Design of Cloud Computing and Microservice-Based Urban Rail Transit Integrated Supervisory Control System Plus

Abstract

In traditional metro weak current systems, subsystems built by different manufacturers are physically separated, and devices are redundant while data are isolated. This causes low resource use, high maintenance cost, long customization cycles, and high interface complexity. In this paper, based on an analysis of the problems in traditional metro weak current systems, a novel cloud and microservice-based urban rail transit integrated supervisory control system (ISCS) named ISCS Plus is proposed. The integration mode of each subsystem is determined by analyzing safety requirements, real-time performance, and business characteristics. An infrastructure platform is designed to share resources and isolate applications based on cloud computing technology, while traditional subsystems are decomposed as microservices and merged into different applications. Finally, the entire architecture of ISCS Plus is established and its features are discussed. ISCS Plus plays a key role in the systematic, intelligent, and automatic solution for metro weak current systems and supports the development of the world's leading metro weak current systems.

Keywords

Metro / Urban rail transit / Integrated supervisory control system (ISCS) / Cloud computing / Microservice / Safety / Realtime

References

[1] Du F, Chen H, Yin X (2017) Application of multi-SCADA version integrated monitoring system in rail transit. Urban Express Rail Transit (05 vo 30):99–102+113

[2] Ip WH, Lee KC, Yung KL SCADA in an integrated maintenance management system. J Qual Maint Eng, 2000, 6(1): 6-19

[3] Kane B (2000) User friendly SCADA using technology and experience

[4] Liu X, Lin H. Comprehensive monitoring system for urban rail transit, 2017, Chengdu: Southwest Jiaotong University Press

[5] China Urban Rail Transit Smart Urban Rail Development Outline [EB/OL] (2020). https://www.camet.org.cn/xhfb/4683. Accessed 28 June 2020.

[6] Ministry of Housing and Urban-Rural Development of the People's Republic of China (2018) GB/T50636-2018 engineering standards for urban rail transit integrated monitoring system. China Building Industry Press

[7] HOLLYSYS (2018) MACS-SCADA[EB/OL]

[8] Helishi (2020) The central nerve of the forging industry-Helisi-News Center-China Industrial Network [EB/OL]. https://www.gongkong.com/news/200709/11356. Accessed 28 June 2020

[9] Lin L, Pei J, Gong L, Du F. Realization of comprehensive automation system for Beijing metro line 6. Urban Rail Transit Res, 2014, 10(17): 110-114.

[10] Tuytelaars T, Zaatri A, Van Gool L et al (2000) Automatic object recognition as part of an integrated supervisory control system. In: Proceedings 2000 ICRA, millennium conference. IEEE international conference on robotics and automation. Symposia proceedings (Cat. No. 00CH37065), vol 4. IEEE, pp 3707–3712

[11] Belmonte F, Boulanger J-L, Schön W Role of supervision systems in railway safety. WIT Trans Built Environ, 2006, 88: 129-138.

[12] Shufan XJC. Redundancy design of integrated supervisory control system in urban rail transit. Mod Urban Transit, 2008, 5: 29-32.

[13] Du JW, Fang YD. Integrated supervisory control system based on distributed component management. applied mechanics and materials. Trans Tech Publ Ltd, 2013, 340: 744-748.

[14] Kuznetsov AA, Lavrukhin AA, Kuznetsova M A (2017) Schemes and problems of scada system for electrical energy control on railway rolling stock. In: 2017 international conference on industrial engineering, applications and manufacturing (ICIEAM), pp 1–6

[15] Wu Q. The research of urban rail transit integrated automation system based on cloud computing, 2016, Paris: Atlantis Press 305-309.

