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Structure Optimization and Data Processing Method of Electronic Nose Bionic Chamber for Detecting Ammonia Emissions
Yeping Shi1,2, Yunbo Shi1,3,4, Haodong Niu1,3,4
1The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentation of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China.
Sensors (Basel, Switzerland)
|March 13, 2024
Summary
This study presents an optimized electronic nose with a biomimetic chamber for rapid ammonia detection in livestock environments. The system achieves high accuracy, meeting the critical needs of breeding farms for real-time environmental monitoring.
Area of Science:
- Agricultural Engineering
- Environmental Monitoring
- Sensor Technology
Background:
- Livestock farming requires precise, real-time monitoring of ammonia levels.
- Current electronic nose systems exhibit slow response times and insufficient accuracy for ammonia detection.
Purpose of the Study:
- To develop an improved electronic nose system for accurate and rapid ammonia monitoring in livestock environments.
- To optimize biomimetic chamber design and sensor data analysis for enhanced gas detection.
Main Methods:
- Optimized biomimetic chamber construction for an electronic nose.
- Analysis of sensor response data using intelligent algorithms, including a backpropagation (BP) neural network.
- Detection of ammonia and ethanol gases in a controlled circulating airflow environment.
Main Results:
- The optimized biomimetic chamber electronic nose demonstrated rapid gas detection response times.
- High prediction accuracy was achieved: R² of 0.99 for single-output regression and >0.98 for multi-output regression.
- The system effectively detected ammonia from livestock excreta fermentation.
Conclusions:
- The developed electronic nose, integrating a biomimetic chamber and BP neural network, provides an effective solution for ammonia monitoring in livestock farms.
- The system meets the demand for accurate, real-time ammonia detection crucial for breeding environments.
