Coffee Roasting Control Using Particulate Emission Patterns
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current home coffee roasters lack the ability to accurately adapt roasting characteristics to the initial roasting degree of coffee beans, often resulting in bitter coffee due to insufficient user control over temperature and duration, and rely on inaccurate methods like color sensing and sound detection, which require roasting experience.
Innovation Solution
A method and device using particulate matter sensors to measure emissions during the roasting process, determining the roasting degree based on emission patterns, and adjusting roasting parameters like temperature and duration to achieve desired taste profiles without user expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If color sensing is used to determine roasting degree, then the device can automatically monitor the process, but the accuracy of assessment is poor due to intra-bean and inter-bean color differences and subtle color changes
Solution Approach 1:
The patent replaces optical color sensing with acoustic sound sensing to detect roasting degree. The sensor detects acoustic emissions from coffee beans during cracking stages, substituting a mechanical/acoustic detection system for an optical one that was insufficient due to color variability and subtle changes.
Solution Approach 2:
The patent changes the detection parameter from optical properties (color) to acoustic properties (sound emissions). By monitoring acoustic emissions at different frequencies and intensities during cracking stages, the system achieves more accurate roasting degree assessment independent of bean color variations.
2Measurement precision
If sound sensing is used to detect cracking stages, then the device can determine roasting degree, but the signal-to-noise ratio is poor when the roasting process itself produces large noise
Solution Approach 1:
The patent applies preliminary filtering and pattern recognition algorithms that are pre-programmed to recognize the specific acoustic signature of coffee bean cracking. By preparing the detection system with expected cracking sound patterns before roasting begins, the system can distinguish cracking signals from other noise sources more effectively.
Solution Approach 2:
The system continuously monitors acoustic emissions and uses feedback loops to adjust detection sensitivity and noise filtering in real-time. The controlling unit analyzes the acoustic signal pattern and adapts the detection parameters to maintain optimal signal-to-noise ratio throughout the roasting process.
3Ease of operation
If home roasters use pre-set roasting characteristics, then the device is easy to operate, but the roasting process cannot be adapted to the initial roasting degree of the coffee beans
Solution Approach 1:
The patent implements a self-service system where the roaster automatically determines the initial roasting degree by detecting acoustic emissions during the first few minutes of roasting. The system then self-adjusts the roasting parameters without requiring user input about the bean type or desired roast level, making it both easy to operate and highly adaptable.
Solution Approach 2:
The system uses real-time acoustic feedback from the beans during roasting to automatically adjust process characteristics. The controlling unit continuously monitors cracking sounds and modifies temperature and duration parameters based on the detected roasting stage, enabling automatic adaptation to different bean types and user preferences.
4Adaptability or versatility
If users manually set temperature and duration characteristics, then the device offers control flexibility, but the consumer cannot be expected to make the right decisions without roasting experience
Solution Approach 1:
The patent implements an intelligent feedback system that monitors acoustic emissions and automatically adjusts temperature and duration parameters based on detected cracking stages. This maintains control flexibility through programmable options while removing the burden of expert decision-making by providing real-time automated adjustments based on actual bean behavior.
Solution Approach 2:
The system dynamically adjusts roasting parameters during the process based on real-time acoustic feedback. Rather than using fixed pre-set values, the controlling unit modifies temperature and timing characteristics on-the-fly according to the actual cracking patterns observed, enabling both flexibility and ease of use.
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 precise control of the roasting process, automatically adapting to the type and initial roasting degree of coffee beans, ensuring optimal flavor and preventing under- or over-roasting, while allowing for user-defined taste preferences.
Implementation Method 1
a sensor for detecting a value representing the particulate matter emission from the coffee beans
Implementation Method 2
treating the beans with an airflow at high temperature
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
A device for use in a process for roasting coffee beans comprises measuring means (10) for performing measurements of an actual value of particulate matter emission from the coffee beans during a process of roasting the coffee beans, and controlling means (20) coupled to the measuring means (10) for receiving the outcome of the measurements from the measuring means (10), wherein the controlling means (20) are adapted to find a pattern of the particulate matter emission over time on the basis of the outcome of the measurements, to determine an actual roasting degree of the coffee beans on the basis of the pattern, and to determine and set at least one characteristic of the roasting process on the basis of the roasting degree.