Control method, control apparatus, and non-transitory computer-readable storage medium for storing program
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Solution Overview
Problem
Current air-conditioning control methods are inefficient as they fail to accurately infer the air-conditioning load, leading to excessive or inadequate cooling/heating, resulting in discomfort and increased energy consumption due to the influence of solar radiation and heat storage in building materials.
Innovation Solution
A control method that generates criterion information based on outdoor temperature, room temperature, and historical data to switch between operation modes, adjusting the air-conditioning load according to whether the room temperature is affected by outdoor temperature, thereby optimizing cooling/heating operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If air-conditioning control is performed using fixed target temperature settings and simple on/off control, then the control system remains simple and easy to operate, but the air-conditioning load cannot be accurately inferred leading to excessive or inadequate cooling/heating
Solution Approach 1:
The system performs preliminary actions by collecting historical operation data, outdoor temperature data, and room temperature data before actual air-conditioning control. This preliminary data collection and analysis enables accurate air-conditioning load inference without requiring complex real-time measurements, as the system has already processed relevant information in advance.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring room temperature, outdoor temperature, and operation history, then using this feedback to dynamically adjust control decisions. The criterion information generated from historical feedback data enables accurate load inference while maintaining simple control logic through pattern recognition rather than complex calculations.
2Reliability
If the air-conditioning apparatus operates continuously to maintain comfortable temperature, then user comfort is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts air-conditioning operation based on inferred load requirements rather than continuous operation. By using criterion information derived from historical data and current conditions, the system optimizes the timing and intensity of air-conditioning cycles, maintaining comfort reliability while reducing unnecessary energy consumption through adaptive control.
Solution Approach 2:
Instead of continuous operation, the system employs periodic air-conditioning cycles determined by accurate load inference. The periodic on/off control is optimized using criterion information that predicts when cooling or heating will be needed, ensuring comfort is maintained while allowing the system to rest and consume less energy between cycles.
3Use of energy by moving object
If the air-conditioning apparatus is turned on and off frequently to adapt to small air-conditioning loads, then energy efficiency is improved, but the number of on/off cycles increases causing user discomfort
Solution Approach 1:
The system applies partial action by adjusting target temperature settings based on inferred load rather than using full on/off cycles. When load is small, the system uses subtle temperature adjustments and extended off-periods to maintain energy efficiency while avoiding frequent on/off transitions that would cause discomfort, achieving a balance through partial control actions.
Solution Approach 2:
The system changes operational parameters dynamically by adjusting target temperature settings based on criterion information and inferred load. Instead of binary on/off control, the system modifies temperature parameters to match actual load requirements, reducing on/off frequency while maintaining energy efficiency through parameter optimization rather than simple cycle control.
Data Source
AI summary
A control method includes: executing a generation process for generating criterion information based on an outdoor temperature, a room temperature of a space, and history information regarding an operation of an air-conditioning apparatus, the criterion information being information used for switching an operation mode of the air-conditioning apparatus between a first operation mode and a second operation mode, the first operation mode being configured to take an influence of the outdoor temperature into consideration, the second operation mode being different from the first operation mode, an air-conditioning load in the second operation mode being larger than an air-conditioning load in the first operation mode; and executing a control process for performing control of switching the operation mode of the air-conditioning apparatus to the first operation mode or the second operation mode based on the outdoor temperature, the room temperature of the space, and the criterion information.