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Optimization of Stability Testing Methods for Port Gate Systems in a Specific Port
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Abstract
With the ongoing advancement of information technology in the shipping sector, the stability testing of port gate systems has become increasingly critical. Traditional stability testing methods for gate systems suffer from deficiencies in theoretical quantitative analysis, low automation levels, and significant discrepancies between test results and real-world operational performance. In this study, we first employ the Local Outlier Factor (LOF) algorithm to conduct an in-depth analysis of weight datasets from gate processing across various business segments of a port, thereby laying the foundation for automated testing. Furthermore, we innovatively apply dynamics theory to analyze the stability of container gate systems, establishing a flow model that achieves high accuracy in predicting time-dependent variations in gate throughput. This approach bridges the gap between theoretical analysis and practical validation, offering a systematic methodology for enhancing the reliability of port logistics operations.
Keywords
Stability testing; Local Outlier Factor (LOF) algorithm; Dynamics theory; Throughput prediction model
References
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How to cite this paper
Optimization of Stability Testing Methods for Port Gate Systems in a Specific Port
How to cite this paper: Xubin Lin, Minghan Liu, Leizhen Xu, Guangyou Wang, Lin Shi. (2025). Optimization of Stability Testing Methods for Port Gate Systems in a Specific Port. Engineering Advances, 5(3), 112-117.
DOI: http://dx.doi.org/10.26855/ea.2025.07.004
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