Earth Networks, Inc.

Whisker Labs, Inc.

University System of Maryland

University of California

Aws Convergence Technologies, Inc.

Other

Eai Corporation

Eai Coporation

Eat Corporation

Rai Corporation

Christopher Dale Sloop

Robert S Marshall

Chonglin Liu

Stan Heckman

Donnie Bixler

John C Berends, Jr

Elena Novakovskaia

Thomas G Albro

Michael Siemann

Jungho Kim

David Oberholzer

Eric Hoppmann

Benjamin E Beroukhim

R William Mengel

Ralph Keeling

Lisa Welp-Smith

Scott Stickels

Emily Stickels

Ray F Weiss

Mark A Hoekzema

Ralph J Markson

Steven Gabriel

William J Paplawsky

Ralph Joseph Markson

Described herein are methods and systems for detecting electrical discharges that precede electrical fires in electrical wiring. One or more sensor devices coupled to a circuit detect one or more signal waveforms generated by electrical activity on the circuit. The sensor devices identify one or more transient signals within the one or more signal waveforms, and generate one or more transient characteristics based upon the identified transient signals. A server communicably coupled to the sensor devices receives the one or more transient characteristics. The server analyzes the one or more transient characteristics to identify one or more electrical discharge indications. The server generates one or more alert signals when one or more electrical discharge indications are identified.

Detection of electric discharges that precede fires in electrical wiring

Described herein are methods and systems for detection and notification of electrical power outages and power quality. A sensor coupled to a circuit transmits a keepalive packet to a server. The sensor detects an input signal generated by electrical activity. The sensor generates an output signal based upon the input signal. The sensor monitors the output signal. During a clock cycle, the sensor determines whether a rising edge occurred and transmits a fault packet to the server when the rising edge occurred prior to a predetermined clock value or when no rising edge occurred. The server receives the fault packet from the sensor and listens for keepalive packets. The server transmits a power outage notification when no keepalive packets are received for at least a defined time period after the fault packet is received. The server transmits a power restoration notification when one or more keepalive packets are subsequently received.

Methods and systems for detection and notification of power outages and power quality

Methods, systems, and computer program products are described herein for generating proxy reflectivity data associated with lightning activity. A computing device receives data associated with lightning activity for one or more geographical areas. The computing device determines the logarithmic scale of the combined in-cloud and cloud-to-ground flash rate (dBR) for one or more grids of lightning activity based on the received data. The computing device generates proxy reflectivity data based on the dBR of the grids, a rate of change of the dBR, and the geographical area of the lightning activity.

Using lightning data to generate proxy reflectivity data

Methods and apparatuses, including computer program products, are described for measuring greenhouse gas. A calibration device receives a first sample of atmospheric gas from a first port exposed to the earth's atmosphere. The calibration device receives a second sample of atmospheric gas from a second port exposed to the earth's atmosphere. The calibration device routes the first sample and the second sample to a measurement device for greenhouse gas analysis. The measurement device determines a characteristic of a greenhouse gas present in at least one of the first sample and the second sample. The measurement device transmits data associated with the determined characteristic of the greenhouse gas to a computing device for determining sinks and sources of the gas.

Network for measuring greenhouse gases in the atmosphere

Described herein are methods and systems, including computer program products, for determining a load control schedule for energy control devices using a load shifting optimization model and applying the load control schedule to adjust the energy control devices. A server receives thermodynamic models, energy price data and energy load forecast data. The server generates price probability distribution curves based upon the price data and load probability distribution curves based upon the load forecast data. The server executes a load shifting optimization model to determine a profit probability distribution curve for demand response decision rules. The server determines a profit curve that has an optimal profit value. The server generates a load control schedule based upon the optimal profit curve and generates operational parameters for energy control devices using the load control schedule. The server transmits the operational parameters to the energy control devices to adjust operational parameters.

