Coffee machine based on AI taste learning

Abstract

The invention relates to the field of coffee machines, and particularly discloses a coffee machine based on AI taste learning, comprising: a coffee machine body; a self-cleaning liquid outlet assembly is arranged on the front side of the coffee machine body; a liquid collecting plate assembly is arranged below the coffee machine body, and a waste cup collecting assembly is arranged on the lower side of the liquid collecting plate assembly; the waste cup collecting assembly comprises a cup body falling guiding and collecting assembly and a cup body collecting assembly, the cup body falling guiding and collecting assembly is communicated with the liquid collecting plate assembly, and the cup body collecting assembly is communicated with the cup body falling guiding and collecting assembly; the lower part of the cup body falling guide and collection assembly is connected with a liquid analysis assembly; sanitation of the liquid outlet is guaranteed through the self-cleaning assembly, efficient solid-liquid separation and automatic guiding are achieved through the waste cup collecting assembly, and maintenance is simplified. And a closed-loop feedback system is constructed in combination with a liquid analysis component, and manufacturing parameters are automatically corrected according to detection data, so that the equipment is ensured to keep stable high-quality product production for a long time without human intervention.

Description

Technical Field

[0001] This invention relates to the coffee machine industry, specifically to a coffee machine based on AI taste learning. Background Technology

[0002] Most existing smart coffee machines use parameter presets and iterative adjustment control logic, that is, adjusting the grind size or water temperature for the next extraction based on the results of the previous extraction. However, a single coffee extraction is a complex non-linear chemical process, which is divided into three stages: acid release, sweetness release, and bitterness release.

[0003] Traditional machines typically stop extraction based solely on preset time or liquid weight, failing to recognize when excessive tannins or bitter substances begin to form in the later stages of extraction. Due to minute variations in coffee bean condition, even with identical parameters, the timing of off-flavors can fluctuate significantly. This prevents current technology from eliminating inferior flavor segments in real-time during single-cup brewing, hindering the precise control required for premium pour-over coffee. To address the lack of flavor perception and adaptive adjustment capabilities in these machines, this invention proposes an AI-based flavor learning coffee machine. Summary of the Invention

[0004] The purpose of this invention is to provide a coffee machine based on AI taste learning to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A coffee machine based on AI taste learning includes: Coffee machine body; The front side of the coffee machine body is provided with a self-cleaning liquid outlet assembly; A liquid collection plate assembly is provided below the coffee machine body, and a waste cup collection assembly is provided on the lower side of the liquid collection plate assembly. The waste cup collection assembly includes a cup body guide collection assembly and a cup body collection assembly. The cup body guide collection assembly is connected to the liquid collection plate assembly, and the cup body collection assembly is connected to the cup body guide collection assembly. The lower part of the cup-shaped guide collection assembly is connected to a liquid analysis assembly.

[0006] Compared with existing technologies, the advantages of this invention are: It ensures hygiene at the liquid outlet through a self-cleaning component, achieves efficient solid-liquid separation and automatic guidance using a waste cup collection component, and simplifies maintenance. Furthermore, by combining a liquid analysis component to construct a closed-loop feedback system, it automatically corrects manufacturing parameters based on detection data, ensuring that the equipment maintains stable, high-quality output over a long period without human intervention, significantly improving its level of intelligence. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of the structure of a coffee machine based on AI taste learning in an embodiment of the present invention.

[0008] Figure 2 for Figure 1 A schematic diagram of the local structure at point A in the middle.

[0009] Figure 3 This is a schematic diagram of the structure of a limiting bracket assembly in a coffee machine based on AI taste learning, according to an embodiment of the present invention.

[0010] Figure 4 This is a structural block diagram of a learning and analysis module in a coffee machine based on AI taste learning, as described in an embodiment of the present invention.

