Automatic temperature controlling method and device
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Solution Overview
Problem
Existing temperature control methods for indoor spaces fail to adapt to variations in environmental information such as outdoor temperature, leading to user inconvenience and increased energy consumption, as they rely solely on user-set patterns without considering external conditions.
Innovation Solution
A method that determines setting temperature control information by combining user-set temperature patterns with environmental data, including outdoor temperature, humidity, and occupancy, to dynamically adjust indoor temperatures, using a server that predicts and responds to environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If temperature control is based solely on user-set patterns, then system simplicity is maintained, but adaptability to environmental changes deteriorates
Solution Approach 1:
A server acts as an intermediary between the temperature control system and environmental data sources. The server receives environmental information (outdoor temperature, humidity, occupancy), processes it along with user patterns, and generates optimized temperature control information that is sent back to the control device, thus enabling environmental adaptability without complicating the local control system
Solution Approach 2:
The temperature control system is enhanced to perform multiple functions: it not only follows user-set patterns but also automatically adapts to environmental changes by integrating environmental data processing, pattern recognition, and dynamic temperature optimization capabilities into a unified system
2Ease of operation
If temperature adjustments are made frequently to match environmental changes, then user convenience is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary actions by predicting future environmental changes and proactively adjusting temperatures in advance. By using environmental data and patterns to forecast temperature needs, the system makes preemptive adjustments that maintain comfort while avoiding excessive frequent changes, thus reducing energy consumption
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring environmental information and comparing it with user patterns and predicted conditions. This feedback loop enables the system to make intelligent, minimized adjustments only when necessary, balancing user convenience with energy efficiency by avoiding unnecessary temperature changes
3Loss of energy
If environmental information is integrated into temperature control, then energy efficiency is improved, but system complexity increases
Solution Approach 1:
The server serves as an intermediary that handles the complexity of environmental data integration, processing, and analysis. By offloading these complex functions to the server, the local temperature control device maintains simplicity while still benefiting from energy-efficient control based on environmental information
Solution Approach 2:
The system enables self-service by automatically integrating environmental information without requiring manual user intervention. The server autonomously collects environmental data, processes it against user patterns, and generates optimized control information, reducing the need for user input while achieving energy efficiency
Data Source
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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.