Cloud-Connected Spectrometer for Automated Washing Cycle Configuration
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Solution Overview
Problem
Existing washing apparatuses face suboptimal performance due to user inattentiveness or lack of understanding in selecting appropriate wash cycle settings, leading to inefficient energy and water consumption, despite offering user-configurable settings.
Innovation Solution
Integration of a spectrometer within the washing apparatus to capture spectral data, which is then analyzed by a remote cloud service to automate the selection of wash cycle parameters such as temperature, water amount, and detergent type, based on the composition of the load, thereby optimizing wash performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user-configurable settings are provided for wash cycle parameters, then washing performance can be optimized for different load types, but user inattentiveness or lack of understanding leads to suboptimal performance
Solution Approach 1:
The system uses a spectrometer to automatically detect load characteristics and a cloud service to determine optimal wash parameters, eliminating the need for manual user selection. The washing machine serves itself by autonomously configuring wash cycles based on spectral analysis of the load, thereby ensuring reliable optimization without requiring user expertise or attention.
2Adaptability or versatility
If manual load type selection is required, then specific wash cycle settings can be optimized for particular load types, but this increases the burden on users and can lead to errors
Solution Approach 1:
The manual mechanical selection process is replaced with an optical detection system (spectrometer) that automatically analyzes the load. The system substitutes user interaction with automated spectral analysis and cloud-based parameter determination, maintaining adaptability to different load types while eliminating the complexity of manual selection interfaces.
Solution Approach 2:
A cloud service acts as an intermediary between the spectrometer data and wash parameter selection. The cloud service receives spectral data, analyzes it to determine optimal parameters, and returns recommendations to the washing machine, thereby mediating the complex decision-making process and shielding users from complexity while maintaining versatility.
3Productivity
If automated parameter selection is implemented using spectral data analysis, then wash performance is optimized, but device complexity increases due to spectrometer and cloud connectivity requirements
Solution Approach 1:
The complex computational functionality is extracted from the washing machine and placed in a cloud service. The spectrometer captures spectral data locally, but the heavy lifting of analyzing spectral patterns and determining optimal parameters is performed remotely in the cloud, allowing the washing machine to achieve high productivity without bearing the full burden of system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enhances wash performance by automatically adjusting wash cycle parameters based on real-time data analysis, reducing user error and optimizing energy and water usage.
Implementation Method 1
a spectrometer located within the housing and configured to capture spectral data for the one or more items or the one or more fluids
Data Source
AI summary
A washing apparatus (e.g. a laundry washing machine, dishwasher, etc.) and method configure a wash cycle in part based on spectral data obtained from a spectrometer positioned with the washing apparatus and analyzed in a remote cloud service.