A control system for a multi-head tea maker

Abstract

The application discloses a control system of a multi-head tea making machine, which comprises an acquisition module, a control module, a brewing module and a reminding module. The acquisition module is used for acquiring the tea making demand of a user, determining the tea type, water quantity parameter, water temperature parameter and tea making duration parameter according to the tea making demand. The control module is used for determining whether the current hot water temperature of the tea making machine meets the user demand according to the water temperature parameter, and generating a tea making instruction if yes. The brewing module is used for selecting an idle brewing bucket according to the tea making instruction, and performing tea water brewing work in the idle brewing bucket according to the tea type, water quantity parameter, water temperature parameter and tea making duration parameter. The reminding module is used for sending a tea making completion reminding to the user after the tea making is completed. The multi-head intelligent tea making work of the tea making machine can be realized, the brewing efficiency is improved, and manual operation is not needed. The intelligent brewing is realized through a computer board, the conditions that multiple tea making works are simultaneously performed are met, the tea making demand of a large group of people is maximally met, and the practicability and the experience of the user are improved.

Description

Technical Field

[0001] This invention relates to the field of automatic control technology, and in particular to a control system for a multi-head tea brewing machine. Background Technology

[0002] Drinking tea can prevent the rise of cholesterol in the body and help prevent myocardial infarction. Tea polyphenols can also remove excess free radicals from the body and inhibit and kill pathogens. In addition, drinking tea has the effects of refreshing the mind, eliminating fatigue, and antibacterial properties. Therefore, tea drinking is becoming increasingly popular. Traditionally, when multiple people drink tea, one person usually boils water, brews tea, pours tea, and refills tea for others. Even if this scenario has certain cultural and traditional elements, it is not convenient for most people in modern life. In addition to convenience, traditional tea brewing methods cannot ensure the appropriate water temperature and brewing time for different types of tea. They also require a high level of skill from the tea brewer and are difficult to guarantee the quality and taste of the final tea. Automatic tea makers are electrical appliances that can automatically brew tea according to the characteristics of tea leaves and a set program. Currently, tea shops mostly use single-head tea makers, which are inefficient and waste labor costs, failing to meet the tea-brewing needs of large groups and reducing practicality and user experience. Summary of the Invention

[0003] To address the problems mentioned above, this invention provides a control system for a multi-head tea maker to solve the problems mentioned in the background art, such as the low brewing efficiency and wasted labor costs of single-head tea makers, which cannot meet the tea brewing needs of a large group and reduce practicality and user experience.

[0004] A control system for a multi-head tea infuser, the system comprising:

[0005] The acquisition module is used to acquire the user's tea brewing requirements and determine the tea type, water volume parameters, water temperature parameters, and tea brewing time parameters based on the tea brewing requirements.

[0006] The control module is used to determine whether the current hot water temperature of the tea maker meets the user's needs based on the water temperature parameters. If so, it generates a tea brewing instruction.

[0007] The brewing module is used to select an available brewing tank according to the tea brewing instruction and to brew tea in the available brewing tank according to the tea type, water volume parameters, water temperature parameters, and brewing time parameters.

[0008] The reminder module is used to send a reminder to the user that the tea brewing is complete after the tea is brewed.

[0009] Preferably, the acquisition module includes:

[0010] The Get submodule is used to receive user voice commands or remote device usage requests issued on the app, and parse the voice commands or remote device usage requests to obtain the user's tea-making needs.

[0011] The first determining submodule is used to determine the demand type corresponding to the tea brewing demand, and to determine the tea brewing time period parameter according to the demand type. The demand types include: pre-booked tea brewing demand and real-time tea brewing demand.

[0012] The second determination submodule is used to determine the type of tea that the user will brew, as well as the water volume, water temperature, and brewing time parameters set by the user, based on the tea brewing requirements.

[0013] Preferably, the control module includes:

[0014] The confirmation submodule is used to confirm the user's desired hot water temperature for brewing the tea type based on the water temperature parameters.

