Phizzle, Inc.

Benjamin Davis, Iii

Edwin J Lau

James L Whims

Stephen Peary

Ryan Brady

Michael August Patrick

Michael Patrick

A system for automatic and dynamic control of machine operations includes a connection to a machine external to the system; sensors configured and deployed to monitor an operation of the external machine and to generate sensor records; a sensor data processing apparatus configured and deployed to receive sensor records from the sensors, and to identify, based on the received sensor records, events and corresponding event conditions affecting an operation of the machine. The processing apparatus is further configured to identify a rule set that, when applied to the machine, alters the operation of the machine by the processing apparatus selectively prioritizing application of the rules to the machine by using only those rules that are operationally relevant to identified events and corresponding event conditions affecting the operation of the machine.

Dynamically updatable rules engine, and corresponding systems and methods of use

A system includes a plurality of sensors; a dynamically updateable rules engine coupled to the plurality of sensors; a data collection management module coupled to the dynamically updateable rules engine and the plurality of sensors; and a data storage and analysis inference module coupled to the data collection management module, the dynamically updateable rules engine and the plurality of sensors. Data from the plurality of sensors that is received by the dynamically updateable rules engine is transformed by the dynamically updateable rules engine by selectively executing rules based on conditions or events. The dynamically updateable rules engine is updated by the data storage and analysis inference module.

Dynamically updateable rules engine

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San Francisco, CA, United States of America

Benjamin Davis, Iii