Inline Laser Milk Sensing for Real-Time Composition Control
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Solution Overview
Problem
Existing dairy farm systems lack efficient real-time monitoring and control mechanisms for milk composition during the milking process, leading to inefficiencies in herd management, animal health monitoring, and potential contamination of milk supplies.
Innovation Solution
Implementing an in-line electro-optical sensor system using a spectrally tunable laser to monitor milk composition in real-time, coupled with a laser detector and processor to analyze fluid properties, allowing for automated control of milk flow and data aggregation for herd management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time monitoring of milk composition is implemented using electro-optical sensors, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing capabilities (electro-optical sensors for composition analysis, temperature sensors, flow sensors) into a single integrated inline sensor system that operates within the existing milking line infrastructure. This merging approach enables comprehensive real-time monitoring of milk composition and related parameters without requiring separate complex monitoring systems for each parameter.
Solution Approach 2:
The sensor system is designed to perform multiple functions simultaneously - measuring milk composition (fat, protein, lactose, somatic cells), temperature, and flow characteristics all through a single integrated system. The electro-optical sensor serves multiple analytical purposes while the overall system provides both monitoring and control functions, reducing the need for multiple specialized devices.
2Productivity
If automated control of milk flow is implemented based on sensor data, then productivity and farm efficiency are improved, but device complexity increases
Solution Approach 1:
The system implements automated feedback control where sensor measurements of milk composition and flow are continuously monitored, and the control system automatically adjusts milk flow and directs it to appropriate collection vessels based on real-time data. This feedback mechanism enables the system to respond dynamically to changes in milk properties without manual intervention, improving productivity while keeping the control logic manageable through rule-based automation.
Solution Approach 2:
The control system is designed to automatically manage milk flow and collection based on sensor inputs without requiring continuous human operation. The system self-regulates by interpreting sensor data and executing pre-programmed control actions, such as directing milk to different vessels based on composition or initiating alerts when thresholds are exceeded, thereby improving productivity with minimal operational complexity.
3Reliability
If in-line sensor monitoring is integrated into the milking line, then reliability and contamination prevention are improved, but ease of operation decreases
Solution Approach 1:
The sensor system operates automatically within the milking line without requiring manual manipulation or intervention during the milking process. The electro-optical sensors continuously monitor milk properties and the control system automatically responds, making the system self-regulating and transparent to the operator. This maintains ease of operation while significantly improving reliability through continuous automated monitoring and contamination prevention.
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 real-time detection of milk contaminants, improves herd management through data-driven decisions, reduces animal downtime, and enhances farm efficiency and profitability by optimizing milk production processes.
Implementation Method 1
a laser engine that may be configured to emit spectrally tunable laser radiation through the fluid
Implementation Method 2
a laser detector configured to receive the laser radiation after the laser radiation has passed through the fluid and to generate corresponding laser-readings
Implementation Method 3
identifying, from the laser-readings, spectral-data reflective of physical properties of the fluid
Data Source
AI summary
A system for determining characteristics of milk or other fluid flowing through an inline sensor system includes a laser engine comprising that emits a laser radiation through the milk as the milk flows through the sensing system, a laser detector that receives the laser after the laser has passed through the milk and generates corresponding laser-readings, one or more processors, and computer memory storing computer-readable instructions. The instructions cause the processors to receive, from the laser detector, laser-readings from the laser detector, identify spectral data reflective of physical properties of the fluid as the fluid flows through the sensing system from the laser-readings, and determine one or more fluid-measures for corresponding one or more constituents of the fluid using the spectra-data and reference-data defining one or more reference spectra for each possible constituent of the fluid.