Product Dispenser Feedback Control for Usage-Based Parameter Tuning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Product dispensers often require initial configuration settings that are not optimal due to varying environmental and user-specific factors, leading to inefficiencies such as waste and increased power consumption.
Innovation Solution
A method and system that utilize monitored usage data to optimize dispensing parameters, including sheet length and user-specific settings, by adjusting parameters based on usage rates and user feedback to minimize waste and enhance efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If initial configuration settings are used for product dispensers, then device simplicity is maintained, but product usage efficiency deteriorates leading to waste and increased power consumption
Solution Approach 1:
The system monitors actual product usage data from the dispenser and feeds this information back to automatically adjust dispensing parameters. Usage data is collected over time, analyzed to determine optimal settings, and then applied to improve dispensing efficiency and reduce waste without requiring manual reconfiguration.
Solution Approach 2:
The dispenser system performs self-optimization by automatically adjusting its own dispensing parameters based on monitored usage data. The system independently determines optimal settings and applies them without external intervention, enabling continuous improvement of product usage efficiency while maintaining operational simplicity.
2Use of energy by moving object
If initial configuration settings are used for product dispensers, then device complexity is maintained, but energy consumption deteriorates due to suboptimal dispensing parameters
Solution Approach 1:
The system monitors usage patterns and power consumption data, then uses this feedback to automatically adjust dispensing parameters that optimize energy efficiency. By continuously learning from operational data, the system identifies and applies settings that reduce power consumption while maintaining or improving operational efficiency.
Solution Approach 2:
The system automatically modifies dispensing parameters such as dispensing quantity, frequency, or timing based on analyzed usage data. These parameter changes are designed to optimize both energy efficiency and operational performance, allowing the dispenser to adapt to actual usage patterns rather than relying on fixed initial settings.
3Adaptability or versatility
If fixed dispensing parameters are used, then device simplicity is maintained, but adaptability to different users and environments deteriorates
Solution Approach 1:
The dispenser automatically adapts to different users and environments by monitoring usage data and self-adjusting its parameters. The system performs user-specific optimization independently without requiring manual configuration or complex user input, achieving adaptability while maintaining operational simplicity.
Solution Approach 2:
The system collects and analyzes usage data to identify patterns specific to different users and environmental conditions. This feedback loop enables automatic adaptation of dispensing parameters tailored to each user's preferences and needs, while the system handles the complexity of adjustment internally without burdening the user.
Data Source
AI summary
Systems, methods, and apparatuses for optimizing performance of a product dispenser are provided herein. Depending on the circumstances surrounding the product dispenser (e.g., the environment, the type or habits of users or individual users, etc.), initial dispensing parameter settings of the product dispenser may be undesirable. Using monitored usage data, optimized dispensing parameters can be determined to achieve more desirable usage of the product dispenser (e.g., decrease waste, power save, increase efficiency, etc.). Additionally, using bounding parameters and/or information from the environment (e.g., nearby product dispensers) can lead to further optimized performance of the product dispenser. User or group specific optimized dispensing parameters can also be determined and used.