Voice-Controlled Washing Machine for Conflicting Laundry Loads

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Solution Overview

Problem

Existing laundry washing machines fail to effectively wash a mixture of different types of clothes without damaging individual items, as they typically select the most delicate program based on the most delicate item, neglecting the specific requirements of other items like bed linen, towels, and colored cotton, and previous solutions such as spectrometer sensors or pre-wash programs are inadequate.

Innovation Solution

An automatic laundry washing or washing/drying machine with speech recognition and response capabilities that allows users to vocally input the typology, fabric type, degree of soil, and color intensity of each item, enabling the machine to select the most appropriate washing program and alert the user to any conflicting items that may be damaged by the selected program.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the washing machine selects the most delicate washing program based on the most delicate item in the tub, then the delicate items are protected from damage, but the washing quality of other items (bed linen, towels, colored cotton) deteriorates

Engineering Contradiction:
Improveprotection of delicate itemsVSAvoidwashing quality of other items
Core Design Contradiction:
ReliabilityVSManufacturing precision

Solution Approach 1:

The washing machine divides the laundry load into separate groups based on fabric type and washing requirements. The system identifies different categories (delicate items, bed linen, towels, colored cotton) and segments them for individual washing, allowing each group to receive appropriate washing treatment rather than forcing a single program on all items

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system adds a new dimension of information processing by using optical sensors to detect fabric types, colors, and soil levels. This transforms the washing selection from a single-dimensional delicate-item-based approach to a multi-dimensional analysis considering fabric composition, color intensity, soil degree, and item category simultaneously

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Duration of action of moving object

If a pre-wash program is used to provide intense cleansing action, then the washing duration is extended, but the washing effectiveness remains insufficient due to inadequate temperature, agitation, or detergent

Engineering Contradiction:
Improvewashing durationVSAvoidwashing effectiveness
Core Design Contradiction:
Duration of action of moving objectVSManufacturing precision

Solution Approach 1:

The system dynamically adjusts washing parameters (temperature, agitation intensity, detergent quantity) based on real-time detection of fabric type, color intensity, and soil level. Rather than using a fixed pre-wash program, the machine modifies these critical parameters to match the specific laundry composition, ensuring effective washing within appropriate timeframes

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The washing machine incorporates sensor feedback mechanisms that continuously monitor the laundry load characteristics. This feedback loop allows the control system to optimize washing parameters during the cycle, adjusting temperature, agitation, and detergent delivery based on actual conditions rather than relying on predetermined programs

Inventive Principle:
Principle #23Feedback

3Measurement precision

If a spectrometer sensor is used to recognize fabric types, then the machine can identify fabric material, but it cannot identify specific items or determine appropriate washing programs for different item types requiring the same fabric

Engineering Contradiction:
Improvefabric type recognitionVSAvoiditem type identification
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system merges multiple detection capabilities including optical sensors for fabric identification, color intensity measurement, soil level detection, and item category recognition. By combining these different sensing functions, the machine achieves comprehensive laundry analysis that goes beyond simple fabric type identification to include specific item characteristics

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The washing machine uses color detection capabilities to identify not only fabric composition but also color intensity and potential colorfastness issues. This color analysis helps distinguish between items requiring different washing treatments even when made from the same fabric type, such as distinguishing between light-colored and dark-colored cotton items with different washing requirements

Inventive Principle:
Principle #32Color changes

4Ease of operation

If the machine does not provide detailed information about conflicting items, then the user interface remains simple, but the user cannot make informed decisions about laundry separation

Engineering Contradiction:
Improveuser interface simplicityVSAvoidlaundry conflict information
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The system provides feedback to the user through the display interface, showing detected laundry items, identified conflicts, and recommended washing programs. This feedback mechanism informs users about potential damage risks and separation recommendations without complicating the basic operation, maintaining ease of use while delivering valuable information

Inventive Principle:
Principle #23Feedback

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

Enables a user-friendly and effective washing process by allowing individualized input of laundry items, ensuring proper washing conditions for each type of clothing, preventing damage and improving washing quality by selecting the optimal washing program based on the characteristics of each item.

Implementation Method 1

a microphone (4) suitable for transducing the voice of the user in electrical signals

Methodology Applied
Scientific EffectMicrophone transduction:

Data Source

PatentEP3058130B1Laundry washing machine with speech recognition and response capabilities and method for operating same
Publication Date: 2021.12.08 SARONIKOS TRADING & SERVICES UNIPESSOAL LDA
  • EP3058130B1 patent drawingFigure 1
  • EP3058130B1 patent drawingFigure 2
  • EP3058130B1 patent drawingFigure 3

AI summary

The invention relates to a laundry washing or washing/drying machine (1) comprising a wash tub, a microphone (4) suitable for transducing the voice of the user in electrical signals and for receiving user information regarding the items to be washed and a control unit (2) which is in communication with said microphone (4), whereby said control unit (2)comprises memory means (22) containing at least a set of washing programs and instructions for controlling the operation of said machine (1), data management means (21) configured for acquiring information about laundry items introduced into the wash tub and for selecting a washing program from said set of washing programs on the basis of said information about the laundry items and, output means (5, 6) which are in communication with said control unit (2), said data management means (21) being also configured for reporting to the user, by means of said output means (5, 6), the presence of at least a conflicting laundry item into the wash tub, after having determined on the basis of said essential information which conflicting laundry item is unsuitable to be washed by means of the selected washing program.