Florida Power & Light Company

Bryan M Kitchener

Eric Davis Schwartz

Stephen S Cross

Adam David Meranda

Christopher S Collins

Michael T Rothenberg

A high frequency data recorder ('HFDR') can include a first set of contacts, on a first side of the HFDR, that are pluggable into a first meter receptacle of a meter box, wherein the first meter receptacle provides a connection to a power supply and a connection to a load. The HFDR also includes a second set of contacts, on a second side of the HFDR, that form a second meter receptacle. The second meter receptacle provides another connection to the power supply and another connection to the load. The HFDR can further include a processor that accesses a non-transitory machine readable memory that stores instruction that when executed cause the processor to passively measures current downstream from the meter box. The HFDR still further includes a wireless transceiver that wirelessly transmits data characterizing the measured current.

High frequency data transceiver and surge protection retrofit for a smart meter

A system for monitoring power flow at a premises can include a smart meter that measures coarse power flow data for the premises. The coarse power flow data characterizes power consumption and/or power generation. The system can also include a power data recorder having a first transceiver that communicates with the smart meter via a first protocol. The power data recorder can have a second transceiver that communicates with a node on a data mesh network via a second protocol. The smart meter transmits the coarse power flow data to a node on a meter mesh network in response to polling for the coarse power flow data, and the smart meter transmits the coarse power flow data to the power data recorder via the first protocol in response to detecting a fault condition or after a time interval has expired. The power data recorder encapsulates the coarse power flow data.

High-resolution data collection system with multiple data egress routes

Unmanned monitoring devices, such as unmanned aerial vehicles (UAV), drones or rovers may inspect system components within an area of interest (AOI) such an electric power distribution system including generation, transmission, and distribution elements for autonomous detection of damage to the components. Work orders for repairing the damage are autonomously generated and resources identified within the work orders are autonomously provisioned.

Remote autonomous inspection of utility system components utilizing drones and rovers

Unmanned monitoring devices, such as unmanned aerial vehicles (UAV), drones or rovers may survey an area of interest (AOI) such an electric power distribution system including generation, transmission, and distribution elements to automatically determine components in the AOI to be monitored. Types, placements locations, and pathways taken by other unmanned monitoring devices to facilitate the monitoring of the components of the AOI are also automatically determined.

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Boynton Beach, FL, United States of America

Bryan M Kitchener