变电站油泄漏三级监控系统的研制与应用

Abstract
Figure/Table
References
Related Citation (3)

Download: PDF (7061 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract At present, due to the insufficient capacity of the main transformer accident oil sump, the direct drainage of rainwater pipelines, and lack of manual oil leakage monitoring and control, the oil leakage of the equipment in substation cannot be detected and effectively controlled in time, resulting in that the oil leakage incident is very easy to turn into a bad environmental pollution incident. In response to this hidden danger, the Internet of Things, communication technology and smart sensor technology are widely used to construct a three-level monitoring system for oil leakage in substation. The system has the advantages of simple and reliable technology, high integration of business and popularization. An intelligent oil leakage monitoring device with a bionic fin stabilizing structure is developed. The device can monitor the transformer accident oil drainage system, rainwater system and operating environment in multi-dimensional real-time. And it adopts real-time linkage of automatic butterfly valve and monitoring device to realize intelligent control of oil leakage in substation. It can prevent the occurrence of environmental protection incidents caused by the oil leakage from the substation equipment.

Key words： oil leakage in substation three-level monitoring bionic fin stabilization structure environmental protection

Received: 10 September 2021

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	YAN Cheng
	CHENG Chuan
	LEI Baohui
	WANG Liang
	LU Kaijie

Cite this article:

YAN Cheng,CHENG Chuan,LEI Baohui等. Development and application of three-level monitoring system for oil leakage in substation[J]. Electrical Engineering, 2022, 23(3): 70-76.

URL:

http://dqjs.cesmedia.cn/EN/Y2022/V23/I3/70

[1] 王鹏. 变压器冷却器漏油处理与原因分析[J]. 电力安全技术, 2019, 21(7): 28-30.
[2] 曹喜库. 变压器渗漏油故障检修[J]. 黑龙江科学, 2016, 7(18): 94-95.
[3] 国家电网公司. 国家电网公司变电运维管理规定[Z]. 2017.
[4] MOHAPATRA S, MAJHI B, PATNAIK S.Scalable architecture for ubiquitous healthcare using sensor cloud platform[J]. International Journal of Infor-mation and Communication Technology, 2014, 6(2): 156-174.
[5] WANG Ke, NIRMALATHAS A, LIM C, et al.High-speed optical wireless communication system for indoor applications[J]. IEEE Photonics Technology Letters, 2011, 23(8): 519-521.
[6] 雷怡琴, 孙兆龙, 叶志浩, 等. 电力系统负荷非侵入式监测方法研究[J]. 电工技术学报, 2021, 36(11): 123-126.
[7] 胥清华, 李强. CAN总线发展与其他总线的比较[J].电气技术, 2011, 12(7): 46-49.
[8] 许金红. 基于PLC的光纤通信技术在变压器远程监控中的应用[J]. 电气技术, 2021, 22(1): 66-72.
[9] 张会新, 余俊斌, 严帅, 等. 基于RS 485总线的前端数字化数据采集系统[J]. 电气技术, 2018, 19(6): 142-147.
[10] 田军. 在线油水检测技术在轻污油罐切水的应用试验[J]. 石化技术, 2018, 25(8): 28-29.
[11] MINCHEW B.Determining the mixing of oil and sea water using polarimetric synthetic aperture radar[J]. Geophysical Research Letters, 2012, 39(16): 16-23.
[12] 肖祥武, 王丰, 王晓辉, 等. 面向工业互联网的智慧电厂仿生体系架构及信息物理系统[J]. 电工技术学报, 2020, 35(23): 4898-4911.
[13] 吴正兴, 喻俊志, 苏宗帅, 等. 仿生机器鱼S形起动的控制与实现[J]. 自动化学报, 2013, 11(8): 35-40.
[14] SUN Yanqing, ZHOU Yu, ZHAO Qingwei, et al.Acoustic feature optimization for emotion affected speech recognition[C]//2009 International Conference on Information Engineering and Computer Science, Wuhan, 2010: 2417-2430.