Capsule Inspection via Microwave Density Humidity Profiles
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Solution Overview
Problem
Current methods for inspecting elongated elements made of fibrous material for the presence and intactness of non-fibrous capsules are hindered by variability in capsule weight and dimension, volatility of aromatising substances, and the need for complex sensor calibration, leading to inconsistent quality control and difficulty in detecting non-intact capsules over time.
Innovation Solution
A method using a microwave resonator to detect density and humidity profiles, with dynamic threshold references established through statistical processing of previous inspection cycles, allowing for consistent and accurate identification of capsule position and intactness without requiring sensor reconfiguration, and capable of detecting non-intact capsules both immediately and after a long time post-breakage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sensors are used to detect capsule presence and integrity, then inspection can be performed, but the measurement precision deteriorates due to variability in capsule weight and dimension and volatility of aromatising substances
Solution Approach 1:
The patent changes the detection parameter from direct capsule property measurement (weight, dimension) to measuring the effect of capsule contents on the surrounding fibrous material (humidity, density). This indirect measurement approach is more reliable because it detects the presence and integrity of the capsule contents regardless of capsule size variations or aromatic substance volatility.
Solution Approach 2:
The patent introduces the fibrous material as an intermediary medium between the capsule and the sensors. The sensors do not directly measure capsule properties but rather measure how the capsule contents affect the fibrous material's physical properties (humidity and density), providing more consistent and reliable detection.
2Measurement precision
If complex sensor calibration is performed to account for production batch variations, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system performs self-calibration by automatically establishing dynamic reference thresholds based on statistical analysis of measurements from previous inspection cycles. This eliminates the need for manual sensor calibration and complex configuration, while still adapting to production variations.
Solution Approach 2:
The system uses feedback from previous inspection cycles to continuously refine the dynamic reference thresholds. By analyzing the distribution of measurements over time and adjusting thresholds accordingly, the system maintains high detection accuracy without requiring external calibration intervention.
3Measurement precision
If dynamic threshold references are established through statistical processing, then measurement precision improves for detecting non-intact capsules, but loss of time occurs during statistical analysis of previous inspection cycles
Solution Approach 1:
The system performs preliminary statistical analysis continuously in the background during normal operation, accumulating measurement data from previous inspection cycles. This prepares the dynamic reference thresholds in advance, so that when inspection decisions are needed, the thresholds are already established and ready for immediate use.
Solution Approach 2:
The statistical processing operates continuously rather than periodically, constantly refining the dynamic reference thresholds as new data becomes available. This continuous operation minimizes the time penalty by distributing the computational load throughout production rather than concentrating it at specific intervals.
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
Enables reliable and cost-effective inspection of elongated elements by maintaining sensor configuration consistency, adapting to production batch variations, and accurately identifying intact and non-intact capsules regardless of inspection timing, ensuring consistent quality control across different production batches.
Implementation Method 1
A method using a microwave resonator to detect density and humidity profiles
Implementation Method 2
A method using a microwave resonator to detect density and humidity profiles
Data Source
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AI summary
A method for inspecting an elongated element for smoking articles comprises the steps of: obtaining at least a first profile (2) of a first measurable physical quantity, for example density, and a second profile (4) of a second measurable physical quantity, for example humidity, by means of at least one sensor interacting with the elongated element along the same elongated element; processing at least one of the first profile (2) and the second profile (4) to determine the presence of at least one capsule made of non-fibrous material, for example an aromatising additive inserted inside the elongated element; if the capsule is present, evaluating the intactness of the capsule, comparing the first (2) and the second profile (4) respectively with a first (16, 17) and second threshold reference (21, 22). The method further comprises the steps of moving the first profile (2) and the second profile (4) to an ideal reference position of the capsule along the elongated element; establishing, during the operational functioning, the first threshold reference (16, 17) by statistical processing of the first profile (2); establishing the second threshold reference (21, 22) by statistical processing of the second profile (4), the first and the second statistical processing being performed respectively on moved profiles of a preceding inspection cycle, defined by a predetermined number of inspected elements.