Silage Fermentation Quality Evaluation Using Surface Stress Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for evaluating silage fermentation quality, such as chemical analysis and human senses, are time-consuming and impractical for on-site assessment, and existing sensor-based methods require complex setups or rely on initial ammonia concentration measurements.
Innovation Solution
A method using a surface stress sensor to detect volatile components from silage, analyzing the composition of gases generated from silage through signals from the sensor, including organic acids and nitrogen-containing compounds, and evaluating fermentation quality based on these signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If chemical analysis methods are used to evaluate silage fermentation quality, then measurement precision is improved, but loss of time increases and device complexity increases
Solution Approach 1:
The patent replaces complex chemical analysis instruments with a gas sensor that directly detects volatile components in silage gas. The gas sensor converts chemical composition information into electrical signals, eliminating the need for time-consuming laboratory equipment and procedures while maintaining evaluation accuracy.
Solution Approach 2:
The patent extracts only the volatile component information needed for fermentation quality evaluation from the silage, rather than performing complete chemical analysis. By focusing on key volatile organic compounds and nitrogen-containing compounds, the system achieves rapid assessment without analyzing all chemical components.
2Measurement precision
If chemical analysis methods are used to evaluate silage fermentation quality, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces specialized analytical instruments with a compact gas sensor system. The gas sensor, combined with a microprocessor, provides automated detection and evaluation, eliminating complex laboratory equipment while maintaining measurement precision through electronic signal processing.
Solution Approach 2:
The gas sensor system is designed to detect multiple volatile components (organic acids, nitrogen-containing compounds) using a single integrated device. This multi-functional approach replaces multiple specialized instruments with one universal evaluation system that handles various fermentation quality parameters.
3Measurement precision
If ammonia concentration change over time is measured to evaluate fermentation quality, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs immediate detection of volatile components in silage gas without waiting for ammonia concentration changes over time. By directly measuring the current composition of volatile organic compounds and nitrogen-containing compounds, the system provides instant fermentation quality evaluation rather than requiring time-based observation.
Solution Approach 2:
The patent extracts fermentation quality information directly from the volatile component composition of silage gas, rather than inferring quality from temporal changes in ammonia concentration. This direct measurement approach eliminates the time required to observe concentration changes while maintaining evaluation accuracy.
4Ease of operation
If simple gas detection is used to evaluate fermentation quality, then ease of operation is improved and loss of time is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent incorporates a microprocessor that automatically processes gas sensor signals, compares detected volatile component ratios against reference data, and outputs fermentation quality evaluation results. This automated feedback system maintains high measurement precision while keeping the operation simple, as the system performs complex analysis without requiring expert intervention.
Solution Approach 2:
The patent uses electronic signal processing and computer-based analysis to maintain measurement precision while simplifying operation. The microprocessor automatically converts raw sensor data into meaningful fermentation quality assessments, replacing complex manual analysis procedures with automated computational methods.
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
Enables rapid and accurate evaluation of silage fermentation quality by detecting organic acids and nitrogen-containing compounds, allowing for comprehensive assessment of silage quality without complex operations or initial concentration measurements.
Implementation Method 1
applying a gas generated from silage to a surface stress sensor; and evaluating fermentation quality based on a composition of the gas generated from the silage using signals output from the surface stress sensor
Data Source
AI summary
An object of the present invention is to make it possible to easily evaluate silage fermentation quality on site or the like. In one embodiment of the present invention, a gas generated from silage is applied to a surface stress sensor, and the amount of either one of organic acids and nitrogen-containing compounds contained in the silage is determined. The surface stress sensor can detect trace components in a gas by a simple device configuration and in simple procedures. Therefore, by utilizing the fact that relationship between the content of these components and the fermentation quality is known, the evaluation of fermentation quality can be easily realized by the above measurement.


