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Technical Brief

An Interactive Real-Time SCADA Platform With Customizable Virtual Instruments for Cloud Control Systems

[+] Author and Article Information
Haoran Tan

School of Information Science and Engineering,
Central South University,
Changsha 410083, Hunan, China
e-mail: tanhaoran@csu.edu.cn

Zhiwu Huang

Professor
School of Information Science and Engineering,
Central South University,
Changsha 410083, Hunan, China
e-mail: hzw@csu.edu.cn

Min Wu

Professor
School of Automation,
China University of Geosciences,
Wuhan 430074, Hubei, China;
Hubei Key Laboratory of Advanced Control and Intelligent
Automation for Complex Systems,
Wuhan 430074, Hubei, China
e-mail: wumin@cug.edu.cn

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received May 18, 2018; final manuscript received October 29, 2018; published online December 12, 2018. Assoc. Editor: Huiping Li.

J. Dyn. Sys., Meas., Control 141(4), 044501 (Dec 12, 2018) (8 pages) Paper No: DS-18-1244; doi: 10.1115/1.4041977 History: Received May 18, 2018; Revised October 29, 2018

This paper studies the design and implementation of an interactive real-time cloud supervisory control and data acquisition (SCADA) platform. The platform relying on C# and client/server architecture provides full support for data supervision of the cloud control system (CCS). Users are allowed to design supervisory interfaces by dynamically creating and customizing virtual instruments, which are seamlessly integrated into the platform by reconstructing it. Both the scalar and matrix data from different cloud nodes are supported for supervising simultaneously in real-time through receiving data asynchronously. The user can tune the parameters of the CCS online via duplex channels based on the transmission control protocol/internet protocol (IP). To overcome the disturbance of network delays to data display, a stable data and real-time data communication scheme are proposed. All the supervised data can be stored in separate files for further analysis. Finally, the online simulation and experiment are provided to demonstrate the feasibility of the designed SCADA platform.

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Figures

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Fig. 1

Architecture of the cloud SCADA platform

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Fig. 2

Main interface of the cloud SCADA platform

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Fig. 3

The process of packet reception and display

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Fig. 4

The process of instruction delivery

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Fig. 5

Structure of data communication channels

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Fig. 6

The timelines of data transmission process

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Fig. 7

Internet-based CCSs

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Fig. 8

Supervisory interface for the Internet-based multi-agent coordinative control simulation

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Fig. 9

Intranet-based multimotor coordinative control test rig

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Fig. 10

Supervisory interface for the Intranet-based multimotor coordinative control experiment

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