随着船舶设备复杂度的增加，为提高船舶运营安全性和效率，基于数字孪生技术开发发动机燃烧室状态监测和故障检测系统，采用微服务器架构和前后端分离模式开发。前端以HTML、Vue.js搭建用户交互界面，业务逻辑层用Java开发，同时用Blender软件创建船舶柴油发动机的数字孪生映射结构模型，通过WebGL展示其3D模型、运行状态和相关数据。系统集成多种传感器，实时采集发动机温度、压力、振动等数据，运用大数据分析与迁移学习算法进行故障模式识别，结合历史数据与实时信息预测潜在故障并预警。试验验证显示，该系统能有效提升船舶设备的安全性和可靠性，为船舶智能化管理提供技术支撑。
With the increasing complexity of ship equipment, in order to improve the safety and efficiency of ship operations, an engine combustion chamber status monitoring and fault detection system is developed based on digital twin technology, using a microservice architecture and front-end and back-end separation mode. The front-end uses HTML and Vue.js to build the user interaction interface, and the business logic layer is developed in Java. At the same time, Blender software is used to create a digital twin mapping structure model of the marine diesel engine, and its 3D model, operating status, and related data are displayed through WebGL. The system integrates multiple sensors to collect real-time data on engine temperature, pressure, vibration, etc. It uses big data analysis and transfer learning algorithms for fault pattern recognition, combines historical data with real-time information to predict potential faults and issue warnings, and assists crew members in preventive maintenance. Experimental verification shows that the system can effectively improve the safety and reliability of ship equipment, providing technical support for intelligent management of ships.
2025,47(21): 183-189 收稿日期：2024-11-26
DOI：10.3404/j.issn.1672-7649.2025.21.030
分类号：U672
基金项目：国家重点研发计划资助项目（2022YFB4300701）；企事业委托科技项目（H20240252）
作者简介：陆旭昇(1984 -),男,硕士,工程师,研究方向为船舶设计技术
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