Method for controlling air conditioner based on operation power, air conditioner, and readable storage medium
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Solution Overview
Problem
Traditional air conditioner energy-saving methods based on operation frequency adjustment cause temperature fluctuations and overheating due to backward feedback principles, leading to poor user experience and ineffective energy savings.
Innovation Solution
A method for controlling air conditioners by constructing a power prediction model to adjust operation parameters before overheating or frequency fluctuation occurs, using a mapping relationship between controllable and uncontrollable parameters to determine a target operation parameter combination that meets a target operation power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If traditional backward feedback control based on genetic algorithm is used to adjust operation frequency for energy saving, then power consumption is reduced, but temperature fluctuations and overheating occur
Solution Approach 1:
The patent applies preliminary action by predicting future operation power and determining target operation parameters in advance, before the air conditioner actually operates. The prediction model forecasts operation power based on current parameters, and the optimization model determines optimal parameters beforehand, preventing temperature fluctuations before they occur rather than reacting to them afterward.
Solution Approach 2:
The patent implements feedback by using predicted operation power as feedback to continuously optimize operation parameters. The system predicts future power consumption, compares it with target values, and adjusts parameters accordingly, creating a closed-loop control system that maintains temperature stability while reducing power consumption.
2Use of energy by moving object
If operation frequency is adjusted for energy saving, then power consumption decreases, but cooling capacity fluctuates
Solution Approach 1:
The patent applies parameter changes by optimizing multiple operation parameters simultaneously (compression ratio, superheat degree, subcooling degree, evaporating temperature, condensing temperature) rather than simply adjusting frequency. This multi-parameter optimization maintains cooling capacity while reducing power consumption through coordinated parameter adjustments.
Solution Approach 2:
The patent implements dynamics by making operation parameters adaptive and dynamic rather than fixed. The system continuously predicts operation power and adjusts parameters in real-time based on changing conditions, allowing the air conditioner to dynamically maintain optimal performance across varying operating conditions.
3Use of energy by moving object
If backward feedback control is used, then energy saving is achieved, but response time is delayed causing overheating
Solution Approach 1:
The patent eliminates response time delay by performing preliminary action - predicting future operation power and determining optimal parameters before the actual operation cycle begins. This forward-looking approach removes the time lag inherent in backward feedback systems, allowing the air conditioner to respond proactively to prevent overheating.
Data Source
AI summary
A method for controlling an air conditioner based on an operation power, an air conditioner and a readable storage medium are provided. The method includes: obtaining uncontrollable operation parameters of the air conditioner; based on the uncontrollable operation parameters, predicting an operation power corresponding to each parameter combination of the controllable operation parameters of the air conditioner; there are at least two controllable operation parameters, and the operation power corresponds to a parameter combination formed by means of combining parameters among all of the controllable operation parameters; and controlling the air conditioner to operate according to a target operation parameter combination.