Automatic coffee brewing method and device based on AI artificial intelligence

Abstract

The invention discloses an automatic coffee brewing method and device based on AI artificial intelligence, and belongs to the field of artificial intelligence. The method comprises the steps that a sound signal is acquired and recognized, and brewed coffee type information is obtained; detecting coffee cup position information of one or more coffee cups placed on the conveyor belt; the brewing device starts coffee brewing control operation based on the brewing data; the conveyor belt is driven to move to convey the corresponding coffee cups to designated positions; whether one or more coffee cups arrive at one or more designated positions or not is determined, and when the coffee cups arrive at the designated positions, the brewing device is controlled to inject brewed coffee into the coffee cups; and obtaining pattern information of the current coffee cup and displaying the pattern information on the interactive interface. The coffee brewing efficiency can be improved, and better interaction experience can be provided for users.

Description

Technical Field

[0001] The present invention relates to the technical fields of electronic information, machinery, coffee food, etc., and in particular to an automatic coffee brewing method and device based on AI artificial intelligence. Background Art

[0002] Coffee machines and their devices have been widely used in people's lives. Coffee machines belong to the kitchen appliance industry, with a wide variety of products. Coffee machine manufacturing technology has also become mature. With the development of emerging AI technology, AI technology has gradually developed into various fields.

[0003] Existing coffee machines require users to input brewing information one by one, and make one cup of coffee at a time, which requires more manual operations and has low brewing efficiency. And making multiple cups of coffee at the same time may cause confusion when users take them. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes an automatic coffee brewing method and device based on AI artificial intelligence, which can improve the coffee brewing efficiency and provide users with a better interactive experience, avoiding the problem of confusion caused by making multiple cups of coffee at the same time.

[0005] On the one hand, an embodiment of the present invention provides an automatic coffee brewing method based on AI artificial intelligence, comprising the following steps: S100, acquiring and identifying a sound signal, obtaining brewed coffee type information and storing it in chronological order as a coffee queue to be brewed; S200, detecting coffee cup position information of one or more coffee cups placed on a conveyor belt, and obtaining a coffee cup position information queue; S300, acquiring brewed coffee type information of the coffee queue to be brewed based on the number of brewing devices, obtaining brewing data according to the brewed coffee type information, and the brewing device starting a coffee brewing control operation based on the brewing data; S400, driving the conveyor belt to move the corresponding coffee cup to a first designated position based on the first coffee cup position information in the coffee cup position information queue; S500, determining whether one or more coffee cups have arrived at one or more designated positions, and when the coffee cups have arrived at the designated positions, controlling the brewing device to inject the brewed coffee into the coffee cups; S600, after injecting the brewed coffee into the coffee cups, acquiring pattern information of the current coffee cups, and displaying the pattern information on an interactive interface.

[0006] According to some embodiments of the present invention, step S300 includes: S310, obtaining the number M of brewing devices, determining whether the length of the coffee queue to be brewed is greater than or equal to the number of brewing devices, and if so, obtaining the first M brewing coffee type information from the coffee queue to be brewed and sequentially assigning them to the brewing devices; if not, obtaining all brewing coffee type information from the coffee queue to be brewed and sequentially assigning them to the brewing devices.

[0007] According to some embodiments of the present invention, step S500 includes: S510, when the coffee cup reaches the first designated position, based on the number N of brewing devices currently assigned with brewing coffee type information, obtaining the first N coffee cup position information in the coffee cup position information queue, calculating the offset of the remaining coffee cup position information relative to the first coffee cup position information except the first coffee cup position information, traversing all offsets, and determining whether each offset is within a preset offset range, if so, determining that the current coffee cup has reached the designated position and executing step S520; if not, obtaining an adjustment value according to the offset of the current coffee cup and the preset offset range and executing step S530; S520, controlling the brewing device to inject the brewed coffee into the current coffee cup; S530, when the brewing devices corresponding to all the coffee cups that have reached the designated position inject the brewed coffee into the coffee cups, driving the conveyor belt according to the adjustment value to perform position adjustment operations on the coffee cups that have not reached the designated position, and controlling the corresponding brewing devices to inject the brewed coffee into the coffee cups.

[0008] According to some embodiments of the present invention, the brewing data includes: hot water temperature, added water amount, added coffee amount, added milk amount and added sugar amount.

