Adaptive Tuna Canning Control for Precise Filling Weights
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Solution Overview
Problem
Current tuna canning equipment lacks the ability to precisely adapt to varying raw material conditions, leading to inaccuracies in filling weights and product quality, resulting in economic losses and potential product rejection.
Innovation Solution
An adaptive tuna canning system equipped with sensors to measure properties like temperature and humidity, using near-infrared spectroscopy to optimize operating parameters, and supervised machine learning to calculate optimal settings based on historical data, ensuring precise adjustments to raw material properties and production conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of machine parameters is used, then operator experience can guide production, but filling weight precision deteriorates and economic loss increases
Solution Approach 1:
The patent replaces the manual mechanical adjustment system with an automated computer-controlled system. The control unit receives signals from weight measurement devices and automatically adjusts machine parameters (compaction force, cutting position, portion size) without manual intervention, thereby eliminating the imprecision of manual adjustment while maintaining ease of operation through automation.
Solution Approach 2:
The patent implements a closed-loop feedback system where weight measurement devices continuously monitor the filling weight of canned tuna, and the control unit uses this feedback information to automatically adjust machine parameters in real-time. This ensures filling weight precision is maintained while the system remains easy to operate through automatic control.
2Device complexity
If trial and error operation is used, then machine can be operated without complex control systems, but production precision and quality deteriorate
Solution Approach 1:
The patent enables the machine to self-adjust its operating parameters automatically based on real-time weight measurements. The control unit monitors the filling process and autonomously modifies compaction force, cutting position, and portion size without requiring complex external control systems or manual intervention, thereby maintaining simple device architecture while achieving high production precision.
Solution Approach 2:
The patent replaces trial-and-error manual operation with an automated electronic control system that uses weight feedback to precisely adjust machine parameters. This substitution maintains relatively simple device complexity while dramatically improving production precision through computer-controlled automatic adjustment based on real-time measurements.
3Ease of operation
If fixed machine parameters are used, then machine operation is simplified, but adaptability to varying raw material conditions deteriorates
Solution Approach 1:
The patent transforms the machine from a static fixed-parameter system to a dynamic adaptive system. The control unit continuously monitors raw material properties through weight measurements and automatically adjusts machine parameters (compaction force, cutting position, portion size) in real-time to adapt to variations in raw material conditions, while maintaining ease of operation through automatic control without requiring complex manual adjustments.
Solution Approach 2:
The patent implements a feedback mechanism where weight measurement devices continuously monitor the filling process and raw material characteristics, and the control unit uses this information to automatically adjust machine parameters. This enables the machine to adapt to varying raw material conditions while keeping the operation simple through automated control, eliminating the need for manual parameter changes.
4Manufacturing precision
If automated portion control is implemented, then filling weight precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical automation systems with a streamlined electronic control system that uses weight feedback to automatically adjust machine parameters. The control unit receives simple weight signals from measurement devices and autonomously modifies compaction force, cutting position, and portion size, achieving high filling weight precision while maintaining relatively simple device complexity through electronic rather than mechanical automation.
Solution Approach 2:
The patent enables the machine to self-regulate its portion control automatically based on real-time weight measurements. The control unit monitors the filling process and autonomously adjusts parameters without requiring complex external control systems, thereby achieving high filling weight precision while keeping the automation system relatively simple through self-service 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 system achieves improved productivity, accuracy in filling weights, and enhanced product quality by dynamically adjusting to changing conditions, minimizing deviations and optimizing production processes.
Implementation Method 1
using near-infrared spectroscopy to optimize operating parameters
Data Source
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AI summary
A system and adaptive method of canning tuna. The system comprises a tuna canning machine (2) and an optimization unit (3) configured to collecting a production data history (5) formed by a plurality of past production data (6) captured by at least one machine of training tuna canning (7) during the tuna canning process in different past productions; receiving input parameters (8) from a new production of the tuna canning machine (2); establishing a target function (13) for the new production of the tuna canning machine (2); and calculating, from the production data history (5), optimal operating parameters (9) for the new production by optimizing the target function (13). The tuna canning machine (2) is configured to execute the canning of tuna in the new production based on the optimal operating parameters (9).