wireless Networks 25(3) (2019) 1159-1183.
F. Gravenhorst, Rowing Performance Analysis Using Motion Sensors, ETH Zurich, 2015. https://doi.org/10.3929/ethz-a-010406961
A. Adeoye, A Framework for the Self-Configuration of Wireless Mesh Networks, (2009). http://hdl.handle.net/10012/4461
S. Tennina, A. Koubâa, R. Daidone, M. Alves, P. Jurčík, R. Severino, M. Tiloca, J.-H. Hauer, N. Pereira, G. Dini, IEEE 802.15. 4 and ZigBee as enabling technologies for low-power wireless systems with quality-of-service constraints, Springer Science & Business Media2013.
S. Zhao, Y. Yuan, N. Mei, H. Yuan, Design and implementation of a hydraulic balancing system based on low-power ZigBee Ad-Hoc network electric household control valves, Energy 313 (2024) 133867.
H.-C. Lee, K.-H. Ke, Monitoring of large-area IoT sensors using a LoRa wireless mesh network system: Design and evaluation, IEEE Transactions on Instrumentation and Measurement 67(9) (2018) 2177-2187.
E. Shayo, P. Mafole, A. Mwambela, A survey on time division multiple access scheduling algorithms for industrial networks, SN Applied Sciences 2(12) (2020) 2140.
S. Sharma, K. Gupta, D. Gupta, S. Rani, G. Dhiman, An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces, CMES-Computer Modeling in Engineering & Sciences 138(3) (2024).
H. Qin, H. Chen, N. Li, Y. Deng, G. Yang, Y. Peng, Delay-aware Dual-Interface Gateway Activation for Energy-Efficient Data Collection in IoT, IEEE Transactions on Green Communications and Networking (2024).
R.E. Kalman, A new approach to linear filtering and prediction problems, Journal of Basic Engineering 82(1) (1960) 35-45.
I. Pathirannahalage, V. Jayasooriya, J. Samarabandu, A. Subasinghe, A comprehensive analysis of real-time video anomaly detection methods for human and vehicular movement, Multimedia Tools and Applications 84(10) (2025) 7519-7564.
V.M. Shkolnikov, Hybrid Ship Hulls: Engineering Design Rationales, Butterworth-Heinemann2014. ISBN:9780128103050
C. Patel, N. Garg, S. Panigrahi, V. Kumar, Signal Processing in Real-Life Structural Health Monitoring: MATLAB and Python Implementation, Damage Detection and Structural Health Monitoring of Concrete and Masonry Structures: Novel Techniques and Applications, Springer2025, pp. 273-294.
L. Volenyuk, A. Rashkovskyi, Ship stability analysis during launching from longitudinal sloping slipway by pneumatic airbags, International Shipbuilding Progress 64(1-2) (2017) 41-50.
H.N. Li, D.S. Li, G.B. Song, Recent applications of fiber optic sensors to health monitoring in civil engineering, Engineering Structures 26(11) (2004) 1647-1657.
J.P. Lynch, A summary review of wireless sensors and sensor networks for structural health monitoring, The Shock and Vibration Digest 38(2) (2006) 91-128.