Air conditioning control system, air conditioner, and machine learning device
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Solution Overview
Problem
Existing air conditioners struggle to uniformly control room temperature, leading to local hot spots and inefficient power usage due to uniform air volume settings.
Innovation Solution
An air conditioning control system with a learning unit that adjusts temperature settings for specific areas within a room using wind direction, refrigerant, and air volume data, allowing for independent temperature control of multiple zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform air volume settings are used in air conditioners, then the device complexity is reduced and ease of operation is improved, but temperature uniformity deteriorates and local hot spots are generated
Solution Approach 1:
The patent divides the air conditioning system into multiple independent control zones, each with its own temperature sensors and control parameters. The room space is segmented into different areas that can be controlled independently, allowing non-uniform temperature distribution to be achieved intentionally rather than being a result of poor mixing. This resolves the contradiction by maintaining simple operation at the system level while achieving temperature uniformity through distributed local control.
Solution Approach 2:
The patent implements different air volume settings and temperature control parameters for different locations within the room. Instead of uniform control, each zone has optimized local parameters based on its specific thermal characteristics and occupancy requirements. This allows the system to maintain simplicity of operation while achieving temperature uniformity across different areas through localized adjustments.
2Stability of the object's composition
If air volume is increased to improve temperature uniformity, then temperature distribution improves, but energy consumption increases
Solution Approach 1:
The patent implements dynamic air volume control that adjusts airflow rates based on real-time temperature measurements and zone requirements. The system transitions from static uniform air volume settings to dynamic variable settings, increasing air volume only in zones that require it and maintaining lower volumes in zones that have achieved target temperatures. This resolves the contradiction by achieving temperature uniformity through targeted dynamic adjustment rather than continuous high-volume operation.
Solution Approach 2:
The patent changes the control parameter from fixed uniform air volume to variable zone-specific air volume. By allowing air volume to vary as a parameter across different zones and over time, the system achieves temperature uniformity only where needed while minimizing overall energy consumption. The learning unit进一步优化s these parameter changes based on historical data.
3Measurement precision
If multiple temperature zones are controlled independently, then user comfort and temperature precision are improved, but device complexity increases
Solution Approach 1:
The patent implements a universal control architecture where a single air conditioning unit performs multiple functions: it can operate in uniform mode for the entire room or switch to multi-zone mode with different temperature settings for different areas. The same hardware infrastructure (sensors, actuators, control unit) supports both operational modes, avoiding the need for separate dedicated systems for each zone. This resolves the contradiction by achieving temperature precision through a versatile system that maintains reasonable complexity.
Solution Approach 2:
The patent incorporates a learning unit that automatically optimizes control parameters for multiple zones based on historical temperature data and user preferences. The system performs self-adjustment and adaptation, reducing the need for complex manual configuration and intervention. The learning algorithm automatically determines optimal air volume settings and temperature targets for each zone, simplifying the user interface while maintaining high temperature precision through sophisticated autonomous control.
Data Source
AI summary
An air conditioning control system includes an air conditioner, a setting unit, a control unit and a learning unit. The air conditioner performs air conditioning in a room. The setting unit sets a first temperature and a second temperature. The first temperature is a target temperature for a first area in the room. The second temperature is a target temperature for a second area in the room. The control unit controls the air conditioner so that a temperature of the first area approaches the first temperature and a temperature of the second area approaches the second temperature. The learning unit learns control of the air conditioner so that the temperature of the first area approaches the first temperature and the temperature of the second area approaches the second temperature.