Pipeline leak diagnosis combined algorithm based on large data
The invention relates to a pipeline leak diagnosis combined algorithm based on large data. The pipeline leak diagnosis combined algorithm comprises the following steps that, pipeline pressure data, acoustic wave data and flow data are obtained in real time through a pressure transmitter, an acoustic...
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| creator | SHU LILI WANG AIJU CHEN YUHAN LIU PENG ZHOU JINGLIN LI YAPING TANG YANGHAO PENG YUNCHAO LIU TING SHI YAOHUA HUANG GANG ZHUANG JUN SUN TIANZE TIAN XINTAO CAO DANFU YUAN SHEMEI CHEN PENG ZHANG YU ZHANG HUIMIN MENG FANXING |
| description | The invention relates to a pipeline leak diagnosis combined algorithm based on large data. The pipeline leak diagnosis combined algorithm comprises the following steps that, pipeline pressure data, acoustic wave data and flow data are obtained in real time through a pressure transmitter, an acoustic wave sensor and a flowmeter; by connecting the PPS interface of the GPS system with the communication interface, pressure data, acoustic data and flow data are synchronously stored; measurement data are obtained by using negative pressure wave method, acoustic wave method and mass balance method, neural network algorithm is used to carry out leakage diagnosis after pressure data, acoustic wave data and flow data are fused under multiple scales, and multiple algorithm diagnosis results are obtained at the same time; the final diagnosis results are obtained by mode discrimination with structural risk minimization through synthesizing the diagnosis results of the above algorithms; and the location result of the combi |
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The pipeline leak diagnosis combined algorithm comprises the following steps that, pipeline pressure data, acoustic wave data and flow data are obtained in real time through a pressure transmitter, an acoustic wave sensor and a flowmeter; by connecting the PPS interface of the GPS system with the communication interface, pressure data, acoustic data and flow data are synchronously stored; measurement data are obtained by using negative pressure wave method, acoustic wave method and mass balance method, neural network algorithm is used to carry out leakage diagnosis after pressure data, acoustic wave data and flow data are fused under multiple scales, and multiple algorithm diagnosis results are obtained at the same time; the final diagnosis results are obtained by mode discrimination with structural risk minimization through synthesizing the diagnosis results of the above algorithms; and the location result of the combi</description><language>chi ; eng</language><subject>BLASTING ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; HEATING ; LIGHTING ; MECHANICAL ENGINEERING ; PHYSICS ; PIPE-LINE SYSTEMS ; PIPE-LINES ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; STORING OF DISTRIBUTING GASES OR LIQUIDS ; WEAPONS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200214&DB=EPODOC&CC=CN&NR=110792928A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200214&DB=EPODOC&CC=CN&NR=110792928A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SHU LILI</creatorcontrib><creatorcontrib>WANG AIJU</creatorcontrib><creatorcontrib>CHEN YUHAN</creatorcontrib><creatorcontrib>LIU PENG</creatorcontrib><creatorcontrib>ZHOU JINGLIN</creatorcontrib><creatorcontrib>LI YAPING</creatorcontrib><creatorcontrib>TANG YANGHAO</creatorcontrib><creatorcontrib>PENG YUNCHAO</creatorcontrib><creatorcontrib>LIU TING</creatorcontrib><creatorcontrib>SHI YAOHUA</creatorcontrib><creatorcontrib>HUANG GANG</creatorcontrib><creatorcontrib>ZHUANG JUN</creatorcontrib><creatorcontrib>SUN TIANZE</creatorcontrib><creatorcontrib>TIAN XINTAO</creatorcontrib><creatorcontrib>CAO DANFU</creatorcontrib><creatorcontrib>YUAN SHEMEI</creatorcontrib><creatorcontrib>CHEN PENG</creatorcontrib><creatorcontrib>ZHANG YU</creatorcontrib><creatorcontrib>ZHANG HUIMIN</creatorcontrib><creatorcontrib>MENG FANXING</creatorcontrib><title>Pipeline leak diagnosis combined algorithm based on large data</title><description>The invention relates to a pipeline leak diagnosis combined algorithm based on large data. 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The pipeline leak diagnosis combined algorithm comprises the following steps that, pipeline pressure data, acoustic wave data and flow data are obtained in real time through a pressure transmitter, an acoustic wave sensor and a flowmeter; by connecting the PPS interface of the GPS system with the communication interface, pressure data, acoustic data and flow data are synchronously stored; measurement data are obtained by using negative pressure wave method, acoustic wave method and mass balance method, neural network algorithm is used to carry out leakage diagnosis after pressure data, acoustic wave data and flow data are fused under multiple scales, and multiple algorithm diagnosis results are obtained at the same time; the final diagnosis results are obtained by mode discrimination with structural risk minimization through synthesizing the diagnosis results of the above algorithms; and the location result of the combi</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | BLASTING CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS HEATING LIGHTING MECHANICAL ENGINEERING PHYSICS PIPE-LINE SYSTEMS PIPE-LINES PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS STORING OF DISTRIBUTING GASES OR LIQUIDS WEAPONS |
| title | Pipeline leak diagnosis combined algorithm based on large data |
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