[0015] The comparison submodule is used to compare the user's desired steeping water temperature for a particular type of tea with the current water temperature of the tea maker and obtain the comparison result.

[0016] The judgment submodule is used to determine whether the current hot water temperature of the tea brewing machine meets the user's needs based on the comparison result. If the comparison result is that the expected soaking hot water temperature is greater than or equal to the current hot water temperature of the tea brewing machine, it is determined that it meets the user's needs. If the comparison result is that the expected soaking hot water temperature is less than the current hot water temperature of the tea brewing machine, it is determined that it does not meet the user's needs.

[0017] The generation submodule is used to generate brewing instructions for the type of tea if the user's requirements are met.

[0018] Preferably, after the determination submodule determines that the user's needs are not met, the system is further used to:

[0019] Determine the optimal brewing water temperature range based on the type of tea, and ensure that the current hot water temperature of the tea maker falls within the optimal brewing water temperature range.

[0020] If so, the app or smart voice system will inform the user that the current hot water temperature meets the brewing requirements for the type of tea, and will receive the user's feedback instructions.

[0021] Based on the feedback instructions, determine the user's decision and choose to continue heating or perform heat preservation.

[0022] Preferably, after determining the water volume parameters according to the tea brewing requirements, the system is further used for:

[0023] Retrieve the optimal amount of tea leaves or tea powder corresponding to the water volume parameters from the preset knowledge base, and at the same time obtain the user's required amount of tea powder;

[0024] The optimal amount of tea powder is compared with the required amount of tea powder. Based on the comparison results, it is determined whether the required amount of tea powder is exceeded. If so, an over-limit reminder is issued through the user's app or AI voice.

[0025] Based on water volume parameters, the user can issue operation instructions via app or AI voice, and receive operation parameters from user feedback.

[0026] The phased time-series water release parameters and the overall time-series water release parameters are determined based on the operating parameters.

[0027] Preferably, the brewing module includes:

[0028] The selection submodule is used to detect the current working status of each brewing tank and select the first brewing tank that is in an idle state based on the current working status.

[0029] The third determination submodule is used to determine the numerical number of the first brewing bucket and mark the empty bucket on the user's app according to the numerical number;

[0030] The brewing sub-module is used to obtain the second brewing container selected by the user, and according to the tea brewing instructions, sequentially fill the second brewing container with tea leaves or tea powder, dispense a certain amount of boiling water, and set the brewing time.

[0031] The second brewing bucket is the target brewing bucket selected by the user from multiple first brewing buckets that are in an idle state.

[0032] Preferably, the system is also used for:

[0033] Collect images of the tea liquor during the tea brewing process, obtain the color of the tea liquor based on the images, and determine whether the tea brewing is qualified based on the color of the tea liquor;

[0034] If the tea is determined to be brewed to be up to standard, the current brewing time is checked to confirm whether it is within the brewing time range set by the user. If so, an early brewing time reminder is issued via the user's app or AI voice prompts to allow the user to make a decision about picking up the tea. If not, no further action is required.

[0035] If the tea brewing is determined to be substandard, check whether the current brewing time is within the brewing time range set by the user. If so, no further action is required. If not, issue a tea brewing failure reminder via the user's app or AI voice.

[0036] Based on the color and changes in the tea, the brewing time is predicted, and a delay reminder is issued via the user's app or AI voice.

[0037] Preferably, the system further includes:

[0038] The first generation module is used to record the tea preparation parameters, process parameters and result parameters for different types of tea and generate the initial tea brewing plan for that type of tea.

[0039] The optimization and adjustment module is used to optimize and adjust the initial brewing scheme for different types of tea based on subsequent brewing parameters to generate the final brewing scheme.

[0040] The second generation module is used to generate intelligent tea brewing recommendation packages for different types of tea based on the final tea brewing plan for each type of tea.

