Blender Texture Control Using Real-Time Sensor Feedback and AI
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current blenders lack adaptability in processing food items, leading to inconsistent outcomes due to fixed operational sequences that do not account for varying ingredient conditions, resulting in variable textures of processed food.
Innovation Solution
A blender system equipped with sensors and a microcontroller that uses machine learning and AI to analyze motor signals and physical properties, adjusting processing parameters to achieve a desired texture by identifying the type of food item through a multi-dimensional feature space comparison, allowing for dynamic processing sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed operational sequences are used for processing food items, then the blender operation is simple and reliable, but the texture consistency of processed food items becomes variable and inconsistent
Solution Approach 1:
The patent implements dynamic processing sequences that adapt in real-time based on sensor feedback about food item properties. The controller adjusts blending parameters (speed, duration, intensity) dynamically during operation rather than following fixed predetermined sequences, allowing the system to respond to actual ingredient conditions and achieve consistent texture outcomes.
Solution Approach 2:
The system incorporates sensors that continuously monitor physical properties of ingredients during blending and feed this information back to the controller. This feedback loop enables the controller to modify processing parameters based on real-time conditions, ensuring texture consistency while adapting to variations in ingredient properties.
2Adaptability or versatility
If fixed operational sequences are used for processing food items, then the device complexity is low, but the adaptability to different ingredient conditions becomes insufficient
Solution Approach 1:
The blender system performs self-diagnosis and self-adjustment by using its own sensors to detect ingredient properties and automatically modifying its processing sequence accordingly. The system serves itself by making real-time decisions about processing parameters without requiring external intervention or complex pre-programming for every possible ingredient variation.
Solution Approach 2:
The controller adjusts processing parameters (blending speed, duration, power levels) based on detected physical properties of ingredients. By changing these parameters dynamically in response to sensor data, the system achieves high adaptability to different ingredient conditions without requiring a completely redesigned control architecture.
3Manufacturing precision
If real-time analysis and dynamic adjustment are implemented, then the texture consistency is improved, but the device complexity increases
Solution Approach 1:
The patent replaces complex mechanical adjustment mechanisms with electronic sensing and control systems. Instead of using multiple physical switches, dials, and mechanical linkages to control blending parameters, the system uses electronic sensors to detect ingredient properties and electronically controls motor speed and processing duration, achieving precise texture control with cleaner, more integrated hardware.
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 ensures more accurate and consistent texture outcomes for blended food items by dynamically adjusting processing based on real-time analysis, improving the adaptability and reliability of blender operations.
Implementation Method 1
a monitoring device configured to detect values of one or more physical properties associated with processing food items, for example, at least one of a current and voltage associated with operation of the motor
Implementation Method 2
a motor coupled to a drive shaft and configured to rotate the drive shaft
Implementation Method 3
a blade assembly coupled to the drive shaft. The blade assembly may be configured to process a food item while being rotated by the drive shaft
Data Source
AI summary
A food processor includes a controllable component coupled to components of the food processor and configured to process one or more food items during a first time period. A monitoring device is configured to detect a property associated with the processing of the one or more food items during the first period of time and output a first series of detection signals over the first time period, which correspond to at least one property of the food item being processed. A memory is configured to store a plurality of food item vectors in a multi-dimensional feature space, each of which are associated with a type of food item. A controller is configured to control operations of the controllable component based on the detection signals t.