Power Consumption Estimation via Correlation Database
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Solution Overview
Problem
Current methods for estimating power consumption in household information communication devices are costly and operationally intensive, lacking accurate environmental contribution calculations and efficient power demand adjustment techniques.
Innovation Solution
A power consumption estimation method utilizing a correlation database to acquire and present power consumption information based on operation state data, enabling power demand adjustment and environmental contribution calculation through a power consumption control device connected to household information communication devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement devices such as current meters, voltmeters, or power meters are installed to grasp power consumption, then power consumption measurement accuracy is improved, but installation costs and operational complexity increase
Solution Approach 1:
The patent creates a virtual model (correlation database) that copies and stores the relationship between operation states and power consumption from actual measurements. This model allows power consumption to be estimated without physical measurement devices, eliminating installation complexity while maintaining estimation accuracy through the pre-established correlation data.
Solution Approach 2:
The patent performs preliminary measurements and establishes correlation data between operation states and power consumption in advance. This pre-established correlation database enables future power consumption estimates to be made without requiring actual measurement devices during operation, resolving the contradiction between measurement accuracy and installation complexity.
2Measurement precision
If actual measurement is performed for environmental contribution calculation, then calculation accuracy is improved, but measurement range limitations and operational impracticality increase
Solution Approach 1:
The patent uses a virtual model (correlation database) that copies the relationship between operation states and power consumption to estimate environmental contribution. This approach overcomes the limited measurement range of physical devices by using operational data from various sources, enabling calculation across diverse scenarios without physical measurement constraints.
Solution Approach 2:
The patent introduces operation state information as an intermediary that links device operations to power consumption and environmental impact. This intermediary enables environmental contribution calculation based on operational data rather than direct power measurement, expanding adaptability while maintaining calculation accuracy through the correlation database.
3Loss of energy
If energy saving functions are activated through user settings via GUI, then power consumption reduction is achieved, but automation and remote control capability are reduced
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors operation state information, estimates power consumption using the correlation database, and automatically activates energy saving functions when appropriate. This closed-loop feedback enables automatic power consumption reduction without requiring manual user intervention, resolving the contradiction between energy saving effectiveness and automation level.
Solution Approach 2:
The patent enables the system to automatically manage its own power consumption by monitoring its operation state and autonomously activating energy saving functions based on the correlation database. This self-service capability eliminates the need for manual user configuration while achieving effective power consumption reduction, resolving the contradiction between energy saving and automation.
4Loss of energy
If demand response techniques are implemented for power consuming devices, then power demand adjustment is achieved, but system complexity and adjustment procedures increase
Solution Approach 1:
The patent creates a universal power consumption estimation system based on operation state information and correlation databases that can be applied to various household information communication devices regardless of their specific functions. This multi-functional approach enables power demand adjustment across different device types without requiring device-specific complex procedures, resolving the contradiction between power demand adjustment effectiveness and system complexity.
Data Source
AI summary
A power consumption estimation method is provided, which is performed by a power consumption control device including a correlation database that stores data indicating a correlation between an operation state and power consumption of at least one household information communication device. The power consumption estimation method includes an operation state information acquisition step of acquiring operation state information from each household information communication device, a power consumption acquisition step of acquiring power consumption of each household information communication device by referring to the correlation database by using the operation state information, and a presenting step of presenting power consumption information by function for the at least one household information communication device, based on the power consumption of each household information communication device.