[0041] The display module is used to upload intelligent tea brewing recommendation packages for different types of tea to the user's app or to display them intelligently through human-computer interaction functions.

[0042] Preferably, the reminder module includes:

[0043] The fourth sub-module is used to obtain the finished product status parameters of each type of tea through big data technology, and to determine the reference conditions for completing the brewing of each type of tea based on the finished product status parameters.

[0044] The detection submodule is used to determine reference indicators based on the brewing completion reference conditions for each type of tea, and to detect the real-time value of the reference indicators.

[0045] The reminder submodule is used to determine whether tea brewing is complete based on real-time indicator values. If so, it sends a reminder via the user's app or AI voice to indicate that tea brewing is complete.

[0046] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0047] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0048] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0049] Figure 1 A schematic diagram of the control system of a multi-head tea maker provided by the present invention;

[0050] Figure 2 This is a schematic diagram of the acquisition module in the control system of a multi-head tea maker provided by the present invention.

[0051] Figure 3This is a schematic diagram of the control module in the control system of a multi-head tea maker provided by the present invention;

[0052] Figure 4 This is a schematic diagram of the brewing module in the control system of a multi-head tea maker provided by the present invention.

[0053] Figure 5 This is a front view of a multi-head tea maker according to the present invention;

[0054] Figure 6 This is a screenshot of the interface of a multi-head tea maker's tea brewing station provided by the present invention;

[0055] Figure 7 This is another screenshot of the interface of a multi-head tea maker's tea brewing station provided by the present invention;

[0056] Figure 8 This is another screenshot of the interface of a multi-head tea maker's tea brewing table provided by the present invention;

[0057] Figure 9 This is another screenshot of the interface of a multi-head tea maker provided by the present invention. Detailed Implementation

[0058] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of systems and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0059] Besides its unique aroma, tea offers numerous health benefits. Drinking tea can prevent the rise of cholesterol in the body, help prevent myocardial infarction, and its polyphenols can eliminate excess free radicals and inhibit and kill pathogens. Furthermore, tea can refresh the mind, relieve fatigue, and has antibacterial effects, making it increasingly popular. Traditionally, when multiple people drink tea, one person is often responsible for boiling water, brewing tea, pouring it, and refilling tea for others. While this may have some cultural and traditional elements, it's inconvenient for most people in modern life. Beyond convenience, traditional brewing methods struggle to ensure the correct water temperature and brewing time for different tea varieties, requiring skilled brewers and making it difficult to guarantee the final tea quality and taste. Automatic tea makers are appliances that automatically brew tea according to the characteristics of the tea leaves and a pre-set program. Currently, tea shops mostly use single-head tea makers, which are inefficient, waste labor, and cannot meet the needs of large groups, reducing practicality and user experience. To address the aforementioned issues, this embodiment discloses a control system suitable for multi-head tea brewing machines.

[0060] A control system for a multi-head tea maker, such as Figure 1 As shown, the system includes:

[0061] The acquisition module 101 is used to acquire the user's tea brewing requirements and determine the tea type, water volume parameters, water temperature parameters, and tea brewing time parameters based on the tea brewing requirements.

[0062] Control module 102 is used to determine whether the current hot water temperature of the tea maker meets the user's needs based on the water temperature parameters. If so, it generates a tea brewing instruction.

[0063] The brewing module 103 is used to select an available brewing tank according to the tea brewing instruction and to brew tea in the available brewing tank according to the tea type, water volume parameters, water temperature parameters and brewing time parameters.

[0064] The reminder module 104 is used to send a reminder to the user that the tea brewing is complete after the tea brewing is finished.

[0065] The working principle of the above technical solution is as follows: First, the acquisition module acquires the user's tea brewing needs and determines the tea type, water volume, water temperature, and brewing time based on these needs. Second, the control module determines whether the current hot water temperature of the tea maker meets the user's needs based on the water temperature parameter; if so, a tea brewing instruction is generated. Then, the brewing module selects an available brewing container based on the tea brewing instruction and, according to the tea type, water volume, water temperature, and brewing time parameters, controls the brewing process in the available brewing container via a computer board. Finally, the reminder module sends a reminder to the user that the tea brewing is complete after brewing is finished.