Optimizing and controlling the energy consumption of a building

Described herein are methods and systems for identifying individual branch circuits coupled to a power distribution point. A sensor module positioned in proximity to the power distribution point and having a plurality of magnetic field sensors senses a magnetic field emitted by each of a plurality of branch circuits coupled to the power distribution point. A processor coupled to the sensor module determines a response of each magnetic field sensor to each of a plurality of changes in power associated with at least one of the plurality of branch circuits. The processor positions the responses of the magnetic field sensors to each change in power on a point in a multidimensional space, where each dimension of the multidimensional space corresponds to a magnetic field sensor. The processor identifies clusters of the points in the multidimensional space, each cluster representing a different branch circuit and having a different vector direction.

Remote sensing to derive calibrated power measurements

Methods, systems, and computer program products are described herein for generating proxy reflectivity data associated with lightning activity. A computing device receives data associated with lightning activity for one or more geographical areas. The computing device determines the logarithmic scale of the combined in-cloud and cloud-to-ground flash rate (dBR) for one or more grids of lightning activity based on the received data. The computing device generates proxy reflectivity data based on the dBR of the grids.

Methods and apparatuses, including computer program products, are described for predicting the potential for severe weather. A computing device receives data associated with lightning activity, where the data includes lightning flash data. The computing device identifies cells of lighting activity based upon the lightning flash data and determines a movement speed, a movement direction, and a lightning rate of the cells of lightning activity based on the received data. The computing device compares the determined lightning rate to a threshold lightning rate, where the threshold rate is set based upon atmospheric conditions in a location of the cells of lightning activity. The computing device determines one or more geographical areas at risk based on the location, the movement speed, and the movement direction of the cells of lightning activity, and issues an alert to remote devices when the lightning rate exceeds a value of the threshold lightning rate.

Predicting the potential for severe weather

Described herein are methods and systems for remote sensing to derive a calibrated power measurement for a power distribution point. Magnetic field sensors of a sensor module sense a magnetic field emitted by the power distribution point. A first processor generates an uncalibrated power measurement for each magnetic field sensor, the uncalibrated power measurement derived from the magnetic field sensed by the magnetic field sensor and a voltage carried by the power distribution point. A second processor determines a response of each magnetic field sensor to a known power load being drawn through the power distribution point. The second processor derives a transfer function using the response of each magnetic field sensor to the known power load. The second processor applies the transfer function to the uncalibrated power measurement for each magnetic field sensor to generate the calibrated power measurement for the power distribution point.

Described herein are methods and systems, including computer program products, for optimizing and controlling a building's energy consumption and comfort. A computing device receives measurements from a plurality of sensors, at least some of which are located inside the building, where the measurements include temperature readings and comfort characteristics. The computing device generates a set of thermal response coefficients based on energy characteristics of the building, the measurements from the sensors, and weather data associated with the building's location. The computing device predicts an energy response of the building based on the set of thermal response coefficients and forecasted weather. The computing device selects minimal energy requirements of the building based on an energy consumption cost associated with the building and determines energy control points based on the energy response and the minimal energy requirements. The computing device transmits the energy control points to comfort devices in the building.

Described are methods and apparatuses, including computer program products, for conveying vehicle driving information. A server computing device generates a hazard index for a plurality of road segments in a predefined coverage area. The server computing device determines a current hazard value for each of the plurality of road segments based on (i) weather conditions data associated with the road segments, (ii) road conditions data associated with the road segments, and (iii) physical attributes of the road segments. The server computing device determines a predicted hazard value for each of the plurality of road segments and assigns the present hazard value and predicted hazard value to the corresponding road segment. The server computing device receives location data associated with a remote device and transmits hazard information associated with one or more of the plurality of road segments based on the location data and the hazard index.

Method and apparatus for conveying vehicle driving information

Described herein are methods and systems, including computer program products, for optimizing and controlling the energy consumption of a building. A computing device generates thermal response coefficients for the building based on energy characteristics of the building and weather data associated with the location of the building. The computing device an energy response for each of a plurality of different points in time based on the thermal response coefficients and forecasted weather conditions. The computing device selects minimal energy requirements based on an energy consumption cost. The computing device determines a series of temperature set points based on the corresponding energy response and the minimal energy requirements. The computing device transmits the series of temperature set points to a thermostat, which adjusts operating parameters using each series of temperature set points when a time value matches the point in time associated with each series of temperature set points.

Growing community of inventors

Mount Airy, MD, United States of America

Christopher Dale Sloop