Electronic Apparatus Predicting Home Appliance Ownership via Power Consumption
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Solution Overview
Problem
Existing electronic apparatuses cannot effectively predict the types and number of home appliances in a household, especially those not registered, which hinders the provision of energy-saving services as they cannot obtain or control unregistered appliances' information.
Innovation Solution
An electronic apparatus that uses reference information from standard households and power consumption data to predict the types and number of home appliances in a target household by comparing monthly power consumption patterns, providing guide information based on these predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electronic apparatus only controls registered home appliances, then control reliability is improved, but service coverage deteriorates (cannot serve unregistered appliances)
Solution Approach 1:
The system creates a virtual model (copy) of unregistered home appliances by predicting their types and power consumption characteristics based on household power consumption data and standard appliance profiles. This virtual copy enables the electronic apparatus to provide control and energy-saving services for appliances without physical registration, thus expanding service coverage while maintaining system reliability through indirect monitoring and control methods.
2Adaptability or versatility
If electronic apparatus predicts appliance types using power consumption data, then service coverage is improved, but measurement precision deteriorates (difficulty in accurately identifying appliance types)
Solution Approach 1:
The system transforms the identification approach by changing from direct appliance identification to indirect characterization through power consumption parameter analysis. By extracting multiple parameters (power consumption patterns, timing characteristics, load profiles) and comparing them against standardized appliance profiles, the system achieves accurate appliance type prediction without direct measurement or registration, thus improving identification precision while expanding service coverage.
3Adaptability or versatility
If electronic apparatus provides energy-saving services for all appliances, then service coverage is improved, but device complexity increases (need to manage both registered and unregistered appliances)
Solution Approach 1:
The system segments appliance management into two distinct categories: registered appliances (direct control) and unregistered appliances (indirect control via prediction). This segmentation allows the electronic apparatus to apply different management strategies for each category, simplifying the overall system architecture. The prediction module handles unregistered appliances through standardized profiles, while registered appliances receive individualized control, reducing the complexity burden of managing diverse appliance types uniformly.
Data Source
AI summary
In an electronic apparatus, reference information stored on a memory includes standard appliance ownership information describing owned home appliances of at least one standard household and standard monthly power consumption information of the standard household. A processor obtains first monthly power consumption information of a first household which owns a first home appliance of a same type as a standard home appliance described in the standard appliance ownership information. Based on a difference between the standard and first monthly power consumption information being within a threshold range, the processor compares appliance monthly power consumption information of the standard home appliance and of the first home appliance, and, based on the result being within a threshold range, predicts first appliance ownership information on owned home appliances of the first household based on the standard appliance ownership information. The processor then provides guide information associated with the first appliance ownership information.