[0009] According to some embodiments of the present invention, step S100 includes: S110, obtaining brewed coffee type information according to the sound signal, and queueing the brewed coffee type information in chronological order to obtain a queue of coffee to be brewed; S120, determining whether the length of the coffee cup position information queue is greater than or equal to the length of the queue of coffee to be brewed, and if not, issuing a coffee cup placement prompt.

[0010] According to some embodiments of the present invention, step S600 includes: S610, based on an electronic tag recognition device set next to a specified position, identifying the electronic tag set on the coffee cup, obtaining the pattern of the current coffee cup according to the electronic tag information and displaying it on the interactive interface; and sending the pattern of the current coffee cup to the user's mobile device.

[0011] According to some embodiments of the present invention, step S600 includes: S620, acquiring images of coffee cups on a conveyor belt from multiple angles based on a camera device, and associating the images with the coffee cup position information to obtain multiple images corresponding to each coffee cup position information; S630, performing median filtering on the images to obtain preprocessed images; and calculating the complexity of the preprocessed images; S640, for the complexity corresponding to multiple images of the same coffee cup position information, using the image with the highest complexity as the logo image of the coffee cup position information; S650, after completing the operation of injecting the brewed coffee into the coffee cup, acquiring the logo image corresponding to the current coffee cup and displaying it on the interactive interface.

[0012] According to some embodiments of the present invention, step S630 includes: S631, obtaining the absolute value of the pixel difference between each pixel in the image and the adjacent pixel, adding the absolute value of the difference between each pixel and the adjacent pixel, and using the added value as the complexity of the image; or S632, dividing the image into several regions, calculating the absolute value of the difference between the mean value of the pixel points in each region and the mean value of the pixel points in the adjacent region, adding the absolute value of the difference corresponding to each region, and using the added value as the complexity of the image.

[0013] According to some embodiments of the present invention, the method further includes: S700, calculating the waiting time corresponding to each element in the current coffee queue to be brewed based on the time required for the brewing operation obtained based on the brewing coffee type information corresponding to the brewing device, the number of coffee cups that have not reached the specified position, the time required to inject coffee into the coffee cups, and the time required to adjust the positions of the coffee cups, and displaying the waiting time and the coffee cup pattern on the interactive interface.

[0014] The automatic coffee brewing method based on AI artificial intelligence of the embodiment of the present invention includes at least the following beneficial effects: (1) The embodiment of the present invention identifies the brewing coffee type data and determines the brewing data of each cup of coffee through voice recognition; (2) It has a multi-cup coffee brewing program and can continuously memorize the brewing data of multiple cups of coffee; (3) It is equipped with a coffee cup conveyor belt to automatically move the coffee cups placed on the conveyor belt to the designated position; (4) Multiple brewing devices can realize the brewing of multiple cups of coffee at the same time, thereby improving efficiency; (5) After the coffee is brewed, a coffee cup pattern is displayed on the interactive interface so that the user can take the coffee according to the coffee cup without worrying about confusion; (6) The coffee cup image is captured from multiple angles and the image complexity is calculated, and the coffee cup image is selected according to the complexity to be displayed on the interactive interface, so that the user can bring his own coffee cup and avoid confusion between similar coffee cups by selecting the coffee cup image with the highest complexity; (7) The waiting time for each cup of coffee is calculated to provide the user with the required waiting time.

[0015] Another aspect of an embodiment of the present invention provides an automatic coffee brewing device based on AI artificial intelligence, comprising: an ARM central processing unit, a data storage device, a coffee cup placement cavity, a brewing device, a display panel and control buttons.

[0016] The automatic coffee brewing device based on AI artificial intelligence in the embodiment of the present invention includes at least the following beneficial effects: the embodiment of the present invention is equipped with a coffee cup conveyor belt, which automatically moves the coffee cups placed on the conveyor belt to the specified position; multiple brewing devices can realize the simultaneous brewing of multiple cups of coffee, thereby improving efficiency.

[0017] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0019] Figure 1 is a schematic structural diagram of a device according to an embodiment of the present invention;

[0020] Figure 2 A schematic block diagram of a module of an apparatus according to an embodiment of the present invention;

[0021] Figure 3 A schematic diagram of a method according to an embodiment of the present invention;

[0022] Figure 4 A schematic diagram of a flow chart of an intelligent brewing program according to another embodiment of the present invention;

[0023] Figure 5 Schematic diagram of the flow of an intelligent brewing program based on sound recognition according to another embodiment of the present invention.

