Air conditioner control method, air conditioner, server and computer-readable storage medium
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Solution Overview
Problem
Existing air conditioners lack an efficient method to determine the optimal start time for pre-conditioning a space based on the user's arrival time and environmental parameters, leading to either wasted energy or delayed comfort.
Innovation Solution
An air conditioner control method that acquires the user's position and detects when they meet a preset condition, allowing the air conditioner to start operating with a target parameter set based on the time required to reach comfortable indoor conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If the air conditioner is started early before the user arrives home, then the indoor environmental parameters can reach the target comfortable conditions, but electric energy is wasted
Solution Approach 1:
The air conditioner performs preliminary cooling or heating action before the user arrives home, but the timing is optimized based on calculated parameters. The system determines the exact start time by considering the thermal mass of the building, outdoor temperature conditions, and target indoor temperature, ensuring the environment is ready just as the user arrives, avoiding both early startup waste and late startup discomfort.
2Loss of energy
If the air conditioner is not started timely, then electric energy is saved, but the air conditioner cannot create a comfortable environment for the users in time
Solution Approach 1:
The system continuously monitors outdoor temperature, user location, and building thermal characteristics to dynamically adjust the startup timing. By calculating the precise time required for the building to reach target temperature based on real-time conditions, the system provides feedback-driven control that prevents both energy waste from early startup and discomfort from delayed startup.
3Ease of operation
If the air conditioner uses fixed time startup, then the operation is simple, but it cannot adapt to varying environmental conditions and user arrival times
Solution Approach 1:
The system transitions from static fixed-time startup to dynamic adaptive startup. It calculates optimal startup time based on variable parameters including outdoor temperature, humidity, wind speed, building insulation properties, and real-time user location data. This dynamic approach automatically adapts to changing environmental conditions while maintaining simple user interaction through automated decision-making.
Data Source
AI summary
The present application discloses an air conditioner control method. The method includes obtaining a position of a user; detecting that the position of the user meets a preset condition, and obtaining a target operating parameter of an air conditioner, the preset condition being determined according to a preset running time span, and the preset running time span being determined according to a current environmental parameter and a target environmental parameter, and the current environmental parameter comprising at least one of a current indoor temperature, a current indoor humidity, a current air cleanliness and a current air freshness; and controlling the air conditioner at a target position to operate with the target operating parameter. The present application also discloses an air conditioner, a server and a computer readable storage medium.