舰船机械设备的正常使用对于保证舰船作战能力至关重要，在海洋高盐分、高湿度等复杂环境中使用的机械设备经常会出现状态异常，传统舰船机械设备的维护和保养大多依赖人工经验，难以满足当代舰船机械设备的维护要求。本文提出一种基于原子光谱分析技术的舰船机械设备状态监测系统，阐述了光谱分析技术实现的原理，对元素浓度的测量过程进行分析，详细论述了舰船机械设备状态监测系统各模块的基本功能，对3个轴承状态进行监测，发现得到的结果和实际情况完全相符，证明本文构建的基于原子光谱分析技术的舰船机械设备状态监控系统可实现预定功能。
The normal use of ship machinery and equipment is very important to ensure the combat capability of ships, and the machinery and equipment used in complex environments such as high salt content and high humidity in the ocean often appear abnormal, and the maintenance and maintenance of traditional ship machinery and equipment mostly rely on manual experience, which is difficult to meet the maintenance requirements of contemporary ship machinery and equipment. In this paper, a condition monitoring system of ship machinery and equipment based on atomic spectral analysis technology is proposed, the principle of spectral analysis technology is expounded, the measurement process of element concentration is analyzed, the basic functions of each module of the ship machinery and equipment condition monitoring system are discussed in detail, and the status of the three bearings is monitored, and the results obtained are completely consistent with the actual situation, which proves that the ship machinery and equipment condition monitoring system based on atomic spectroscopy analysis technology constructed in this paper can achieve the predetermined function.
2024,46(5): 48-51 收稿日期：2023-10-30
DOI：10.3404/j.issn.1672-7649.2024.05.009
分类号：U667.65
作者简介：沈彬彬(1989-),女,硕士,讲师,研究方向为机械测试及机电控制
参考文献：
[1] 姜旭峰, 张源, 季峰, 等. 航空发动机直读铁谱状态监测技术研究[J]. 润滑油, 2009, 24(4): 56-59.
JIANG Xu-feng, ZHANG Yuan, JI Feng, et al. Research on condition monitoring technology of aero engine direct reading ferrometer[J]. Lubric Oil, 2009, 24(4): 56-59.
[2] 杜柱石, 何雷. 直读铁谱在舰船机械状态监测上的应用[J]. 装备制造技术, 2012(7): 202-204.
DU Zhu-shi, HE Lei. Application of direct reading ferrometer spectroscopy in condition monitoring of ship machinery[J]. Equipment Manufacturing Technology, 2012(7): 202-204.
[3] 李海啸. 关于在线热处理技术优化钢材理化性能的分析与应用[J]. 中国金属通报, 2022(12): 177-179.
LI Hai-xiao. Analysis and application of online heat treatment technology to optimize physical and chemical properties of steel[J]. China Metal Bulletin, 2022(12): 177-179.
[4] 吴瑜, 韩华翔, 张朝骅, 等. 船机油液非铁磁性金属颗粒区分检测方法研究[J]. 仪表技术与传感器, 2021(8): 87-91.
WU Yu, HAN Hua-xiang, ZHANG Chao-hua, et al. Study on identification and detection method of non-ferromagnetic metal particles in marine engine fluid[J]. Instrument Technology and Sensors, 2021(8): 87-91.
[5] 武伟超, 吴佳珊, 马舒凡. 油液检测在机械设备中的应用[J]. 建筑机械, 2023(S1): 62-64.
WU Wei-chao, WU Jia-shan, MA Shu-fan. Application of oil detection in mechanical equipment[J]. Construction Machinery, 2023(S1): 62-64.
[6] 庞博. 光谱油液检测技术在平朔矿山的应用[J]. 设备管理与维修, 2018(1): 27-29.
PANG Bo. Application of spectral oil detection technology in Pingshuo mine[J]. Equipment Management and Maintenance, 2018(1): 27-29.
[7] 袁朝辉. 基于原子发射光谱的油液磨粒检测技术[J]. 设备管理与维修, 2013(S1): 66-68.
YUAN Chao-hui. Oil abrasive particle detection technology based on atomic emission spectroscopy[J]. Equipment Management and Maintenance, 2013(S1): 66-68.
