Air conditioning control device and air conditioning control method
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Solution Overview
Problem
Conventional air conditioning control devices cannot determine which air conditioners to operate without acquiring layout data, posing a challenge in efficiently managing temperature in data centers and server rooms.
Innovation Solution
An air conditioning control device that uses processing circuitry to acquire operation patterns, temperature data, and generate a room-temperature prediction model to select the appropriate air conditioners for operation based on predicted temperatures, eliminating the need for layout data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If layout data is acquired to determine which air conditioners to operate, then the determination accuracy is improved, but the system complexity and data acquisition difficulty increase
Solution Approach 1:
The system uses temperature sensors installed in the room to autonomously measure temperatures and generate operation patterns without external layout data. The air conditioning control device self-determines which air conditioners to operate by analyzing temperature distribution from sensor data, eliminating the need for manual layout data acquisition and reducing system complexity.
Solution Approach 2:
The patent replaces the mechanical/data-intensive approach of acquiring and processing layout data with a sensor-based thermal field measurement approach. Temperature sensors directly measure the thermal environment, and the control device uses this physical measurement data to determine air conditioner operation, substituting complex data acquisition with straightforward physical sensing.
2Reliability
If more air conditioners are operated to maintain temperature, then temperature control reliability is improved, but power consumption increases
Solution Approach 1:
The system determines air conditioner operation based on local temperature conditions measured by sensors in different room positions. By analyzing temperature distribution patterns, the control device selectively operates only the air conditioners needed for specific local areas, rather than running all air conditioners uniformly, thus maintaining temperature reliability while reducing overall power consumption.
Solution Approach 2:
The system operates air conditioners partially or selectively based on actual temperature needs rather than continuously or universally. By using operation patterns that activate only necessary air conditioners under specific temperature conditions, the system achieves adequate temperature control with reduced energy consumption compared to running all air conditioners at full capacity.
3Use of energy by moving object
If operation patterns are generated and prediction models are created to optimize air conditioner selection, then power consumption is reduced, but the processing time and computational complexity increase
Solution Approach 1:
The system pre-generates multiple operation patterns and creates prediction models in advance based on historical temperature data and air conditioner performance. These pre-prepared patterns and models are stored and can be quickly referenced when temperature control is needed, avoiding the need to perform complex calculations in real-time, thus reducing processing time while maintaining power consumption optimization.
Data Source
AI summary
An air conditioning control device includes: an operation pattern acquiring unit to acquire operation patterns indicating an operation target air conditioner in a room; a temperature data acquiring unit to acquire temperature data indicating a temperature measured by a temperature sensor when the air conditioner is in operation: a prediction model generating unit to generate, using a control amount of the air conditioner and temperature data acquired when the air conditioner is in operation as training data, a room-temperature prediction model for predicting the temperature measured by the temperature sensor when the air conditioner are in operation; and an operation pattern selecting unit to provide the control amount of the air conditioner to the room-temperature prediction model to acquire a prediction temperature from each of the room-temperature prediction models, and selects one operation pattern from the operation patterns on the basis of the prediction temperature.