[0066] The beneficial effects of the above technical solution are as follows: By remotely acquiring the user's tea brewing needs and then selecting an available brewing tank for intelligent tea brewing, the tea machine can achieve multi-head intelligent tea brewing, which improves brewing efficiency and eliminates the need for manual operation. Intelligent brewing is achieved through a computer board, which improves practicality and meets the condition of multiple tea brewing tasks being carried out simultaneously, maximizing the satisfaction of the tea brewing needs of a large group, improving practicality and user experience, and solving the problems mentioned in the existing single-head tea machine that are inefficient and wasteful of labor costs, unable to meet the tea brewing needs of a large group, and reduce practicality and user experience.

[0067] In one embodiment, such as Figure 2 As shown, the acquisition module 101 includes:

[0068] The acquisition submodule 1011 is used to receive the user's voice commands or remote device usage requests issued on the app, and parse the voice commands or remote device usage requests to obtain the user's tea-making needs.

[0069] The first determining submodule 1012 is used to determine the demand type corresponding to the tea brewing demand, and to determine the tea brewing time period parameter according to the demand type. The demand type includes: scheduled tea brewing demand and real-time tea brewing demand.

[0070] The second determining submodule 1013 is used to determine the type of tea that the user will brew, the water volume parameters, water temperature parameters, and brewing time parameters set by the user, based on the tea brewing requirements.

[0071] The beneficial effects of the above technical solution are as follows: by acquiring and parsing the user's instructions, determining the user's tea brewing needs, and identifying the corresponding need type, the user can obtain the type of tea to be brewed and the multiple tea brewing parameters set, which can help provide more accurate and personalized services and improve user satisfaction.

[0072] In one embodiment, such as Figure 3 As shown, the control module 102 includes:

[0073] Confirmation submodule 1021 is used to confirm the user's desired hot water temperature for brewing the tea type based on the water temperature parameters.

[0074] The comparison submodule 1022 is used to compare the user's expected hot water temperature for brewing tea with the current hot water temperature of the tea brewing machine and obtain the comparison result.

[0075] The judgment submodule 1023 is used to determine whether the current hot water temperature of the tea brewing machine meets the user's needs based on the comparison result. If the comparison result is that the expected soaking hot water temperature is greater than or equal to the current hot water temperature of the tea brewing machine, it is determined that it meets the user's needs. If the comparison result is that the expected soaking hot water temperature is less than the current hot water temperature of the tea brewing machine, it is determined that it does not meet the user's needs.

[0076] The generation submodule 1024 is used to generate tea brewing instructions for the tea type if the user's requirements are met.

[0077] The beneficial effects of the above technical solution are as follows: by comparing the user's expected hot water temperature for the type of tea with the current hot water temperature of the tea brewing machine, the system determines whether the current hot water temperature meets the steeping conditions of the tea based on the comparison results, thereby generating a tea brewing instruction. This allows for a clearer understanding of the optimal brewing temperature for the tea, avoiding the use of excessively hot or cold water, thus making the tea soup more delicious. At the same time, the user can determine the expected temperature of the tea soup before starting to brew the tea, thus reducing waste from overheating.

[0078] In one embodiment, after the determination submodule determines that the user's needs are not met, the system is further configured to:

[0079] Determine the optimal brewing water temperature range based on the type of tea, and ensure that the current hot water temperature of the tea maker falls within the optimal brewing water temperature range.

[0080] If so, the app or smart voice system will inform the user that the current hot water temperature meets the brewing requirements for the type of tea, and will receive the user's feedback instructions.

[0081] Based on the feedback instructions, determine the user's decision and choose to continue heating or perform heat preservation.

