Muutke küpsiste eelistusi

Autonomous Decentralized Systems and their Applications in Transport and Infrastructure [Kõva köide]

Edited by (Waseda University, Green Computing Systems Research Organization, Japan), Edited by (East Japan Railway Company, Research and Development Centre of JR East Group, Japan)
  • Formaat: Hardback, 360 pages, kõrgus x laius: 234x156 mm
  • Sari: Transportation
  • Ilmumisaeg: 04-Feb-2019
  • Kirjastus: Institution of Engineering and Technology
  • ISBN-10: 1785612816
  • ISBN-13: 9781785612817
Teised raamatud teemal:
Autonomous Decentralized Systems and their Applications in Transport and InfrastructureSuurem pilt
  • Formaat: Hardback, 360 pages, kõrgus x laius: 234x156 mm
  • Sari: Transportation
  • Ilmumisaeg: 04-Feb-2019
  • Kirjastus: Institution of Engineering and Technology
  • ISBN-10: 1785612816
  • ISBN-13: 9781785612817
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781785612817.html
Märksõnad:
In a large and complex system, such as a railway network, it is often not an option to stop operation at any time. Even if a part of the system fails, is being repaired or modified, the system has to keep functioning. This leads to many requirements for on-line expansion, on-line maintenance, and fault-tolerance. Dynamic changes demand next-generation control, information and service systems to be based on adaptive, reliable and reusable technologies and applications. Such systems are expected to have the characteristics of living systems composed of largely autonomous and decentralized components. Hence they are called Autonomous Decentralized Systems (ADS).



This book describes the concept, architecture and technologies of ADS and their applications in intelligent control, information and service systems, with a focus on transport. ADS is explained first using the example of the Japanese railway transport system; applications in other fields and countries follow. The goal is to describe the ADS concept and the technologies, applications and businesses on the basis of a consistent concept for achieving intelligent systems such as for manufacturing, transportation service, air traffic, robotic and distributed services.
Preface xv
Kinji Mori
About the Editors xix
Part 1 Introduction
1(30)
Overview
1(4)
1 Autonomous decentralized systems and its paradigm shift
5(26)
Kinji Mori
Xiaodong Lu
Abstract
5(1)
1.1 Background and requirements
5(2)
1.2 The concept of ADS
7(3)
1.2.1 Biological analogy
7(1)
1.2.2 Concept
8(2)
1.3 System architecture
10(5)
1.3.1 Data field architecture
10(1)
1.3.2 Content code communication
11(1)
1.3.3 Data-driven mechanism
11(2)
1.3.4 Software productivity
13(1)
1.3.5 Agility
14(1)
1.3.6 Mobility
14(1)
1.4 Paradigm shift of ADS
15(12)
1.4.1 Paradigm shift from operation to service
15(10)
1.4.2 Paradigm shift to society and economy
25(2)
1.5 Conclusions
27(4)
References
28(3)
Part 2 ADS applications in intelligent infrastructure
31(124)
Overview
31(2)
2 Autonomous decentralized safety critical system
33(26)
Takashi Kunifuji
Abstract
33(1)
2.1 Introduction
33(1)
2.2 Railway control system
34(2)
2.2.1 System structure
34(1)
2.2.2 Issues in conventional railway control system
35(1)
2.3 Signal control system utilized x-by-wire technology
36(8)
2.3.1 Motivation for system change
36(1)
2.3.2 System configuration
37(2)
2.3.3 Functions for shorten construction period
39(5)
2.4 System configuration technology of autonomous decentralized railway control system
44(10)
2.4.1 Architecture of autonomous decentralized railway control system
44(1)
2.4.2 Heterogeneous real-time autonomously integrating system
45(6)
2.4.3 Safety technologies in autonomous decentralized system
51(3)
2.5 Future study
54(2)
2.5.1 Expansion for future railway control system
54(1)
2.5.2 Example of flexible route control
54(2)
2.6 Conclusion
56(3)
References
57(2)
3 Train control system
59(26)
