Fault risk analysis system and method, air conditioner and computer readable storage medium
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing air-conditioning systems face challenges in timely and accurate fault analysis due to complex multi-line installations and varying operating conditions, leading to delayed fault detection and increased maintenance difficulties.
Innovation Solution
A fault risk analysis system that acquires debugging and system operation information to determine fault inducing factors and adjust corresponding fault risk levels, providing accurate and reliable fault warnings to optimize maintenance and extend product service life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fault analysis is performed after unit assembly fails using fault codes and prompt messages, then fault detection can be performed, but fault analysis occurs with lag and maintenance difficulty increases
Solution Approach 1:
The system collects debugging information during the installation and debugging phase before the unit assembly actually fails. This preliminary collection of information about installation environment, operating conditions, and initial system state enables proactive fault risk analysis rather than reactive analysis after failure occurs, thus eliminating the time lag in fault detection
Solution Approach 2:
The system establishes a feedback mechanism that continuously monitors system operation information and compares it against the previously collected debugging information and fault risk models. This feedback loop enables real-time fault risk assessment and early warning, allowing maintenance to be performed before actual failure occurs
2Device complexity
If generic fault analysis methods are used without considering installation environment and operation conditions, then analysis process is simplified, but fault analysis accuracy decreases
Solution Approach 1:
The system segments the fault analysis process into distinct components: collection of debugging information about installation environment, collection of system operation information, determination of fault inducing factors specific to each segment, and adjustment of fault risk levels. This segmentation allows comprehensive analysis without overwhelming complexity, as each segment can be processed independently and systematically
Solution Approach 2:
The system applies local quality by determining fault inducing factors specific to each unit assembly based on its unique debugging information and operation conditions. Instead of using a generic analysis method for all units, the system tailors the fault risk assessment to the specific installation environment, operating conditions, and historical performance of each individual unit, thereby improving accuracy without requiring excessive complexity
Data Source
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, and 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.