[0082] The beneficial effects of the above technical solution are as follows: the optimal brewing water temperature range is determined by the type of tea, and it is determined whether the current hot water temperature is within the optimal brewing water temperature range. If so, the system issues a brewing requirement that the water temperature meets the requirements and receives user feedback instructions. This allows the system to obtain user instructions in a timely manner and make corresponding decisions, ensuring the stable operation of the tea brewing process, avoiding human intervention, and improving tea brewing efficiency.

[0083] In one embodiment, after determining the water volume parameters according to the tea brewing requirements, the system is further configured to:

[0084] Retrieve the optimal amount of tea leaves or tea powder corresponding to the water volume parameters from the preset knowledge base, and at the same time obtain the user's required amount of tea powder;

[0085] The optimal amount of tea powder is compared with the required amount of tea powder. Based on the comparison results, it is determined whether the required amount of tea powder is exceeded. If so, an over-limit reminder is issued through the user's app or AI voice.

[0086] Based on water volume parameters, the user can issue operation instructions via app or AI voice, and receive operation parameters from user feedback.

[0087] The phased time-series water release parameters and the overall time-series water release parameters are determined based on the operating parameters.

[0088] In this embodiment, the operational requirements are expressed as the operational requirements for adding water when brewing tea, such as: adding enough water at once or adding enough water in batches;

[0089] The beneficial effects of the above technical solution are as follows: it obtains the optimal amount of tea corresponding to the water volume parameters, compares it with the user's required amount of tea, determines whether the required amount exceeds the standard and issues an over-standard reminder, thereby achieving precise control over the amount of tea used. Furthermore, it issues operational instructions based on the water volume parameters and determines the water dispensing parameters, which can reduce unnecessary water waste and improve water use efficiency while meeting the water requirements for brewing tea. At the same time, by setting the water dispensing parameters according to the differences in tea brewing needs, it can avoid long-term high-cost operation, thereby saving electricity and other energy consumption.

[0090] In one embodiment, such as Figure 3 As shown, the brewing module 103 includes:

[0091] Select submodule 1031 is used to detect the current working status of each brewing tank and select the first brewing tank that is in an idle state based on the current working status.

[0092] The third determining submodule 1032 is used to determine the numerical number of the first brewing bucket and mark the empty bucket on the user's app according to the numerical number;

[0093] The brewing submodule 1033 is used to obtain the second brewing container selected by the user, and according to the tea brewing instructions, sequentially fill the second brewing container with tea leaves or tea powder, dispense a certain amount of boiling water and set the brewing time.

[0094] The second brewing bucket is the target brewing bucket selected by the user from multiple first brewing buckets that are in an idle state.

[0095] The beneficial effects of the above technical solution are as follows: it can obtain the current working status of each brewing barrel, select multiple first brewing barrels that are in an idle state, select a second brewing barrel from the multiple idle first brewing barrels, and perform tea brewing operation according to the tea brewing instruction. It can promptly discover idle barrels and assign them to new brewing requests, thereby reducing waiting time. At the same time, it can ensure that as many brewing barrels as possible are working by monitoring the working status of each brewing barrel in real time, thereby reducing waste.

[0096] In one embodiment, the system is further configured to:

[0097] Collect images of the tea liquor during the tea brewing process, obtain the color of the tea liquor based on the images, and determine whether the tea brewing is qualified based on the color of the tea liquor;

[0098] If the tea is determined to be brewed to be up to standard, the current brewing time is checked to confirm whether it is within the brewing time range set by the user. If so, an early brewing time reminder is issued via the user's app or AI voice prompts to allow the user to make a decision about picking up the tea. If not, no further action is required.

[0099] If the tea brewing is determined to be substandard, check whether the current brewing time is within the brewing time range set by the user. If so, no further action is required. If not, issue a tea brewing failure reminder via the user's app or AI voice.

[0100] Based on the color and changes in the tea, the brewing time is predicted, and a delay reminder is issued via the user's app or AI voice.

