Kitchen Appliance Maintenance Using Usage-Based Replacement Thresholds
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Solution Overview
Problem
Current maintenance methods for kitchen appliances often result in premature replacement of components, leading to non-optimal maintenance operations and a lack of access to critical maintenance data for operators, which can hinder effective diagnosis and scheduling.
Innovation Solution
Integrating a memory into kitchen appliances to record and store maintenance data, allowing operators to access and transmit this data for better diagnosis and scheduling, while using sensor data to calculate a threshold value for component replacement based on the actual usage patterns of similar appliances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If components are replaced at fixed intervals to ensure preventive maintenance, then the appliance remains operational, but components may be replaced prematurely leading to non-optimal maintenance operations
Solution Approach 1:
The system performs preliminary actions by recording maintenance data and component usage information in the appliance's memory before actual maintenance is needed. This allows the appliance to proactively provide usage data that enables optimized maintenance scheduling, preventing both premature and delayed maintenance operations.
Solution Approach 2:
The system implements feedback by having the appliance automatically record and store maintenance data, component operating hours, and usage patterns in its memory. This feedback loop provides real-time information about actual component wear and usage, enabling maintenance decisions to be based on actual conditions rather than fixed schedules.
2Loss of information
If maintenance data is stored locally at the manager's premises, then data is available for reference, but operators cannot access it remotely during maintenance operations
Solution Approach 1:
The appliance serves itself by automatically recording, storing, and making maintenance data accessible without requiring external systems. The built-in memory and interface allow the appliance to provide its own maintenance information directly to operators during field operations, eliminating the need for remote database access or manual data retrieval.
Solution Approach 2:
The system merges the maintenance data storage and access functions directly into the appliance itself. By combining the memory storage, data recording, and user interface capabilities within the appliance, operators can access maintenance data directly at the appliance location without needing separate remote access systems or manual data transfer processes.
3Ease of operation
If a memory is integrated into the appliance to store maintenance data, then data access is improved, but the device complexity increases
Solution Approach 1:
The integrated memory system serves multiple functions: it stores maintenance data, records component operating hours, tracks usage patterns, and provides diagnostic information. By making the memory system multi-functional, the patent reduces the need for separate dedicated systems for each function, thereby minimizing the increase in overall device complexity while maximizing data utility.
Data Source
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AI summary
Method for maintenance of a non-computing appliance, such as a kitchen appliance, comprising the steps consisting in a2) identifying a datum representative of the lifetime of at least one component of the appliance, and determining a threshold value (VS) of the said datum beyond which a risk of malfunction of the component may occur, b2) monitoring the current value (VC) of the said datum of an appliance in a user's site, c2) performing a maintenance operation in respect of the appliance as soon as the said current value (VC) exceeds the said threshold value (VS), with a view to undertaking for example the replacement of the said component, characterized in that step a2) comprises sub-steps consisting in obtaining a reference value (VR) of the said datum, obtaining information (IN) for one and the same component of several identical or similar appliances in users' sites, and calculating the said threshold value (VS) on the basis of the said reference value (VR) and the said information (IN).