[0011] In the diagram: 1-Coffee machine body, 2-Self-cleaning liquid outlet assembly, 3-Liquid collection plate assembly, 4-Waste cup collection assembly, 5-Cup body guide and collection assembly, 6-Cup body collection assembly, 7-Liquid analysis assembly, 201-Drain pipe, 202-Fixing bracket, 203-First drive component, 204-Second drive component, 205-Water storage tank, 206-Third drive component, 207-Spray head, 208-Cleaning terry cloth, 301-Liquid collection plate, 302-Sloping inner chamber, 303-First connecting mesh groove, 304-Connecting port, 305-Drain pipe 501-First inner compartment, 502-Fourth driving component, 503-Limiting frame assembly, 504-Second connecting mesh groove, 505-Blocking plate, 506-First connecting pipe, 5031-Connecting shaft, 5032-Limiting plate, 5033-Telescopic ring frame, 601-Second connecting pipe, 602-Second inner compartment, 603-Negative pressure component, 701-Liquid collection compartment, 702-Learning analysis module, 703-Liquid monitor, 7021-Data receiving subunit, 7022-Comparative analysis subunit, 7023-Feedback adjustment subunit. Detailed Implementation

[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] A coffee machine based on AI taste learning, characterized in that, as Figure 1As shown, it includes: a coffee machine body 1; a self-cleaning liquid outlet assembly 2 is provided on the front side of the coffee machine body 1; a liquid collection plate assembly 3 is provided below the coffee machine body 1, and a waste cup collection assembly 4 is provided on the lower side of the liquid collection plate assembly 3; the waste cup collection assembly 4 includes a cup body guide collection assembly 5 and a cup body collection assembly 6, the cup body guide collection assembly 5 is connected to the liquid collection plate assembly 3, and the cup body collection assembly 6 is connected to the cup body guide collection assembly 5; a liquid analysis assembly 7 is connected to the lower part of the cup body guide collection assembly 5.

[0014] As a beverage preparation platform, a self-cleaning dispensing port component 2 is integrated into the front of the main body to address hygiene issues at the dispensing port, enabling automated maintenance of key components. Along the liquid handling path, a liquid collection plate component 3 is located at the bottom of the device to collect overflowing liquid and serve as a transfer station for waste flow. Below this, the waste cup collection group 4 employs a tiered processing design. Through the cooperation of the cup guide collection component 5 and the cup collection component 6, effective separation and guidance of solid waste cups and residual liquid are achieved. This not only optimizes waste collection but also, moreover, a liquid analysis component 7 is connected to the lower part of the guide component. This component can collect and analyze waste liquid data, thereby monitoring the coffee machine's production status and forming a complete closed loop from production to analysis to adjustment, greatly improving the equipment's intelligence level and maintenance efficiency.

[0015] In one embodiment of the present invention: like Figure 1 As shown, the self-cleaning liquid outlet assembly 2 includes a lower liquid pipe 201 and a fixing bracket 202; the lower liquid pipe 201 is connected to the liquid outlet end of the coffee machine body 1; the fixing bracket 202 is mounted on the coffee machine body 1, and a first driving member 203 is connected to the fixing bracket 202; the first driving member 203 is an electric shaft mount; the output end of the first driving member 203 is connected to a second driving member 204; the second driving member 204 is an electric telescopic bracket; the output of the second driving member 204... The end is connected to a water storage tank 205, and a third driving component 206 is installed inside the water storage tank 205; the third driving component 206 is an electric rotating shaft; a plurality of spray heads 207 are connected to the output shaft of the third driving component 206, and a cleaning loop 208 is sleeved on the outside of the third driving component 206; the first driving component 203 is used to drive the water storage tank 205 to rotate directly below the lower liquid pipe 201, and the second driving component 204 is used to drive the water storage tank 205 to rise and fall to fit into or detach from the lower liquid pipe 201.

[0016] The lower liquid pipe 201 receives the liquid outlet of the coffee machine body, while the cleaning operation is completed by a power system mounted on the mounting bracket 202. The first drive component 203 is responsible for horizontal displacement, precisely delivering the water reservoir 205 below the lower liquid pipe; the second drive component 204 is responsible for vertical lifting, driving the water reservoir 205 to rise and fit into or descend and detach from the lower liquid pipe, forming a closed cleaning environment. In the core cleaning area, the third drive component 206 on top of the water reservoir 205 drives the spray head 207 with cleaning bristles 208 to rotate at high speed. While the spray head 207 sprays water to rinse, the cleaning bristles 208 physically rub the pipe wall, thoroughly removing attached coffee oils and residues, effectively preventing clogging and bacterial growth at the outlet after long-term use, ensuring the pure taste of every cup of beverage.

