RDDS: A Real-Time Data Distribution Service for Cyber-Physical Systems

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

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Case Study of Real-time Data Sharing Framework Based on Data Distribution Service Middleware

KIISE Transactions on Computing Practices ◽

10.5626/ktcp.2020.26.4.202 ◽

2020 ◽

Vol 26 (4) ◽

pp. 202-210

Author(s):

Kitae Kim ◽

Seunghyun Yang ◽

Wonwoo Jung

Keyword(s):

Real Time ◽

Data Sharing ◽

Data Distribution ◽

Time Data ◽

Real Time Data ◽

Data Distribution Service

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Novel Design of Collaborative Automation Platform Using Real-Time Data Distribution Service Middleware for an Optimum Process Control Environment

Journal of Circuits System and Computers ◽

10.1142/s0218126616500638 ◽

2016 ◽

Vol 25 (06) ◽

pp. 1650063 ◽

Cited By ~ 2

Author(s):

Sadiq M. Sait ◽

Ghalib A. Al-Hashim

Keyword(s):

Process Control ◽

Real Time ◽

Data Distribution ◽

Regulatory Control ◽

Optimum Process ◽

Control Environment ◽

Time Data ◽

Control Applications ◽

Real Time Data ◽

Data Distribution Service

Refining and petrochemical processing facilities utilize various process control applications to raise productivity and enhance plant operation. Client–server communication model is used for integrating these highly interacting applications across multiple network layers utilized in distributed control systems. This paper presents an optimum process control environment by merging sequential and regulatory control, advanced regulatory control, multivariable control, unit-based process control, and plant-wide advanced process control into a single collaborative automation platform to ensure optimum operation of processing equipment for achieving maximum yield of all manufacturing facilities. The main control module is replaced by a standard real-time server. The input/output racks are physically and logically decoupled from the controller by converting them into distributed autonomous process interface systems. Real-time data distribution service middleware is used for providing seamless cross-vendor interoperable communication among all process control applications and distributed autonomous process interface systems. Detailed performance analysis was conducted to evaluate the average communication latency and aggregate messaging capacity among process control applications and distributed autonomous process interface systems. The overall performance results confirm the viability of the new proposal as the basis for designing an optimal collaborative automation platform to handle all process control applications. It also does not impose any inherent limit on the aggregate data messaging capacity, making it suitable for scalable automation platforms.

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Real-Time Data Aggregation for Contention-Based Sensor Networks in Cyber-Physical Systems

Wireless Algorithms, Systems, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31869-6_45 ◽

2012 ◽

pp. 520-531 ◽

Cited By ~ 2

Author(s):

Qin Liu ◽

Yanan Chang ◽

Xiaohua Jia

Keyword(s):

Sensor Networks ◽

Real Time ◽

Data Aggregation ◽

Cyber Physical Systems ◽

Time Data ◽

Physical Systems ◽

Real Time Data

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Novel Design of Heterogeneous Automation Controller Based on Real-Time Data Distribution Service Middleware to Avoid Obsolescence Challenges

Journal of Circuits System and Computers ◽

10.1142/s0218126616501115 ◽

2016 ◽

Vol 25 (09) ◽

pp. 1650111 ◽

Cited By ~ 1

Author(s):

Sadiq M. Sait ◽

Ghalib A. Al-Hashim

Keyword(s):

Real Time ◽

Data Distribution ◽

Partial Replacement ◽

Limiting Factor ◽

Input Output ◽

Process Automation ◽

Time Data ◽

Automation Systems ◽

Real Time Data ◽

Data Distribution Service

Oil and gas processing facilities utilize various process automation systems with proprietary controllers. As the systems age; older technologies become obsolete resulting in frequent premature capital investments to sustain their operation. This paper presents a new design of automation controller to provide inherent mechanisms for upgrades and/or partial replacement of any obsolete components without obligation for a complete system replacement throughout the expected life cycle of the processing facilities. The input/output racks are physically and logically decoupled from the controller by converting them into distributed autonomous process interface systems. The proprietary input/output communication between the conventional controller CPU and the associated input/output racks is replaced with standard real-time data distribution service middleware for providing seamless cross-vendor interoperable communication between the controller and the distributed autonomous process interface systems. The objective of this change is to allow flexibility of supply for all controller’s subcomponents from multiple vendors to safeguard against premature automation obsolescence challenges. Detailed performance analysis was conducted to evaluate the viability of using the standard real-time data distribution service middleware technology in the design of automation controller to replace the proprietary input/output communication. The key simulation measurements to demonstrate its performance sustainability while growing in controller’s size based on the number of input/output signals are communication latency, variation in packets delays, and communication throughput. The overall performance results confirm the viability of the new proposal as the basis for designing cost effective evergreen process automation solutions that would result in optimum total cost of ownership capital investment throughout the systems’ life span. The only limiting factor is the selected network infrastructure.

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