Water Dispenser Recipe Selection by Mineralization and Taste Weighting
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Solution Overview
Problem
Existing water dispensing systems fail to account for user preferences in mineralization and taste, leading to user dissatisfaction and reduced system usage.
Innovation Solution
A method that assesses multiple water recipes based on user preferences, determining ion concentration and assigning weightings for mineralization and taste to select the most suitable water recipe, using a computer system to integrate user feedback and physiological data for personalized water selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a predetermined concentration of minerals is provided in water dispensing systems, then mineralization requirements are met, but user taste preferences are not satisfied
Solution Approach 1:
The system dynamically adjusts the water recipe by varying mineral concentrations based on real-time user preferences and drinking purposes. Instead of providing a fixed predetermined concentration, the system adapts the mineral content to match both health requirements and taste preferences, resolving the contradiction between reliable mineralization and user acceptance.
Solution Approach 2:
The system changes the concentration parameters of minerals in the water recipe according to different drinking purposes and user preferences. By adjusting mineral concentration levels dynamically, the system can satisfy both the minimum mineralization requirements for health and the varying taste preferences for acceptance.
2Adaptability or versatility
If multiple water recipes with different mineral concentrations are provided, then both mineralization and taste preferences can be satisfied, but system complexity increases
Solution Approach 1:
The system uses a single water dispenser device that can generate multiple different water recipes by adjusting mineral concentrations. Instead of requiring multiple separate dispensing systems, one universal system performs the function of providing various water types, thereby increasing adaptability without proportionally increasing device complexity.
Solution Approach 2:
The system replaces complex mechanical systems for storing multiple water types with a computational approach. A computer determines the appropriate water recipe by processing user input and physiological data, then controls the dispensing system to prepare the selected recipe, reducing mechanical complexity while maintaining versatility.
3Adaptability or versatility
If user preferences and physiological data are processed to select water recipes, then personalized water selection is achieved, but information processing requirements increase
Solution Approach 1:
The system processes only the necessary subset of user preferences and physiological data required for water recipe selection, rather than analyzing all possible data. This partial processing approach achieves personalized water selection while minimizing the energy consumption and information processing requirements.
Data Source
AI summary
In a method of assessing a plurality of water recipes and selecting a water recipe suitable for a user, wherein the water recipe determines the concentration of ions in the water the following steps are performed: determining a plurality of water drinking purposes; assigning a set taste weighting to each of the plurality of water drinking purposes, wherein the set taste weighting indicates the weighting of the taste for selection the most suited water recipe; assigning a set mineralization weighting to each of the plurality of water drinking purposes, wherein the set mineralization weighting indicates the weighting of the mineralization for selection the most suited water recipe; and storing the set taste weighting and the set mineralization weighting for each of the plurality of water drinking purposes in a computer.


