Laundry washing machine calibration
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Solution Overview
Problem
Laundry washing machines face suboptimal performance due to user inattentiveness or lack of understanding in manual load type selection, and environmental conditions can vary significantly from those optimized during manufacturing, leading to inefficient operation.
Innovation Solution
A calibration process is implemented at installation and periodically to determine operational settings based on ambient light, water supply pressure, and wash tub weight, using sensors to adjust settings dynamically for optimal performance across different loads and environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual load type selection is provided, then user interaction is simplified, but suboptimal performance occurs due to user inattentiveness or lack of understanding
Solution Approach 1:
The washing machine performs self-calibration by automatically determining installation environment parameters (ambient light characteristics, water supply pressure, empty wash tub weight) without requiring user input. The system serves itself by gathering environmental data and generating operational settings autonomously, eliminating the reliability issues associated with manual user selection.
Solution Approach 2:
The system implements feedback mechanisms by sensing environmental conditions during calibration and adjusting operational settings based on the gathered data. The controller continuously monitors parameters like water pressure and ambient light, then modifies wash cycle settings accordingly to optimize performance for the specific installation environment.
2Reliability
If control methodologies are optimized for particular environmental conditions, then washing performance is improved, but the system cannot adapt to different installation environments
Solution Approach 1:
The system transitions from static, pre-programmed control methodologies to dynamic calibration that adapts to the specific installation environment. The controller dynamically adjusts operational settings based on real-time environmental parameters such as ambient light characteristics, water supply pressure, and empty wash tub weight, allowing the system to optimize performance for each unique installation location.
Solution Approach 2:
The calibration process changes key operational parameters based on environmental conditions. The system measures ambient light characteristics to adjust sensor sensitivity, determines water supply pressure to optimize fill rates and timing, and measures empty wash tub weight to accurately determine load weights. These parameter changes enable the system to adapt control methodologies to different installation environments while maintaining optimal washing performance.
3Reliability
If calibration process is performed to determine operational settings, then performance is optimized for specific environment, but device complexity increases
Solution Approach 1:
The system performs self-calibration using built-in sensors and processing capabilities already present in modern washing machines. The controller utilizes existing components (ambient light sensors, water inlet valves, weight sensors) to automatically determine environmental parameters and adjust operational settings, avoiding the need for additional complex calibration hardware or manual intervention.
Solution Approach 2:
The calibration process is performed preliminarily during initial installation or before first use, establishing optimal operational settings in advance. By completing the calibration setup beforehand, the system eliminates the need for complex real-time adjustments during normal operation, simplifying the overall control architecture while maintaining optimized performance.
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
The calibration process ensures consistent and optimized washing machine performance by adapting to specific installation conditions, reducing energy and water consumption, and improving wash cycle efficiency.
Implementation Method 1
a fluid level sensor configured to sense a fluid level in the wash tub
Implementation Method 2
an empty wash tub weight to generate one or more operational settings
Data Source
AI summary
A laundry washing machine and method adapt the operation of a laundry washing machine for a particular installation environment using a calibration process that may be performed at installation and/or at various times thereafter to determine one or more operational settings used to control the operation of the laundry washing machine. A calibration process, for example, may determine one or more of an ambient light characteristic, a water supply pressure, and an empty wash tub weight to generate one or more operational settings used by a controller of a laundry washing machine.