|本期目录/Table of Contents|

[1]刘 明,尹艺菲,尹习伟,等.基于云平台的换流站水管泄漏监测系统设计[J].工业仪表与自动化装置,2022,(06):29-35.[doi:10.19950/j.cnki.cn61-1121/th.2022.06.006]
 LIU Ming,YIN Yifei,YIN Xiwei,et al.Design of leakage monitoring system of water pipe in converter station based on cloud platform[J].Industrial Instrumentation & Automation,2022,(06):29-35.[doi:10.19950/j.cnki.cn61-1121/th.2022.06.006]
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基于云平台的换流站水管泄漏监测系统设计

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2022年06期
页码:
29-35
栏目:
出版日期:
2022-12-15

文章信息/Info

Title:
Design of leakage monitoring system of water pipe in converter station based on cloud platform
文章编号:
1000-0682(2022)06-0000-00
作者:
刘 明1尹艺菲1尹习伟2王佳科2李 宁2刘志强2李 准1
1.山东科技大学 电气信息系, 山东 济南 250031;
2.国网山东省电力公司 建设公司, 山东 济南 250000
Author(s):
LIU Ming1YIN Yifei1YIN Xiwei2WANG Jiake2LI Ning2LIU Zhiqiang2LIU Ming1
1.Department of Electrical and Information Technology, Shandong University of Science and Technology,Shandong Jinan 250031,China;?div>2.Construction Company of State Grid Shandong Electric Power Company,Shandong Jinan 250000,China
关键词:
云平台埋地水管泄漏监测趋势分析
Keywords:
cloud platform buried water pipe leakage monitoringtrend analysis
分类号:
TP242
DOI:
10.19950/j.cnki.cn61-1121/th.2022.06.006
文献标志码:
A
摘要:
针对换流站地下水管泄漏监测定位的实际需求,设计了一种融云平台数据分析、嵌入式系统及无线通信网络等技术于一体的智能化换流站埋地水管泄漏监测定位系统。该系统利用底层的数据采集单元获取换流站埋地水管周边的阻抗信息,经卡尔曼滤波后,通过数据汇集传输单元将信息上传云平台。云端的后台软件基于Mann-Kendall检验法对获取的时序数据序列进行数据突变及趋势分析,从而实现对水管的泄漏检测与定位。模拟实验测试结果表明,该系统可以很好地实现对传感器所在泄漏区域的检测测与定位,有较强的实用价值和很好的应用前景。
Abstract:
According to the actual needs of underground water pipe leakage monitoring and positioning in converter station, an intelligent buried water pipe leakage monitoring and positioning system integrating cloud platform data analysis, embedded system and wireless communication network is designed .The bottom data acquisition unit is used in the system to obtain the impedance information around the buried water pipe of the converter station. By Kalman filtering, the information is uploaded to the cloud platform through the data collection and transmission unit.Based on Mann-Kendall test method, the cloud background software analyzes the data mutation and trend of the obtained time series data sequence, so as to realize the leakage detection and location of water pipes.The simulation test results show that the system can well detect and locate the leakage area where the sensor is located, and has strong practical value and good application prospect.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2022-05-11
作者简介:刘明(1972),男,汉族,山东新泰人,博士,副教授,研究方向为智能测控系统、电力系统自动化。
更新日期/Last Update: 1900-01-01