Masayuki Matsumoto
Abstract
59(1)
3.1 Introduction
59(1)
3.2 Safety and stability of a railway operation
59(3)
3.3 Development of train control system
62(11)
3.3.1 Outline of development history
62(5)
3.3.2 Automatic train control (ATC) system
67(3)
3.3.3 Radio-based train control system
70(3)
3.4 ADS technology
73(2)
3.4.1 Functions of analog ATC system and definition of testing
73(1)
3.4.2 Functions of the D-ATC system and definition of testing
74(1)
3.5 Assurance technology
75(6)
3.5.1 Modeling of system replacement
75(1)
3.5.2 Testing assurance
76(2)
3.5.3 Application of assurance technology to D-ATC system
78(3)
3.6 A chain of a concept, technology, and a system
81(4)
References
83(2)
4 ATOS (autonomous decentralized transport operation control system)
85(32)
Kazuo Kera
Satoru Hori
Takashi Kunifuji
Abstract
85(1)
4.1 Introduction [ 1--3]
86(1)
4.2 Outline of ATOS (autonomous decentralized transport operation control system) [ 4,6]
87(8)
4.2.1 Issue of transport operation control system
87(1)
4.2.2 Concept of transport operation control system [ 4,6]
88(1)
4.2.3 Overview of autonomous decentralized Tokyo area transport operation control system
89(6)
4.3 Advancement of ADS technology
95(8)
4.3.1 Online testing
95(8)
4.3.2 Self-correction [ 6]
103(1)
4.4 Step-by-step system construction technology for large transport operation control system
103(11)
4.4.1 Outline of large transport operation control system
103(1)
4.4.2 System construction issues and assurance
104(1)
4.4.3 Application of assurance technology [ 7,8]
105(4)
4.4.4 Application results of the step-by-step construction technology
109(4)
4.4.5 Summary
113(1)
4.5 Conclusion
114(3)
References
115(2)
5 ADS fault tolerant property in air-traffic control systems
117(16)
Tadashi Koga
Abstract
117(1)
5.1 Introduction/Backgrounds
117(1)
5.2 Air-traffic control radar system
118(2)
5.2.1 SSR Mode S
118(1)
5.2.2 Mode S surveillance protocol
118(2)
5.3 Emerging problems
120(1)
5.3.1 RF congestion problem
120(1)
5.3.2 Interrogator identifier shortage problem
120(1)
5.4 Autonomous decentralized surveillance system
121(1)
5.4.1 Autonomous ground site
122(1)
5.4.2 Data field
122(1)
5.5 Autonomous continuous target tracking technology
122(3)
5.5.1 Autonomous data sharing
122(1)
5.5.2 Autonomous judgement
122(2)
5.5.3 Autonomous agreement
124(1)
5.5.4 Autonomous boundary target handover
124(1)
5.6 Simulation
125(3)
5.6.1 Model
125(1)
5.6.2 Simulation results
125(3)
5.7 Practical experiments
128(3)
5.7.1 Network structure
128(1)
5.7.2 Experiment results
129(2)
5.8 Conclusion
131(2)
References
131(2)
6 An agile manufacturing model based on autonomous agents
133(22)
Leo van Moergestel
Abstract
133(1)
6.1 Introduction
133(1)
6.2 Manufacturing concepts and technologies
134(2)
6.2.1 Production concepts
134(2)
6.2.2 Push-driven versus pull-driven manufacturing
136(1)
6.2.3 Lean manufacturing
136(1)
6.2.4 Agile manufacturing
136(1)
6.3 Standard production automation
136(5)
6.3.1 Standard automation software
137(1)
6.3.2 Properties of standard automation
137(2)
6.3.3 Batch switches and new products
139(1)
6.3.4 Summary
140(1)
6.4 Equiplet-based production
141(4)
6.4.1 Properties of equiplet-based production
142(1)
6.4.2 Enablers for the equiplet-based production
143(2)
6.5 Software infrastructure of the manufacturing system
145(2)
6.5.1 Agents
145(1)
6.5.2 Multiagent production system
145(2)
6.5.3 Human interaction
147(1)
6.6 The transport system
147(3)
6.6.1 Implementation
148(2)
6.7 Benefits beyond production, the life-cycle agent
150(2)
6.7.1 Design and production
150(1)
6.7.2 Distribution
151(1)
6.7.3 Use
151(1)
6.7.4 Recycling
152(1)
6.8 Summary
152(3)
References
153(1)
Conclusion of part 2
154(1)
Part 3 Developing ADS technologies and applications leading to innovation in lifestyle
155(90)
Overview
155(4)
7 Railway ticketing services (Suica)
159(22)
Akio Shiibashi
Abstract
159(1)
