Article: Submarine pile foundation and cable monitoring based on sensor fusion and big data analysis Journal: International Journal of Reasoning-based Intelligent Systems (IJRIS) 2025 Vol.17 No.7 pp.21 - 32 Abstract: With the development of marine resources and offshore wind power, submarine piles and cables are facing safety challenges such as anchor damage and aging, this paper proposes an intelligent monitoring method based on multi-source sensor fusion and big data analysis. Through the integration of fibre optic sensing, MEMS array real-time collection of cable strain-temperature and pile displacement data, combined with the automatic identification system (AIS) and video surveillance to build a multi-dimensional sensing network, the use of distributed fusion algorithm to establish the strain-temperature correlation threshold and the introduction of deep learning optimisation of positioning. Verification in Hainan networking project and other scenarios show that: the efficiency of cable detection is improved by 40%, the accuracy of pile crack identification reaches 98%, and the three-dimensional positioning error is less than 0.5 metres, which effectively enhances the real-time monitoring of submarine facilities and active early warning capabilities. Inderscience Publishers - linking academia, business and industry through research

Title: Submarine pile foundation and cable monitoring based on sensor fusion and big data analysis

Authors: Jianjian Zhao; Pengcheng Zhao; Jie Sun; Qihui Yan

Addresses: Clean Energy Branch, Huaneng International Power Jiangsu Energy Development Co., Ltd., Nanjing 210000, China ' China Huaneng Group Clean Energy Technology Research Institute Co., Ltd., Beijing 102209, China ' Clean Energy Branch, Huaneng International Power Jiangsu Energy Development Co., Ltd., Nanjing 210000, China ' Clean Energy Branch, Huaneng International Power Jiangsu Energy Development Co., Ltd., Nanjing 210000, China

Abstract: With the development of marine resources and offshore wind power, submarine piles and cables are facing safety challenges such as anchor damage and aging, this paper proposes an intelligent monitoring method based on multi-source sensor fusion and big data analysis. Through the integration of fibre optic sensing, MEMS array real-time collection of cable strain-temperature and pile displacement data, combined with the automatic identification system (AIS) and video surveillance to build a multi-dimensional sensing network, the use of distributed fusion algorithm to establish the strain-temperature correlation threshold and the introduction of deep learning optimisation of positioning. Verification in Hainan networking project and other scenarios show that: the efficiency of cable detection is improved by 40%, the accuracy of pile crack identification reaches 98%, and the three-dimensional positioning error is less than 0.5 metres, which effectively enhances the real-time monitoring of submarine facilities and active early warning capabilities.

Keywords: sensor fusion; big data analytics; fault warning; submarine cable monitoring; intelligent operation and maintenance.

DOI: 10.1504/IJRIS.2025.146671

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.7, pp.21 - 32

Received: 30 Mar 2025
Accepted: 23 Apr 2025
Published online: 11 Jun 2025 *

Title: Submarine pile foundation and cable monitoring based on sensor fusion and big data analysis

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