Apparatus and method for predicting amount of temperature change of target zone
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Solution Overview
Problem
Air conditioners are inefficiently controlled due to user ignorance or indifference, leading to discomfort and increased power consumption, as managers manually set temperatures without considering the actual temperature changes in a space.
Innovation Solution
An apparatus and method that predict temperature changes in a target zone by collecting and analyzing base information on indoor and outdoor temperature differences, using activity schedule, sunrise, and sunset times to calculate base relationship information, thereby minimizing unnecessary air conditioner operation and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the manager manually sets the desired temperature of the air conditioner, then the air conditioner can be controlled, but the control efficiency is low and power consumption increases due to ignorance or indifference
Solution Approach 1:
The system automatically collects base information about the target zone's thermal characteristics and uses this data to predict temperature changes, enabling the air conditioner to self-regulate without manual intervention. The processor automatically determines driving conditions based on predicted temperature changes, eliminating the need for manager intervention while optimizing power consumption.
Solution Approach 2:
The system collects base information about the target zone's temperature characteristics and uses this feedback to predict future temperature changes. This feedback mechanism allows the system to adjust air conditioner operation proactively, preventing unnecessary operation and reducing power consumption while maintaining comfort.
2Use of energy by moving object
If the manager sets the desired temperature high, then power consumption is reduced, but users feel uncomfortable due to heat
Solution Approach 1:
The system performs preliminary analysis by collecting base information about the target zone's thermal characteristics and predicting temperature changes before the air conditioner operates. This allows the system to determine the optimal driving condition in advance, ensuring user comfort is maintained while minimizing power consumption by avoiding unnecessary operation.
Solution Approach 2:
The system changes the operational parameters of the air conditioner by determining driving conditions based on predicted temperature changes rather than fixed manual settings. This dynamic parameter adjustment ensures the air conditioner operates only when necessary, balancing power consumption with user comfort.
3Reliability
If the manager sets the desired temperature low, then user comfort is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary temperature change prediction using collected base information before the air conditioner operates. This allows the system to determine the optimal driving condition in advance, ensuring user comfort is maintained while minimizing power consumption by avoiding unnecessary operation.
Solution Approach 2:
The system dynamically adjusts the air conditioner's operational parameters by determining driving conditions based on predicted temperature changes rather than fixed low temperature settings. This ensures the air conditioner operates at optimal levels, maintaining user comfort while reducing power consumption.
4Reliability
If the air conditioner operates continuously to maintain temperature, then user comfort is ensured, but power consumption increases due to unnecessary driving
Solution Approach 1:
The system performs preliminary temperature change prediction using base information collected during late night time sections before the air conditioner operates. This allows the system to determine the optimal driving condition in advance, ensuring temperature control is maintained while minimizing power consumption by avoiding unnecessary operation.
Solution Approach 2:
The system uses feedback from predicted temperature changes to determine whether air conditioner operation is necessary. This feedback mechanism allows the system to maintain temperature control reliability while reducing power consumption by operating only when predicted temperature changes indicate a need for intervention.
Data Source
AI summary
An apparatus and a method for predicting an amount of temperature change of a target zone are provided. The method includes collecting a plurality of base information, and calculating base relationship information between an indoor/outdoor temperature difference of the target zone and an amount of temperature change of the target zone on the basis of the plurality of base information. Each of the plurality of base information is information on the amount of temperature change of the target zone according to the indoor/outdoor temperature difference of the target zone during a late night time section, and the late night time section is set on the basis of at least one of activity schedule information, a sunrise time point, and a sunset time point of the target zone.