The Real-time Data Viewer (RDV) provides an interface for viewing and analyzing live or archived time-synchronized data either locally or streamed across a network from a Data Turbine (RBNB) server. RDV is capable of displaying textual and numerical data, still images, and video. The playback rate can be adjusted so data is presented slower or faster than real time to aid in analysis.
RDV is developed and maintained by the hard working group at Network for Earthquake Engineering Simulation (NEES).
- Before running RDV make sure that Java is installed on your system
- Download RDV and extract rdv.jar from the zip
- Run it by double clicking it (or from the terminal)
- Read the quick start guide to quickly learn to use RDV
There is also a limited online version of RDV available, although the
- Visit the NEES website
- In the top right corner locate and click Launch Tool
- Sign up to NEEShub (its free)
- Run the utility (you will need to enable a Java plugin in your browser)
NEES provides comprehensive documentation on their website, including a wiki and a user’s guide. We highly encourage you to check it out.
To quickly get you started here is a very basic first steps guide. We highly encourage you to read the documentation if you have any further questions.
- Connect to a server by going to File -> Connect
- Host: Type in the URL of the server. For a server running on the same machine as RDV this would be localhost
- Port: Specify the port that the server uses to access DataTurbine (usually this is 3333 unless otherwise specified)
- Double click on a channel in the channel list
- Set the granularity to a value greater then the sample rate of your data. For example if your data is sampled once a day 1.0 w is an appropriate value
- On the full timeline use the blue arrows to specify a range of time that you wish to examine
- The time window shows the exact date around which the display is centered. Move the green arrow to specify the desired date
- To overlay channels just drag one of the channels from the channel list onto the existing graph.
- To view live streaming data click the live data button that looks like two arrows.
- Learn more by reading the documentation