Livestock Sensor Tracking for Early Health Deviation Detection
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Solution Overview
Problem
Existing livestock monitoring systems lack the ability to detect deviations in animal health parameters in real-time, leading to delayed detection of illnesses or health issues in confined livestock.
Innovation Solution
A system equipped with sensors that track livestock location and movement, using triangulation and dead reckoning to determine deviations from expected parameters such as head height, head angle, and feeding/watering frequency, and transmit alerts when deviations are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If real-time sensor monitoring and tracking systems are implemented, then detection speed and health issue identification improve, but device complexity and cost increase
Solution Approach 1:
The monitoring system is divided into independent sensor modules (accelerometer, gyroscope, magnetometer, GPS) that can be individually implemented and combined. Each sensor tracks specific parameters (movement, orientation, location) separately, allowing gradual system deployment and reduced initial complexity while maintaining real-time detection capabilities.
Solution Approach 2:
A single integrated monitoring system performs multiple functions: tracking livestock location, monitoring health parameters, detecting deviations from normal behavior, and triggering alerts. This multi-functional approach consolidates what would otherwise require separate systems, reducing overall complexity while achieving comprehensive real-time monitoring.
2Measurement precision
If continuous monitoring of multiple parameters is performed, then measurement precision and health detection accuracy improve, but energy consumption increases
Solution Approach 1:
The system performs monitoring at regular intervals rather than continuously, with sensors activated periodically to collect data. This periodic sampling maintains measurement precision for health parameters while significantly reducing energy consumption compared to uninterrupted monitoring, allowing the livestock to conserve energy while still enabling timely health issue detection.
Solution Approach 2:
The system monitors multiple parameters simultaneously (location, movement, orientation, acceleration) but focuses computational resources on detecting deviations in critical health indicators. By prioritizing key health parameters over complete continuous tracking of all variables, the system achieves sufficient measurement precision for health detection while managing energy consumption through selective analysis.
Data Source
AI summary
Livestock movement monitoring system and method of use are disclosed herein. An example method includes receiving output from each of a plurality of sensors that are associated with livestock in a confined area, tracking a position and movement of the livestock from the output, determining at least one deviation from an expected parameter using the position and movement, and transmitting an alert to a recipient when the at least one deviation has been determined.