[0024] Reference numerals:

[0025] Coffee device control system 101, coffee cup movement control system 102, coffee brewing system 103, storage module 104, coffee cup 201, empty coffee cup 202, first display screen 203, second display screen 204. DETAILED DESCRIPTION

[0026] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0027] In the description of the present invention, "several" means one or more, "more" means two or more, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0028] Reference Figure 1 In one embodiment, the device structure of the present invention includes: a coffee cup movement control system 102, a coffee cup 201, an empty coffee cup 202, a coffee brewing system 103, a first display screen 203, after brewing is completed, the first display screen 203 displays a coffee cup pattern, and a second display screen 204 displays the type of coffee, the sugar content of the coffee, the amount of milk and the amount of water.

[0029] Reference Figure 2 In one embodiment, the modules of the system of the present invention include: a coffee device control system 101, a coffee cup movement control system 102, a coffee brewing system 103, and a storage module 104. Among them, the coffee device control system 101 includes a device system control program, a real-time control program, a device working status detection program, etc. The coffee cup movement control system 102 includes a conveyor belt, a drive motor and a coffee cup position detection circuit. The coffee cup can move continuously and can hold several coffee cups. By increasing the length of the conveyor belt, more coffee cups can be placed. The coffee brewing system 103 runs a coffee brewing control program, including: hot water temperature control, water addition amount, coffee addition amount, milk addition amount and sugar addition amount. The storage module 104 includes a FLASH data storage device for storing machine function memory and various coffee brewing data, including: water addition amount, milk addition amount and sugar addition amount.

[0030] Reference Figure 3 The embodiment of the present invention provides an automatic coffee brewing method for the automatic coffee brewing device, comprising the following steps:

[0031] S100, acquiring and identifying a sound signal, obtaining information on the types of coffee to be brewed, and storing the information in chronological order as a queue of coffee to be brewed.

[0032] S200: Detect coffee cup position information of one or more coffee cups placed on a conveyor belt to obtain a coffee cup position information queue.

[0033] S300: obtaining information on the types of coffee to be brewed in the coffee queue based on the number of brewing devices, obtaining brewing data according to the information on the types of coffee to be brewed, and the brewing devices starting a coffee brewing control operation based on the brewing data.

[0034] S400: Based on the first coffee cup position information in the coffee cup position information queue, drive the conveyor belt to move and send the corresponding coffee cup to the first designated position.

[0035] S500: Determine whether one or more coffee cups have reached one or more designated positions, and when the coffee cups have reached the designated positions, control the brewing device to inject brewed coffee into the coffee cups.

[0036] S600: After pouring the brewed coffee into the coffee cup, obtain the pattern information of the current coffee cup, and display the pattern information on the interactive interface.

[0037] In some embodiments, step S300 of the embodiment of the present invention includes: S310, obtaining the number M of brewing devices, determining whether the length of the coffee queue to be brewed is greater than or equal to the number of brewing devices, and if so, obtaining the first M brewing coffee type information from the coffee queue to be brewed and sequentially assigning them to the brewing devices; if not, obtaining all brewing coffee type information from the coffee queue to be brewed and sequentially assigning them to the brewing devices.

[0038] In some embodiments, step S500 of the embodiment of the present invention includes:

[0039] S510, when the coffee cup reaches the first designated position, based on the number N of brewing devices to which brewing coffee type information is currently assigned, obtain the first N coffee cup position information in the coffee cup position information queue, calculate the offsets of the remaining coffee cup position information relative to the first coffee cup position information except the first coffee cup position information, traverse all offsets, and determine whether each offset is within a preset offset range. If so, determine that the current coffee cup has reached the designated position and execute step S520; if not, obtain an adjustment value according to the offset of the current coffee cup and the preset offset range and execute step S530.

[0040] S520: Control the brewing device to inject the brewed coffee into the current coffee cup.

[0041] S530. After the brewing devices corresponding to all the coffee cups that have reached the designated position have injected the brewed coffee into the coffee cups, the conveyor belt is driven according to the adjustment value to adjust the positions of the coffee cups that have not reached the designated position, and the corresponding brewing devices are controlled to inject the brewed coffee into the coffee cups.

