Method, device, and system for detecting dynamic imbalance of washing machine
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Solution Overview
Problem
Existing washing machine imbalance detection methods focus on static conditions and fail to address dynamic imbalance, leading to noise and vibration issues during operation.
Innovation Solution
A method and system using a vibration sensor attached to the washing machine cabinet to detect dynamic imbalance, processing vibration data with a controller and server to determine the dynamically balanced position, and employing machine learning algorithms to estimate gap sizes between the floor and the washing machine legs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a washing machine is leveled under static conditions using tilt sensors, then the washing machine is balanced when stationary, but the washing machine experiences dynamic imbalance and vibration during operation
Solution Approach 1:
The patent transitions from static tilt sensing to dynamic vibration sensing. The vibration sensor detects vibrations during operation to determine dynamically balanced position, allowing the system to adapt to changing conditions during washing machine operation rather than relying on initial static leveling.
Solution Approach 2:
The patent replaces the mechanical tilt sensing approach with vibration-based detection. Instead of measuring static inclination angles with tilt sensors, the system uses vibration sensors to detect dynamic vibrations and determine the dynamically balanced position through vibration analysis.
2Reliability
If vibration sensors are used to detect dynamic imbalance, then the washing machine can be balanced during operation, but the complexity of the detection system increases
Solution Approach 1:
The vibration sensor serves multiple functions: it detects vibrations during operation, determines the dynamically balanced position, and enables the washing machine to self-level during operation. This multi-functionality reduces the need for separate static and dynamic sensing systems.
Solution Approach 2:
The washing machine uses its own operational vibrations to determine its dynamically balanced position and automatically adjusts its level during operation. The system self-corrects dynamic imbalance without requiring external intervention or complex additional sensing equipment.
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
Effectively detects and corrects dynamic imbalance, reducing noise and vibration, and improving the stability of the washing machine during operation by accurately determining the dynamically balanced position.
Implementation Method 1
detecting dynamic imbalance of a washing machine when a dynamically balanced position at which the washing machine is balanced under dynamic conditions continuously changes due to vibration (hereinafter, referred to as cabinet vibration) of a washing machine cabinet
Data Source
AI summary
A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.