[0017] In one embodiment of the present invention: like Figure 1 As shown, the liquid collection plate assembly 3 includes a liquid collection plate 301, a first connecting mesh groove 303 is provided in the middle of the liquid collection plate 301, and an inclined inner chamber 302 is provided inside the liquid collection plate 301. The inclined inner chamber 302 has a structure that is high in the middle and low on both sides. A drain pipe 305 is provided on both sides of the liquid collection plate 301, and the drain pipe 305 is connected to the lowest point of the inclined inner chamber 302. A connecting port 304 is also provided on both sides of the liquid collection plate 301. The waste cup collection assembly 4 is located below the liquid collection plate 301 and corresponds to the connecting port 304.

[0018] The collection plate 301 serves as a receiving platform, with a first connecting mesh groove 303 in its center allowing for rapid leakage of dripping liquid. To address the issue of liquid accumulation, the collection plate features a specially designed sloping inner chamber 302. This chamber employs a sloping structure with a raised center and lower sides, utilizing gravitational potential energy to naturally guide the liquid flow. Drainage pipes 305, located at the lowest points on both sides, quickly drain accumulated liquid, ensuring the chamber remains dry. Furthermore, the connecting openings 304 on both sides of the collection plate 301 precisely connect with the waste cup collection assembly 4 below, providing a pathway for liquid and reserving space for subsequent solid waste cup drops.

[0019] In one embodiment of the present invention: like Figure 1 and Figure 2As shown, the cup-shaped guide collection assembly 5 includes a first inner chamber 501; the upper end of the first inner chamber 501 is connected to the liquid collection plate assembly 3; a fourth driving component 502 is installed on the side wall of the first inner chamber 501; the fourth driving component 502 is an electric rotating shaft; the output end of the fourth driving component 502 is connected to a limiting frame assembly 503, the limiting frame assembly 503 is located inside the first inner chamber 501; a second connecting mesh groove 504 is inclinedly provided at the bottom of the first inner chamber 501, a baffle plate 505 is provided at the bottom end of the second connecting mesh groove 504, and a first connecting pipe 506 is connected to the bottom of the first inner chamber 501, the first connecting pipe 506 is connected to the liquid analysis assembly 7.

[0020] The fourth drive unit 502, in conjunction with the limiting frame assembly 503, controls and limits the attitude of the falling cup. To enable liquid recovery and analysis, an inclined second connecting mesh trough 504 is provided at the bottom of the first inner chamber 501. When the cup is inverted, residual liquid is filtered out through the mesh trough, while some residual liquid is blocked from flowing into the second inner chamber 602. The residual liquid is then directed to the liquid analysis assembly 7 via the first connecting pipe 506. This not only prevents waste liquid from entering the trash can with the cup and causing pollution, but also provides a pure liquid sample for subsequent concentration analysis.

[0021] In one embodiment of the present invention: like Figure 3 As shown, the limiting frame assembly 503 includes a connecting shaft 5031; the connecting shaft 5031 is connected to the output end of the fourth driving member 502; a limiting plate 5032 is fixedly connected to the connecting shaft 5031, and two symmetrical telescopic ring frames 5033 are provided in the middle of the limiting plate 5032; the telescopic ring frames 5033 are configured to move relative to each other to clamp the cup body, and cooperate with the rotation of the connecting shaft 5031 to drive the cup body to flip.

[0022] The connecting shaft 5031, driven by the fourth driving component, provides rotational torque. A fixed limiting plate 5032 on the shaft supports the core clamping unit and two symmetrical telescopic ring frames 5033. During operation, the telescopic ring frames 5033 can move relative to each other, clamping the waste cup. Subsequently, in conjunction with the rotation of the connecting shaft 5031, the assembly causes the cup to flip. This sequence of actions pours the remaining coffee liquid into the filter tray below, separating solid and liquid waste. This not only improves the waste liquid recovery rate for analysis but also makes the finally collected waste cup drier, reducing the burden of waste disposal and the possibility of odor generation.