[0042] In some embodiments, the brewing data of the embodiments of the present invention include: hot water temperature, amount of water added, amount of coffee added, amount of milk added and amount of sugar added.

[0043] In some embodiments, step S100 of the embodiment of the present invention includes:

[0044] S110. Obtain brewed coffee type information according to the sound signal, and queue the brewed coffee type information in chronological order to obtain a queue of coffee to be brewed.

[0045] S120: Determine whether the length of the coffee cup position information queue is greater than or equal to the length of the coffee to be brewed queue; if not, issue a coffee cup placement prompt.

[0046] In some embodiments, step S600 of the embodiment of the present invention includes: S610, based on the electronic tag recognition device set next to the designated location, identifying the electronic tag set on the coffee cup, obtaining the current coffee cup pattern according to the electronic tag information and displaying it on the interactive interface; and sending the current coffee cup pattern to the user's mobile device. The application scenario of this embodiment is generally that a coffee shop is equipped with several coffee cups with different patterns, each coffee cup is provided with a corresponding electronic tag, and the coffee cup pattern information is obtained by identifying the electronic tag and displayed on the interactive interface. On the other hand, the coffee cup pattern is sent to the user's mobile device, so that the user can take coffee according to the coffee cup pattern information.

[0047] In some embodiments, step S600 of the embodiment of the present invention includes:

[0048] S620: Acquire images of coffee cups on the conveyor belt from multiple angles based on the camera device, and associate the images with the position information of the coffee cups to obtain multiple images corresponding to the position information of each coffee cup.

[0049] S630, performing median filtering on the image to obtain a preprocessed image; and calculating the complexity of the preprocessed image.

[0050] S640: For the complexity corresponding to multiple images of the same coffee cup location information, use the image with the highest complexity as the marker image of the coffee cup location information.

[0051] S650: After the operation of pouring the brewed coffee into the coffee cup is completed, a logo image corresponding to the current coffee cup is obtained and displayed on the interactive interface.

[0052] The application scenario of the embodiment of the present invention can be an unmanned self-service coffee shop. The coffee shop does not need to be equipped with coffee cups to avoid food safety problems caused by coffee cups not being cleaned in time. Users can bring their own coffee cups, obtain the cup pattern through camera recognition, and display it on the interactive interface after the production is completed to remind the corresponding user to take it. In this way, there is no need to take a number, and the corresponding user can be reminded to take the coffee in time, which improves the user experience.

[0053] In some embodiments, step S630 of the embodiment of the present invention includes: S631, obtaining the absolute value of the pixel difference between each pixel and the adjacent pixel in the image, adding the absolute value of the difference between each pixel and the adjacent pixel, and using the added value as the complexity of the image.

[0054] In some embodiments, step S630 of the embodiment of the present invention includes: S632, dividing the image into several regions, calculating the absolute value of the difference between the mean value of the pixels in each region and the mean value of the pixels in the adjacent region, adding the absolute value of the difference corresponding to each region, and using the added value as the complexity of the image.

[0055] In some embodiments, the method of the embodiment of the present invention also includes: S700, based on the time required for the brewing operation obtained based on the brewing coffee type information corresponding to the brewing device, the number of coffee cups that have not reached the specified position, the time required to inject coffee into the coffee cups, and the time required to adjust the position of the coffee cups, calculate the waiting time corresponding to each element in the current coffee queue to be brewed, and display the waiting time and coffee cup pattern on the interactive interface.

[0056] Reference Figure 4 In a specific embodiment, the smart coffee brewing operation program of the embodiment of the present invention includes the following steps:

[0057] S001. Receive the start signal: "Master", or "Master, are you there?" voice recognition, voice data conversion; the device system answers "Master, are you there?"; ⑴ cappuccino coffee, ⑵ 50% sugar, ⑶ 70% milk are required. In the coffee brewing program, the amount of sugar, milk and water can be set.

[0058] S002, (1) Determine whether the first cup of coffee is received and determine the type of coffee; (2) Determine whether a second cup of coffee is brewed and prepare to start the brewing process; (3) Determine whether a third cup of coffee is brewed and prepare to start the brewing process.

[0059] S003, coffee cup guide rail movement: the first empty cup moves to the designated position, the second empty cup moves to the preparation position, the third empty cup moves to the preparation position, and the coffee cups move in a cycle.

