Electronic Faucet Learning Control for Achievable Temperature Range
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Solution Overview
Problem
Users face difficulties in effectively controlling and utilizing electronic plumbing fixture fittings, such as electronic faucets, due to limitations in controlling water parameters like temperature and flow rate, and existing systems lack efficient learning and reference mechanisms to adapt to user preferences and environmental conditions.
Innovation Solution
An electronic plumbing fixture fitting with a learning system and a reference system, comprising a discharge outlet, electronic valve, user input module, water sensor, and processor, which communicates to control water parameters, learns user preferences, and adapts to achieve desired temperature and flow settings by determining achievable ranges through past performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electronic valve controls water parameters, then water parameter control precision is improved, but device complexity increases
Solution Approach 1:
The system employs a water sensor to detect actual water parameters (temperature, flow rate) and feeds this information back to the processor. The processor compares detected values with desired values and adjusts the electronic valve accordingly, creating a closed-loop control system that achieves precise control while managing complexity through automated feedback mechanisms.
Solution Approach 2:
The learning system automatically monitors and records achievable water parameter ranges without user intervention. The system self-adjusts by comparing desired parameters against learned achievable ranges and communicates limitations to users, enabling the system to serve itself in adapting to environmental conditions and reducing the need for manual calibration or complex user configuration.
2Adaptability or versatility
If learning system adapts to user preferences, then adaptability is improved, but device complexity increases
Solution Approach 1:
The learning system performs preliminary monitoring and recording of achievable water parameter ranges during system operation. By proactively collecting data about temperature and flow rate capabilities under various conditions, the system prepares reference information in advance that enables rapid adaptation to user preferences without requiring complex real-time analysis or extensive user programming.
3Loss of information
If system communicates achievable ranges, then information accuracy is improved, but device complexity increases
Solution Approach 1:
The user input module receives desired parameter values from users and the processor provides feedback about whether these values are achievable based on learned reference ranges. The system communicates back to users the actual achievable temperature and flow rate ranges, ensuring accurate information exchange while using automated processing to manage the complexity of continuous monitoring and comparison operations.
Data Source
AI summary
The present invention provides an electronic plumbing fixture fitting including a learning system and a reference system. The electronic plumbing fixture fitting includes a user input module and a processor. The user input module includes a mechanism to receive from the user numerical value(s) of parameter(s) for water to be delivered through a discharge outlet of the electronic plumbing fixture fitting (e.g., a temperature) and a mechanism to deliver to the user the numerical value(s) of the parameter(s) via the water delivered through the discharge outlet of the electronic plumbing fixture fitting. Additionally, the processor includes a mechanism to learn a range of the numerical value(s) of the parameter(s) from a minimum value of the parameter to a maximum value of the parameter (e.g., from a lowest achievable temperature to a highest achievable temperature).