CloudTurbine is proving itself useful as a means to remotely monitor and share test data. At Erigo Technologies, we are using this technology on two different research and development projects.
First, CT is being used to monitor electrolyte development tests in work for a startup battery company. As shown below, a variety of current, voltage and pressure channels are remotely monitored.
Since the experiment’s monitoring software does not directly store data in CT format, we use standard Linux (Cygwin) and off-the-shelf CT tools to accomplish this. Linux “tail” monitors the output data text files; this text is then piped to “netcat” which sends the content (via UDP) to our Windows machine hosting the CT data. On this machine, the UDP data is captured, split into constituent channels and stored in CT format using CTudp. Networked users are able to access the data in a browser via the CTweb server. Thus, remote CT monitoring is enabled for an experiment without any modifications to that system.
Second, CloudTurbine has facilitated the monitoring of test data in a Navy sponsored project to develop a light weight arresting gear cable on aircraft carriers. “Cyclic bend-over-sheave” (CBOS) tests determine steel versus titanium cable fatigue strength (cycles to failure) by running a loop of cable over “sheaves” (pulleys), translated back and forth under load. Cycle count, load, temperature and image data are saved to CloudTurbine and shared using Dropbox for remote monitoring. The numeric experimental data is stored to CT format using a C# CloudTurbine library. Images are fetched from a network web camera and saved to CT format using a script similar to that shown in the “Shell script” tab of the How to get your data into CT post.
Leveraging CloudTurbine to remotely monitor experimental data has proven to be a valuable tool at Erigo Technologies. Whether using off-the-shelf components or developing custom software, open source CloudTurbine enables flexible and powerful ways to access our data.