Li | Pipeline Spatial Data Modeling and Pipeline WebGIS | E-Book | sack.de
E-Book

E-Book, Englisch, 154 Seiten, eBook

Li Pipeline Spatial Data Modeling and Pipeline WebGIS

Digital Oil and Gas Pipeline: Research and Practice
1. Auflage 2020
ISBN: 978-3-030-24240-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

Digital Oil and Gas Pipeline: Research and Practice

E-Book, Englisch, 154 Seiten, eBook

ISBN: 978-3-030-24240-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



This monograph, which is the first book focusing on "Digital Oil & Gas Pipeline", introduces the author’s long-term research and practice on this topic. It introduces the latest research on the core technologies of the Digital Oil & Gas Pipeline, such as WebGIS, GIS Web Services, pipeline supervisory control and data acquisition (SCADA), OLE for Process Control, networked virtual reality, and Extensible 3D. The keys to the Digital Oil & Gas Pipeline, including pipeline spatial data model, pipeline WebGIS, integrity of pipeline SCADA and pipeline GIS, pipeline networked virtual reality system, are also elaborated. The knowledge and experience delivered by this monograph will provide a useful reference for readers from the industries in Oil & Gas Storage and Transportation, pipeline automation, GIS, Virtual Reality, and related fields.

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Preface

Chapter 1. Introduction      

1.1 The advent of Digital Pipeline          

1.2 The relation between Digital Pipeline and Digital Earth        

1.2.1 Digital Earth   

1.2.2 The application levels of Digital Earth and Digital Pipeline   

1.3 Digital Pipeline         

1.3.1 The concept of Digital Pipeline          

1.3.2 The role and significance of Digital Pipeline 

1.3.3 The key technologies of Digital Pipeline        

1.3.4 The composed business systems of Digital Pipeline  

1.3.5 The construction contents of Digital Pipeline 

1.4 The application status of Digital Pipeline in the world          

1.5 The deficiencies of current Digital Pipeline construction      

1.6 The main research contents of this monograph         

Chapter 2. Digital Pipeline system architecture

2.1 The goal of the Digital Pipeline system         

2.2 The design principle of the Digital Pipeline system   

2.3 Digital Pipeline system function modules design      

2.4 Digital Pipeline system network architecture design  

Chapter 3. Pipeline Spatial Data Model

3.1 Overview of spatial data model        

3.1.1 Spatial data    

3.1.2 Spatial data model     

3.1.3 The development of spatial data model         

3.1.4 Geodatabase data model        

3.2 Linear referencing system and dynamic segment      

3.2.1 Linear referencing system      

3.2.2 Linear referencing system components          

3.2.3 Dynamic segment technology

3.2.4 Dynamic segment algorithm  

3.2.5 Application examples of linear referencing system and dynamic segment    

3.3 The comparison of pipeline data models      

3.3.1 Integrated Spatial Analysis Techniques          

3.3.2 Pipeline Open Data Standard 

3.3.3 ArcGIS Pipeline Data Model  

3.3.4 PODS and APDM      

3.4 Pipeline Spatial Data Model design and implementation       

3.4.1 The design principle of PSDM           

3.4.2 PSDM’ linear referencing network     

3.4.3 PSDM’ element classification

3.4.4 PSDM’ hierarchy       

3.4.5 PSDM’s object model architecture     

3.4.6 PSDM’ abstract class 

3.4.7 PSDM’s core class     

3.4.8 PSDM’ entity class     

3.4.9 PSDM’ fundamental geography element class           

3.4.10 PSDM’ domain and value    

3.4.11 PSDM’ topology      

3.4.12 PSDM’ support for the pipeline real-time operating data     

3.4.13 Implementing PSDM as a Geodatabase        

3.4.14 Difference of implementing PSDM’ class as element class and event table 

3.4.15 Complete lists of PSDM’ abstract class        

3.4.16 Complete lists of PSDM’ core class 

3.4.17 Complete lists of PSDM’ entity class           

Chapter 4. ArcGIS Server and ArcObjects

4.1 Pipeline GIS development methods  

4.2 Component GIS        

4.2.1 The concept and ideas of component GIS     

4.2.2 The features of component GIS         

4.2.3 The most common used component model??COM           

4.3 A COM-based GIS components??ArcObjects       

4.3.1 Overview of ArcObjects        

4.3.2 Functionalities of ArcObjects

4.3.3 ArcObjects’ components       

4.4 Using ArcObjects in the network environment via ArcGIS Server    

4.4.1 ArcGIS Server and its programming interfaces          

4.4.2 Using ArcObjects for network applications via ArcGIS Server          

Chapter 5. Pipeline WebGIS          

5.1 WebGIS and its implementation methods         

5.1.1 Overview of WebGIS    

5.1.2 The features and advantages of WebGIS           

5.1.3 Traditional WebGIS implementation methods   

5.1.4 The limitations of traditional WebGIS implementation methods

5.2 Web Services-based WebGIS implementation  

5.2.1 The concept of Web Services    

5.2.2 The features of Web Services    

5.2.3 The architecture of Web Services          

5.2.4 The key technologies of Web Services

5.2.5 The usage modes of Web Services

5.2.6 The significance of Web Services for the evolution of GIS       

5.3 Pipeline WebGIS implementation using Web Services and Component GIS     

5.3.1 Serialization of ArcObjects component objects 

5.3.2 Managing pipeline data via ArcGIS Server        

5.3.3 Implementation and application of pipeline GIS Web Services 

Chapter 6. Summary           

References     


Zhenpei Li has a master degree in Mechanical Engineering, and a Ph.D degree in Control science and Engineering, both from Northwestern Polytechnical University, Xi’an, China. He became a lecturer at the School of Civil & Architecture, Southwest Petroleum University, Chengdu, China since 2011 after getting his Ph.D degree. He is currently an Associate Professor at the School of Civil & Architecture, Southwest Petroleum University. From June 2014 to July 2016, he was a Mitacs Elevate Postdoctoral Fellow at Department of Geography, University of Western Ontario, London, Canada. He has more than ten years of experience in Oil & Gas pipeline research and application, especially in the field of pipeline data model. His research focuses on Geospatial technology and its application in Oil & Gas pipeline, Pipeline Integrity Management, pipeline spatial data modeling, pipeline leak detecting and locating, 3DGIS, WebGIS, Web3D and Networked Virtual Reality.



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