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基于多维传感与云平台技术的配变油位监测系统研究

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传统的配变油位监测方法存在着人力资源投入大、实时性差、数据处理困难等问题,亟待一种新的技术方案来解决这些挑战.本研究的主要目的是设计并实现一个基于多维传感与云平台技术的配变油位监测系统,采用了系统设计和实验验证相结合的研究方法.实验结果表明,智能油位计和云平台系统相较于传统油位计和人工检测系统,在测量准确性、使用寿命和故障响应时间等方面表现更优越.总之,这一系统在实时性、准确性和数据处理能力上都取得了显著的提升,为配变油位监测提供了一种高效、可靠的解决方案.
Research on Distribution Transformer Oil Level Monitoring System Based on Multidimensional Sensing and Cloud Platform Technology
The traditional method of distributing variable oil level monitoring suffers from the problems of large human resources investment,poor real-time performance,and difficult data processing,and a new technical solution is urgently needed to solve these challenges.The main objective of this study is to design and realize a distribution substation oil level monitoring system based on multi-dimensional sensing and cloud platform technology,which adopts a research method combining system design and experimental verifi-cation.The experimental results show that the smart oil level meter and cloud platform system performs superior in terms of measure-ment accuracy,service life,and fault response time compared to the traditional oil level meter and manual detection system.In con-clusion,this system has achieved significant improvement in real-time,accuracy and data processing capability,providing an effi-cient and reliable solution for distribution substation oil level monitoring.

multidimensional sensing technologycloud platformdistribution transformer oil level monitoring systemoil level sensor

谢佳家、董晨丹

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国网浙江新兴科技公司,杭州 310051

杭州国电电力科技发展有限公司,杭州 310012

多维传感技术 云平台 配变油位监测系统 油位传感器

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)