Abstract
Most electrical substations are remotely monitored and controlled by using Supervisory Control and Data Acquisition (SCADA) applications. Current SCADA systems have been significantly enhanced by utilizing standardized communication protocols and the most prominent is the IEC 61850 international standard. These enhancements enable improvements in different domains of SCADA systems such as communication engineering, data management and visualization of automation process data in SCADA applications. Process data visualization is usually achieved through Human Machine Interface (HMI) screens in substation control centres. However, this visualization method sometimes makes supervision, control and maintenance procedures executed by engineers slow and error-prone because it separates equipment from its automation data. Augmented reality (AR) and mixed reality (MR) visualization techniques have matured enough to provide new possibilities of displaying relevant data wherever needed. This paper presents a novel methodology for visualizing process related SCADA data to enhance and facilitate human-centric activities in substations such as regular equipment maintenance. The proposed solution utilizes AR visualization techniques together with standards-based communication protocols used in substations. The developed proof-of-concept AR application that enables displaying SCADA data on the corresponding substation equipment with the help of AR markers demonstrates originality and benefits of the proposed visualization method. Additionally, the application enables displaying widgets and 3D models of substation equipment to make the visualization more user-friendly and intuitive. The visualized SCADA data needs to be refreshed considering soft real-time data delivery restrictions. Therefore, the proposed solution is thoroughly tested to demonstrate the applicability of proposed methodology in real substations.
Highlights
In recent years, augmented reality (AR) and mixed reality (MR) technologies and devices (e.g., Google Glass [1], Microsoft Hololens [2]) have introduced a significant amount of technological hype by offering the ability to augment a user’s real-world vision field with contextual information.These technologies, apart from some technical limitations, have the potential to be applicable in many different areas since they can move domain-specific visualizations from the computer screen to the real world
This paper presents a novel methodology for visualizing process related Supervisory Control and Data Acquisition (SCADA) data to enhance and facilitate human-centric activities in substations such as regular equipment maintenance
This paper presents a novel approach in visualizing process related SCADA data to enhance and facilitate supervision, control and human-centric maintenance activities in power system substations
Summary
In recent years, augmented reality (AR) and mixed reality (MR) technologies and devices (e.g., Google Glass [1], Microsoft Hololens [2]) have introduced a significant amount of technological hype by offering the ability to augment a user’s real-world vision field with contextual information. Soete et al have created a functional AR monitoring application which uses a static camera, AR markers, OpenCV (Open Source Computer Vision Library, an open source computer vision and machine learning library) technology and computer vision techniques to provide enhancement of traditional SCADA functionalities [9]. They proved that AR and MR could, be used very efficiently in the monitoring domain of SCADA systems. This paper presents a novel methodology for visualizing process related SCADA data to enhance and facilitate human-centric activities in substations such as regular equipment maintenance. Faster and more user-friendly tools for development of these applications can be used nowadays, making the creation and maintenance process of the applications quicker and less error-prone
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
