Pool Cleaner Control Using Device Relationship Divergence Detection
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Solution Overview
Problem
Existing pool and spa equipment monitoring relies heavily on human observation, leading to inconvenient and disruptive maintenance when abnormal behavior or failure occurs, as technicians are often required to troubleshoot or replace equipment.
Innovation Solution
A method and system that compares characteristics of multiple electromechanical devices to establish a normal relationship, identifying abnormal behavior by detecting divergence from this baseline, allowing for automated control responses such as notifications, predictive maintenance, and equipment replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated monitoring systems are implemented to detect equipment abnormalities, then equipment reliability and maintenance timing are improved, but device complexity increases
Solution Approach 1:
The system enables equipment to self-monitor its own performance parameters and automatically detect abnormalities without requiring external human intervention. The APC compares its own operational data against expected ranges and autonomously identifies when servicing is needed, allowing the equipment to serve its own monitoring function.
Solution Approach 2:
The system continuously collects operational data from the APC, compares it against normal operating parameters, and provides feedback when deviations are detected. This closed-loop feedback mechanism enables real-time monitoring and automatic abnormality detection, improving reliability through continuous validation of equipment status.
2Ease of operation
If traditional human observation methods are used to identify equipment abnormalities, then ease of operation is maintained, but loss of time increases due to delayed detection and disruptive maintenance
Solution Approach 1:
The system performs preliminary monitoring and detection of equipment abnormalities before they develop into failures requiring disruptive maintenance. By continuously tracking operational parameters and comparing them against normal ranges, the system identifies issues in advance, allowing for planned maintenance during convenient times rather than emergency repairs.
Solution Approach 2:
The system replaces manual human observation with automated electronic monitoring. Sensors and controllers continuously collect and analyze operational data, substituting the mechanical process of human inspection with an automated electronic system that operates without interruption and provides immediate detection of abnormalities.
3Measurement precision
If continuous monitoring of equipment characteristics is implemented, then measurement precision of equipment status is improved, but use of energy increases
Solution Approach 1:
The system employs periodic sampling of equipment operational parameters rather than truly continuous monitoring. The controller collects data at regular intervals during the APC's operation, comparing characteristics at discrete time points. This periodic approach maintains adequate measurement precision for detecting abnormalities while reducing energy consumption compared to truly continuous high-frequency monitoring.
Data Source
AI summary
A method of controlling an automatic swimming pool cleaner includes comparing characteristics of at least two similar electromechanical devices of the automatic swimming pool cleaner to establish a normal relationship between the at least two similar electromechanical devices. The method includes identifying abnormal behavior of the automatic swimming pool cleaner based on a divergence from the normal relationship.


