Sensor System for Detecting Liquid Transitions in Dairy Treatment
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Solution Overview
Problem
Existing sensor systems for liquid quality measurement, such as those used in milking, often generate false-positive alarm signals due to gradual changes in liquid properties, leading to unreliable evaluations.
Innovation Solution
The sensor system addresses this by considering the degree and velocity of changes in liquid properties, using mechanisms like liquid presence detection, peak/trough analysis, and dynamic threshold adjustments to differentiate between meaningful and noise-induced changes, thereby reducing false alarms and ensuring accurate detection of liquid transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sensor system compares liquid property values to absolute threshold values, then it can detect liquid transitions, but it generates false-positive alarm signals due to gradual changes in liquid properties
Solution Approach 1:
The patent applies dynamics by transitioning from static absolute threshold comparison to dynamic relative change detection. The sensor control continuously monitors the detector signal and calculates changes over time, adapting the detection criteria to the actual liquid state. This dynamic approach allows the system to distinguish between gradual property changes (normal variations) and abrupt transitions (liquid changes), thereby reducing false positives while maintaining detection reliability.
Solution Approach 2:
The patent changes the detection parameter from absolute property values to relative change rates. Instead of comparing measured values to fixed thresholds, the system evaluates the velocity and degree of parameter changes. This parameter transformation enables the system to identify liquid transitions based on the rate of change, effectively filtering out gradual variations that do not represent actual liquid transitions.
2Reliability
If the sensor system detects all changes in liquid properties, then it can identify liquid transitions, but it produces false alarms due to noise-induced changes
Solution Approach 1:
The patent applies partial action by selectively responding to only those changes that exceed dynamically determined thresholds. The sensor control monitors all detector signals but triggers alarms only when changes meet specific criteria (magnitude and velocity thresholds). This partial response strategy filters out noise-induced changes while capturing genuine liquid transitions, balancing reliability with manageable system complexity.
Solution Approach 2:
The system implements feedback by continuously monitoring detector signals and using the observed change patterns to adjust detection sensitivity. The sensor control analyzes the velocity and magnitude of changes in real-time, creating a feedback loop that adapts to different liquid conditions. This feedback mechanism enables the system to distinguish between noise and genuine transitions without requiring overly complex external control systems.
3Measurement precision
If the sensor system uses multiple detection mechanisms, then it can differentiate between meaningful and noise-induced changes, but it increases the device complexity
Solution Approach 1:
The patent applies universality by designing the sensor control to perform multiple functions using a single integrated system. The control unit simultaneously acquires detector signals, calculates changes, compares them to thresholds, and generates alarms when necessary. This multi-functional approach achieves precise change detection without proportionally increasing hardware complexity, as the same control unit handles multiple analytical tasks.
Solution Approach 2:
The patent merges the detection and analysis functions into a single integrated sensor control unit. Rather than using separate devices for signal acquisition, change calculation, threshold comparison, and alarm generation, the system combines these functions in one control unit. This merging reduces overall system complexity while maintaining the precision benefits of multiple detection mechanisms.
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 approach enhances the reliability of liquid transition detection, preventing incorrect treatment or machine damage by accurately identifying changes in liquid properties, ensuring the right liquid is supplied and reducing risks of health-threatening consequences.
Implementation Method 1
EP1000535 discloses a method for monitoring the quality of milk by shining light of various colours through it and evaluating the relative transmission
Implementation Method 2
DE19630146 discloses a system for automatic milk separation, with a sensor for measuring milk conductivity
Data Source
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AI summary
Sensor system with a sensor device comprising - a through-flow cell (2) for liquid (5-1, 5-2), - a detector device (6) for measuring a property of the liquid in the cell, for generating an associated detector signal, - a sensor control (7) for analysing the detector signal, characterized in that the sensor control is configured to detect a liquid transition (8) between two different liquids in the cell when a change (per unit time) in the detector signal is greater is than a threshold value. In the case of such a liquid transition detection, the sensor control generates an alarm signal. Liquid transition detection is carried out by means of optical, temperature and/or conductivity sensors.