Cattle Sorting Facility Using PLC Feed-Pen Assignment
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Solution Overview
Problem
Large feedlots face challenges in managing diverse cattle populations effectively, as existing methods fail to accurately assess individual animal needs for optimal meat production, leading to increased costs and reduced economic returns due to inefficient feed allocation and lack of personalized care.
Innovation Solution
A sorting facility equipped with a weigh box, sensors for weight and bone structure measurement, and a programmable logic controller (PLC) that uses a sorting algorithm to determine optimal feed-pen destinations based on collected data, ensuring precise feed administration and care protocols for each animal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional group-based management methods are used, then operational simplicity is maintained, but feed allocation efficiency deteriorates and economic returns decrease
Solution Approach 1:
The system segments the cattle population into individual units, each with unique identification and characteristics. Instead of managing cattle as homogeneous groups, the system divides the population into individually trackable entities with specific feed requirements, enabling precise feed allocation based on each animal's bone structure, weight, and growth potential.
Solution Approach 2:
The system changes the management parameters from group-level averages to individual-level specific parameters. By measuring and tracking individual cattle characteristics (bone structure, weight, ID), the system transforms feed allocation from standardized group feeding to customized individual feeding based on measured physiological parameters.
2Manufacturing precision
If individualized feed allocation is implemented, then meat quality improvement is achieved, but measurement and data collection complexity increases
Solution Approach 1:
The system replaces manual measurement methods with automated optical and electronic measurement systems. Bone structure and weight are measured using non-contact sensors and imaging technology, eliminating the need for physical handling and manual measurement, thereby reducing labor complexity while enabling precise individual assessment.
Solution Approach 2:
The cattle themselves facilitate the measurement process by standing in designated areas during regular handling operations. The system captures measurement opportunities during routine facility operations, with animals naturally positioned for scanning, reducing the need for separate measurement procedures and minimizing additional complexity.
3Measurement precision
If automated sorting and routing systems are deployed, then sorting precision is improved, but system complexity and initial costs increase
Solution Approach 1:
The system performs preliminary sorting by directing cattle to appropriate pens based on their measured characteristics before feed distribution. Cattle are routed to specific pens that match their feed requirements, and this routing information is stored and used for subsequent automated feed allocation, eliminating the need for complex real-time sorting during feeding operations.
Solution Approach 2:
The system introduces a central control system that acts as an intermediary between measurement data and routing mechanisms. This control system processes individual cattle characteristics and generates routing commands, simplifying the complexity by centralizing decision-making logic rather than distributing it across multiple complex sorting mechanisms.
4Adaptability or versatility
If comprehensive data collection is performed, then feed optimization is achieved, but data processing requirements and time consumption increase
Solution Approach 1:
The system collects and processes cattle measurement data during routine handling operations before feed distribution begins. By completing data collection and preliminary processing in advance, the system minimizes time loss during actual feeding operations, enabling rapid feed allocation based on pre-processed individual cattle profiles.
Solution Approach 2:
The system maintains continuous data collection and processing operations throughout cattle handling activities. Rather than performing batch processing that stops operations, the system continuously updates cattle profiles and adjusts feed protocols in real-time, ensuring that feed optimization adapts continuously without interrupting workflow.
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
The system enables accurate sorting and allocation of cattle to optimize feed usage, improve meat quality, and enhance economic returns by tailoring feed and care to individual animal needs, thereby reducing costs and increasing efficiency.
Implementation Method 1
a sensor of the one or more sensors may include a light curtain for measuring the bone structure
Data Source
AI summary
Systems and methods for sorting livestock including a livestock processing station, a computer network system, and a livestock routing mechanism. The livestock processing station confines the individual livestock, allowing individual livestock data to be collected and analyzed. The computer network system includes a programmable logic controller (PLC) for data input at the livestock processing station and a sorting application coupled to the PLC via a computer network, the sorting application for analyzing individual livestock data and assigning livestock to pens.