Vacuum Cleaner Module Usage Tracking for Maintenance Alerts
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Solution Overview
Problem
Vacuum cleaners lack the ability to provide customized cleaning information and maintenance recommendations, limiting their integration into Internet of Things (IoT) devices and user convenience.
Innovation Solution
A method and system that utilize sensors in vacuum cleaners to track usage and maintenance data of modular cleaning modules, providing personalized cleaning patterns and maintenance alerts through a connected smart device, including notifications for washing or replacing modules based on usage thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vacuum cleaners are equipped with sensors and connectivity to provide customized cleaning information and maintenance recommendations, then user convenience and IoT integration are improved, but device complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary that handles complex data processing, cleaning pattern generation, and maintenance recommendation algorithms. The vacuum cleaner itself remains relatively simple, only needing to collect sensor data and communicate with the server, while the sophisticated analysis and personalized recommendations are performed externally on the server side.
Solution Approach 2:
The system implements continuous feedback loops where sensor data from the vacuum cleaner is collected, analyzed by the server to generate cleaning patterns and maintenance recommendations, which are then communicated back to the user through a smartphone application. This feedback mechanism enables customized information delivery without requiring complex local processing in the vacuum cleaner.
2Reliability
If the vacuum cleaner tracks usage data and provides maintenance alerts for cleaning modules, then cleaning effectiveness and hygiene are improved, but information processing requirements increase
Solution Approach 1:
The server generates maintenance recommendations and cleaning patterns in advance based on accumulated usage data, before the user actually needs to perform maintenance. The system proactively identifies when cleaning modules need attention by analyzing usage thresholds and patterns, providing timely alerts rather than waiting for problems to occur.
Solution Approach 2:
The system monitors multiple parameters including usage time, cleaning module type, and operational conditions, and dynamically adjusts maintenance recommendations based on changing parameters. Different cleaning modules have different usage thresholds and maintenance schedules that are automatically adjusted based on actual usage patterns detected by sensors.
Data Source
AI summary
A method of providing customized cleaning information, a vacuum cleaner, and a control method thereof are disclosed. The method of providing customized cleaning information includes obtaining information related to a cleaning module from a sensor of a vacuum cleaner, determining whether the cleaning module is in use among pre-registered cleaning modules based on the information related to the cleaning module, storing last used time information of the cleaning module based on the information related to the cleaning module, obtaining current time information, comparing the last used time information with the current time information to determine whether unused time of the cleaning module exceeds an unused time threshold specified for the cleaning module, and providing an indication that the cleaning module needs to be used when the unused time of the cleaning module exceeds the unused time threshold.