Blender Quiet Mode Using Sound Feedback to Reduce Motor Noise
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Solution Overview
Problem
Blenders are often loud during operation, especially when processing high-speed or high-torque tasks, which can be undesirable in various environments, necessitating a solution to reduce noise levels.
Innovation Solution
A system and method that utilize sensors to capture sound and vibration inputs from a blender, comparing them to a threshold parameter, and adjusting the motor power accordingly to maintain noise levels within acceptable limits, potentially through a quiet blending mode initiated by user selection or recipe-based settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the blender motor runs at high power to process ingredients efficiently, then the blending productivity is improved, but the sound level increases and becomes undesirable
Solution Approach 1:
The blender system dynamically adjusts motor speed based on real-time sound level feedback from sensors. The controller continuously monitors sound levels and modifies motor power delivery accordingly, transitioning from static high-speed operation to dynamic adaptive speed control that maintains blending effectiveness while reducing noise when possible
Solution Approach 2:
The system implements a feedback loop where sound sensors continuously monitor operational noise levels, compare them against threshold values, and send signals back to the motor controller to adjust power delivery. This closed-loop control enables the blender to self-regulate noise levels while maintaining adequate blending performance
2Loss of time
If the blender operates at high speed to complete blending tasks faster, then the blending time is reduced, but the noise level increases
Solution Approach 1:
The blender employs periodic variations in motor speed rather than continuous high-speed operation. The controller alternates between higher and lower speed phases, using sensor feedback to determine when to reduce speed, thereby achieving acceptable blending results with reduced average noise levels over the blending cycle
3Object-generated harmful factors
If the motor power is reduced to lower sound levels, then the noise is reduced, but the blending effectiveness may be compromised
Solution Approach 1:
The system changes operational parameters dynamically by adjusting motor speed based on sound level thresholds and blending stage detection. Rather than operating at a fixed low speed, the motor speed is modified in real-time to maintain effectiveness during critical blending phases while reducing power during less demanding periods
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 system effectively reduces noise levels during blending operations by dynamically adjusting motor power based on real-time sound and vibration inputs, providing a quieter blending experience without compromising the blending process.
Implementation Method 1
capturing, via at least one sensor, one or more sound and/or vibration inputs from a blender
Implementation Method 2
capturing, via at least one sensor, one or more sound and/or vibration inputs from a blender
Data Source
AI summary
Provided are methods, systems, and apparatuses for instituting a quiet blending mode. A method includes capturing, via at least one sensor, one or more sound and/or vibration inputs from a blender, comparing the one or more sound and/or vibration inputs to a threshold parameter, and transmitting a command to a blender motor to reduce power when the one or more sound and/or vibration inputs exceed the threshold parameter.