Bread Baking Monitoring With Tinted Window and Closed-Loop Control
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Solution Overview
Problem
Current bread baking processes require manual setup and supervision, leading to potential errors in temperature, time, and circulation settings, resulting in underbaked or overbaked bread due to variations in oven preheating, dough preparation, and environmental factors, and also face challenges in processing food products with varying shapes, sizes, and flour characteristics in industrial settings.
Innovation Solution
A heat treatment monitoring system that uses a camera and sensors to monitor the baking process through a double glass window, with tinting to reduce external light interference, and employs laser triangulation for volume measurement, along with a control unit to adjust parameters automatically based on image processing and sensor data, enabling closed-loop control and adaptive processing for different food types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a camera is used to monitor the baking process through a window, then the baking process can be automated and monitored, but external light interferes with image quality and processing
Solution Approach 1:
A transparent window is introduced as an intermediary element between the camera and the baking chamber. The window allows light transmission for monitoring while physically separating the camera from direct exposure to external light sources and chamber heat, thus mediating between the need for automation and the harmful effect of external light interference.
Solution Approach 2:
The window material is selected or treated to have specific optical properties that selectively transmit or block certain wavelengths of light. This color/transparency modification allows the window to transmit visible light for camera monitoring while blocking interfering external light sources, thereby resolving the contradiction between automation capability and light interference.
2Manufacturing precision
If manual setup and supervision is used for bread baking, then flexibility in handling different food types is maintained, but errors in temperature, time, and circulation settings occur leading to inconsistent quality
Solution Approach 1:
A monitoring system with camera and sensors provides continuous feedback on the baking process parameters and product state. This feedback loop enables automatic adjustment of temperature, time, and circulation settings, ensuring consistent quality across different batches while reducing reliance on manual supervision and minimizing human error.
Solution Approach 2:
The baking system is equipped with automated monitoring and control capabilities that enable it to self-regulate the baking process. The system independently monitors parameters, detects product state changes, and adjusts settings without human intervention, thereby achieving consistent manufacturing precision while simplifying operation.
3Adaptability or versatility
If traditional sensors are used for monitoring, then the system structure remains simple, but the ability to process food products with varying shapes, sizes, and flour characteristics is limited
Solution Approach 1:
The monitoring system integrates multiple sensing modalities (camera for visual inspection, sensors for temperature and environmental parameters) into a unified platform that can handle diverse food products. This multi-functional system adapts to different shapes, sizes, and flour characteristics by processing various types of data, thereby achieving versatility without requiring separate specialized systems for each food type.
Solution Approach 2:
The system transitions from traditional single-parameter sensing to multi-dimensional monitoring by incorporating visual imaging data alongside conventional sensor measurements. This addition of spatial and visual dimensions enables the system to detect and adapt to variations in product shape, size, and surface characteristics, greatly enhancing adaptability while increasing system complexity in a controlled manner.
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 allows for efficient, automated bread baking with reduced human intervention, ensuring consistent quality by minimizing external light effects and adapting to variations in food properties, thus improving production efficiency and flexibility.
Implementation Method 1
a camera to observe the inside of the heat treatment chamber through the inside window
Implementation Method 2
employs laser triangulation for volume measurement
Data Source
Figure 1A~1B
Figure 2A~2B
Figure 3
AI summary
A heat treatment monitoring system comprises a sensor unit having at least one sensor to determine current sensor data of food being heated; a processing unit to determine current feature data from the current sensor data; and a monitoring unit adapted to determine a current heating process state in a current heating process of the monitored food by comparing the current feature data with reference feature data of a reference heating process.