[0023] In one embodiment of the present invention: like Figure 1As shown, the cup collection assembly 6 includes a second inner chamber 602; the second inner chamber 602 is connected to the first inner chamber 501 through a second connecting pipe 601; a negative pressure component 603 is connected to the second inner chamber 602; the negative pressure component 603 is a negative pressure fan; the negative pressure component 603 is used to create a negative pressure inside the second connecting pipe 601 and the second inner chamber 602 to draw the cup from the first inner chamber 501 into the second inner chamber 602.

[0024] The second inner chamber 602, which stores waste cups, is connected to the first inner chamber 501 of the preceding stage via a second connecting pipe 601. Unlike the traditional gravity-feed method, a negative pressure component 603 is introduced. When the negative pressure component 603 is activated, a strong negative pressure airflow environment is formed in the second inner chamber 602 and the pipe. The suction generated by the pressure difference can actively and quickly draw the processed (residual liquid poured out) cups from the first inner chamber 501 into the second inner chamber 602 for centralized storage.

[0025] In one embodiment of the present invention: like Figure 1 and Figure 4 As shown, the liquid analysis component 7 includes a liquid collection chamber 701; the liquid collection chamber 701 is connected to the first connecting pipe 506; a liquid monitor 703 is installed inside the liquid collection chamber 701, and a learning analysis module 702 is installed on one side of the liquid collection chamber 701; the liquid monitor 703 is electrically connected to the learning analysis module 702; the learning analysis module 702 includes a data receiving subunit 7021, a comparison analysis subunit 7022, and a feedback adjustment subunit 7023; the data receiving subunit 7021 is used to receive liquid concentration data monitored by the liquid monitor 703; the comparison analysis subunit 7022 is used to compare the received liquid concentration data with preset standard ratio data to determine whether the coffee liquid ratio is consistently stable; the feedback adjustment subunit 7023 is used to generate an adjustment signal and send it to the coffee machine body 1 when the judgment result is unstable, so as to perform closed-loop adjustment of the brewing parameters of the coffee machine body 1.

[0026] The waste liquid sample collected in the collection tank 701 is not merely waste, but also a data source. The built-in liquid monitor 703 continuously monitors key physicochemical indicators of the liquid (such as concentration and TDS value) and transmits the data to the learning and analysis module 702. After the data receiving subunit 7021 of this module collects the data, the comparison and analysis subunit 7022 quickly compares and calculates it with preset standard mixing ratios. Once the monitored data deviates from the standard range (meaning unstable product output), the feedback adjustment subunit 7023 immediately generates an adjustment signal. This signal is sent back to the control center of the coffee machine body 1, automatically correcting parameters such as grind size, water temperature, or extraction time. This process constitutes a complete closed-loop control, ensuring that the coffee machine can maintain a high standard of product quality over a long period without human intervention.

[0027] In summary, the self-cleaning component ensures the hygiene of the liquid outlet, while the waste cup collection component enables efficient solid-liquid separation and automatic guidance, simplifying maintenance. A closed-loop feedback system, combined with a liquid analysis component, automatically adjusts production parameters based on detection data, ensuring the equipment maintains stable, high-quality output over the long term without human intervention, significantly enhancing its level of intelligence.

[0028] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A coffee machine based on AI taste learning, characterized in that, include: Coffee machine body (1); The coffee machine body (1) is provided with a self-cleaning liquid outlet assembly (2) on the front side. A liquid collection plate assembly (3) is provided below the coffee machine body (1), and a waste cup collection assembly (4) is provided on the lower side of the liquid collection plate assembly (3). The waste cup collection assembly (4) includes a cup body guide collection assembly (5) and a cup body collection assembly (6). The cup body guide collection assembly (5) is connected to the liquid collection plate assembly (3), and the cup body collection assembly (6) is connected to the cup body guide collection assembly (5). The lower part of the cup body guide collection component (5) is connected to the liquid analysis component (7).

