Meat Processing Machine Monitoring via Input Sensor Tolerance
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Solution Overview
Problem
Current meat processing machines lack effective monitoring capabilities to determine if the output meat product corresponds to the intended portion of the input product, making it difficult to assess processing quality due to incomplete separation of fillet meat from bones, which can be attributed to the structure of the fish or the machine's limitations.
Innovation Solution
A method involving a meat processing machine with a meat processing unit, an input sensor unit, and a control unit connected to determine a tolerance variable for yield-relevant processing parameters using a mathematical model or database, considering input product data and machine parameters to assess processing accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional meat processing machines are used without monitoring capabilities, then the machine structure remains simple and operation is straightforward, but the ability to assess processing quality is insufficient and separation completeness cannot be evaluated
Solution Approach 1:
The patent implements feedback by using sensors to detect output meat product characteristics and comparing them against expected values derived from input product data. The control unit receives sensor signals and determines whether processing parameters are within acceptable tolerance ranges, enabling continuous quality monitoring and assessment of separation completeness.
Solution Approach 2:
The patent replaces manual quality assessment with automated sensor-based detection systems. Optical sensors, weight sensors, or other detection devices substitute for human inspection, providing objective measurements of output product characteristics such as weight, dimensions, or visual properties to evaluate processing quality.
2Measurement precision
If tolerance variables are determined for each input product using mathematical models, then processing quality assessment accuracy is improved, but computational complexity and data processing requirements increase
Solution Approach 1:
The patent applies preliminary action by determining tolerance variables in advance using mathematical models based on input product characteristics. The control unit calculates expected output parameters and acceptable tolerance ranges before processing occurs, allowing for efficient real-time comparison against actual sensor measurements without complex on-the-fly computations.
Solution Approach 2:
The patent uses copying by creating virtual representations of the processing outcome through mathematical models. The control unit generates expected output product characteristics and tolerance ranges as reference copies, which are then compared against actual measured values from sensors to assess quality without requiring complex real-time analysis.
3Productivity
If monitoring of each processed meat product is implemented, then processing efficiency and error reduction are improved, but the time required for measurement and evaluation increases
Solution Approach 1:
The patent implements continuous monitoring where sensors detect output meat product characteristics in real-time as products move through or leave the processing machine. The control unit continuously compares measured values against tolerance ranges, enabling uninterrupted quality assessment that does not interrupt the processing flow or require stopping the machine.
Solution Approach 2:
The patent rapidly performs measurements and evaluations as products pass through the processing system. Sensors capture data quickly during or immediately after processing, and the control unit swiftly determines whether parameters are within tolerance ranges, minimizing the time each product spends in the monitoring system while maintaining comprehensive quality checks.
Data Source
AI summary
The invention relates to a method for monitoring a meat processing machine having a meat processing unit for processing input meat products fed thereto into output meat products, an input sensor unit, and a control unit for controlling the meat processing unit, wherein the control unit is connected to the input sensor unit, comprising the steps: feeding input meat products to the meat processing unit, acquiring input product data, in particular geometric data and/or weight data, of the input meat product fed to the meat processing unit by means of the input sensor unit, and determining a tolerance variable for a yield-relevant processing parameter by means of a mathematical model or a database, in each case depending on the acquired input product data. The invention further relates to a meat processing machine for performing the method.