Air Conditioner Performance Diagnosis Using Adaptive Reference Models
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Solution Overview
Problem
Existing air conditioner performance diagnosis systems fail to accurately predict performance degradation and require maintenance, especially in systems with dimensional errors, varying installation conditions, and changing operating conditions, leading to inefficient energy use and comfort issues.
Innovation Solution
A performance diagnosis device that collects and records operation data, creates and updates reference data to reflect unique device and installation conditions, allowing for accurate performance evaluation and maintenance planning, even in systems that have undergone changes over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed reference COP estimation model is used for chiller deterioration diagnosis, then the model can be created using available operating data, but the model becomes inaccurate when dimensional errors, installation condition differences, or operating condition changes occur
Solution Approach 1:
The reference COP estimation model is transformed from a static fixed model to a dynamic adaptive model that automatically updates its parameters based on actual operating data. The system continuously learns from operational patterns and adjusts the reference values to reflect current device and installation conditions, thereby maintaining high diagnostic accuracy despite dimensional errors, installation variations, or operating condition changes.
Solution Approach 2:
The system implements a feedback mechanism where actual operating data is continuously compared against the reference COP estimation model. The deviations between actual performance and reference performance are fed back to update and refine the model parameters, enabling the system to adapt to changing conditions and maintain accuracy over time.
2Ease of operation
If maintenance is performed during high cooling load periods, then maintenance can be done when the air conditioner is actively cooling, but comfort is significantly impaired
Solution Approach 1:
The system performs preliminary deterioration diagnosis and predicts future maintenance needs before they become critical. By continuously monitoring performance degradation trends and comparing them against the adaptive reference model, the system can schedule maintenance activities in advance during low-load periods, preventing performance degradation that would require urgent maintenance during high-demand periods.
Data Source
AI summary
A performance diagnosis device performs data collection of operation data of an air conditioner, and a model database indicates performance corresponding to each operating condition of the air conditioner. The device uses the operation data and the model database to obtain reference data that is a combination of a plurality of operating conditions and a reference value. A performance evaluation unit compares the reference data and evaluation data that is to be evaluated, and evaluates the performance of the air conditioner. A reference data update unit compares the reference data and the evaluation data when the operating conditions match with each other, and updates the reference data. As a result, the deterioration diagnosis technology can update unique reference values that reflect the dimensional errors of each device, differences in installation conditions, and differences in operating conditions to appropriate values with respect to the deterioration of the performance of air conditioners.