Power Signature Analysis for Device Identification
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Solution Overview
Problem
Current systems, such as smart meters, effectively monitor energy consumption but lack the ability to identify which devices within larger units, like factories or office blocks, are consuming energy, making it impractical to assess energy usage beyond manual methods.
Innovation Solution
A method and apparatus that derive a unique power signature for each electrical device based on its consumption patterns and location, using real-time data analysis and signal processing techniques to distinguish and identify individual devices within a building's electrical circuit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If smart meters are used to monitor energy consumption, then real-time energy usage data is obtained, but the ability to identify specific devices consuming energy is lost in larger units like factories or office blocks
Solution Approach 1:
The patent segments the aggregate energy consumption data into individual device-level data by analyzing power signatures. The monitoring system divides the overall energy consumption of a building into distinct components attributable to specific devices or appliances, enabling identification of individual device usage patterns from collective smart meter data.
Solution Approach 2:
The patent introduces power signature analysis as an intermediary technique between smart meter readings and device identification. By analyzing characteristic power consumption patterns and signatures, the system acts as a mediator that translates aggregate energy data into specific device-level information without requiring direct connection to each device.
2Loss of information
If manual assessment methods are used to identify energy-consuming devices, then device-level energy usage information can be obtained, but the process becomes unwieldy and impractical in larger environments
Solution Approach 1:
The patent enables devices to be automatically identified through their inherent power consumption characteristics. Each device effectively identifies itself by its unique power signature, eliminating the need for manual assessment or complex device registration systems. The monitoring system passively captures and analyzes these self-revealing power patterns.
Solution Approach 2:
The patent replaces manual mechanical assessment methods with automated electronic power signature analysis. Instead of physically inspecting or manually recording device usage, the system uses electronic analysis of power consumption patterns to automatically identify and track individual devices, significantly reducing operational complexity.
3Productivity
If aggregate energy monitoring is used in large buildings, then overall energy consumption is tracked, but actionable device-level insights are unavailable
Solution Approach 1:
The patent segments aggregate energy data into device-specific components through power signature analysis, enabling actionable insights at the individual device level while maintaining overall building energy monitoring capabilities.
Solution Approach 2:
The patent transforms energy management from tracking only aggregate consumption parameters to analyzing detailed power signature parameters. By examining characteristics such as power factor, harmonic content, and consumption patterns, the system extracts device-level information from aggregate measurements.
Data Source
Figure 1~2B
Figure 3
AI summary
An apparatus (12) and associated method of monitoring power consumption of an electrical device (22-27), the method comprising identifying (14) an electrical device using a power signature unique to that device, the power signature being derived from power consumption measurements (16), and location information; and monitoring power consumption of such an identified device.