[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 Ming1; YIN Yifei1; YIN Xiwei2; WANG Jiake2; LI Ning2; LIU Zhiqiang2; LIU 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 monitoring; trend 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:

[1] 石光辉,齐卫雪,陈鹏,等.负压波与小波分析定位供热管道泄漏[J].振动与冲击.2021,40(14):212-218,286.

[2] 赵瑞祥.基于流量信号的管道泄漏检测定位方法研究[D].北京:北京化工大学,2019.
[3] 梅兆池，杨绪运，刘哲等.基于声发射技术的管道泄漏检测与定位方法研究[J].管道技术与设备,2021,(05): 17-21．
[4] 李帅永,毛维培,程振华,等.基于VMD和K-SVD字典学习的供水管道泄漏振动信号压缩感知方法[J].仪器仪表学报,2020,41(03):49-60.
[5] 赵亚,王强,宋俊俊,等.基于分布式光纤测温的水管泄漏检测与定位[J].激光与红外,2018,48(07):892-895.?div>[6] 张智望,王强,谷小红,等.基于分布式光纤的埋地自来水管多点泄漏定位方法分析[J].应用光学, 2020, 41(01): 228-234.
[7] TU T , KIM J M. The Enhancement of leak detection performance for water pipelines through the renovation of training data[J]. Sensors, 2020, 20(9):1-16.
[8] 王晓敏，骆正山，赵乐新.基于多层感知器神经网络和 统计小波特征的管道泄漏诊断[J].安全与环境学报, 2021,21(04):1483-1489.
[9] 王学渊,陈志刚,钟新荣.基于粒子群优化的SVM供水管道泄漏诊断方法[J].现代电子技术,2018,41(07): 156-164.
[10]吴莹.基于管道模型的供水管道瞬态泄漏检测方法的研究[D].吉林:吉林大学，2021.
[11] HUANG J, YAN X. Related and independent variable fault detection based on KPCA and SVDD [J].Journal of Process Control,2016,39(10):88-99.?/div>
[12]王学渊,陈志刚,钟新荣,等.基于随机森林的管网漏失诊断方法[J].计算机应用,2018,38(S1):20-23．
[13]吴鹏飞,单奇,罗新河.卡尔曼滤波在电动滑台位置实时补偿中的应用[J].仪表技术与传感器,2020,06:110-113, 117.
[14] NENTWICH C, REINHART G. A combined anomaly and trend detection system for industrial Robot gear condition monitoring [J].?Applied Sciences, 2021,11(21):1-20.

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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