[0060] S004. Coffee brewing is complete. The system sends out: ① the sound signals of "coffee brewing is complete" and "enjoy the aromatic coffee"; ② the machine display screen displays the "full coffee cup" pattern.

[0061] Reference Figure 5 In a specific embodiment, the intelligent brewing program based on AI voice recognition of the embodiment of the present invention includes the following steps:

[0062] S101 procedure starts;

[0063] The S102 coffee machine is powered on, the system is reset, and it is in standby mode;

[0064] S103 starts the sound sensor to identify the sound;

[0065] S104 converts the sound signal into a signal of brewing coffee type;

[0066] S105 determines whether the sound signal is cappuccino coffee. If yes, execute S506; if no, jump to S107;

[0067] S106: milk is heated and foamed and poured into the coffee cup, coffee beans are ground and water is heated and poured into the coffee cup, and then the process goes to S104;

[0068] S107 determines whether the sound signal is latte coffee. If yes, execute S108; if no, jump to S109;

[0069] S108: milk is heated and foamed and poured into the coffee cup, coffee beans are ground and water is heated and poured into the coffee cup, and then the process goes to S104;

[0070] S109 determines whether the sound signal is American coffee. If yes, execute S110; if no, jump to S111;

[0071] S110 grinds coffee beans, heats water, pours into coffee cup, and jumps to S104;

[0072] S111 determines whether the sound signal is espresso. If yes, execute S112; if no, jump to S113;

[0073] S112 grinds coffee beans and heats a small amount of water, pours into a coffee cup, and jumps to S104;

[0074] S113 determines whether the sound signal is mocha coffee. If yes, execute S114; if no, jump to S115;

[0075] S114 heats and foams the milk and pours it into the coffee cup, grinds the coffee beans and heats the water and pours it into the coffee cup, and jumps to S104;

[0076] S115 determines whether the sound signal is macchiato coffee. If yes, execute S116; if no, jump to S117;

[0077] S116 grinds coffee beans and heats water and pours it into the coffee cup, and jumps to S104;

[0078] S117 determines whether the sound signal is Kangbaolan coffee. If yes, execute S118; if no, jump to S119;

[0079] S118 grinds coffee beans, heats water to 60℃~70℃ and pours into coffee cup, heats milk and pours into coffee cup, and jumps to S104;

[0080] S119 determines whether the sound signal is white coffee. If yes, execute S120;

[0081] S120 grinds coffee beans, heats water, pours into coffee cup, jumps to S104; if no, jumps to S121;

[0082] S121: Coffee brewing is completed, and the program returns to step S101.

[0083] Although specific embodiments are described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are also within the scope of the present disclosure. For example, any of the functions and / or processing capabilities described in conjunction with a particular device or component may be performed by any other device or component. In addition, although various exemplary implementations and architectures have been described according to embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications to the exemplary implementations and architectures described herein are also within the scope of the present disclosure.

[0084] It will be appreciated by those skilled in the art that all or some of the steps and systems in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or transient medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0085] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above-mentioned implementation mode. Technical personnel familiar with the field can also make various equivalent deformations or substitutions without violating the spirit of the present application. These equivalent deformations or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. An automatic coffee brewing method based on AI artificial intelligence, characterized in that: The following steps are involved: S100, acquiring and identifying a sound signal, obtaining information on the types of coffee to be brewed and storing the information in chronological order as a queue of coffee to be brewed; S200, detecting coffee cup position information of one or more coffee cups placed on a conveyor belt, and obtaining a coffee cup position information queue; S300, obtaining information on the types of coffee to be brewed in the coffee queue based on the number of brewing devices, obtaining brewing data according to the information on the types of coffee to be brewed, and the brewing devices starting a coffee brewing control operation based on the brewing data; S400, based on the first coffee cup position information in the coffee cup position information queue, driving the conveyor belt to move the corresponding coffee cup to the first designated position; S500, determining whether one or more coffee cups have reached one or more designated positions, and when the coffee cups have reached the designated positions, controlling the brewing device to inject brewed coffee into the coffee cups; S600: After pouring the brewed coffee into the coffee cup, obtain the pattern information of the current coffee cup, and display the pattern information on the interactive interface.

