基于物联网体系的智能船舶设计

动力系统作为整个船舶最核心的系统，其安全性和可靠性将直接影响船舶的安全航行，而有效的故障监测与诊断技术是保障航行安全的重要手段。
首先，通过分析国内外学者在智能算法与故障诊断方面的研究进展，将船舶动力装置的智能故障诊断分为数据信号获取、数据特征提取、故障识别与预测3个环节，并总结智能算法在船舶动力装置故障诊断中所面临的问题和挑战；然后，结合智能算法的特点，探讨船舶动力装置智能故障诊断技术的未来发展趋势；最后，提议从建立基于云平台的数据监测系统、建立数据库和挖掘监测数据等方面展开深入研究，用以为船舶动力装置智能诊断的工程实践应用奠定基础。

Study of intelligent ship design based on internet of things

As the core system of the entire ship, the safety and reliability of the power system directly affects the safe navigation of the ship, and effective fault monitoring and diagnosis technology is an important means of ensuring navigation safety. First, by analyzing the research progress of intelligent algorithms and fault diagnosis by scholars at home and abroad, the intelligent fault diagnosis of a marine power plant is divided into three parts – data signal acquisition, data feature extraction and fault identification and prediction – and the problems and challenges faced by intelligent algorithms in the fault diagnosis of marine power plants are summarized.
Then, combining the characteristics of intelligent algorithms, the future development trends of intelligent fault diagnosis technology for marine power plants are discussed. Finally, it is proposed to carry out in-depth research on the establishment of a cloud-based data monitoring system, the establishment of a database and the mining of monitoring data, in order to lay the foundation for the practical engineering application of the intelligent diagnosis of marine power plants.