Monitoring device and method for air conditioner
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Solution Overview
Problem
Existing air-conditioning apparatus abnormality detection systems have limited accuracy due to the assumption of similar configuration and environmental conditions between compared units, resulting in a lack of reference data for deviation analysis.
Innovation Solution
A monitoring apparatus and method that collect and store operation data from multiple air-conditioning units, allowing for more extensive data comparison and improved abnormality detection accuracy by selecting similar units based on refrigerant type, compressor specifications, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operation data of air-conditioning apparatuses with similar configuration and environmental conditions are compared, then detection reliability is improved, but the quantity of available reference data is reduced
Solution Approach 1:
The patent segments the comparison process into two stages: first grouping apparatuses by configuration similarity (model, specifications), then further filtering by environmental conditions. This segmentation allows systematic handling of large datasets while maintaining detection reliability through multi-level filtering.
Solution Approach 2:
The patent performs preliminary classification of air-conditioning apparatuses by configuration parameters before actual abnormality detection. By pre-grouping apparatuses into categories based on model and specifications, the system prepares reference data in advance, enabling efficient comparison while ensuring configuration similarity.
2Quantity of substance
If operation data from apparatuses with different configurations are included, then the quantity of reference data is increased, but detection precision deteriorates
Solution Approach 1:
The patent applies local quality by selecting reference data with specific local characteristics (similar configuration and environmental conditions) rather than using all available data uniformly. This ensures that each comparison uses appropriately matched reference data, maintaining precision while expanding the overall reference database.
Solution Approach 2:
The patent changes the selection parameters for reference data from purely configuration-based to a combination of configuration parameters and environmental condition parameters. This parameter expansion allows inclusion of more diverse apparatuses while maintaining comparability through environmental condition matching.
3Measurement precision
If environmental conditions are considered in data selection, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal data collection framework that handles both configuration data and environmental condition data through the same processing pipeline. The abnormality detection apparatus universally processes various data types using consistent comparison logic, reducing the need for separate handling mechanisms.
Solution Approach 2:
The patent introduces environmental condition data as an intermediary factor that mediates between configuration similarity and actual operational behavior. By using environmental conditions as a bridging parameter, the system achieves more accurate matching without requiring direct complex interactions between all configuration parameters.
Data Source
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AI summary
According to the present invention, provided is a monitoring apparatus for monitoring air-conditioning apparatuses (109), the air-conditioning apparatuses each being configured to perform air-conditioning of a target space and each including a refrigerant circuit in which the refrigerant is circulated, the refrigerant circuit including at least a compressor (1), a heat source-side heat exchanger (3), an expansion device, and a use-side heat exchanger. The monitoring apparatus (109) includes: a storage device (105) configured to store operation data indicating an operation state of each of the air-conditioning apparatuses (101); and a monitoring processing device configured to perform abnormality detection by extracting, from the storage device (105), operation data that is within a range of equality in an extraction condition including a kind of the refrigerant and a specification of a device included in a first air-conditioning apparatus (101 a) that is a target of monitoring by the monitoring apparatus; and comparing the extracted operation data with operation data of the air-conditioning apparatus (101 a) that is the target of monitoring.