Appliance Failure Prediction With Delay-Maintenance Control
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Solution Overview
Problem
There is a need for a method and apparatus to efficiently provide customer visit services for repairing appliance failures and maintain normal operations by considering user usage patterns and schedules based on predicted failures.
Innovation Solution
A system utilizing a managing server with a failure prediction knowledge database to predict appliance failures and generate normal operation maintenance information, allowing appliances to operate in a mode that delays failures and providing home visit repair services to fix both predicted and concurrent failures during a single engineer visit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If failure prediction and maintenance scheduling are implemented, then appliance reliability is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary failure prediction by analyzing appliance data before actual failures occur. The server predicts potential failures and schedules maintenance visits in advance, allowing proactive intervention rather than reactive repair, thus improving reliability while managing complexity through advance planning
Solution Approach 2:
The appliance system automatically monitors its own operational data and transmits it to the server for analysis. The system self-diagnoses potential issues and triggers maintenance requests without human intervention, improving reliability through continuous self-monitoring while reducing the perceived complexity for users
2Productivity
If multiple failures are repaired during a single engineer visit, then productivity is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The server system performs multiple functions: it predicts failures, schedules maintenance visits, coordinates engineer dispatch, and manages repair tracking all through a single unified platform. This multi-functional approach increases productivity by consolidating services while the systematic data management reduces the difficulty of detecting and measuring multiple failures
Solution Approach 2:
The system continuously collects appliance operational data, analyzes it for failure patterns, and uses this feedback to improve prediction accuracy. The feedback loop between data collection, analysis, and prediction refinement makes it easier to detect and measure multiple failure types by establishing baseline patterns for comparison
3Duration of action of moving object
If appliances operate in normal operation maintenance mode to delay failures, then duration of action is improved, but loss of energy increases
Solution Approach 1:
The system dynamically adjusts appliance operation modes based on real-time condition monitoring and failure predictions. Instead of maintaining a fixed conservative mode, the appliance operates in optimal performance mode when conditions are good and transitions to maintenance mode when degradation is detected, extending operational duration while minimizing unnecessary energy consumption
Solution Approach 2:
The system changes operational parameters such as temperature thresholds, cycle frequencies, and power levels based on appliance condition and environmental factors. By dynamically adjusting these parameters rather than maintaining fixed conservative settings, the system extends appliance life through controlled stress reduction while minimizing energy loss from overly cautious operation
Data Source
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AI summary
The disclosure provides a method of an appliance, including receiving prediction information indicating a predicted failure of the appliance, obtaining a schedule for which use of a repair service for repairing the predicted failure based on the prediction information is available, transmitting a signal for requesting maintenance information used to delay the predicted failure and maintain a normal operation of the appliance if the obtained schedule is after a predicted failure time point indicated by the prediction information, receiving the maintenance information, and operating based on the maintenance information.