實驗室簡介

海洋科技與工程實驗室（Marine Technology and Engineering Laboratory, MATELAB）專注於結合理論與實務，致力於推動海洋工程與技術的發展。實驗室研究範圍廣泛，以離岸風電工程和智慧海洋載具領域為主，涵蓋數值模擬之結構力學分析、計算流體力學應用 (CFD)、無人載具設計開發、深度學習演算法之載具控制、智能水下影像辨識系統等技術，目標是為永續海洋開發提供技術支持，通過跨學科的研究，解決現代海洋工程中的挑戰，並提供應對極端環境、能源轉型及海洋資源開發的可行解決方案。

本研究室的研究方向可分為以下3種：

1.  計算力學分析應用

A.    水動力分析，如螺槳性能模擬計算、載具運動模你、潛艇動力模型模擬分析等

B.    離岸風電相關工程需求分析，如風機之空氣動力性能分析、繫泊系統受海況影響分析、風機基礎受海浪影響分析等

2.  智慧載具開發

A.    自主水下載具 (Autonomous Underwater Vehicle, AUV)

B.    無人水面載具 (Unmanned Surface Vehicle, USV)

C.    遠端遙控載具 (Remotely Operated Vehicle, ROV)

3.  AI 演算法應用

A.    智能影像辨識技術，應用於各式目標物尋找和追蹤

B.    深度強化學習之載具控制系統

C.    數位孿生 (Digital Twin) 系統建置，應用於數位海洋環境建置及載具實驗模擬

Marine Technology and Engineering Laboratory (MATELAB) focuses on combining theory and practice, and is committed to promoting the development of marine engineering and technology. The laboratory has a wide range of research, focusing on the fields of offshore wind power engineering and smart ocean vehicles, covering structural mechanics analysis of numerical simulations, computational fluid dynamics applications (CFD), unmanned vehicle design and development, and deep learning algorithm vehicles Control, intelligent underwater image recognition systems and other technologies aim to provide technical support for sustainable ocean development, solve challenges in modern ocean engineering through interdisciplinary research, and provide feasible solutions to extreme environments, energy transformation and ocean resource development. solution.

The research directions of this laboratory can be divided into the following three types:

1.    Application of computational mechanics analysis

A.    Hydrodynamic analysis, such as propeller performance simulation calculation, vehicle motion model, submarine power model simulation analysis, etc.

B.    Analysis of offshore wind power related engineering requirements, such as analysis of aerodynamic performance of wind turbines, analysis of the impact of sea conditions on the mooring system, analysis of the impact of wind turbine foundations on waves, etc.

2.    Smart vehicle development

A.    Autonomous Underwater Vehicle (AUV)

B.    Unmanned Surface Vehicle (USV)

C.    Remotely Operated Vehicle (ROV)

3.    AI algorithm application

A.    Intelligent image recognition technology is used to find and track various targets.

B.    Deep reinforcement learning vehicle control system

C.    Digital Twin system construction, applied to digital marine environment construction and vehicle experimental simulation