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When devices on the basic plan reach their maximum MDP, SensorCloud will reject any further data uploads.  Similarly, API calls will be rejected after the allotment is exhausted.  All previously uploaded data remains accessible through fastgraph.  For upgraded devices, SensorCloud will not reject any requests, but will accumulate additional usage costs.  These additional costs are defined in each of the billing plans.  Additional costs will appear at the end of the month when the billing cycle is renewed.
 

Each SensorCloud billing plan operates on a monthly cycle.  The month begins when the user enters their billing info.  A user can upgrade and downgrade devices at any time in the month.  Upgrades made during a billing cycle will be pro-rated for the remaining days in the billing cycle.  At the end of the billing cycle, all upgraded devices are automatically renewed and MDP and OpenData API allotments are refreshed.
 

No, the on-board GPS does not support this.... but if the user has a GPS that does, this external GPS can input its 'RTK-groomed' measurements into the 3DM-GX3-45 and the 3DM-GX3-45 will incorporate those measurements into the Kalman filter.  To be clear: the on-board GPS will be bypassed in favor of the external GPS.

Wikipedia's definition: http://en.wikipedia.org/wiki/Real_Time_Kinematic

Real Time Kinematic (RTK) satellite navigation is a technique used to enhance the precision of position data derived from satellite-based positioning systems, being usable in conjunction with GPS, GLONASS and/or Galileo. It uses measurements of the phase of the signal′s carrier wave, rather than the information content of the signal, and relies on a single reference station to provide real-time corrections, providing up to centimetre-level accuracy. With reference to GPS in particular, the system is commonly referred to as Carrier-Phase Enhancement, or CPGPS. It has application in land survey and in hydrographic survey.

Yes, absolutely.  SensorCloud is viewable on Android and IOS devices.

SensorCloud has a very powerful function called MathEngine.  MathEngine allows users to process vast quantities of sensor data in the cloud, and on the fly.   Users can either create simple custom scripts for basic operations such as averaging and filtering, or, they can implement advanced data processing algorithms for generating condition indicator metrics such as metal fatigue or bearing failure.  

Link to MathEngine: http://www.sensorcloud.com/features/mathengine

Yes, absolutely.  You are the administrator of your account and you can grant password protected read or read/write access to anyone you like.  Anyone who has access to a web browser can graphically see your data.  You can also send automatic alerts to anyone you like.

Product Linkage: 

Yes, absolutely.  The SensorCloud interface allows you to manually download a CSV (spreadsheet file) on any data set you choose.  You may also download any data set programmatically using the calls in the OpenData API.

Link to OpenData API: http://www.sensorcloud.com/features/open-data-api

Security and data privacy are paramount at SensorCloud.  Security has been a cornerstone of our platform from day one, and all services adhere to industry best practices.  SensorCloud is currently built on top of Amazon Web Services, which provides a world-class secure and trusted platform with well-documented processes and exceptional physical security.

Link to our Security and Privacy statement: http://www.sensorcloud.com/features/security-privacy

Sensors generating vast quantities of data.  This video demonstrates how SensorCloud can rapidly plot and navigate through a one terabyte (TB) vibration data set containing over 100 billion measurements. 

 

Link to video: http://www.youtube.com/watch?feature=player_embedded&v=T6tko2wOJc4

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