Real-time data distribution sub-system in space weather forecast

2005 ◽  
Author(s):  
Pei Liu ◽  
Jian Zhang ◽  
Yihua Yan
Keyword(s):  
Real Time ◽  
Space Weather ◽  
Data Distribution ◽  
Weather Forecast ◽  
Time Data ◽  
Real Time Data

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

2016 ◽  
Vol 25 (06) ◽  
pp. 1650063 ◽  
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.

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

2016 ◽  
Vol 25 (09) ◽  
pp. 1650111 ◽  
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.

scholarly journals REGULATING WATER SUPPLY AND WATER CUTBACKS IN AGRICULTURE USING IOT BASED SMART IRRIGATION SYSTEM

2021 ◽  
Vol 9 (1) ◽  
pp. 629-633
Author(s):  
Prabhas Kumar Gupta, Dr. Nagendra Tripathi
Keyword(s):  
Data Analysis ◽  
Real Time ◽  
Irrigation System ◽  
Weather Forecast ◽  
Weather Conditions ◽  
Underground Water ◽  
Contributing Factors ◽  
Time Data ◽  
Cloud Data ◽  
Real Time Data

Involvement of Machine Learning, Real-time Data Analysis and IOT are critically contributing factors in contemporary technical scenarios. Utilization of these three technologies can play a major role in the success of farming thereby modernizing the irrigation system. This paper is focused on the Smart Irrigation System which draws a lot from real-time data analysis, IOT and Machine Leaning. It also presents a study of a system that processes real time data and takes decision about to what extent the field needs to be irrigated. In this way water is saved, its misuse regulated and can be restored for future use if required. Here we rely on cloud data and some other agri-factors which help in decision making.  The Smart Irrigation System discussed here shall also regulate the use of underground water my incorporating IOT and weather forecast. The system will also contribute to effective irrigation taking in view the contemporary weather conditions and the requirement of water in the crop.

scholarly journals Internet Data Distribution – extending real-time data sharing throughout the Americas

2006 ◽  
Vol 8 ◽  
pp. 91-95 ◽  
Author(s):  
T. Yoksas ◽  
W. Gambi de Almeida ◽  
D. Garrana Coelho ◽  
V. Castro Leon ◽  
T. Spangler
Keyword(s):  
Real Time ◽  
Data Distribution ◽  
Primary Source ◽  
Time Data ◽  
Local Data ◽  
Science Data ◽  
The Us ◽  
Real Time Data ◽  
Reliable Mechanism ◽  
The University

Abstract. The Unidata Program Center (Unidata) of the University Corporation of Atmospheric Research (UCAR) is involved in three international collaborations whose goals are extension of real-time data delivery-to and sharing-of locally held datasets-by educational institutions throughout the Americas. These efforts are based on the use of Unidata's Internet Data Distribution (IDD) system which is built on top of its proven Local Data Manager Version 6 (LDM-6) technology. The Unidata IDD is an event-driven network of cooperating Unidata LDM servers that distributes discipline-neutral data products in near real-time over wide-area networks. The IDD, a collaboration of over 150 mostly North American institutions of higher education, has been the primary source of real-time atmospheric science data for the US university community for over a decade,. In addition to providing a highly reliable mechanism for delivering real-time data, the IDD allows users to easily share locally held datasets.

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