000 04177nam a22006255i 4500
001 978-981-19-9899-7
003 DE-He213
005 20240207153801.0
007 cr nn 008mamaa
008 231212s2023 si | s |||| 0|eng d
020 _a9789811998997
_9978-981-19-9899-7
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
245 1 0 _aAdvanced Intelligent Pipeline Management Technology
_h[electronic resource] /
_cedited by Huai Su, Qi Liao, Haoran Zhang, Enrico Zio.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aVII, 200 p. 88 illus., 71 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
505 0 _aChapter 1 - Overview for pipeline scheduling -- Chapter 2 - Advanced Modelling and algorithm for pipeline scheduling -- Chapter 3 - Demand Side Management in smart pipeline networks -- Chapter 4 - Operation condition monitoring for pipeline -- Chapter 5 - Operation condition prediction for pipeline -- Chapter 6 - Intelligent inspection for pipeline system -- Chapter 7 - Probabilistic Safety Analysis in complex pipeline systems -- Chapter 8 - Risk pre-warning method for pipeline systems -- Chapter 9 - Fault detection and diagnose method for pressurization devices -- Chapter 10 - Intelligent leakage detection for pipelines -- Chapter 11 - Smart emergency management of pipeline system -- Chapter 12 - Simulation of natural gas pipeline system.
520 _aThis book summarizes the advanced intelligent pipeline management technologies. The text discusses the main challenges of how to define and reinvent data-driven intelligent pipeline systems by studying scheduling-operation- safety management systems. Additionally, within an all-around intelligent pipeline system technology development framework, this book characterizes the scientific problems of intelligent pipeline system services among different processes, such as scheduling, demand-side management, operation condition monitoring, safety analysis, fault detection, etc. This book also introduces the existing positive and successful intelligent pipeline system projects that can be identified in the studied domain, and how can they be best applied for practical success. The text is supported by informative illustrations and case studies so that practitioners can use the book as a toolbox to improve understanding in applying the novel technologies into intelligent pipeline system management and development.
541 _fUABC ;
_cPerpetuidad
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aBuildings
_xDesign and construction.
650 0 _aUnderground construction.
650 0 _aArtificial intelligence.
650 1 4 _aControl, Robotics, Automation.
650 2 4 _aBuilding Construction and Design.
650 2 4 _aUnderground Engineering and Tunnel Construction.
650 2 4 _aIntelligence Infrastructure.
700 1 _aSu, Huai.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLiao, Qi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZhang, Haoran.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZio, Enrico.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811998980
776 0 8 _iPrinted edition:
_z9789811999000
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-19-9899-7
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
999 _c263490
_d263489