A Program to Display Big Data

Abstract

This paper describes a new way to look at telemetry data. Northern Arizona University (NAU) students are researching a new approach to apply virtual reality (VR) to evaluate data from a collection of stored signals. Each signal will have limits attached which we will use to view the parts of the waveform which contain abnormalities. A program to illustrate the technique is being developed by NAU students. Initially, we were working with Vizard 5, using the Python language. However, there is another program, Unity, which will perhaps be more useful for the application we wish to achieve. Additionally, we are examining a technique to accurately access the telemetry data collected. The amount of telemetry data collected has increased over the years resulting in difficulties in identifying the relevant information. We are searching for a better approach to store and access big data and will demonstrate this approach by utilizing Oculus Rift and Microsoft Kinect.