Air Conditioner Model Parameter Selection for Fast Calibration
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Solution Overview
Problem
Calibration of air conditioner models requires a significant amount of time due to the large number of parameters, especially in environments with varying customer factors, and existing techniques do not efficiently address this issue.
Innovation Solution
A failure diagnosis apparatus that selects and adjusts specific parameters of the air conditioner model based on the device's state, using a parameter selection unit to form adjustment groups and additional groups, thereby reducing the number of parameters needing calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all parameters of the air conditioner model are adjusted during calibration, then the calibration accuracy is improved, but the calibration time becomes excessively long
Solution Approach 1:
The patent segments the air conditioner model parameters into multiple groups based on their influence on different operating conditions. The parameter selection unit divides all parameters into a first parameter group (high influence) and a second parameter group (low influence), allowing calibration to focus on critical parameters first. This segmentation enables accurate calibration while reducing the number of parameters that need to be adjusted, thereby shortening calibration time.
Solution Approach 2:
The patent dynamically changes the set of parameters to be adjusted based on the operating condition of the air conditioner. The parameter selection unit selects different parameter groups according to the current operating state, adjusting only the relevant parameters for that condition. This approach maintains calibration accuracy for the current condition while reducing the overall calibration time across all conditions.
2Adaptability or versatility
If the air conditioner model is calibrated for all possible operating conditions, then the model's adaptability is improved, but the complexity of the calibration process increases
Solution Approach 1:
The patent makes the calibration process dynamic by allowing the parameter selection unit to adaptively select which parameters to adjust based on the current operating condition. Instead of a static calibration process that adjusts all parameters regardless of condition, the system dynamically determines the appropriate parameter group to calibrate, reducing process complexity while maintaining adaptability across different operating states.
Solution Approach 2:
The patent performs preliminary classification of parameters into different groups based on their influence characteristics before the actual calibration process. The parameter selection unit pre-establishes the relationship between operating conditions and parameter groups, so that during calibration, the system can quickly determine which parameters to adjust without complex real-time analysis, thereby reducing calibration process complexity.
Data Source
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AI summary
A failure diagnosis apparatus (100) calibrates an air conditioner model (191) by adjusting a value of a parameter of the air conditioner model (191) used when a simulation of operation of an air conditioner (200) is executed, and also includes a parameter selection unit (130). The parameter selection unit (130) selects from among parameters of the air conditioner model (191), each parameter that forms an adjustment parameter group that consists of at least one parameter whose value is a candidate to be adjusted when the air conditioner model (191) is calibrated based on a condition according to a state of the air conditioner (200).