Abstract:
The systems and methods described herein are directed to resource monitoring and resource consumption analytics. Resource usage is tracked through a gateway device monitoring resources using remote input sensors, and usage data is transmitted to a central processing unit whereby the data is interpreted and compared with usage over time and site conditions such as weather. For example, incoming usage data is compared with resource signatures in a signature library representing an ideal usage or historical usage for given site condition. This data is interpreted into simple command displays with alerts, alarms, thereby reporting and alerting to an end-user via multiple delivery mechanisms, of potential sources of resource waste or loss. Further, graphical user interfaces can present reports, alerts, or alarms, which can include easily interpreted recommendations to allow a non-skilled worker to take corrective procedures to maximize efficient use of the consumable resources.
Abstract:
Identification and tracking of major electric appliances by using aggregate power data obtained at the main breaker level of a residence or commercial establishment. Step power changes and power surges characterize appliances. These features are identified and the time of use and duration statistics are considered to match an observed sequence of power changes with the appliances being turned on and off. The time-dependent usage of appliances and their power consumption are then reconstructed.
Abstract:
An electronic electricity meter (102) for monitoring electrical power consumption due to a plurality of loads, comprising electric power sensor (506A, 506, 502, 504, 508) configured to register, optionally in a substantially real-time fashion, data indicative of aggregate power demand (202) of a number of loads coupled to a common electrical power source, such as one or more phases of a polyphase system, load tracker (506B, 506, 502, 504) configured to detect the effect of individual loads on the basis of distinctive load patterns in said data, wherein the tracker is configured to utilize a distinctive load pattern detected in said data as at least a basis for a reference pattern (304, 306, 308) for subsequent detections (304a, 306a, 308a) of the effect of the same load in the data, accuracy analyzer (506C, 506, 502, 504) configured to, on the basis of comparisons of subsequent detections with the corresponding references, determine (312, 314, 316) whether the comparisons relating to at least two, preferably three, loads each indicate the difference between the subsequently detected pattern and the corresponding reference exceeding a predetermined threshold, and notifier (506D, 506, 502, 504, 508) configured to send, provided that positive determination has taken place (318), a notification signal indicative of potential fault with the electricity meter towards an external entity (106, 108). Corresponding arrangement and method are presented.
Abstract:
The invention relates to a method for identifying at least one electrically powered device by a power supply device via a powerline connection, preferably for execution with a system according to one of the claims 24-27, comprising by the steps of a) Connecting the at least one electrically powered device via a powerline to core power supply, b) Sensing that a powerline connection is available by the at least one electrically powered device, c) Generating a specific load by modulation of the power according to a unique identifier of the at least one electrically powered device on the powerline connection, d) Sensing the generated specific load by the power supply device connected to the powerline connection, and e) Extracting the unique identifier information from the specific load by the power supply device. The invention also relates to an electrically powered device, a power supply device, a power distribution unit as well as a corresponding system.
Abstract:
A non-intrusive method of determining, in respect of a group of appliances that are arranged to consume a utility, an indication of a background level of consumption of the utility by the group of appliances, the method comprising: receiving a series of utility values representative of a total level of consumption of the utility by the group of appliances; determining, based on the received utility values, an indication of a background level of consumption of the utility; and outputting the determined indication of the background level of consumption of the utility.
Abstract:
We describe a system to provide feedback to a user of an appliance for energy saving, the system comprising: means for monitoring an energy consumption of the appliance; means for inferring a mode of use of the appliance from said power consumption; and means for providing feedback to said user responsive to said inferred mode of use to indicate how an amount of energy used by said appliance may be reduced. In some embodiments the means for monitoring power consumption comprises means for identifying one or more periods of operation of the appliance from data representing aggregate power consumption of a plurality of devices including the appliance. In embodiments the means for monitoring the power consumption comprises means for monitoring mains electricity power consumption of the plurality of devices. Alternatively the means for monitoring the power consumption may comprise, for example, a plug- through power sensing device.
Abstract:
A non-intrusive method of determining, in respect of a group of appliances that are arranged to consume a utility, an indication of a background level of consumption of the utility by the group of appliances, the method comprising: receiving a series of utility values representative of a total level of consumption of the utility by the group of appliances; determining, based on the received utility values, an indication of a background level of consumption of the utility; and outputting the determined indication of the background level of consumption of the utility.
Abstract:
A method and apparatus for carrying out noise reduction in data regarding parameter values comprising the steps of, making a series of measurements of parameter values at times separated by predetermined time intervals, forming a plurality of successive measurements into an array of measurements, performing n successive wavelet transforms on the array of measurements to produce an array of coefficients, comparing the values of the array of coefficients to a threshold value and, selectively changing the values of said coefficients based on their relationship to the threshold, to produce an array of filtered coefficients, and performing n successive inverse wavelet transforms on the array of filtered coefficients to produce an array of filtered measurements.
Abstract:
An energy consumption monitoring system comprises n electrical sensor (2), a processor (3) adapted to recognise appliances according to inputs from the sensor, and a user interface. The processor generates, in a training phase, an appliance energy profile for each of a plurality of appliances, and uses artificial intelligence functions to identify usage of a particular appliance according to sensor outputs and the appliance profiles. At least some profiles identify the associated appliance as one or a combination of resistive, inductive, or capacitive components, and at least some profiles identify predicted variation patterns for said components, and include parameter values for real power, reactive power, and power factor.