[0101] The beneficial effects of the above technical solution are as follows: the color of the tea is obtained from the tea soup image, and the tea color is used to determine whether the tea is brewed to the required standard. At the same time, the brewing time is detected, and a reminder is issued if the tea is brewed early or not, and it is determined whether the time needs to be extended. This allows customers to be notified in time when the tea is brewed early, ensuring the freshness and taste of the tea. In addition, a reminder is issued in time when the tea is brewed to the required standard, avoiding the tea from being soaked in cold water for a long time and wasting the tea.

[0102] In one embodiment, the system further includes:

[0103] The first generation module is used to record the tea preparation parameters, process parameters and result parameters for different types of tea and generate the initial tea brewing plan for that type of tea.

[0104] The optimization and adjustment module is used to optimize and adjust the initial brewing scheme for different types of tea based on subsequent brewing parameters to generate the final brewing scheme.

[0105] The second generation module is used to generate intelligent tea brewing recommendation packages for different types of tea based on the final tea brewing plan for each type of tea.

[0106] The display module is used to upload intelligent tea brewing recommendation packages for different types of tea to the user's app or to display them intelligently through human-computer interaction functions.

[0107] The beneficial effects of the above technical solution are as follows: it determines the initial brewing plan for each type of tea, optimizes and adjusts the initial brewing plan based on subsequent brewing parameters to generate the final brewing plan, and generates a smart brewing recommendation package for that type of tea for intelligent display. This allows users to easily obtain a brewing plan that suits their tea taste without having to spend time studying the brewing process. At the same time, the smart brewing recommendation plan can avoid over-brewing of tea, reduce waste, and improve resource utilization.

[0108] In one embodiment, the reminder module includes:

[0109] The fourth sub-module is used to obtain the finished product status parameters of each type of tea through big data technology, and to determine the reference conditions for completing the brewing of each type of tea based on the finished product status parameters.

[0110] The detection submodule is used to determine reference indicators based on the brewing completion reference conditions for each type of tea, and to detect the real-time value of the reference indicators.

[0111] The reminder submodule is used to determine whether tea brewing is complete based on real-time indicator values. If so, it sends a reminder via the user's app or AI voice to indicate that tea brewing is complete.

[0112] The beneficial effects of the above technical solution are as follows: Based on the finished product state parameters of each type of tea, the reference conditions for completing the tea brewing process are determined. Based on the reference conditions, reference indicators are determined, and the real-time indicator values ​​corresponding to the reference indicators are detected. The system then determines whether the tea brewing process is complete and issues a reminder. This can help users better manage their time, ensure that the tea brewing process is completed at the correct time, and improve user convenience and efficiency. In addition, it can also help users better understand the taste and quality of tea and allow them to enjoy the pleasure of tea tasting more.

[0113] In this embodiment, the fourth determining submodule obtains the finished product status parameters for each type of tea using big data technology, and determines the brewing completion reference conditions for each type of tea based on the finished product status parameters, including:

[0114] By using big data technology, we can obtain finished product images of each type of tea and determine the tea-water state parameters and tea-leaf state parameters of each type of tea based on the finished product images.

[0115] Visual color features are determined based on the state parameters of the tea liquid, and visual shape features are determined based on the state parameters of the tea leaves.

[0116] Determine the spectral data of visual color features under multiple reference light conditions, and set the reference color mapping index of the finished tea based on the spectral data;

[0117] The volume change parameters of tea leaves before and after steeping for each type of tea were determined based on visual shape characteristics.

[0118] Based on the volume change parameter, determine the reference reduction ratio mapping index for different sizes of finished tea leaves;

[0119] The reference color mapping index and reference reduction ratio mapping index of the finished tea are used to set the reference conditions for brewing results for each type of tea.

