Smart coffee bean pre-inspection and roasting equipment

Abstract

This invention provides a smart coffee green bean pre-inspection and roasting device. It mainly offers multiple flavor semantic options through a user interface, allowing users to intuitively input target flavors, such as processing method, bean name, or flavor description. The semantic conversion algorithm within the control module converts these semantics into roasting control parameters such as temperature rise curve and time parameters. Through semantic conversion, sensor integration, and dynamic compensation control technologies, this invention effectively solves the problems of difficult operation, inaccurate control, and insufficient flavor reproducibility of conventional coffee roasting equipment, and significantly improves the level of intelligence and automation, thereby enhancing the practical progress of roasting quality.

Claims

1. A smart coffee green bean pre-inspection and roasting device, comprising: a main body having a roasting chamber inside, the roasting chamber being connected to a feeding module for feeding coffee green beans; a green bean pre-inspection module disposed on the conveying path of the feeding module, the green bean pre-inspection module including at least one image sensing unit and at least one physical characteristic sensing unit for acquiring image features and physical parameters of the coffee green beans; a weight sensing module disposed on the inner circumferential wall of the roasting chamber for measuring the weight of the fed coffee green beans; a roasting module disposed in the roasting chamber, including a heating unit and a hot air circulation unit for heating and heat exchange processing of the coffee green beans; and a temperature sensing module including at least one bean temperature sensor and at least one chamber wall temperature sensor, wherein the bean temperature sensor is disposed near the coffee green beans, and the chamber wall temperature sensor is disposed on the wall of the roasting chamber for detecting the coffee green bean temperature and the chamber temperature respectively. A low-temperature dehydration device, located at a predetermined position within the roasting cavity, is used for moisture control before or during roasting; a control module, electrically connected to the green bean pre-inspection module, weight sensing module, roasting module, temperature sensing module, and low-temperature dehydration device, is used for data processing and control; and a user interface, electrically connected to the control module, allows the user to input multiple flavor semantic options, wherein... The control module generates corresponding baking control parameters based on the flavor semantic options and the output data of each sensing module, and controls the baking module to execute the baking program.

2. The smart coffee green bean pre-inspection and roasting equipment as described in claim 1, wherein the image sensing unit is a hyperspectral camera or a multispectral camera, used to analyze the color distribution, size and surface texture characteristics of coffee green beans.

3. The smart coffee green bean pre-inspection and roasting equipment as described in claim 1, wherein the physical characteristic sensing unit includes a moisture sensor and / or a pressure sensor to estimate the moisture content or density of the coffee green beans.

4. The intelligent coffee green bean pre-inspection and roasting equipment as described in claim 1, wherein when the control module determines that the moisture content of the coffee green beans is higher than a preset value, it controls the low-temperature dehydration device to start for pre-treatment.

5. The smart coffee green bean pre-inspection and roasting equipment as described in claim 1, wherein the flavor semantic option includes at least one of processing method, bean name, roasting level or flavor description.

6. The smart coffee bean pre-inspection and roasting equipment as described in claim 1, wherein the control module dynamically corrects the roasting control parameters based on real-time sensing data during the roasting process to adjust the roasting curve.

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