Internet Enabled Vibration-Acoustic Data Logger
Digilent is now a proud distributor of Measurement Computing Corporation (MCC) DAQ and data logging products. MCC is a leading supplier of data acquisition solutions that are easy-to-use, easy-to-integrate, and easy-to-support.
The MCC WebDAQ 504 is a stand-alone, vibration and acoustic data logger designed for remote monitoring, analysis, and control. All the intelligence is built into the WebDAQ, eliminating the need for a PC or additional software. By using the embedded WebDAQ web server, users can easily configure simple or sophisticated applications, log data, update digital outputs and/or send notifications based on alarm conditions, and view real-time data from any location and any device with a web browser. The WebDAQ 504 provides four simultaneous IEPE inputs for measuring sensors like accelerometers and microphones plus four isolated digital bits that can be used as trigger inputs or alarm outputs. Housed in a heavy-duty chassis, the WebDAQ 504 is rugged enough for industrial applications.
There are three devices in the WebDAQ Series. Devices are available to log multiple signal types including voltage (up to +/-60 V), thermocouples, IEPE-based sensors like accelerometers, current, RTDs, resistance, and bridge-based sensors.
Software
The WebDAQ Series embedded OS and web server provides an all-in-one package for stand-alone data logging and alarming. Users can monitor and control their applications from anywhere with a web browser. The WebDAQ web server is optimized for both desktop and mobile use. Users can perform data acquisition tasks from phones, tablets and laptops with a single, intuitive user interface.
For users requiring more custom functionality than is provided by the web browser interface, a RESTful API is provided to start and stop an acquisition, retrieve data in real-time, access information about the system, schedules, and jobs, and get the status of acquisition and alarm(s). With the RESTful API, data from WebDAQ devices can be displayed on any popular data dashboard, cloud application, or custom program.