2. The automatic coffee brewing method based on AI artificial intelligence according to claim 1, characterized in that: The step S300 includes: S310, obtaining the number M of brewing devices, and determining whether the length of the coffee queue to be brewed is greater than or equal to the number of brewing devices. If so, obtaining the first M types of brewed coffee from the coffee queue to be brewed and sequentially distributing them to the brewing devices; if not, obtaining all the types of brewed coffee from the coffee queue to be brewed and sequentially distributing them to the brewing devices.

3. The automatic coffee brewing method based on AI artificial intelligence according to claim 2 is characterized in that: The step S500 includes: S510, when the coffee cup reaches the first designated position, based on the number N of brewing devices currently assigned with brewing coffee type information, obtain the first N coffee cup position information in the coffee cup position information queue, calculate the offsets of the remaining coffee cup position information relative to the first coffee cup position information except the first coffee cup position information, traverse all the offsets, and determine whether each offset is within a preset offset range. If so, determine that the current coffee cup has reached the designated position and execute step S520; if not, obtain an adjustment value according to the offset of the current coffee cup and the preset offset range and execute step S530; S520, controlling the brewing device to inject the brewed coffee into the current coffee cup; S530. After the brewing devices corresponding to all the coffee cups that have reached the designated position inject the brewed coffee into the coffee cups, the conveyor belt is driven according to the adjustment value to perform position adjustment operations on the coffee cups that have not reached the designated position, and the corresponding brewing devices are controlled to inject the brewed coffee into the coffee cups.

4. The automatic coffee brewing method based on AI artificial intelligence according to claim 1, characterized in that: The brewing data includes: hot water temperature, amount of water added, amount of coffee added, amount of milk added and amount of sugar added.

5. The automatic coffee brewing method based on AI artificial intelligence according to claim 1, characterized in that: The step S100 includes: S110, obtaining brewed coffee type information according to the sound signal, and queueing the brewed coffee type information in chronological order to obtain a queue of coffee to be brewed; S120: Determine whether the length of the coffee cup position information queue is greater than or equal to the length of the coffee to be brewed queue; if not, issue a coffee cup placement prompt.

6. The automatic coffee brewing method based on AI artificial intelligence according to claim 1, characterized in that: The step S600 includes: S610, based on the electronic tag recognition device set next to the designated location, identify the electronic tag set on the coffee cup, obtain the current coffee cup pattern according to the electronic tag information and display it on the interactive interface; and send the current coffee cup pattern to the user's mobile device.

7. The automatic coffee brewing method based on AI artificial intelligence according to claim 1, characterized in that: The step S600 includes: S620, acquiring images of coffee cups on the conveyor belt from multiple angles based on a camera device, and associating the images with the position information of the coffee cups to obtain multiple images corresponding to the position information of each coffee cup; S630, performing median filtering on the image to obtain a preprocessed image; and calculating the complexity of the preprocessed image; S640, for the complexity corresponding to multiple images of the same coffee cup location information, use the image with the highest complexity as the marker image of the coffee cup location information; S650: After the operation of pouring the brewed coffee into the coffee cup is completed, a logo image corresponding to the current coffee cup is obtained and displayed on the interactive interface.

8. The automatic coffee brewing method based on AI artificial intelligence according to claim 7, characterized in that: The step S630 includes: S631, obtaining the absolute value of the pixel difference between each pixel and the adjacent pixel in the image, adding the absolute value of the difference between each pixel and the adjacent pixel, and using the added value as the complexity of the image; or S632, dividing the image into a number of regions, calculating the absolute value of the difference between the mean value of the pixels in each region and the mean value of the pixels in the adjacent region, adding the absolute value of the difference corresponding to each region, and using the added value as the complexity of the image.

9. The automatic coffee brewing method based on AI artificial intelligence according to claim 1, characterized in that: The method further comprises: S700, based on the time required for the brewing operation obtained from the brewing coffee type information corresponding to the brewing device, the number of coffee cups that have not reached the specified position, the time required to pour coffee into the coffee cups, and the time required to adjust the positions of the coffee cups, calculate the waiting time corresponding to each element in the current queue of coffee to be brewed, and display the waiting time and coffee cup pattern on the interactive interface.

10. An automatic coffee brewing device based on AI artificial intelligence, used to execute the method according to any one of claims 1 to 9, characterized in that: include: ARM central processor, data storage, coffee cup placement cavity, brewing device, display panel and control buttons.

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