Method and apparatus for controlling electric heating of air conditioner compressor
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Solution Overview
Problem
Air conditioner compressors consume a large amount of standby power due to the need for continuous electric heating when in a standby state, leading to high energy consumption, as the outdoor environment's change trend cannot be predicted in advance.
Innovation Solution
A method and device that monitor the shutdown duration of the air conditioner compressor, acquire weather forecast data, and generate a control strategy to start and stop electric heating based on temperature trends within preset duration thresholds, reducing unnecessary heating during non-ascending temperature periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the electric heating belt of the compressor is always enabled during standby process, then the reliability of the compressor is ensured, but the power consumption increases significantly (more than 70% of standby power)
Solution Approach 1:
The patent applies dynamics by transitioning the electric heating control from a static always-on state to a dynamic state that adapts to weather conditions. The system dynamically adjusts heating activation based on real-time temperature data and predicted temperature trends, enabling the heating to be turned on or off appropriately during standby periods while maintaining compressor reliability.
Solution Approach 2:
The patent implements preliminary action by acquiring weather forecast data in advance and analyzing temperature change trends before making heating decisions. The system predicts future temperature conditions and proactively controls the electric heating accordingly, rather than reacting after the compressor is already affected by temperature changes.
2Object-affected harmful factors
If the electric heating belt is continuously operated during standby, then the compressor is protected from temperature-related damage, but energy efficiency is significantly reduced
Solution Approach 1:
The patent applies feedback by continuously monitoring both real-time temperature conditions and predicted temperature trends from weather forecasts. The system uses this feedback information to intelligently control the electric heating belt, turning it on only when temperature conditions indicate potential harm to the compressor and turning it off when conditions are safe, thereby reducing energy loss while maintaining protection.
3Productivity
If weather forecast data is acquired and analyzed, then optimal control strategy for electric heating can be generated, but system complexity increases
Solution Approach 1:
The patent uses weather forecast data as an intermediary element that bridges the gap between environmental conditions and compressor control decisions. Rather than directly sensing and reacting to immediate temperature changes, the system uses forecast data as a mediator to predict future conditions and make informed heating control decisions, achieving better energy efficiency with manageable system complexity.
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 approach significantly reduces standby power consumption by optimizing electric heating usage according to weather forecasts, thereby enhancing the overall energy efficiency of air conditioners.
Implementation Method 1
an electric heating belt of the compressor should always be enabled during a standby process
Data Source
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AI summary
Provided are a method and device for controlling electric heating of an air conditioner compressor. The method may include: first request information is transmitted to a corresponding database server at an interval of a first preset duration, as to acquire weather forecast data of an area where an air conditioner is located within an upcoming second preset duration; the weather forecast data returned by the database server is received and stored in a built-in database of the air conditioner; it is monitored to learn that a shutdown duration of the air conditioner compressor exceeds a third preset duration threshold, as to to acquire the weather forecast data stored in the built-in database of the air conditioner; and a control strategy is generated according to the weather forecast data, to control the air conditioner compressor to start and stop electric heating. The problem in the related art that the air conditioner compressor consumes a large amount of standby power because the compressor still needs a lot of electric heating when the air conditioner is in a standby state is solved, an electric heating startup time when the air conditioner is in a standby state is reduced, and energy consumption is decreased.