Augmented Reality Based Real-Time Data Visualization Concept for Ultra-Efficient Car Prototype

2017 ◽  
Author(s):  
Peter Wozniak ◽  
Oliver Vauderwange ◽  
Nicolas Javahiraly ◽  
Dan Curticapean
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Data Visualization ◽  
Time Data ◽  
Real Time Data

scholarly journals Usability in 4D AR: Visualising Multi-temporal Real-time Geo-data in Augmented Reality Environments

2015 ◽  
Vol 9 (4) ◽  
pp. 23 ◽  
Author(s):  
Bernd Resch ◽  
Andreas Wichmann ◽  
Nicolas Göll
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Temporal Variations ◽  
Time Base ◽  
Future Research ◽  
Time Data ◽  
Orientation Data ◽  
Information Density ◽  
Real Time Data ◽  
Multi Temporal

Even though advantages of 3D visualisation of multi-temporal geo-data versus 2D approaches have been widely proven, the particular pertaining challenge of real-time visualisation of geo-data in mobile Digital Earth applications has not been thoroughly tackled so far. In the emerging field of Augmented Reality (AR), research needs comprise finding the optimal information density, the interplay between orientation data in the background and other information layers, using the appropriate graphical variables for display, or selecting real-time base data with adequate quality and suitable spatial accuracy. In this paper we present a concept for integrating real-time data into 4D (three spatial dimensions plus time) AR environments, i.e., data with “high” spatial and temporal variations. We focus on three research challenges: 1.) high-performance integration of real-time data into AR; 2.) usability design in terms of displaying spatio-temporal developments and the interaction with the application; and 3.) design considerations regarding reality vs. virtuality, visualisation complexity and information density. We validated our approach in a prototypical application and extracted several limitations and future research areas including natural feature recognition, the cross-connection of (oftentimes monolithic) AR interface developments and well-established cartographic principles, or fostering the understanding of the temporal context in dynamic 4D Augmented Reality environments.

Solution for Inspection of Power Energy Equipment Using Augmented Reality

2017 ◽  
Vol 0 (0) ◽  
Author(s):  
O. M. Ghita ◽  
S. D. Grigorescu ◽  
H. Andrei ◽  
N. Calin
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Field Data ◽  
Electrical Power ◽  
Time Data ◽  
Team Members ◽  
Additional Information ◽  
Power Stations ◽  
Real Time Data ◽  
Energy Equipment

Abstract The advance in the field of augmented reality (AR) allows newer approaches to traditional activities, such as service, maintenance or intervention in various field operations. The idea of this paper is to present the design for an innovative AR platform which is currently under development and is designed to be used in Electrical Power Stations. Field data from sensors and additional information stored in QR tags placed on equipment’s are transmitted to a server and from here to the AR equipment’s carried by the intervention personnel. In this case, real time data can be displayed, enhancing the perception of team members and providing additional info that can help them to fulfill their mission.

Enabling human–infrastructure interfaces for inspection using augmented reality

2020 ◽  
pp. 147592172097701
Author(s):  
D Maharjan ◽  
M Agüero ◽  
D Mascarenas ◽  
R Fierro ◽  
F Moreu
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Industrial Revolution ◽  
Cost Allocation ◽  
Low Cost ◽  
Data Access ◽  
Maintenance Cost ◽  
Time Data ◽  
Real Time Data ◽  
Human Awareness

Decaying infrastructure maintenance cost allocation depends heavily on accurate and safe inspection in the field. New tools to conduct inspections can assist in prioritizing investments in maintenance and repairs. The industrial revolution termed as “Industry 4.0” is based on the intelligence of machines working with humans in a collaborative workspace. Contrarily, infrastructure management has relied on the human for making day-to-day decisions. New emerging technologies can assist during infrastructure inspections, to quantify structural condition with more objective data. However, today’s owners agree in trusting the inspector’s decision in the field over data collected with sensors. If data collected in the field is accessible during the inspections, the inspector decisions can be improved with sensors. New research opportunities in the human–infrastructure interface would allow researchers to improve the human awareness of their surrounding environment during inspections. This article studies the role of Augmented Reality (AR) technology as a tool to increase human awareness of infrastructure in their inspection work. The domains of interest of this research include both infrastructure inspections (emphasis on the collection of data of structures to inform management decisions) and emergency management (focus on the data collection of the environment to inform human actions). This article describes the use of a head-mounted device to access real-time data and information during their field inspection. The authors leverage the use of low-cost smart sensors and QR code scanners integrated with Augmented Reality applications for augmented human interface with the physical environment. This article presents a novel interface architecture for developing Augmented Reality–enabled inspection to assist the inspector’s workflow in conducting infrastructure inspection works with two new applications and summarizes the results from various experiments. The main contributions of this work to computer-aided community are enabling inspectors to visualize data files from database and real-time data access using an Augmented Reality environment.

scholarly journals Implementation of ANN-Based Embedded Hybrid Power Filter Using HIL-Topology with Real-Time Data Visualization through Node-RED

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7127
Author(s):  
Raffay Rizwan ◽  
Jehangir Arshad ◽  
Ahmad Almogren ◽  
Mujtaba Hussain Jaffery ◽  
Adnan Yousaf ◽  
...  
Keyword(s):  
Real Time ◽  
Data Visualization ◽  
Data Communication ◽  
Primary Data ◽  
Raspberry Pi ◽  
Ann Model ◽  
Time Data ◽  
Real Time System ◽  
Power Filter ◽  
Real Time Data

Electrical power consumption and distribution and ensuring its quality are important for industries as the power sector mandates a clean and green process with the least possible carbon footprint and to avoid damage of expensive electrical components. The harmonics elimination has emerged as a topic of prime importance for researchers and industry to realize the maintenance of power quality in the light of the 7th Sustainable Development Goals (SDGs). This paper implements a Hybrid Shunt Active Harmonic Power Filter (HSAHPF) to reduce harmonic pollution. An ANN-based control algorithm has been used to implement Hardware in the Loop (HIL) configuration, and the network is trained on the model of pq0 theory. The HIL configuration is applied to integrate a physical processor with the designed filter. In this configuration, an external microprocessor (Raspberry PI 3B+) has been employed as a primary data server for the ANN-based algorithm to provide reference current signals for HSAHPF. The ANN model uses backpropagation and gradient descent to predict output based on seven received inputs, i.e., 3-phase source voltages, 3-phase applied load currents, and the compensated voltage across the DC-link capacitors of the designed filter. Moreover, a real-time data visualization has been provided through an Application Programming Interface (API) of a JAVA script called Node-RED. The Node-RED also performs data transmission between SIMULINK and external processors through serial socket TCP/IP data communication for real-time data transceiving. Furthermore, we have demonstrated a real-time Supervisory Control and Data Acquisition (SCADA) system for testing HSAHPF using the topology based on HIL topology that enables the control algorithms to run on an embedded microprocessor for a physical system. The presented results validate the proposed design of the filter and the implementation of real-time system visualization. The statistical values show a significant decrease in Total Harmonic Distortion (THD) from 35.76% to 3.75%. These values perfectly lie within the set range of IEEE standard with improved stability time while bearing the computational overheads of the microprocessor.

Sign in / Sign up

Export Citation Format

Share Document