This paper is published in Volume-3, Issue-6, 2017
Area
SCADA, Industrial Automation, IoT
Author
Ram Dhobley, Abhay Chopde
Org/Univ
Vishwakarma Institute of Technology, Pune, Maharashtra, India
Pub. Date
23 December, 2017
Paper ID
V3I6-1407
Publisher
Keywords
Architecture, Communication, Vulnerabilities.

Citationsacebook

IEEE
Ram Dhobley, Abhay Chopde. Comparative analysis of Traditional SCADA systems and IoT implemented SCADA, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ram Dhobley, Abhay Chopde (2017). Comparative analysis of Traditional SCADA systems and IoT implemented SCADA. International Journal of Advance Research, Ideas and Innovations in Technology, 3(6) www.IJARIIT.com.

MLA
Ram Dhobley, Abhay Chopde. "Comparative analysis of Traditional SCADA systems and IoT implemented SCADA." International Journal of Advance Research, Ideas and Innovations in Technology 3.6 (2017). www.IJARIIT.com.

Abstract

SCADA system stands as an abbreviation of Supervisory Control and Data Acquisition. It focuses on the supervisory level and is not a full control system. It is a computer system which gathers and analyses real-time data. They are useful in monitoring and controlling a plant or industrial equipment like telecommunications, water, waste control, energy, oil-gas refining, and transportation. It gathers information about a mishap, transfers it back to a central site and alerts the home station about the mishap, carries out necessary analysis and control, like determining if the mishap occurred is critical, and display the information in a logical and organized fashion. They can be relatively as simple as a system which monitors environmental conditions of a small office building, or as complex as a system that monitors all the activity in a nuclear power plant. IoT acts as a complementary setup to SCADA. SCADA system generates information which acts as one of the data sources for IoT. While the focus of SCADA on monitoring and control, the focus of IoT is firmly on analyzing machine data to improve productivity.