Air conditioning system diagnostic device
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Solution Overview
Problem
Conventional air conditioning system diagnostic methods struggle to efficiently determine the cause and location of errors in refrigerating cycles and network errors, as they require separate apparatuses and manual analysis of waveform data, which is challenging due to sensor failures and high sampling data volumes.
Innovation Solution
An integrated air conditioning system diagnosis apparatus that retrieves and analyzes messages flowing in a general-purpose network, automatically determining the state of the refrigerating cycle and waveform data to identify errors, allowing for simultaneous diagnosis and monitoring of both refrigerating cycle and network issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate apparatuses are used to diagnose refrigerating cycle errors and network errors, then the diagnosis coverage is comprehensive, but the device complexity increases and maintenance efficiency decreases
Solution Approach 1:
The patent combines the refrigerating cycle diagnostic function and the network diagnostic function into a single integrated diagnostic apparatus. The message analyzing means processes both refrigerating cycle status messages and network communication messages, while the waveform analyzing means analyzes waveform data from the general-purpose network. This merging eliminates the need for separate diagnostic devices, reducing device complexity while maintaining comprehensive diagnosis coverage for both refrigerating cycle errors and network errors.
2Ease of operation
If manual analysis of waveform data is performed, then the diagnostic process is simple, but the productivity decreases and the risk of missed errors increases
Solution Approach 1:
The patent replaces the manual mechanical analysis of waveform data with an automated electronic analysis system. The waveform analyzing means automatically retrieves waveform data from the general-purpose network, processes it through analysis algorithms, and generates diagnostic results. This substitution dramatically increases diagnosis speed and productivity while reducing the risk of human error, while the automated generation of analysis reports maintains ease of operation.
3Measurement precision
If high sampling rate waveform data is collected, then the measurement precision increases, but the quantity of data increases making analysis more difficult
Solution Approach 1:
The patent extracts only the essential diagnostic information from the high-sampling-rate waveform data through the waveform analyzing means. Instead of processing and storing all raw waveform data, the system extracts key features and anomalies that are relevant to error diagnosis. This extraction approach maintains high measurement precision for detecting waveform abnormalities while significantly reducing the quantity of data that needs to be analyzed and stored.
Data Source
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AI summary
An air conditioning system diagnosis apparatus is obtained in which a refrigerating cycle is automatically analyzed and waveform data in messages flowing in a general-purpose network is acquired and automatically analyzed according to the analysis result of the refrigerating cycle, thereby achieving, with a single apparatus, diagnosis and monitoring of errors in the refrigerating cycle and in the general-purpose network. A trigger output means 106 creates a trigger on the basis of a waveform analysis condition 1052 and the analysis result of a packet received from a message analyzing means 102; when receiving the trigger, a waveform input means 107 reads out waveform data stored in a buffer; waveform analyzing means 108 notifies a synchronization determining means 109 of the analysis result of the waveform data; the synchronization determining means 109 searches for the analysis result of a packet synchronized with the received analysis result of the waveform data.