Power Usage Differential Conversion to Appliance Use Time
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Solution Overview
Problem
Conventional energy conservation systems fail to effectively convey the magnitude of power usage differences to users, leading to generalized advice that is not tailored to individual needs and inefficient energy saving behaviors, and require extensive memory capacity for storing multiple energy conservation tips.
Innovation Solution
A method that inputs power usage data for multiple user IDs, generates differential values, and converts these into use time for specific electric home appliances, providing personalized display data to users, thereby making energy-saving suggestions more relatable and efficient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional energy conservation systems provide generalized advice based on comparative power usage data, then users can receive energy conservation support, but users cannot effectively understand the magnitude of power usage differences leading to inefficient energy saving behaviors
Solution Approach 1:
The patent transforms the parameter representation from raw power usage values (kWh) to equivalent usage time of specific appliances (hours). This parameter change makes the magnitude of differences more intuitively understandable to users. For example, instead of showing 'you used 50 kWh more than average', the system shows 'this is equivalent to using an air conditioner for 10 additional hours', which is much easier to comprehend and act upon.
2Adaptability or versatility
If the system stores multiple energy conservation tips for different scenarios, then it can provide comprehensive advice, but it requires extensive memory capacity
Solution Approach 1:
The patent creates a universal advice generation mechanism that works across all appliance types and usage scenarios. Instead of storing separate tips for each appliance and scenario, the system uses a single conversion methodology (power usage to equivalent usage time) that can be applied universally. The advice generation logic remains consistent while adapting to different appliances, user behaviors, and consumption patterns, thereby reducing memory requirements while maintaining comprehensiveness.
3Adaptability or versatility
If the system provides generalized energy conservation advice, then it can be applied broadly, but it is not tailored to individual user needs reducing effectiveness
Solution Approach 1:
The patent applies local quality by customizing the advice content based on each user's specific appliance portfolio and usage patterns. While the underlying conversion methodology is universal, the actual advice generated is localized to each user's context. For example, the system identifies which specific appliances contribute most to excessive usage and provides targeted recommendations for those appliances, making the advice both broadly applicable and personally relevant.
Data Source
AI summary
A method includes: inputting information indicating power usage corresponding to each of a plurality of user IDs; generating a differential value between i) a first cumulative value of power usage corresponding to a first user ID in a prescribed period and ii) a second cumulative value of power usage corresponding to a second user ID in the prescribed period; generating a first conversion value by converting the differential value to a use time of an electric home appliance corresponding to a first type among electric home appliances corresponding to the first user ID; generating display data indicating that the differential value corresponds to the first conversion value; and transmitting the display data to an information terminal device corresponding to the first user ID.