Air Conditioner Performance Diagnosis with Adaptive Reference Curves
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing air conditioner performance diagnosis methods struggle to accurately detect deterioration regardless of air conditioning load, especially in seasons with small loads, and fail to distinguish between deterioration and measurement errors.
Innovation Solution
A performance diagnosis device that collects operation data, uses an equipment characteristic database to create individual characteristic curved surface data, and compares this data with actual operation data to evaluate air conditioner performance, allowing for detection of deterioration across varying loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maintenance work is performed during midsummer season with large cooling load, then system performance deterioration can be addressed, but building comfort is significantly impaired
Solution Approach 1:
The system performs preliminary diagnosis and prediction of performance deterioration using operation data collected during normal operation. By predicting deterioration trends before they become severe, maintenance can be scheduled in advance during periods when building comfort is less affected, thus resolving the contradiction between maintaining system performance and ensuring comfort.
2Loss of time
If performance diagnosis is performed during season with small cooling load, then maintenance timing can be optimized, but deterioration detection accuracy deteriorates due to measurement errors
Solution Approach 1:
The system continuously collects operation data and uses machine learning models to predict performance deterioration trends over time. By accumulating feedback from historical operation data and comparing actual performance against predicted trends, the system can accurately detect deterioration even during low-load periods when individual measurements have higher uncertainty.
Solution Approach 2:
The system performs preliminary data collection and analysis during normal operation to establish baseline performance characteristics. This preliminary action enables the system to distinguish between normal variation and actual deterioration, improving detection accuracy during low-load seasons when maintenance timing is optimal.
3Device complexity
If catalog data is used for performance evaluation, then evaluation process is simplified, but accuracy deteriorates due to deviation from actual operation conditions
Solution Approach 1:
The system changes the evaluation approach from using fixed catalog data to using dynamically collected operation data from the actual system. By monitoring real operating parameters such as actual COP, leaving temperature difference, and power consumption under actual conditions, the system achieves accurate performance evaluation that reflects true system state rather than idealized catalog values.
Data Source
AI summary
A performance diagnosis device for an air conditioner includes: a data collection unit that collects and records operation data on the air conditioner; an equipment characteristic database that is a data group covering operation conditions meeting the specifications of the air conditioner; a reference data creation unit that calculates individual characteristic curved surface data by using the operation data possessed by the data collection unit and the equipment characteristic database; and a performance evaluation unit that compares part of the operation data possessed by the data collection unit with the individual characteristic curved surface data to evaluate the performance of the air conditioner, in which the individual characteristic curved surface data is corrected with respect to the equipment characteristic database so as to correspond to the operation data possessed by the data collection unit. Thus, it is possible to detect the performance deterioration of the air conditioner regardless of the magnitude of the air conditioning load and to clarify the necessity of the maintenance work for the air conditioner.