Livestock Shed Robot Monitoring With Thermal Disease Detection
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Solution Overview
Problem
Intensive poultry farming faces challenges such as ammonia pollution, animal welfare concerns, disease detection, and equipment corrosion in sheds, leading to health issues and increased mortality rates among broilers.
Innovation Solution
A robot surveillance system equipped with sensors and cameras, including thermal imaging, is deployed to monitor ambient conditions, detect anomalies, and analyze animal health, allowing for early disease detection and reduced human intervention, while also providing a method for marking sick animals and autonomously removing crippled or dead birds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If intensive poultry farming is practiced to increase meat production efficiency, then productivity increases, but animal welfare deteriorates and health issues increase
Solution Approach 1:
The system enables automated monitoring and management of poultry health through sensors, cameras, and AI analysis, allowing the farming system to self-diagnose and respond to health issues without constant human intervention, thus maintaining high productivity while improving welfare
Solution Approach 2:
The system continuously collects data from sensors and cameras, analyzes animal behavior and health status, and provides real-time feedback to adjust environmental conditions and alert farmers to potential health issues, creating a closed-loop system that maintains both productivity and welfare
2Object-affected harmful factors
If ventilation is increased to reduce ammonia levels, then air quality improves, but energy consumption increases
Solution Approach 1:
The system uses sensors to continuously monitor ammonia levels and dynamically adjusts ventilation parameters based on real-time conditions, increasing ventilation only when necessary to maintain air quality while minimizing energy consumption during normal conditions
Solution Approach 2:
The ventilation system operates with feedback control, where ammonia sensor readings continuously adjust fan speed and airflow rates, ensuring optimal air quality while consuming minimum energy by matching ventilation intensity to actual pollution levels
3Measurement precision
If more sensors and monitoring equipment are deployed, then disease detection accuracy improves, but device complexity increases
Solution Approach 1:
The system uses multi-functional devices such as cameras that serve both behavioral monitoring and health assessment purposes, and sensors that detect multiple environmental parameters, reducing the total number of devices needed while maintaining high detection accuracy
Solution Approach 2:
The system combines multiple monitoring functions including visual inspection, thermal imaging, and environmental sensing into an integrated platform with centralized AI analysis, simplifying system management and data processing while improving overall detection accuracy
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 effectively monitors animal welfare, reduces ammonia levels, detects diseases early, minimizes human exposure to hazardous conditions, and enhances poultry health by enabling quick intervention and reducing mortality rates through continuous monitoring and autonomous removal of affected birds.
Implementation Method 1
a robot, adapted to move through the shed, said robot comprising at least two cameras, one of which is a thermal camera
Data Source
AI summary
A system for monitoring the welfare of livestock in a shed, the system including a plurality of sensors for measuring ambient conditions in the shed; a robot, adapted to move through the shed; a processing engine and a memory operatively associated with the processing engine. The robot includes at least two cameras, one of which is a thermal camera. The processing engine is operatively associated with the robot and the plurality of sensors for receiving data recorded by the robot and the plurality of sensors, the recorded data including measurements of ambient conditions in the shed; and images from the at two cameras.