Air Conditioner Using Mobile Agent for Space-Aware Cooling Control
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Solution Overview
Problem
Current air conditioning systems struggle to provide optimal cooling in indoor spaces due to the lack of consideration for the structure and situation of the space, leading to inefficient cooling and increased costs from the need for multiple sensors to detect various situations.
Innovation Solution
An air conditioner that uses feature information from a moving agent to determine the type and situation of the indoor space, adjusting settings such as temperature, wind volume, and wind direction for optimal cooling, thereby eliminating the need for multiple sensors and improving cooling efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are installed to detect various situations in the indoor space, then the cooling control precision is improved, but the device complexity and cost increase
Solution Approach 1:
The patent introduces a moving agent (robot) as an intermediary that carries sensors to collect environmental data. Instead of installing multiple fixed sensors throughout the space, the mobile robot moves through different zones to gather temperature, humidity, and occupancy information, thereby reducing the overall sensor infrastructure while maintaining measurement precision.
Solution Approach 2:
The system uses information collected by the moving agent to create a digital representation of the indoor space conditions. This copied information is then used by the air conditioner controller to adjust cooling settings, eliminating the need for direct sensor installation in every monitored location.
2Ease of operation
If cooling is performed according to user settings without considering indoor space structure, then the ease of operation is improved, but the cooling efficiency and uniformity deteriorate
Solution Approach 1:
The system performs preliminary detection of the indoor space structure and characteristics using the moving agent before initiating cooling operations. The robot maps the space layout, identifies different zones, and detects structural features in advance, allowing the air conditioner to pre-adjust cooling parameters for optimal efficiency while maintaining simple user operation.
Solution Approach 2:
The cooling system dynamically adapts its operation based on the detected indoor space structure. The controller adjusts wind direction, wind volume, and temperature settings according to the mapped layout and detected zones, enabling efficient cooling that responds to spatial variations while requiring minimal user input.
3Manufacturing precision
If the air conditioner adjusts cooling parameters based on detailed indoor space detection, then the cooling uniformity is improved, but the loss of time for detection and processing increases
Solution Approach 1:
The moving agent performs space detection and mapping in advance before the cooling operation begins. By completing the structural analysis and zone identification beforehand, the system prepares the cooling parameters in advance, minimizing the time delay during actual cooling while ensuring accurate and uniform temperature distribution.
Data Source
AI summary
An air conditioner is disclosed. An air conditioner according to an embodiment of the present disclosure comprises: a casing including a compressor, an inlet, and an outlet; a fan motor, installed inside the casing, for blowing air; a discharge vane provided movably in the outlet; a vane motor for operating the discharge vane; a communication unit for communicating with a moving agent moving in an indoor space; and a processor for receiving feature information related to a structure of the indoor space acquired by the moving agent, acquiring the type of the indoor space by using the feature information, and adjusting at least one of a set temperature, an airflow volume, and a wind direction by controlling at least one of the compressor, the fan motor, and the vane motor.