Coffee Grinder Vibration Sensing for Empty Bean Detection
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Solution Overview
Problem
Existing coffee makers face challenges in reliably detecting a lack of coffee beans in the grinder unit due to contamination, gearbox interference, and varying parameters affecting current draw, leading to inefficient and unreliable detection methods.
Innovation Solution
Measuring the level and spectrum of oscillations generated by the grinder unit during operation to determine the presence of coffee beans, using sensors to record and analyze these vibrations, and stopping the grinding process if no beans are detected, allowing for continuous operation after refilling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional sensing means are used to detect lack of coffee beans, then detection function is provided, but the sensing means are rapidly contaminated by coffee dust and fatty substances
Solution Approach 1:
The patent extracts the detection function from direct contact with coffee beans by using acoustic sensing through the grinder housing. The sensor detects vibrations and sounds generated during grinding without being exposed to coffee dust and fatty substances, thus solving the contamination problem while maintaining detection reliability.
Solution Approach 2:
The grinder housing acts as an intermediary medium that transmits acoustic vibrations from the grinding mechanism to the sensor. This intermediary allows the sensor to detect grinding status indirectly through sound waves, avoiding direct contamination while maintaining reliable detection.
2Reliability
If current draw measurement is used to detect lack of coffee beans, then detection function is provided, but the detection is hampered by gearbox reduction ratio and component wear
Solution Approach 1:
The patent replaces the electrical measurement approach (current draw) with an acoustic measurement approach. By using sensors to detect vibrations and sounds through the grinder housing, the system avoids the problems of gearbox interference and component wear that affect electrical measurements, achieving more reliable detection.
3Reliability
If current draw measurement is used to detect lack of coffee beans, then detection function is provided, but ambient temperature, humidity, and bean properties affect measurement validity
Solution Approach 1:
The patent utilizes mechanical vibrations and acoustic sounds generated during the grinding process as the detection basis. These acoustic characteristics change distinctly between loaded and no-load conditions, providing a detection method that is largely independent of ambient temperature, humidity, and coffee bean properties, thereby improving reliability.
4Productivity
If grinder unit runs under no load conditions, then continuous operation is possible, but the drive motor overheats
Solution Approach 1:
The patent implements a feedback control system where acoustic sensors continuously monitor the grinding process. When the sensor detects no-load conditions (distinctive acoustic signature), the control system interrupts motor operation, preventing overheating. This feedback mechanism enables safe continuous operation by detecting and responding to no-load conditions in real-time.
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
Provides a reliable, cost-efficient, and simple method for detecting coffee bean shortages, independent of changing parameters, ensuring proper coffee production without discarding already ground beans.
Implementation Method 1
measuring the level and/or the spectrum of an oscillation generated by the coffee bean grinder unit during its operation
Data Source
AI summary
In order to detect a lack of coffee beans in a grinder unit of a coffee maker, a method is suggested in which the level and/or the spectrum of an oscillation generated by the grinder unit during its operation is measured. The level of the oscillation and/or the nature of the spectrum are used to decide whether or not coffee beans are present in the grinder unit. Preferably, the level of oscillation of the housing of the coffee grinder unit is monitored. If the level changes by more than a preset value and/or falls below a reference value, it is decided that coffee beans are lacking.

