Automatic temperature controlling method and device
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Solution Overview
Problem
Existing methods for automatically adjusting indoor temperatures fail to reflect variations in environmental information, leading to reduced energy efficiency and user inconvenience, as they do not account for outdoor temperature changes or user presence patterns.
Innovation Solution
A method that determines setting temperature control information by combining user-set temperature patterns with predicted environmental information, such as outdoor temperature, humidity, and occupancy, to dynamically adjust indoor temperatures based on control durations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic temperature adjustment is performed using only user's temperature setting pattern, then automation is improved, but adaptability to environmental variations deteriorates
Solution Approach 1:
The patent merges two temperature determination approaches: (1) automatic determination based on user's historical temperature setting patterns, and (2) manual user input for current desired temperature. The system combines these by using the pattern-based automatic temperature as a reference and allowing user input to override or adjust it, thereby achieving both automation and adaptability to environmental variations.
2Device complexity
If temperature control ignores environmental information, then device complexity is reduced, but energy efficiency deteriorates
Solution Approach 1:
The system performs preliminary action by collecting and analyzing user's historical temperature setting patterns in advance. This pre-collected pattern information is then used to automatically determine appropriate temperatures without requiring real-time complex environmental analysis, thereby maintaining low device complexity while improving energy efficiency through pattern-based predictive control.
3Adaptability or versatility
If user manually resets temperature frequently, then adaptability to environmental changes is improved, but ease of operation deteriorates
Solution Approach 1:
The system implements self-service by automatically determining temperature settings based on pre-collected user patterns. The automatic temperature determination function serves itself by utilizing historical data without requiring continuous user intervention. Users only need to provide occasional manual inputs when environmental conditions significantly deviate from normal patterns, greatly reducing the frequency of manual resets while maintaining adaptability.
Data Source
AI summary
The present disclosure relates to a technology for Sensor Networks, Machine to Machine (M2M), Machine Type Communication (MTC), and Internet of Things (IoT). The present disclosure may be used for an intelligent service (smart home, smart building, smart city, smart car or connected car, health care, digital education, retail business, security and safety-related service, etc.) that is based on the above technologies. The present invention, with respect to a set temperature control method, is characterized by comprising the steps of: setting a control section which is a time section for controlling a set temperature in a certain space; collecting user set temperature information according to weather information for each control section, and predicted weather information; determining set temperature control information for each of the control sections on the basis of the collected set temperature information; and controlling the set temperature in the certain space on the basis of the set temperature control information determined for each of the control sections and the predicted weather information.