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Advanced intelligent pipeline management technology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced intelligent pipeline management technologyedited by Huai Su ... [et al.].
其他作者:	Su, Huai.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	vii, 200 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Pipelines.
電子資源:	https://doi.org/10.1007/978-981-19-9899-7
ISBN:	9789811998997$q(electronic bk.)

Advanced intelligent pipeline management technology
Advanced intelligent pipeline management technology[electronic resource] /edited by Huai Su ... [et al.]. - Singapore :Springer Nature Singapore :2023. - vii, 200 p. :ill., digital ;24 cm.

Chapter 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.

This 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.

ISBN: 9789811998997$q(electronic bk.)

Standard No.: 10.1007/978-981-19-9899-7doiSubjects--Topical Terms:

189814
Pipelines.

LC Class. No.: TJ930

Dewey Class. No.: 621.8672

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505 0 $a Chapter 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 $a This 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.
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