Blend Chamber Liquid Level Sensing for Auto-Calibrated Drink Blending
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Self-serve blending devices face challenges in achieving uniform consistency in blended beverages, particularly with cold beverages containing ice and fruit, due to the need for precise ingredient measurement and efficient blending, which existing technologies fail to address effectively.
Innovation Solution
A self-serve drink blending device equipped with a blend chamber, product sources, a water source, an ice source, a liquid level sensor, and a controller that automatically calibrates the inputs based on capacitive liquid level signals, allowing for precise control of water, product, and ice dispensing rates to ensure consistent blending.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual calibration methods are used for ingredient dispensing, then device complexity is reduced, but manufacturing precision and measurement precision deteriorate
Solution Approach 1:
The system performs automatic calibration of ingredient dispensing without requiring manual intervention. The controller automatically adjusts dispensing parameters based on feedback from sensors and pre-stored calibration data, enabling the device to self-calibrate and maintain precision without complex manual calibration procedures
Solution Approach 2:
Calibration data and dispensing parameters are pre-stored in the controller during manufacturing. This preliminary configuration allows the device to operate with high precision from the start, eliminating the need for complex real-time calibration systems while maintaining manufacturing precision
2Productivity
If multiple ingredients are dispensed simultaneously, then productivity is improved, but measurement precision and blending uniformity worsen
Solution Approach 1:
The dispensing process is divided into sequential stages: first ice is dispensed, then liquid ingredients are added, and finally blending occurs. This segmentation of the dispensing and blending process allows each ingredient to be properly incorporated, maintaining blending uniformity while achieving high productivity through automated multi-ingredient handling
Solution Approach 2:
Sensors monitor the dispensing process and provide feedback to the controller, which adjusts dispensing rates and timing to ensure uniform blending. The system uses feedback from liquid level sensors and dispensing metering to maintain precise control over ingredient incorporation, achieving both high productivity and blending uniformity
3Measurement precision
If liquid level sensing is implemented for calibration, then measurement precision is improved, but device complexity increases
Solution Approach 1:
A liquid level sensor acts as an intermediary element that provides precise measurement feedback to the controller without requiring complex calibration mechanisms. The sensor enables accurate liquid level detection, which the controller uses to automatically adjust dispensing parameters, achieving high measurement precision with minimal added complexity
Solution Approach 2:
The system replaces complex mechanical calibration mechanisms with electronic sensing and control. Liquid level sensors and electronic controllers substitute for manual mechanical adjustment systems, providing precise measurement and control while actually reducing overall system complexity through automation
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 solution enables the production of high-quality beverages with uniform consistency by accurately measuring and blending ingredients, improving the efficiency and quality of blended products, including smoothies, coffees, and other drinks.
Implementation Method 1
The liquid level sensor may include a capacitive sensor. The capacitive sensor may include a pad having at least two conductive traces separated by an insulator.
Data Source
AI summary
A self-serve drink blending device includes a blend chamber, at least one product source, a water source, an ice source, a liquid level sensor, a controller and a dispenser. The blend chamber includes a blending blade. The at least one product source is configured to deliver a volume of product to the blend chamber. The water source is configured to deliver a volume of water to the blend chamber. The ice source is configured to deliver a volume of ice to the blend chamber. The liquid level sensor is mounted to the blend chamber and configured to create a liquid level signal when contents in the blend chamber reach a predetermined level. The controller is configured to automatically calibrate the at least one product source, the water source, and the ice source based on the liquid level signal. The dispenser is arranged to dispense contents from the blend chamber.