Air-conditioner system and control method
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Solution Overview
Problem
Current air-conditioner systems face challenges in diagnosing faults in real-time due to the vast amount of data generated from multiple units, leading to delayed analysis and potential equipment damage, causing inconvenience to users.
Innovation Solution
An air-conditioner system with a management server that receives and analyzes data from multiple units at predetermined intervals, using a diagnosing unit to determine normal, abnormal, or failure states, and a filtering unit to discard unnecessary data, enabling quick identification and reporting of issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the server collects and analyzes data from hundreds of thousands of air-conditioners, then the diagnosis comprehensiveness is improved, but the analysis time increases significantly
Solution Approach 1:
The patent segments the data processing task by dividing air-conditioner data into multiple categories (normal operation data, abnormal operation data, failure data) and processes them through different analysis paths. This segmentation allows the system to handle large volumes of data efficiently while maintaining comprehensive diagnosis capability, resolving the contradiction between thorough analysis and processing speed.
Solution Approach 2:
The patent implements preliminary action by pre-processing and categorizing data as it is collected from air-conditioners. The system performs initial data validation, classification, and filtering before the main analysis phase, which reduces the computational burden during real-time diagnosis and enables faster processing of hundreds of thousands of units while maintaining comprehensive analysis.
2Speed
If the server processes data from multiple air-conditioners simultaneously, then the real-time diagnosis capability is improved, but the data processing load increases
Solution Approach 1:
The patent applies segmentation by dividing the data processing load across multiple processing channels based on data categories. Different servers or processing units handle different types of data (normal vs. abnormal vs. failure data), which distributes the computational load and enables simultaneous processing of multiple air-conditioners without overwhelming a single system.
Solution Approach 2:
The patent introduces an intermediary data classification mechanism that sorts incoming data into different categories before processing. This intermediary step acts as a buffer that organizes data flow and directs different types of data to appropriate processing routines, reducing the overall processing load while maintaining real-time diagnostic capabilities across multiple units.
3Measurement precision
If all air-conditioner data is stored and analyzed, then the diagnostic accuracy is improved, but the data storage requirements and processing time increase
Solution Approach 1:
The patent extracts only the essential diagnostic features and key parameters from the complete air-conditioner data set. By identifying and extracting the most relevant data elements for diagnosis (such as critical operational parameters, error codes, and failure indicators), the system maintains high diagnostic accuracy while significantly reducing the volume of data that needs to be stored and processed.
Solution Approach 2:
The patent applies local quality by applying different levels of analysis depth to different data categories. Critical failure data receives intensive, detailed analysis to ensure high diagnostic accuracy, while normal operation data undergoes lighter processing. This differentiated approach maintains accuracy where needed while reducing overall processing time and storage requirements.
Data Source
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AI summary
The present disclosure provides an air-conditioner system comprising: a plurality of air-conditioners; a management server configured to receive air-conditioner data from the plurality of air-conditioners at a predetermined time interval and to analyze the received air-conditioner data to diagnose a state of the air-conditioners, and a database configured to store the air-conditioner data therein, wherein the management server stores the received air-conditioner data in a memory, wherein the management server is configured to determine, based on a diagnostic result, whether the air-conditioner data corresponds to a normal, abnormal or failure state.