Article(id=1223278135383294242, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230835, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1682179200000, receivedDateStr=2023-04-23, revisedDate=1685462400000, revisedDateStr=2023-05-31, acceptedDate=null, acceptedDateStr=null, onlineDate=1769581834883, onlineDateStr=2026-01-28, pubDate=1698163200000, pubDateStr=2023-10-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769581834883, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769581834883, creator=13701087609, updateTime=1769581834883, updator=13701087609, issue=Issue{id=1223278131956551924, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='10', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769581834067, creator=13701087609, updateTime=1769584342407, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223288652869030422, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223288652869030423, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223278131956551924, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=111, endPage=114, ext={EN=ArticleExt(id=1223278136129880403, articleId=1223278135383294242, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=A Frequency Domain Analysis Method for Node Pressure in Water Supply Pipe Network Based on FFT, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

When there is a leakage point in the water supply pipe network, it is not easy to be detected due to its concealment, and the long-term leakage accumulation will not only cause waste of water resources, but also lead to the problem of poor production and marketing of water supply. The frequency domain analysis was introduced into the water supply industry, and a node pressure of water supply pipe network based on FFT was proposed. Firstly, the specific method is called EPANET by writing a program to optimize the operation simulation of water supply pipe network, and then solve the optimal pump and valve scheduling scheme back into the simulated leakage point working condition. With the help of Fourier transform to convert the time-varying node pressure into an amplitude signal, the pipeline node pressure was analyzed from the perspective of the frequency domain. Therefore, the length range between the leakage point and the starting node of the pipeline was judged. Through verification and compared with the previous pressure based analysis of the leakage point, the proposed method can judge whether the pipeline is normal operation and the location range of the leakage point from the perspective of frequency domain.

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供水管网出现漏损点时,由于其隐蔽性不易被察觉,长时间的漏损积累不仅造成水资源浪费,也会出现供水产销差的问题。将频域分析法引入到供水行业,提出一种基于FFT变换的供水管网节点压力频域分析方法,首先通过编写程序调用EPANET对供水管网进行运行优化模拟,然后将求解的最优泵阀调度方案反代入模拟漏损点工况内,借助傅里叶变换将随时间变化的节点压力转换为振幅信号,从频域的角度分析管道节点压力,从而判断漏损点距离管道起始节点的长度范围。通过验证,与以往基于压力分析漏损点相比,该方法可从频域信号视角来判断管道是否正常运行及漏损点位置范围,有利于供水行业智慧化。

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何立新(1970-),男,博士、教授、博导,研究方向为智慧水利,E-mail:
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朱兆晶(1997-),女,硕士研究生,研究方向为智慧水利、供水管网,E-mail:

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一种基于FFT变换的供水管网节点压力频域分析方法
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朱兆晶 1a, 1b , 何立新 1a, 1b , 张峥 1a, 1b , 刘子航 2 , 范一飞 1a , 李志会 1a
水电能源科学 | 水利水电工程 2023,41(10): 111-114
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水电能源科学 | 水利水电工程 2023, 41(10): 111-114
一种基于FFT变换的供水管网节点压力频域分析方法
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朱兆晶1a, 1b , 何立新1a, 1b , 张峥1a, 1b, 刘子航2, 范一飞1a, 李志会1a
作者信息
  • 1.a.河北工程大学水利水电学院,河北 邯郸 056038
  • 1.b.河北工程大学河北省智慧水利重点实验室,河北 邯郸 056038
  • 2.承德建龙特殊钢有限公司生产设备处,河北 承德 067300
  • 朱兆晶(1997-),女,硕士研究生,研究方向为智慧水利、供水管网,E-mail:

通讯作者:

何立新(1970-),男,博士、教授、博导,研究方向为智慧水利,E-mail:
A Frequency Domain Analysis Method for Node Pressure in Water Supply Pipe Network Based on FFT
Zhao-jing ZHU1a, 1b , Li-xin HE1a, 1b , Zheng ZHANG1a, 1b, Zi-hang LIU2, Yi-fei FAN1a, Zhi-hui LI1a
Affiliations
  • 1a.College of Water Resources and Hydropower, Hebei University of Engineering, Handan 056038, China
  • 1b.Hebei Key Laboratory of Intelligent Water Conservancy, Hebei University of Engineering, Handan 056038, China
  • 2.Production Equipment Department of Chengde Jianlong Special Steel Co. Ltd., Chengde 067300, China
出版时间: 2023-10-25 doi: 10.20040/j.cnki.1000-7709.2023.20230835
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供水管网出现漏损点时,由于其隐蔽性不易被察觉,长时间的漏损积累不仅造成水资源浪费,也会出现供水产销差的问题。将频域分析法引入到供水行业,提出一种基于FFT变换的供水管网节点压力频域分析方法,首先通过编写程序调用EPANET对供水管网进行运行优化模拟,然后将求解的最优泵阀调度方案反代入模拟漏损点工况内,借助傅里叶变换将随时间变化的节点压力转换为振幅信号,从频域的角度分析管道节点压力,从而判断漏损点距离管道起始节点的长度范围。通过验证,与以往基于压力分析漏损点相比,该方法可从频域信号视角来判断管道是否正常运行及漏损点位置范围,有利于供水行业智慧化。

频域分析  /  漏损模拟  /  傅里叶变换  /  振幅

When there is a leakage point in the water supply pipe network, it is not easy to be detected due to its concealment, and the long-term leakage accumulation will not only cause waste of water resources, but also lead to the problem of poor production and marketing of water supply. The frequency domain analysis was introduced into the water supply industry, and a node pressure of water supply pipe network based on FFT was proposed. Firstly, the specific method is called EPANET by writing a program to optimize the operation simulation of water supply pipe network, and then solve the optimal pump and valve scheduling scheme back into the simulated leakage point working condition. With the help of Fourier transform to convert the time-varying node pressure into an amplitude signal, the pipeline node pressure was analyzed from the perspective of the frequency domain. Therefore, the length range between the leakage point and the starting node of the pipeline was judged. Through verification and compared with the previous pressure based analysis of the leakage point, the proposed method can judge whether the pipeline is normal operation and the location range of the leakage point from the perspective of frequency domain.

frequency domain analysis  /  leakage simulation  /  Fourier transform  /  amplitude
朱兆晶, 何立新, 张峥, 刘子航, 范一飞, 李志会. 一种基于FFT变换的供水管网节点压力频域分析方法. 水电能源科学, 2023 , 41 (10) : 111 -114 . DOI: 10.20040/j.cnki.1000-7709.2023.20230835
Zhao-jing ZHU, Li-xin HE, Zheng ZHANG, Zi-hang LIU, Yi-fei FAN, Zhi-hui LI. A Frequency Domain Analysis Method for Node Pressure in Water Supply Pipe Network Based on FFT[J]. Water Resources and Power, 2023 , 41 (10) : 111 -114 . DOI: 10.20040/j.cnki.1000-7709.2023.20230835
  • 国家自然科学基金联合基金重点项目(U20A20316)
  • 河北省创新研究群体项目(E2020402074)
2023年第41卷第10期
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doi: 10.20040/j.cnki.1000-7709.2023.20230835
  • 接收时间:2023-04-23
  • 首发时间:2026-01-28
  • 出版时间:2023-10-25
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  • 收稿日期:2023-04-23
  • 修回日期:2023-05-31
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国家自然科学基金联合基金重点项目(U20A20316)
河北省创新研究群体项目(E2020402074)
作者信息
    1.a.河北工程大学水利水电学院,河北 邯郸 056038
    1.b.河北工程大学河北省智慧水利重点实验室,河北 邯郸 056038
    2.承德建龙特殊钢有限公司生产设备处,河北 承德 067300

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何立新(1970-),男,博士、教授、博导,研究方向为智慧水利,E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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