Air Conditioner Fault Risk Analysis Using Debugging and Operation Data
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Solution Overview
Problem
Existing air-conditioning systems face challenges in timely and accurate fault analysis due to complex and changeable installation environments, leading to delayed maintenance and increased difficulty.
Innovation Solution
A fault risk analysis system that acquires debugging and system operation information to determine fault inducing factors, adjusts fault risk levels, and provides intelligent warnings to improve maintenance accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fault analysis is performed based on fault code and prompt messages after unit assembly failure, then fault analysis can be conducted, but fault analysis occurs with lag and maintenance difficulty increases
Solution Approach 1:
The system performs preliminary fault risk analysis by collecting debugging information during installation and system operation information before actual faults occur. It determines fault inducing factors and adjusts fault risk levels proactively, enabling preventive maintenance rather than reactive fault analysis after failure
Solution Approach 2:
The system continuously collects system operation information and feeds it back to adjust fault risk levels dynamically. The feedback mechanism updates fault risk assessments based on real-time operating conditions, allowing the system to adapt and improve fault prediction accuracy over time
2Reliability
If fault analysis is performed based on fault code and prompt messages after unit assembly failure, then fault analysis can be conducted, but maintenance difficulty increases
Solution Approach 1:
The system determines fault inducing factors and provides maintenance suggestions before faults occur by analyzing debugging information and system operation data. This preliminary identification of potential issues and their causes enables maintenance personnel to prepare appropriate repair strategies in advance, reducing maintenance difficulty when faults actually occur
Solution Approach 2:
The system automatically collects debugging information and system operation information, determines fault inducing factors, and generates maintenance suggestions without requiring manual intervention. This self-service capability reduces the complexity of fault diagnosis and maintenance planning for users
3Measurement precision
If debugging information is collected for each unit assembly, then fault warning accuracy is improved, but system complexity increases
Solution Approach 1:
The system uses a unified fault risk analysis framework that processes debugging information and system operation information through standardized methods. The same processor and analysis algorithms handle multiple unit assemblies, making the system multi-functional while maintaining consistent accuracy across different devices
Solution Approach 2:
The system collects and analyzes data from multiple unit assemblies using the same processing logic and analysis models. By copying the analysis framework across different devices and applying identical processing methods, the system achieves consistent fault warning accuracy without proportionally increasing complexity
Data Source
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AI summary
The present application provides a fault risk analysis system, a fault risk analysis method, an air conditioner and a computer readable storage medium, wherein the fault risk analysis system comprises: a memory for storing computer programs; a processor for executing the computer programs to implement: obtaining debugging information and/or system operation information, and determining fault inducing factors corresponding to the debugging information and/or the system operation information; and adjusting a fault risk level of the fault category corresponding to the fault inducing factors according to the fault inducing factors. By collecting the debugging information, potential fault inducing factors of the current unit can be accurately reflected; by collecting the system operation information to analyze the fault inducing factors, the fault risk analysis system can obtain more accurate and reliable fault inducing factors, in turn, it can implement the technical effects of optimizing the product failure analysis mechanism, improving the reliability and accuracy of failure analysis, improving the reliability of product failure early warning, accurately guiding customers to reduce the probability of product failure, and improving the user experience.