Vacuum cleaner and control method for the same

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Solution Overview

Problem

Existing vacuum cleaners struggle to accurately identify and adapt to different types of surfaces due to aging, leading to inefficient cleaning performance and potential misidentification of surface types.

Innovation Solution

A vacuum cleaner equipped with a pressure sensor, brush motor load detection, and a learning model that updates reference data based on suction pressure, brush motor load, and rotational speed to determine surface type, adjusting motor outputs accordingly and updating data through a hyperplane equation in two- or three-dimensional coordinate systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If fixed reference data is used for surface type identification, then initial classification accuracy is maintained, but identification accuracy deteriorates over time due to aging

Engineering Contradiction:

Improvesurface type identification accuracyVSAvoidconsistent performance over time

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The reference data is transformed from a static fixed value to a dynamic self-updating structure. The learning model continuously updates the reference data using newly collected cleaning data, allowing the system to adapt to aging components and maintain accurate surface type identification over time.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

A feedback loop is established where cleaning data collected during operation is fed back to the learning model, which then updates the reference data. This closed-loop system ensures continuous improvement and adaptation, preventing performance degradation due to aging.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If learning model updates reference data continuously, then adaptation to aging improves, but computational complexity and processing time increase

Engineering Contradiction:

Improveadaptation to aging conditionsVSAvoidlearning model processing complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The reference data update is performed periodically at predetermined intervals rather than continuously. This approach balances adaptability with computational efficiency, allowing the system to adapt to aging while avoiding excessive processing complexity and energy consumption.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

Instead of using all available cleaning data for updates, the system selectively uses representative samples or key features. This partial action approach reduces computational burden while maintaining effective adaptation to aging conditions.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12564301B2Vacuum cleaner and control method for the same

Publication Date: 2026.03.03 SAMSUNG ELECTRONICS CO LTD

AI summary

A vacuum cleaner includes a main body, a suction motor in the main body, an extension pipe, a suction head, connected to the suction motor through an extension pipe and including a suction port through which the foreign substances are sucked, a brush inside the suction head, a brush motor configured to rotate the brush, a pressure sensor configured to detect a pressure of air flowing through the suction port, a memory configured to store reference data used to identify the type of surface to be cleaned and a learning model to update the reference data, and a controller configured to determine a suction pressure based on the detected pressure and an atmospheric pressure, and identify the type of surface using the determined suction pressure, a load of the brush motor, and the stored reference data, and to update the stored reference data based on a predetermined update condition.