船舶轮机管系建造是船舶制造的重要组成部分，传统的轮机管系建造监督管理存在数据错漏、管理费时费力、信息化水平不高等问题。本文在研究智能标签技术以及传感器技术的基础上，提出一种基于智能传感技术的船舶轮机管系建造的监督管理系统，设计了系统的整体架构，包括材料管理子系统、轮机管系测试子系统以及现场管理子系统。对各子系统的功能进行分析，详细介绍了现场管理子系统中人员管理的实现机制。本文提出的船舶轮机管系建造监督管理系统具有一定的应用价值，能够有效提升管道测试的自动化水平。
Marine turbine pipe system construction is an important part of Marine manufacturing. The traditional supervision and management of marine turbine pipe system construction has some problems, such as data error and leakage, management time and effort, and low information level. Based on the research of intelligent label technology and sensor technology, this paper proposes a supervision and management system for marine turbine relationship construction based on intelligent sensor technology. The overall structure of the system is designed, including material management subsystem, Marine pipe system test subsystem and site management subsystem. The function of each subsystem is analyzed, and the realization mechanism of personnel management in field management subsystem is introduced in detail. The ship turbine relation construction supervision and management system proposed in this paper has high application value and can effectively improve the automation level of pipeline testing.
2023,45(22): 218-221 收稿日期：2023-8-10
DOI：10.3404/j.issn.1672-7649.2023.22.043
分类号：U667.65
作者简介：冯书丽(1971-),女,高级工程师/副教授,研究方向为土木建筑工程、工程管理、工程造价等
参考文献：
[1] 李名杨. 浅议船舶轮机管系在建造时的监督管理要点[J]. 中国设备工程, 2023(13): 93-95.
LI Ming-yang. A Brief discussion on the main points of supervision and management of Marine turbine pipe system during construction[J]. China Equipment Engineering, 2023(13): 93-95.
[2] 张志强. 基于无位置传感器BLDCM的新能源汽车电子水泵智能控制系统[J]. 流体测量与控制, 2023, 4(5): 15-18+23.
ZHANG Zhi-qiang. Intelligent Control System of electronic water pump for new energy Vehicles based on position sensorless BLDCM [J]. Fluid Measurement and Control, 2019, 4(5): 15-18+23.
[3] 张伟. 基于力控与多传感器数据融合的智能清洗研究[J]. 铁道建筑技术, 2023(10): 75-78+108.
ZHANG Wei. Research on Intelligent cleaning based on Force control and multi-sensor data fusion[J]. Railway Construction Technology, 2023(10): 75-78+108.
[4] 邹霞. 基于多传感器的智能农田多源信息采集系统[J]. 长江信息通信, 2023, 36(9): 220-222.
ZOU Xia. Intelligent farmland multi-source information acquisition system based on multi-sensor[J]. Yangtze River Information and Communication, 2023, 36(9): 220-222.