7.1 Introduction
159(1)
7.2 System structure
160(2)
7.3 Autonomous cooperative processing technology
162(2)
7.3.1 Technology
163(1)
7.3.2 Evaluation
164(1)
7.4 Autonomous decentralised data-consistency technology
164(10)
7.4.1 Technology
166(4)
7.4.2 Evaluation
170(4)
7.5 Best designing of the system
174(3)
7.5.1 System modelling
174(1)
7.5.2 Evaluation
175(2)
7.6 Conclusion
177(4)
References
179(2)
8 Robot as a Service and its visual programming environment
181(20)
Yinong Chen
Gennaro De Luca
Abstract
181(1)
8.1 Introduction
181(3)
8.2 System overview
184(1)
8.3 VIPLE: Visual IoT/Robotics Programming Environment
185(3)
8.4 RaaS design and implementation in different platforms
188(6)
8.5 Robotics application development
194(1)
8.6 Conclusions
195(6)
Acknowledgements
198(1)
References
198(3)
9 "JR EAST App" for customers' smartphones based on ICT
201(14)
Takayuki Matsumoto
Takeshi Nakagawa
Abstract
201(1)
9.1 Introduction
201(2)
9.2 Features of the app
203(1)
9.3 Content
204(3)
9.3.1 Content related to railways
204(2)
9.3.2 Content related to marketing
206(1)
9.4 System configuration
207(2)
9.5 Use situations of the app
209(2)
9.5.1 The number of users
209(1)
9.5.2 Attribute of users
209(1)
9.5.3 Access logs
210(1)
9.6 Questionnaire survey
211(1)
9.6.1 Attribute of respondents
211(1)
9.6.2 The level of satisfaction/intention of continuous use
211(1)
9.6.3 Relationship between the level of overall satisfaction with the app and the level of satisfaction with each type of content
211(1)
9.7 Comparison with the English version of this app
212(1)
9.8 Conclusion
213(1)
9.9 Future work
213(2)
References
214(1)
10 Autonomous decentralised systems and society
215(20)
Colin Harrison
Jeffrey Johnson
Abstract
215(1)
10.1 Introduction
215(2)
10.2 Systems thinking, complex systems, and global systems science
217(1)
10.3 Centralisation in industry
218(3)
10.3.1 Emergence
219(1)
10.3.2 Evolution
220(1)
10.4 Autonomy in social systems
221(3)
10.4.1 The formation dynamics of autonomous distributed systems in society
223(1)
10.4.2 Social ADS in large organisations
224(1)
10.5 Social control systems
224(3)
10.5.1 ICT and Social ADS
225(2)
10.6 Case studies of social and enterprise systems in transition
227(4)
10.6.1 Telecommunications
227(1)
10.6.2 Local government
228(1)
10.6.3 National government
229(2)
10.7 Conclusions
231(4)
Acknowledgements
232(1)
References
232(3)
11 Internet of Simulation: building smart autonomous decentralised systems
235(10)
David McKee
Stephen Clement
Jie Xu
Abstract
235(1)
11.1 Internet of Simulation characteristics
235(6)
11.1.1 Simulation as a Service
236(2)
11.1.2 Workflow as a Service
238(3)
11.1.3 Relationship to I oT
241(1)
11.2 Engineering applications
241(1)
11.2.1 Design and virtual prototyping
241(1)
11.2.2 Industry 4.0 (Industrial IoT)
242(1)
11.3 Artificial intelligence and machine learning
242(1)
11.4 Conclusion
243(2)
Acknowledgements
243(1)
References
244(1)
Part 4 Concept-oriented business and services (business model) new business model inspired by ADS
245(78)
Overview
245(2)
12 Autonomous decentralized service-oriented architecture
247(12)
Carlos Perez-Leguizamo
Abstract
247(1)
12.1 Introduction
247(1)
12.2 Autonomous decentralized systems requirements
248(1)
12.3 Service-oriented architecture requirements
249(1)
12.4 Concept and architecture based on biological analogy
250(4)
12.4.1 Complex systems
250(2)
12.4.2 Cellular signalling (software-based DF)
252(1)
12.4.3 Cell-oriented design (autonomous processing entity)
253(1)
12.5 ADSOA technologies
254(1)
12.5.1 Fault tolerance
254(1)
12.5.2 Self-recovery
255(1)
12.5.3 Online services management
255(1)
12.6 Summary
255(1)
12.7 The future
256(3)
Acknowledgements
257(1)
References
258(1)
13 The role of blockchain in autonomous distributed business services
259(14)
Dong McDavid
Abstract
259(1)
13.1 A question to pursue
259(1)
13.2 Why this matters?
260(1)
