Ice-making machine that utilizes closed-loop harvest control with vibrational feedback
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Solution Overview
Problem
Current ice-making machines face inefficiencies due to 'non-deterministic ice formation' and incorrect timing for ice harvesting, leading to double-slabbing and machine freeze-ups, as existing methods struggle to accurately detect ice formation amidst environmental noise and varying ice formation patterns.
Innovation Solution
A closed-loop harvest control system using a piezo-electric device to generate and monitor vibrational signals, with a microcontroller processing the signals to determine the presence of ice through specific frequency patterns, ensuring accurate and timely harvesting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If vibration-based ice detection is used, then ice formation detection capability is improved, but reliability deteriorates due to inability to distinguish between ice-induced vibrations and ambient mechanical vibrations
Solution Approach 1:
The patent applies mechanical vibration by generating acoustic waves through a vibrator that couples to the water body. The system exploits the difference in acoustic impedance between liquid water and ice to detect phase changes. When ice forms, it alters the vibration characteristics of the water body, which is detected by the vibrator. This directly addresses the detection difficulty while the controlled vibration frequency and analysis methods distinguish ice-induced changes from ambient vibrations, resolving the reliability concern.
Solution Approach 2:
The system implements feedback by continuously monitoring the acoustic wave properties reflected from or transmitted through the water body and using this information to determine ice formation status. The controller analyzes the reflected acoustic signals in real-time, comparing them against threshold values or patterns that indicate ice presence. This closed-loop feedback mechanism enables reliable distinction between ice-induced vibrations and ambient noise, solving both the detection capability and reliability issues.
2Manufacturing precision
If harvesting is delayed to ensure complete ice formation, then manufacturing precision is improved, but productivity deteriorates due to machine downtime
Solution Approach 1:
The system performs preliminary detection of ice formation status using acoustic wave analysis before the ice is fully formed. By continuously monitoring the vibration characteristics during the freezing process, the system can identify the precise moment when sufficient ice thickness is achieved. This allows harvesting to be initiated at the optimal time rather than waiting for complete formation, thereby maintaining manufacturing precision while reducing unnecessary cycle time and improving productivity.
Solution Approach 2:
The patent replaces traditional mechanical or time-based harvesting triggers with acoustic wave-based detection. Instead of relying on fixed time intervals or mechanical switches that require full ice formation, the system uses acoustic impedance changes to detect ice presence in real-time. This substitution enables precise timing of the harvesting action, ensuring consistent ice quality while minimizing machine downtime and maximizing productivity.
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
This system optimizes ice-making efficiency by reliably detecting ice formation, reducing double-slabbing and machine downtime, and allowing for precise control over ice thickness, enhancing operational efficiency and machine longevity.
Implementation Method 1
A closed-loop harvest control system using a piezo-electric device to generate and monitor vibrational signals
Implementation Method 2
generating an acoustic wave... receiving an electrical representation of the acoustic wave that has been detected from a body of water that is being frozen
Data Source
AI summary
There is provided a method that includes (a) controlling a vibrator to produce an acoustic wave in accordance with a signal that includes (i) an on-time during which a packet of pulses is generated, followed by (ii) an off-time during which no pulses are generated, and thus includes (iii) a frequency component, (b) receiving an electrical representation of the acoustic wave that has been detected from a body of water that is being frozen on a structure, (c) extracting, from the electrical representation, (i) the frequency component, and (ii) a magnitude of the frequency component, (d) recognizing that the magnitude of the frequency component exceeds a threshold value, thus yielding a recognition, and (e) issuing a command to remove the body of water from the structure, in response to the recognition. There is also provided a system that employs the method, and a storage device containing instructions for the method.


