Description
Rugged Wireless Accelerometer, 3-AxisThe G-Link-200 is a battery powered wireless 3-axis accelerometer with a rugged, weatherproof enclosure. The G-Link-200 provides extremely low noise waveform data, ideal for vibration, impact, motion, and tilt monitoring applications. Additionally, derived vibration parameters allow for long-term condition monitoring and predictive maintenance.
Lord wireless sensor networks are fast to deploy and provide reliable, lossless data throughput. These networks are proven to work in demanding industries where reliable data acquisition is critical.
SensorConnect is the next generation in desktop sensing software. From configuration of nodes and starting networks, to collecting and analyzing data in real-time, SensorConnect provides a modern, powerful experience with our Wireless, Inertial, and Displacement products. Using our intelligent data collection and graphing algorithms, you are able to visualize massive amounts of data instantly, and then zoom in on points of interest just as fast. Built in MathEngine functionality allows for both real-time and post- processed math, such as generating FFTs, averages, RMS, etc. 
SensorCloud is a unique sensor data storage, visualization, and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis. LORD sensors can instantly upload their data to SensorCloud via an ethernet-connected WSDA-2000. Once uploaded, your data is securely stored in the Cloud and can be accessed from anywhere, or downloaded for offline use. Configurable alerts can be set to help notify you of real-time event in your data. MathEngine allows you to perform analytics on your data, all in the Cloud. Pre-built functions are available for ease of use, while IPython Notebooks allow advanced users to write custom scripts to be run on their data once, or on a schedule. 
The MicroStrain Communication Library (MSCL) makes it simple to write code that interacts with our Wireless, Inertial, and Displacement sensors. MSCL is completely open source and hosted on GitHub under the MIT license. Full documentation, example code, and a quick start guide are provided to help you get started. Available for C++, Python, and .NET.
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