Abstract
This paper investigates the sensor-based monitoring feasibility of a bottom-set gillnet through time-domain dynamic simulations for various current and wave conditions and failure scenarios. The dimension and design parameters of the bottom-set gillnet were based on an existing model used in Korea, and the measured environmental data were acquired from the southwest coast of Korea and utilized for the dynamic analysis. For efficient numerical modeling of nets, an equivalent net model which uses fewer line elements was considered, and the projected area, wet weight, and axial stiffness were accordingly adjusted. The hydrodynamic forces on the entire gillnet were estimated using a Morison-force model on the instantaneous positions of the net. The designed gillnet provided excellent stretching performance even under low current velocity. The dynamic responses under wave excitations were not significant in operating conditions; however, significant motions were observed in the fishery-prohibition condition. The proposed monitoring system consisted of an accelerometer, tension sensors, and the global positioning system. Numerous line-failure scenarios were simulated, and the proposed monitoring system could effectively detect a specific problem from the combined patterns of sensor signals by a problem-detection algorithm.
Highlights
In recent decades, marine-environmental pollution from lost fishing gear has been regarded as a serious problem [1]
The underwater dynamic behaviors of a net system must be well understood for a sensor-based monitoring system for fishing gear to be designed
Even though there have been experiments [17,18] and numerical simulations [19,20] investigating the dynamic behaviors of the gillnet, these have only focused on small sections of the gillnet
Summary
Marine-environmental pollution from lost fishing gear has been regarded as a serious problem [1]. The primary purpose of this study was to reliably simulate the dynamic behaviors of the bottom-set gillnet in different current and wave conditions and to develop a cost-effective sensor-based monitoring system that can detect various failures of the bottom-set gillnet. Even though there have been experiments [17,18] and numerical simulations [19,20] investigating the dynamic behaviors of the gillnet, these have only focused on small sections of the gillnet This means that there has been no publication in the open literature which has attempted to investigate the global behaviors of the bottom-set gillnet and the simulations of transient responses with various scenarios of line failures, which could be applied to the development of a sensor-based monitoring system. Using real-time sensor signals, a simple monitoring algorithm was devised and demonstrated as an example of machine-based problem-detection and decision-making processes
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