With the development of various marine exploration means, the ability to obtain marine environmental information has also been unprecedentedly improved. Marine data presents the characteristics of strong spatial-temporal correlation and diverse formats, but it brings problems such as complex relationships between data, difficult analysis of heterogeneous data, and low processing efficiency. Therefore, the marine project planning management technology has become the focus of research. This paper studies and analyzes the marine project planning management technology based on machine learning(ML) algorithm. The planning, classification, organizational structure and control principle of offshore engineering project(OEP) are discussed; This paper proposes a ML algorithm, optimizes the project schedule of marine engineering project(MEP) planning management technology through the training algorithm of smooth support vector regression model, and finally introduces each module of the system briefly in combination with the planning management of MEPs, which verifies the feasibility of the ML algorithm, improves the production efficiency of marine engineering, and has a certain reference significance for future development.

Saravanan Kavita. Marine Engineering Project Planning Management Technology based on Machine Learning. Frontiers in Ocean Engineering (2022), Vol. 3, Issue 3: 55-64. https://doi.org/10.38007/FOE.2022.030307.

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