Air conditioner and control method thereof
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Solution Overview
Problem
Existing air conditioners require manual adjustment of operating parameters to fit user requirements, which is inconvenient and often fails to meet varying conditions, especially in commercial settings, leading to a deterioration in user experience.
Innovation Solution
A control method for air conditioners that acquires time period and operating parameter information, allowing the setting of operation templates such as daily, weekly, monthly, and yearly templates, enabling automatic adjustment of operating states to match user needs without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustment of operating parameters is required, then the air conditioner can be controlled to meet specific user needs, but the ease of operation deteriorates due to frequent manual interventions
Solution Approach 1:
The system performs preliminary action by automatically adjusting operating parameters based on pre-set rules and historical data before the user needs to manually intervene. The controller proactively modifies temperature, wind speed, and operating mode according to external conditions such as outdoor temperature, humidity, and air quality, eliminating the need for frequent manual adjustments while maintaining adaptability to user comfort requirements
Solution Approach 2:
The air conditioner implements self-service by autonomously monitoring external environmental conditions and automatically adjusting its operating parameters without user intervention. The system uses sensors to detect outdoor temperature, humidity, and air quality, then the controller autonomously determines optimal operating modes, temperature settings, and wind speed levels, allowing the device to serve itself in adapting to changing conditions while maintaining user comfort
2Ease of manufacture
If operating parameters are reset each time the air conditioner is turned on, then the device can start with default settings, but the loss of time increases due to repeated manual reconfiguration
Solution Approach 1:
The system performs preliminary action by storing operating parameter settings from previous sessions and automatically restoring them when the air conditioner is turned on. The controller retrieves saved temperature, wind speed, and mode preferences from memory, allowing the device to start with personalized settings rather than defaults, thereby eliminating the time-consuming manual reconfiguration process while maintaining simple startup operation
Solution Approach 2:
The air conditioner implements self-service by automatically saving and restoring its operating parameters without user intervention. When powered off, the system stores current operational settings in memory; upon power-on, it automatically retrieves and applies these saved parameters, enabling the device to service itself in maintaining user-preferred configurations across power cycles, thus eliminating repeated manual reconfiguration time
3Device complexity
If the air conditioner adjusts operating states based on current operating parameters only, then the control logic remains simple, but the adaptability to varying environmental conditions deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring external environmental conditions through sensors (outdoor temperature, humidity, air quality) and using this information to dynamically adjust operating parameters. The controller receives real-time feedback from the environment and modifies temperature, wind speed, and operating mode accordingly, enabling the air conditioner to adapt to varying conditions while maintaining relatively simple control logic through rule-based decision making
Solution Approach 2:
The air conditioner achieves universality by integrating multiple sensing functions (temperature, humidity, air quality detection) and multiple operating modes (cooling, heating, air circulation) within a single unified control system. The controller can selectively activate different functions based on environmental conditions and user needs, allowing the device to adapt to diverse scenarios without requiring separate specialized systems, thus enhancing adaptability while keeping overall control logic manageable
Data Source
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AI summary
The present invention belongs to the technical field of air conditioners, and in particular relates to an air conditioner and a control method therefor. The present invention aims to solve the problem that it is difficult for the ways of adjusting parameters in existing air conditioners to fit the user's requirements well. To this end, the control method of the present invention includes the following steps: acquiring set parameter information; and setting an operation template for the air conditioner according to the parameter information. In the present invention, parameter information stored in a cloud may be acquired as the set parameter information, or parameter information input by a control terminal may be acquired as the set parameter information. Then, the operation template may be set according to the parameter information, that is, the user may select the parameter information stored in the cloud to set the operation template, so that the user does not need to set various parameter information by himself/herself, thereby effectively simplifying the user's operation; or, the user may also set the operation template by selecting the parameter information input by the control terminal itself, so that each parameter information can better fit the user's requirements on use, thereby maximally improving the user experience.