13.3 What is blockchain?
261(1)
13.4 Problems addressed by blockchain technology
262(1)
13.5 Implementations of blockchain
263(1)
13.6 Classifications of blockchain implementations
263(2)
13.7 Validation and consensus options
265(1)
13.8 Blockchain and environs
265(2)
13.9 Problem domains
267(1)
13.1 Distributed autonomous organizations
268(1)
13.1 The state of play
268(1)
13.1 Conclusion
269(4)
References
270(3)
14 Change and expansion of business structure using ADS concept in railway market
273(10)
Yuichi Yagawa
Hiromitsu Kato
Shuichiro Sakikawa
Gaku Suzuki
Abstract
273(1)
14.1 Changes in value structure
273(2)
14.1.1 Changes in value structure for railway infrastructure
273(2)
14.2 Efforts for global expansion
275(2)
14.2.1 Features of railway market in the United Kingdom
275(1)
14.2.2 Expansion approach for entering the UK railway market
276(1)
14.2.3 Initial obstacles in the UK railway market
277(1)
14.3 Expansion to railway maintenance business
277(1)
14.3.1 Overview of the Class 395 project
277(1)
14.3.2 Evaluation of rolling-stock maintenance business
278(1)
14.4 Expansion to finance business
278(2)
14.4.1 Overview of the IEP project
278(1)
14.4.2 Application of PPP scheme
279(1)
14.4.3 Business expansion in the United Kingdom
280(1)
14.5 Summary and future developments
280(3)
Reference
281(2)
15 Sustainable business through alliance based concept model of management & technology of railway infrastructure
283(28)
Masaki Ogata
Abstract
283(1)
15.1 Introduction
283(1)
15.2 Characteristics of JR East
284(4)
15.2.1 Outline of JR East
284(2)
15.2.2 The quantity changing the quality and the essence
286(2)
15.3 Railway infrastructure business and technology concept model
288(5)
15.3.1 Essence of JR East
288(1)
15.3.2 What is `infrastructure'?
288(1)
15.3.3 What is `service'?
288(2)
15.3.4 MTOMI model
290(1)
15.3.5 Advantage of MTOMI model
291(1)
15.3.6 The MTOMI model from the viewpoint of computer and communication system
292(1)
15.4 Alliances based on MTOMI model
293(1)
15.4.1 Requirements for good alliance (What is alliance?)
293(1)
15.4.2 Classification of alliance (three models of alliance)
293(1)
15.5 Three types of business alliance based upon MTOMI model
294(7)
15.5.1 ATOS (Inside Business; InB model)
294(1)
15.5.2 Suica (`Super Urban Intelligent CArd')
295(2)
15.5.3 JR East Train Info App
297(4)
15.6 Future business mode
301(7)
15.6.1 Innovation concepts of public transportation
302(2)
15.6.2 Information business
304(3)
15.6.3 Global business
307(1)
15.7 Conclusion
308(3)
References
308(3)
16 Smart cities, IOT, Industrie 4.0/Industrial Internet, cyber-physical systems: concepts, burdens and business models
311(12)
Radu Popescu-Zeletin
Abstract
311(1)
16.1 Introduction
311(1)
16.2 Cyber-physical systems
312(2)
16.3 Internet of Things
314(1)
16.4 Industrie 4.0 and Industrial Internet
315(4)
16.5 Smart cities
319(2)
16.6 Conclusions
321(2)
References
321(2)
Conclusion 323(4)
Kinji Mori
Index 327
Kinji Mori is a Distinguished Researcher at the Green Computing Systems Research Organization, Waseda University, Japan. Dr. Mori has made fundamental contributions to the field of reliable and maintainable distributed computer systems. In 1977, he proposed a completely new system concept named Autonomous Decentralized Systems (ADS). Dr. Mori contributes to ADS architecture construction, technologies invention, product designing, business planning, implementation, de-facto standardization and foundation of international conferences and his achievements also include the patents of their technologies registered and applied in the world; foundation of several IEEE sponsored international conferences e.g., International Symposium on Autonomous Decentralized Systems (ISADS); and papers in archived journals, books, and international conferences.



Takashi Kunifuji is Principal Chief Researcher of the Research and Development Centre of JR East Group at East Japan Railway Company, Japan. He has been engaged in research and development of railway signal control systems since 1998, and worked in the maintenance, design, and construction of signalling systems from 1992 to 1998. He received his Ph.D. degree in Engineering from the Tokyo Institute of Technology, Japan in 2011.