[16] Yan F, Gao C, Tang T A safety management and signaling system integration method for communication-based train control system. Urban Rail Transit, 2017, 3(2): 90-99

[17] Shashavali S, Ammina AK, Sankar V (2019) Safety analysis for building automation and control system in metro railway station 5

[18] Armbrust M, Fox A, Griffith R A view of cloud computing. Commun ACM, 2010, 53(4): 50-58

[19] Mell P, Grance T et al (2011) The NIST definition of cloud computing. Computer Security Division, Information Technology Laboratory, National

[20] Marston S, Li Z, Bandyopadhyay S Cloud computing—the business perspective. Decis Support Syst, 2011, 51(1): 176-189

[21] Zamora-Izquierdo MA, Santa J, Martínez JA Smart farming IoT platform based on edge and cloud computing. Biosyst Eng, 2019, 177: 4-17

[22] Yang C, Huang Q, Li Z Big Data and cloud computing: innovation opportunities and challenges. Int J Digital Earth, 2017, 10(1): 13-53

[23] Varghese B, Buyya R. Next generation cloud computing: new trends and research directions. Future Gen Comput Syst, 2018, 79: 849-861

[24] Botta A, De Donato W, Persico V Integration of cloud computing and internet of things: a survey. Future Gen Comput Syst, 2016, 56: 684-700

[25] Mishra SK, Sahoo B, Parida PP. Load balancing in cloud computing: a big picture. J King Saud Univ Comput Inf Sci, 2020, 32(2): 149-158.

[26] Microservices[EB/OL] (2020) Martinfowler.com. https://martinfowler.com/articles/microservices.html. Accessed 28 June 2020

[27] Cerny T, Donahoo MJ, Trnka M. Contextual understanding of microservice architecture: current and future directions. ACM SIGAPP Appl Comput Rev, 2018, 17(4): 29-45

[28] Hasselbring W, Steinacker G (2017) Microservice architectures for scalability, agility and reliability in e-commerce. In: 2017 IEEE international conference on software architecture workshops (ICSAW). IEEE, pp 243–246

[29] Kang H, Le M, Tao S (2016) Container and microservice driven design for cloud infrastructure devops. In: 2016 IEEE international conference on cloud engineering (IC2E). IEEE, pp 202–211

[30] Peng W, Jingyi D. Research on a cloud computing architecture implementation method. Comput Eng Sci, 2009, 31: 11-13.

[31] Lloyd W, Ramesh S, Chinthalapati S, et al (2018) Serverless computing: an investigation of factors influencing microservice performance. In: 2018 IEEE international conference on cloud engineering (IC2E). IEEE, pp 159–169

[32] Rademacher F, Sachweh S, Zündorf A (2017) Differences between model-driven development of service-oriented and microservice architecture. In: 2017 IEEE international conference on software architecture workshops (ICSAW). IEEE, pp 38–45

[33] Villamizar M, Garcés O, Ochoa L Cost comparison of running web applications in the cloud using monolithic, microservice, and AWS Lambda architectures. Serv Oriented Comput Appl, 2017, 11(2): 233-247

[34] Khanda K, Salikhov D, Gusmanov K et al (2017) Microservice-based iot for smart buildings. In: 2017 31st international conference on advanced information networking and applications workshops (WAINA). IEEE, pp 302–308

[35] Lu D, Huang D, Walenstein A et al (2017) A secure microservice framework for iot. In: 2017 IEEE symposium on service-oriented system engineering (SOSE). IEEE, pp 9–18

[36] Villamizar M, Garcés O, Castro H et al (2015) Evaluating the monolithic and the microservice architecture pattern to deploy web applications in the cloud. In: 2015 10th computing Colombian conference (10CCC). IEEE, pp 583–590

[37] Hollysys Industrial Internet Solution [EB/OL] (2020) https://www.hollysys.com/content/details72_1605.html. Accessed 12 July 2020

[38] Zhengzhou Metro Big Data Cloud Platform Phase I Project (2020) The official website of Beijing Jingtou Yiyajie Transportation Technology Co., Ltd. [EB/OL]. https://www.bii-ttbj.cn/wap_doc/17617163.html. Accessed 12 July 2020.

[39] Build the future of Open Infrastructure [EB/OL] (2020) https://www.openstack.org/. Accessed 28 June 2020.

[40] VMware China-Cloud Computing, Mobility and Network and Security Solutions [EB/OL] (2020) VMware. https://www.vmware.com/cn.html. Accessed 28 June 2020.