Control method, apparatus, computer device and storage medium for preheating function of air conditioner
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Solution Overview
Problem
Existing air conditioner preheating functions are inefficient as they often waste energy by continuously heating when the unit is idle, as they lack user-specific usage pattern analysis to enable or disable preheating accordingly.
Innovation Solution
A control method that acquires and analyzes user air conditioner usage data on a weekly basis, calculates user habits, and determines attribute days to adjust the preheating function based on randomness and regularity indices, enabling preheating only when needed and disabling it when the unit is idle to conserve energy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the preheating function is enabled continuously to ensure rapid heating when needed, then the air conditioner readiness is improved, but energy consumption increases significantly during idle periods
Solution Approach 1:
The preheating function transitions from a static continuous operation mode to a dynamic adaptive mode. The control device dynamically adjusts the preheating state based on real-time analysis of user behavior patterns, historical data, and current environmental conditions. This allows the system to enable preheating only when truly needed while disabling it during idle periods, resolving the contradiction between maintaining readiness and reducing energy consumption.
Solution Approach 2:
The system implements a feedback mechanism by continuously monitoring user air conditioner usage data, analyzing behavior patterns, and using this information to adjust preheating control decisions. The control device receives feedback from multiple sources including user operations, environmental sensors, and historical data, then adapts the preheating function accordingly. This closed-loop feedback system enables the balance between ensuring rapid heating capability and minimizing unnecessary energy consumption during idle periods.
2Use of energy by moving object
If the preheating function is disabled during idle periods to save energy, then energy consumption is reduced, but the air conditioner may not be ready for rapid heating when the user needs it
Solution Approach 1:
The system performs preliminary actions by enabling the preheating function in advance based on predicted user needs.通过分析用户行为模式、历史使用数据和环境条件，系统在用户实际需要使用空调之前就提前启动预热功能，确保空调在用户需要时能够立即正常工作。这种预先行动的策略在保证快速响应能力的同时，避免了不必要的持续预热，从而解决了节能与快速响应之间的矛盾。
Solution Approach 2:
The preheating function transitions from a static continuous operation mode to a dynamic adaptive mode. The control device dynamically adjusts the preheating state based on real-time analysis of user behavior patterns, historical data, and current environmental conditions. This allows the system to enable preheating only when truly needed while disabling it during idle periods, resolving the contradiction between maintaining readiness and reducing energy consumption.
3Device complexity
If simple preheating control based on basic conditions is used, then the control logic is simple, but it causes unnecessary preheating during long idle periods leading to energy waste
Solution Approach 1:
The system implements self-service by automatically analyzing user behavior patterns, making intelligent decisions about when to enable or disable preheating, and executing control actions without requiring manual user input. The control device autonomously processes user usage data, applies analysis models, and adjusts preheating control strategies accordingly. This self-service capability enables the system to optimize energy consumption while maintaining heating readiness, resolving the contradiction between control simplicity and energy efficiency.
Solution Approach 2:
The system replaces simple mechanical threshold-based control logic with an intelligent analysis system that processes user behavior data and environmental information. Instead of using basic fixed conditions for preheating decisions, the system employs data-driven analysis models that adapt to individual user patterns. This substitution of mechanical control with intelligent analysis enables more precise energy management while maintaining relatively simple implementation through software-based decision-making.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method effectively conserves energy by enabling preheating only when required and disabling it during idle periods, improving user experience by ensuring the air conditioner is ready for use while minimizing energy waste.
Implementation Method 1
the preheating function for the compressor is generally used to heat the engine oil to help the unit start normally
Data Source
AI summary
A control method for a preheating function of an air conditioner includes: acquiring air conditioner usage data of a user within a predetermined period, and dividing the air conditioner usage data into different data groups on a weekly basis; acquiring a preset randomness index, regularity index and data proportion value; calculating a user habit output value based on the data groups and the data proportion value; determining an attribute day based on the user habit output value and a calendar system, and outputting a corresponding control instruction based on the randomness index, the regularity index and the attribute day determination result; calculating a preheating score and acquiring a minimum preheating time; and determining and executing enabling and disabling of the preheating function of the air conditioner based on the control instruction, the minimum preheating time and a current operating status of the air conditioner.