DataCloud’s team, composed of experts from the technology industry and top-tier institutions such as UC Berkeley, Cambridge, and Stanford, has deep expertise in the geosciences, cloud computing, Internet of Things, and AI.
DataCloud’s turnkey, real-time rock mass characterization platform measures and analyzes subsurface properties required to significantly enhance orebody understanding during drill and blast operations. The platform is based on advanced digital technologies such as:
Clients have instant access to actionable insights, which can be imported directly into clients’ block models or exported to a database of their choosing.
Seamless D&B Blast Hole
Our IoT sensors and edge computing devices are what we call the “senses” of DataCloud’s technology. The device is easily installed on production drills to make multiple independent vibration measurements of the rock. Vibration signatures in the drill steel are acquired via IoT devices and wirelessly transmitted to an edge device in the cab. Initial processing is performed on the edge device prior to compressing the IoT data and streaming it to the cloud via cellular or WiFi networks in real-time.
Geostatistical Algorithms and Machine Learning
The measurement data that streams to the cloud from our edge device is routed to DataCloud’s “brain” to undergo geospatial interpretation and provide clients with high-resolution insights of their recently drilled patterns. Rock mass characterization data includes the following:
Minimal Disruption, Maximum Value
It is our mission to make high-resolution rock mass data available to you with no disruption in your workflow. Doing so represents a significant evolution of orebody imaging capabilities in the mining industry. We want to make it easy for you to improve productivity, profitability, and safety, while lessening the environmental impact of your operations. We have delivered rock mass characterization in a variety of ways, including but not limited to, our geology software, via your block models, a server location, or shape files.