2. The coffee machine based on AI taste learning according to claim 1, characterized in that, The self-cleaning liquid outlet assembly (2) includes a liquid outlet pipe (201) and a mounting bracket (202); the liquid outlet pipe (201) is connected to the liquid outlet end of the coffee machine body (1); the mounting bracket (202) is installed on the coffee machine body (1), and a first driving component (203) is connected to the mounting bracket (202); the output end of the first driving component (203) is connected to a second driving component (204); the output end of the second driving component (204) is connected to a water storage tank (205). The water storage tank (205) is equipped with a third driving component (206); a number of spray heads (207) are connected to the output shaft of the third driving component (206), and a cleaning loop (208) is sleeved on the outside of the third driving component (206); the first driving component (203) is used to drive the water storage tank (205) to rotate directly below the lower liquid pipe (201), and the second driving component (204) is used to drive the water storage tank (205) to rise and fall to fit into or detach from the lower liquid pipe (201).

3. The coffee machine based on AI taste learning according to claim 1, characterized in that, The liquid collection plate assembly (3) includes a liquid collection plate (301), a first connecting mesh groove (303) is provided in the middle of the liquid collection plate (301), and an inclined inner chamber (302) is provided inside the liquid collection plate (301). The inclined inner chamber (302) has a structure that is high in the middle and low on both sides. Drain pipes (305) are provided on both sides of the liquid collection plate (301), and the drain pipes (305) are connected to the lowest point of the inclined inner chamber (302). Connecting ports (304) are also provided on both sides of the liquid collection plate (301). The waste cup collection assembly (4) is located below the liquid collection plate (301) and corresponds to the connecting ports (304).

4. The coffee machine based on AI taste learning according to claim 1, characterized in that, The cup-shaped guide collection assembly (5) includes a first inner chamber (501); the upper end of the first inner chamber (501) is connected to the liquid collection plate assembly (3); a fourth driving component (502) is installed on the side wall of the first inner chamber (501); the output end of the fourth driving component (502) is connected to a limit frame assembly (503), the limit frame assembly (503) is located inside the first inner chamber (501); a second connecting mesh groove (504) is inclinedly provided at the bottom of the first inner chamber (501), a baffle plate (505) is provided at the bottom end of the second connecting mesh groove (504), a first connecting pipe (506) is connected to the bottom of the first inner chamber (501), and the first connecting pipe (506) is connected to the liquid analysis assembly (7).

5. The coffee machine based on AI taste learning according to claim 4, characterized in that, The limiting frame assembly (503) includes a connecting shaft (5031); the connecting shaft (5031) is connected to the output end of the fourth driving member (502); a limiting plate (5032) is fixedly connected to the connecting shaft (5031), and two symmetrical telescopic ring frames (5033) are provided in the middle of the limiting plate (5032); the telescopic ring frames (5033) are configured to move relative to each other to clamp the cup body, and cooperate with the rotation of the connecting shaft (5031) to drive the cup body to flip.

6. The coffee machine based on AI taste learning according to claim 4, characterized in that, The cup collection assembly (6) includes a second inner chamber (602); the second inner chamber (602) is connected to the first inner chamber (501) through a second connecting pipe (601); a negative pressure component (603) is connected to the second inner chamber (602); the negative pressure component (603) is a negative pressure fan; the negative pressure component (603) is used to create a negative pressure inside the second connecting pipe (601) and the second inner chamber (602) to draw the cup from the first inner chamber (501) into the second inner chamber (602).

7. The coffee machine based on AI taste learning according to claim 4, characterized in that, The liquid analysis component (7) includes a collection chamber (701); the collection chamber (701) is connected to the first connecting pipe (506); a liquid monitor (703) is installed inside the collection chamber (701), and a learning analysis module (702) is installed on one side of the collection chamber (701); the liquid monitor (703) is electrically connected to the learning analysis module (702); the learning analysis module (702) includes a data receiving subunit (7021), a comparison analysis subunit (7022), and a feedback adjustment subunit (7023); the data receiving subunit (7021) is used to receive the liquid concentration value data monitored by the liquid monitor (703); the comparison analysis subunit (7022) is used to compare the received liquid concentration value data with the preset standard ratio data to determine whether the coffee liquid ratio is continuously stable; The feedback adjustment subunit (7023) is used to generate an adjustment signal and send it to the coffee machine body (1) when the judgment result is unstable, so as to perform closed-loop adjustment of the coffee machine body (1)'s production parameters.

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