Search Results for "data capture framework"

This software implements the IEC60870-5-104 protocol (client side) for substation data acquisition and control via tcp/ip network using the QT UI Framework. It can be compiled on Linux and Windows platforms. It's possible to poll and view data from the remote system (RTU) and also send commands. >>> Have a look also at my new SCADA project here: https://github.com/riclolsen/json-scada

This program written in Python is used for capture screenshot or raw data from a UNI-T digital storage oscilloscope.

The goal of the Perl OBD-II Logger project is to create a flexible and efficient application that can capture and log OBD-II Mode 0x01 PID data from an automotive scantool. It is designed with accurate and efficient PID data logging in mind, and provides NO support for reading or resetting diagnostic trouble codes. By default, the output log file contains time-stamped PID values in a simple Comma Separated Values (CSV) format that can be readily imported into popular data analysis or spreadsheet applications. ...

DSAquire allows you to download and plot trace data from a Thurlby DSA524 digital storage adaptor (it's a 25 year old instrument, but better late than never, eh?). The data is downloaded via an RS232 serial link using a null modem cable. You can export the plot as an image or export the data in real-world units as a csv file. This software runs under Linux and also under Windows XP and later using Cygwin. Pre-compiled binaries are supplied, as are full sources under the GPL. The...

DevLogger is a software framework used to collect, monitor, and log data from any number of instruments or input devices simultaneously. Initial support provides for serial connections to Radio Shack 22-812 multimeters and My Weigh HD Scales.

LogicAnalyzer is a framework as well as an application to operate a PC based logic analyzer. It's built using the Eclipse RCP and designed with extensibiliy in mind. Integrating new devices or creating completely new functionality is easy.

PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.