A system for measuring electrical network parameters may include a voltage sensing node of an electrical network with a first clock and a current sensing node of the electrical network with a second clock. At least one of the voltage sensing node and the current sensing node synchronizes the first clock with the second clock. The voltage sensing node samples a voltage signal from a voltage transducer and the current sensing node samples a plurality of current signals from respective current transducers. The voltage sensing node resamples the sampled voltage signal to determine corresponding resampled voltage signals, and the current sensing node resamples each of the sampled current signals to determine corresponding resampled current signals. The voltage sensing node communicates (1) corresponding re-sampled voltage signals and (2) a voltage time stamp based on the synchronized first clock associated with the sampled voltage signal to the current sensing node through a communication link. The system calculates electrical network parameters at the current sensing node based upon the re-sampled voltage signals and the re-sampled current signals.

A non-contact electric potential meter system to determine voltage between an AC conductor and a reference potential without direct electrical contact to the conductor. A housing provides a shielded measurement region that excludes other conductors and holds power supply means; an AC voltage sensing mechanism includes a conductive sense plate and an electrical connection to the reference potential. Waveform-sensing electronic circuitry obtains an AC voltage waveform induced by capacitive coupling between the conductor and the conductive sense plate. Capacitance-determining electronic circuitry obtains a scaling factor based on the coupling capacitance formed between the conductor and the conductive sense plate. Signal processing electronic circuitry uses the AC voltage waveform and the coupling capacitance-based scaling factor to obtain the voltage between the conductor and the reference potential.

A power monitoring device (PMD) can perform real-time remote managing, status reporting and analysis on the health/condition of equipment connected to the PMD. For example, a PMD provides data such as whether the equipment connected is idling, fully operating, malfunctioning, etc. The PMD can turn the power on/off, trigger system alert, and perform time-delayed or special profile programming to manage and monitor equipment usage. A power signature identification capability can identify what equipment such as monitor, laptop, lighting equipment, etc., are being connected. A configuration can be used by the power management device based at least in part on the waveform information (e.g., device model, activity status, etc.). Real-time diagnosis and collection of energy consumption and usage pattern can be aggregated for planning and management. Asset management can be enabled by discovering which models of devices are active and connected to a predetermined power management device.

A power monitoring device (PMD) can perform real-time remote managing, status reporting and analysis on the health/condition of equipment connected to the PMD. For example, a PMD provides data such as whether the equipment connected is idling, fully operating, malfunctioning, etc. The PMD can turn the power on/off, trigger system alert, and perform time-delayed or special profile programming to manage and monitor equipment usage. A power signature identification capability can identify what equipment such as monitor, laptop, lighting equipment, etc., are being connected. A configuration can be used by the power management device based at least in part on the waveform information (e.g., device model, activity status, etc.). Real-time diagnosis and collection of energy consumption and usage pattern can be aggregated for planning and management. Asset management can be enabled by discovering which models of devices are active and connected to a predetermined power management device.

The present disclosure provides an analysis device based on power consumption information about a treadmill. The analysis device includes: a current sensor configured to sense, in real time, a change in instantaneous current generated in the treadmill due to a variation in a load of an electric motor in a case in which a belt of the treadmill is driven while repeating rotational motion at a predetermined speed and an object to be measured exercises while stepping the belt according to the predetermined speed; and a processor configured to determine a movement pattern of the object to be measured based on a value of the change in instantaneous current sensed by the current sensor. Thus, it is possible to monitor a health status of the object to be measured.

The present disclosure provides an analysis device based on power consumption information about a treadmill. The analysis device includes: a current sensor configured to sense, in real time, a change in instantaneous current generated in the treadmill due to a variation in a load of an electric motor in a case in which a belt of the treadmill is driven while repeating rotational motion at a predetermined speed and an object to be measured exercises while stepping the belt according to the predetermined speed; and a processor configured to determine a movement pattern of the object to be measured based on a value of the change in instantaneous current sensed by the current sensor. Thus, it is possible to monitor a health status of the object to be measured.

An optimizable beacon and method of using the same. The beacon has an onboard power source with a finite capacity. The system uses a capacitor bank to adjust the capacitance of the beacon, thereby maximizing the signal provided considering conditions, rather than simply using a theoretical value. With the specified capacitance being used, the beacon may be optimized in both a high and low power mode by driving the current to ensure the measured power is greater than or equal to a target. The system may also have a motion sensor to toggle the power off, or to a low-power mode, when the beacon is moving, and location measurements are not taking place. The optimization process may also consider the chemistry of the battery being utilized.

An optimizable beacon and method of using the same. The beacon has an onboard power source with a finite capacity. The system uses a capacitor bank to adjust the capacitance of the beacon, thereby maximizing the signal provided considering conditions, rather than simply using a theoretical value. With the specified capacitance being used, the beacon may be optimized in both a high and low power mode by driving the current to ensure the measured power is greater than or equal to a target. The system may also have a motion sensor to toggle the power off, or to a low-power mode, when the beacon is moving, and location measurements are not taking place. The optimization process may also consider the chemistry of the battery being utilized.

A gas sensor includes: a substrate; a first conductor and a second conductor that are disposed on the substrate; an insulating layer; and an adsorbent layer. The insulating layer covers the first conductor and the second conductor, and has a first opening that allows a part of a surface of the first conductor to be exposed therethrough and a second opening that allows a part of a surface of the second conductor to be exposed therethrough. The adsorbent layer contains a conductive material and an organic adsorbent that can adsorb a gas. The adsorbent layer is in contact with the first conductor and the second conductor respectively through the first opening and the second opening.

A method for monitoring energy-related data in an electrical system includes processing energy-related data from or derived from energy-related signals captured by at least one intelligent electronic device in the electrical system to identify at least one variation/change in the energy-related signals. The method also includes determining if the at least one identified variation/change meets a prescribed threshold or thresholds, and in response to the at least one identified variation/change meeting the prescribed threshold or thresholds, characterizing and/or quantifying the at least one identified variation/change. Information related to the characterized and/or quantified at least one identified variation/change is appended to time-series information associated with the energy-related data, and characteristics and/or quantities associated with the time-series information are evaluated to identify at least one potential load type associated with the characterized and/or quantified at least one identified variation/change.