Automated Milk Analysis System for Ketosis Prevention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Milk producing animals, such as cows, are prone to illnesses like ketosis and milk fever, which can lead to reduced milk yield and increased veterinary costs, and existing systems do not effectively detect or prevent these conditions early enough.
Innovation Solution
A system that automatically analyzes milk from individually milked animals to detect unwanted states, allowing for the automatic adjustment of consumable matter composition to prevent or treat illnesses by adding specific additives, such as propylene glycol, based on analysis of constituents like beta-hydroxybutyrate levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If milk is automatically analyzed to detect unwanted states early, then illness prevention capability is improved, but system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: identification unit for recognizing animals, analysis unit for examining milk samples, and supply arrangement for delivering consumable matter. Each module operates independently but contributes to the overall illness prevention function, making the complex system manageable and maintainable while achieving reliable early detection and prevention
2Reliability
If consumable matter composition is automatically adjusted based on milk analysis, then animal health improvement is achieved, but control system complexity increases
Solution Approach 1:
The control unit receives analysis results from the milk examination and automatically adjusts the composition of consumable matter supplied to the animal. This closed-loop feedback system continuously monitors animal health indicators and modifies feed composition in real-time, improving animal health outcomes while automating the control process to minimize manual intervention
Solution Approach 2:
The system adjusts the composition of consumable matter in advance based on predicted or early-detected health issues. By analyzing milk constituents and proactively modifying feed composition before clinical symptoms appear, the system prevents illnesses rather than treating them, improving health outcomes while streamlining veterinary intervention
3Reliability
If early stage illness detection is implemented through milk analysis, then veterinary costs are reduced, but analysis system complexity increases
Solution Approach 1:
The system performs automatic identification of animals, collection and analysis of milk samples, and adjustment of feed composition without requiring continuous human intervention. The automated workflow reduces the need for manual veterinary inspections and laboratory analyses, lowering operational costs while maintaining effective health monitoring through integrated sensor and control systems
Data Source
Figure 1
Figure 2
AI summary
The invention concerns a system for managing the supply of consumable matter to be consumed by milk producing animals. The system comprises a supply arrangement (24, 26, 28, 34, 36, 38) for supplying consumable matter to a feeding trough (14) from which the animal (12) can eat and/or drink, and a control unit (30) which controls the supply of the consumable matter to the feeding trough (14). The system also has an analysis device (40) adapted to ana- lyse the milk from an individual milked animal (12) with regard to at least one property of said milk. The control unit (30) is arranged to receive information from the analysis device (40) and to automatically control the composition of the consumable matter supplied to the feeding trough (14) in dependence on the information received from the analysis device (40).