Converged machine learning and operational technology data acquisition platform
AssigneeHewlett Packard Enterprise Development LP
InventorsKENNETH LEACH, AALAP TRIPATHY, RONALD A. NEYLAND
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Abstract
Systems and methods are provided for integrating data acquisition and machine learning (ML) analytics capabilities in a transformative way. The system may implement a discovery phase, a machine learning phase, and an integration phase using hardware and software components. By incorporating these system components, the significant amounts of data may be acquired and analyzed in near real-time to enhance sensor communications with these OT networks and adjust operation of distributed IoT or edge devices.
Claims21
A converged edge system comprising:
- a processor;
- and
- a memory unit including computer code that when executed, causes the processor to:
- collect operational technology (OT) data from a plurality of OT sensors;
- integrate the OT data directly to one or more machine learning (ML) platforms of the converged edge system operationalizing one or more ML models using the OT data in real-time;
- and
- transmit signals back to a device that is associated with at least one of the plurality of OT sensors or corresponding actuator, wherein the device is controlled by the signals.
A computer-implemented method comprising:
- collecting operational technology (OT) data from a plurality of OT sensors;
- integrating the OT data directly to one or more machine learning (ML) platforms of a converged edge system operationalizing one or more ML models using the OT data in real-time;
- and
- transmitting signals back to a device that is associated with at least one of the plurality of OT sensors or corresponding actuator, wherein the device is controlled by the signals.
A non-transitory computer-readable storage medium storing a plurality of instructions executable by one or more processors, the plurality of instructions when executed by the one or more processors cause the one or more processors to:
- collect operational technology (OT) data from a plurality of OT sensors;
- integrate the OT data directly to one or more machine learning (ML) platforms of the converged edge system operationalizing one or more ML models using the OT data in real-time;
- and
- transmit signals back to a device that is associated with at least one of the plurality of OT sensors or corresponding actuator, wherein the device is controlled by the signals.
Dependencies are inferred from the claim text.