Bread-Making Appliance VOC Sensing for Fermentation Control
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Solution Overview
Problem
Existing methods for determining the fermentation status of bread dough using carbon dioxide sensors and pressure sensors often result in poor quality bread due to overfermentation, as these sensors detect gas release after the process has progressed too far.
Innovation Solution
Utilizing a VOC sensor to monitor volatile organic compounds released during fermentation, combined with machine-learning algorithms, to determine the optimal fermentation status and control the baking process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If carbon dioxide sensors or pressure sensors are used to determine fermentation status, then the fermentation process can be monitored, but overfermentation occurs leading to poor quality bread
Solution Approach 1:
The patent extracts the harmful delayed detection mechanism (CO2/pressure sensing that only works after overfermentation begins) and replaces it with a proactive detection method. The VOC sensor detects volatile organic compounds released during active fermentation, allowing the system to take out the problematic timing delay and prevent overfermentation before it occurs.
Solution Approach 2:
The patent introduces VOC (volatile organic compound) sensors as an intermediary detection method. Instead of directly measuring CO2 or pressure changes that occur too late, the system uses VOC molecules as intermediate indicators that are released during the fermentation process itself, providing an earlier and more accurate signal for optimal fermentation status.
2Ease of operation
If manual fermentation monitoring is used, then the process is simple to operate, but the fermentation status cannot be determined precisely leading to inconsistent bread quality
Solution Approach 1:
The system enables self-service automation where the bread-making appliance autonomously monitors fermentation using VOC sensors and machine learning algorithms. The appliance serves itself by automatically determining optimal fermentation status and controlling the baking process, eliminating the need for manual intervention while achieving precise measurement that manual methods cannot provide.
Solution Approach 2:
The patent implements a feedback loop where VOC sensor data is continuously collected during fermentation, analyzed by machine learning algorithms, and used to determine when optimal fermentation status is reached. This feedback mechanism provides precise real-time monitoring while maintaining ease of operation, as the system automatically adjusts and notifies the user when baking should begin.
3Manufacturing precision
If automated fermentation control is implemented, then bread quality consistency is improved, but the device complexity increases
Solution Approach 1:
The patent applies multi-functionality by integrating VOC sensing, machine learning analysis, and automated baking control into a single bread-making appliance. The system performs multiple functions (detection, analysis, control) within one device, achieving consistent bread quality while managing complexity through functional integration rather than separate components.
Solution Approach 2:
The system achieves precise fermentation control by monitoring changes in VOC concentration parameters during the fermentation process. By tracking these chemical parameter changes rather than physical parameters like pressure or volume, the system can determine optimal fermentation status with high precision, leading to consistent bread quality without requiring complex mechanical structures.
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
This approach allows for precise determination of the fermentation status, preventing overfermentation and ensuring high-quality bread production by automating the process and improving reproducibility.
Implementation Method 1
monitoring fermentation of the dough by use of a VOC sensor, wherein the VOC sensor provides a sensor signal dependent on a concentration of VOC molecules set free from the dough during fermenting
Implementation Method 2
analyzing the sensor signal, in order to determine a current fermentation status of the dough, comparing the current fermentation status with a predefined fermentation status
Implementation Method 3
baking the dough at a predetermined temperature for a predetermined time
Data Source
Figure 1~3
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Figure 6~7
AI summary
The invention relates to method for making bread (11), comprising arranging a predetermined amount and number of ingredients for making a dough (3) in an agitator vessel (2), mixing the ingredients, in order to form the dough (3), allowing fermenting of the dough (3), and baking the dough (3) at a predetermined temperature for a predetermined time. Monitoring fermentation of the dough (3) by use of a VOC sensor (6) is proposed, wherein the VOC sensor (6) provides a sensor signal dependent on a concentration of VOC molecules set free from the dough (6) during fermenting, analyzing the sensor signal, in order to determine a current fermentation status of the dough (3), comparing the current fermentation status with a predefined fermentation status, and, dependent on the comparison, providing a control signal indicating that baking should be started.