SensorCloud Software is a powerful, feature rich cloud based software that operates with LORD Microstrain Sensor Nodes and Gateways. For more information, contact us.
|WSDA-2000 Gateways||OpenData API||CSV Upload|
|LORD Sensing’s WSDA-2000 pushes data directly to SensorCloud. Simply add the WSDA-2000 to your SensorCloud account and any sensor data collected will be uploaded automatically||Upload your own data using SensorCloud’s RESTful Web API. Example code is provided in Python, Java,C# and LabVIEW||Have data already in CSV format? Simply use the drag and drop CSV uploaded to import into SensorCloud|
Visualise your data
|Custom Dashboards||FastGraph||Same great experience|
|Create beautiful and functional dashboards for your business. With a variety of Data Widgets including timeseries graphs, radial gauges, text charts, notes and more. Each widget is fully customisable with setting such as colour range and precision||SensorCloud’s Timeseries Data Widget was built from the ground up with speed and data in mind. The unique algorithms allow you to quickly view your data, no matter how large.||Are you familiar with LORD’s desktop software, Sensor Connect? SensorCloud and SensorConnect work together. You can log into your SensorCloud account from within Sensor Connect and view local and cloud data in the same dashboard.|
Monitor your Sensors
While SensorCloud’s dashboards are powerful, LORD Sensing know it’s important to be notified of events occurring in your data, even on the weekend. Customisable alerts allow you to rest easy, and stay informed on your data 24/7.
Choose notifications based on thresholds, or if no data has been collected for a specified amount of time. Alerts can be received via email and SMS, and can be configured to include event details, such as timestamp and data values.
Analyse your data
MathEngine allows you to perform common math operations on your datasets.
Simply zoom in to the data of interest on your Timeseries graph, press the MathEngine button, and select the operation you wish to perform. Easily create a fully interactive FFT, or get statistics such as number of points, average, max, min, peak-to-peak, RMS, and standard deviation.
MathEngine operations can be performed on multiple channels of data at the same time. All results are included in one output, so you can easily compare data, and spot differences.
MathEngine Notebooks give you the ability to write your own scripts within SensorCloud.
Analyse your SensorCloud data in any way imaginable by combining it with the power of Python and Jupyter Notebooks. The powerful Scipy and Numpy libraries are available. To perform complex mathematics, process digital signals, and generate statistical data.
Feed this data back into a new channel in SensorCloud, and you can visualise it alongside your other data in the standard dashboard.
SensorCloud – Learn More