Patent classifications
G01R21/001
SELF-CALIBRATING CONTACTLESS POWER CONSUMPTION SENSING
A method of sensing electrical power being provided to a structure using a sensing device, a calibration device, and one or more processing modules. The sensing device can include one or more magnetic field sensors. The sensing device can be attached to a panel of a circuit breaker box. The panel of the circuit breaker box can overlie at least a part of one or more main electrical power supply lines for an electrical power infrastructure of a structure. The calibration device can include a load unit. The calibration device can be electrically coupled to the electrical power infrastructure of the structure. The method can include automatically calibrating the sensing device by determining a first transfer function in a piecewise manner based on a plurality of ordinary power consumption changes in the structure. The method also can include determining a power consumption measurement using the one or more processing modules based on one or more output signals of the sensing device and the first transfer function. Other embodiments are provided.
POWER DETECTION CIRCUIT AND CONTROL CIRCUIT
A power detection circuit is provided for detecting current total input power of a resonant circuit. The power detection circuit includes a detection circuit and an estimation circuit. The detection circuit receives a current signal and obtains resonant-slot baseband power according to the current signal to generate the baseband power value. The current signal represents a resonant-slot current generated by the resonant circuit. The estimation circuit receives the baseband power value and estimates the current total input power according to the baseband power value to generate an estimated power value.
SELF-DRIVING BUILDING ENERGY ENGINE
Systems and methods dynamically assess energy efficiency by obtaining a minimum energy consumption of a system, receiving in a substantially continuous way a measurement of actual energy consumption of the system, and comparing the minimum energy consumption to the measurement of actual energy consumption to calculate a substantially continuous energy performance assessment. The system further provides at least one of a theoretical minimum energy consumption based at least in part on theoretical performance limits of system components, an achievable minimum energy consumption based at least in part on specifications for high energy efficient equivalents of the system components, and the designed minimum energy consumption based at least in part on specifications for the system components.
STATE DEPENDENT AND PATH DEPENDENT POWER ESTIMATION
This application discloses a computing system implementing a power estimator can read in waveform data generated during functional verification of a circuit design describing an electronic device, detect toggles in the signals of the waveform data, correlate the detected toggles in the signals to arcs associated with logic gates in the circuit design, and track a number of times each of the arcs has been correlated to the detected toggles. After the waveform data has been read, the power estimator can look-up power values for each arc having been correlated to a detected signal toggle, multiple the power values by the tracked number of times each of the arcs been correlated to the detected toggles to compute power estimates, and generate an estimate of power consumption for the circuit design during the functional verification by accumulating the power estimates for the arcs associated with the logic gates.
Reliable hardware metering
A baseboard management controller (BMC) installed in a server or other hardware device may perform operations to monitor and safeguard metering data for one or more hardware component of a server that includes the BMC. The BMC may periodically transmit a metering data message over a network to an event destination, where the metering data message includes the utilization levels of the hardware component during a period of operation. In response to detecting a loss of communication with the event destination, the BMC may perform lossy compression of the monitored utilization levels for the hardware component, wherein the lossy compression produces a utilization value that is representative of the monitored utilization levels, but uses less data storage capacity. The utilization value may be transmitted to the event destination instead of the monitored utilization levels in response to determining that communication with the event destination has been reestablished.
Energy search engine with autonomous control
Systems and methods dynamically assess energy efficiency by obtaining a minimum energy consumption of a system, receiving in a substantially continuous way a measurement of actual energy consumption of the system, and comparing the minimum energy consumption to the measurement of actual energy consumption to calculate a substantially continuous energy performance assessment. The system further provides at least one of a theoretical minimum energy consumption based at least in part on theoretical performance limits of system components, an achievable minimum energy consumption based at least in part on specifications for high energy efficient equivalents of the system components, and the designed minimum energy consumption based at least in part on specifications for the system components.
Self-calibrating contactless power consumption sensing
A system for sensing electrical power usage in an electrical power infrastructure of a structure. The system can include a sensing device configured to be attached to a panel of the circuit breaker box overlying at least part of the one or more main electrical power supply lines. The system also can include a calibration device configured to be electrically coupled to the electrical power infrastructure of the structure. The system further can include one or more processing modules configured to receive one or more output signals from the sensing device. The sensing device can be devoid of being electrically or physically coupled to the one or more main electrical power supply lines or the electrical power infrastructure when the sensing device is attached to the panel. Other embodiments are provided.
RELIABLE HARDWARE METERING
A baseboard management controller (BMC) installed in a server or other hardware device may perform operations to monitor and safeguard metering data for one or more hardware component of a server that includes the BMC. The BMC may periodically transmit a metering data message over a network to an event destination, where the metering data message includes the utilization levels of the hardware component during a period of operation. In response to detecting a loss of communication with the event destination, the BMC may perform lossy compression of the monitored utilization levels for the hardware component, wherein the lossy compression produces a utilization value that is representative of the monitored utilization levels, but uses less data storage capacity. The utilization value may be transmitted to the event destination instead of the monitored utilization levels in response to determining that communication with the event destination has been reestablished.
THREE-PHASE POWER METER MONITORING FOR STAR AND DELTA CONFIGURATIONS
A three-phase power meter can monitor power on both 3-wire and 4-wire power lines. The power meter measures at least two voltages between phase conductors of the power line, and at least one voltage between a phase conductor and a neutral conductor of the power line when the neutral conductor is available. Using at least some of the measured voltages, the power meter can then operate in a first mode when coupled to a 3-wire power line to determine power on the power line based on the measured voltages, or operate in a second mode when coupled to a 4-wire power line to determine power on the power line based on the measured voltages.
Method of determining mutual voltage sensitivity coefficients between a plurality of measuring nodes of an electric power network
The method for determining mutual voltage sensitivity coefficients between a plurality of measuring nodes of an electric power network does not rely on knowledge of the network parameters (for example: series conductance and susceptance of the branches, shunt conductance and susceptance of the nodes, etc.). The method uses a monitoring infrastructure including metering units at each one of the measuring nodes, and includes a step of measuring at the same time, at each one of the measuring nodes, repeatedly over a time window, sets of data including values of the current, the voltage, and the phase difference, a step of computing active power, reactive power and values from each set of measured data, and a step of performing multiple parametric regression analysis of the variations of the voltage at each one of the measuring nodes.