An Integral Data Gathering Framework for Supervisory Control and Data Acquisition Systems in Green IoT

Author(s):  
Xuemei Xiang ◽  
Jingsong Gui ◽  
Neal N. Xiong
2018 ◽  
Vol 51 (7-8) ◽  
pp. 205-212 ◽  
Author(s):  
Beşir Demir ◽  
Ahmet Tumay ◽  
Mehmet Efe Ozbek ◽  
Enver Cavus

Background In industrial disasters, early detection of problems and crisis management are critical for saving the lives of people and reducing the impact of disasters. Purpose In this study, we design a special gateway system that bridges the gap between different communication protocols and enables legacy supervisory control and data acquisition systems to function early detection systems for potential industrial disasters. Methods The system uses a new queue mechanism to substantially improve the problem of data loss found in conventional supervisory control and data acquisition systems and utilizes identification (ID) prioritization to enable early detection of problems. The proposed system is implemented and tested on a Linux-based, 3G-capable Modbus gateway system. Modbus is used as the communication protocol and 3G technology is utilized to provide high-speed wireless data transfer components. The Modbus gateway device uses an ARM-based EP9302 processor and has digital input/output, relay outputs, and RS485 outputs. Conclusion This study is significant as it is the first work to show the application of the priority query execution method for Modbus gateway devices.


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