[0120] Obtain information on the brewing process of each type of tea, and extract multiple abrupt changes in the color of the tea based on the brewing process information;

[0121] Determine the reference vector index of tea at each mutation time point, and set the reference condition parameters for the brewing process of each type of tea based on the reference vector index;

[0122] The reference conditions for completing the brewing process for each type of tea are determined by defining the reference parameters for the brewing results and the reference parameters for the brewing process.

[0123] The beneficial effects of the above technical solution are as follows: by determining the micro-changes in the color of the tea and the volume of the tea leaves during the brewing process of each type of tea, the criteria for judging the brewing process and results of each type of tea can be determined intuitively based on the physical change characteristics of the tea, thus ensuring the accuracy and efficiency of the judgment results.

[0124] In one embodiment, this embodiment discloses a multi-head tea brewing machine, specifically covering:

[0125] Hardware design:

[0126] The modern hardware design ensures the stability and durability of the multi-head tea maker.

[0127] Equipped with a high-performance microcontroller or single-chip microcomputer, it provides the foundation for intelligentization.

[0128] It is equipped with a variety of sensors, such as temperature sensors and pressure sensors, to monitor the tea's condition in real time.

[0129] Software development:

[0130] Write intelligent control programs suitable for microcontrollers or single-chip microcomputers to realize the learning and memory functions of each head of the tea machine.

[0131] Develop a data analysis system that can automatically record and track the tea brewing process of each teapot, such as the amount of tea used, water temperature, and brewing time.

[0132] The user interface is designed to make it easy for users to view and adjust the operating parameters of the tea machine.

[0133] Human-computer interaction:

[0134] Equipped with human-computer interaction methods such as touch screens or voice assistants, allowing users to easily control the tea machine.

[0135] The design incorporates a one-click operation mode, allowing users to complete the tea brewing process in a short time.

[0136] Set up shortcut keys or operation logic to improve user work efficiency.

[0137] Cloud services and big data:

[0138] By leveraging cloud computing technology, a cloud service platform can be built to achieve interconnection and interoperability between devices and services.

[0139] We analyze users' tea-brewing behavior and tea machine operating data to provide personalized suggestions and services.

[0140] By leveraging big data technology, we can predict user needs and habits, and provide users with more precise services.

[0141] Data visualization:

[0142] The operating data and user data of the tea machine are organized and visualized, so that users can intuitively understand the operating status of the tea machine.

[0143] By combining charts and reports, we help users analyze and mine data to discover potential problems.

[0144] A front view of a multi-head tea maker is shown below. Figure 5 As shown, its tea-making table interface is as follows: Figure 6-9 As shown.

[0145] Those skilled in the art should understand that the "first" and "second" in this invention simply refer to different application stages.

[0146] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0147] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A control system for a multi-head tea infuser, characterized in that, The system includes: The acquisition module is used to acquire the user's tea brewing requirements and determine the tea type, water volume parameters, water temperature parameters, and tea brewing time parameters based on the tea brewing requirements. The control module is used to determine whether the current hot water temperature of the tea maker meets the user's needs based on the water temperature parameters. If so, it generates a tea brewing instruction. The brewing module is used to select an available brewing tank according to the tea brewing instruction and to brew tea in the available brewing tank according to the tea type, water volume parameters, water temperature parameters, and brewing time parameters. The reminder module is used to send a reminder to the user that the tea brewing is complete after the tea is brewed. The system is also used for: Collect images of the tea liquor during the tea brewing process, obtain the color of the tea liquor based on the images, and determine whether the tea brewing is qualified based on the color of the tea liquor; If the tea is determined to be brewed to be up to standard, the current brewing time is checked to confirm whether it is within the brewing time range set by the user. If so, an early brewing time reminder is issued via the user's app or AI voice prompts to allow the user to make a decision about picking up the tea. If not, no further action is required. If the tea brewing is determined to be substandard, check whether the current brewing time is within the brewing time range set by the user. If so, no further action is required. If not, issue a tea brewing failure reminder via the user's app or AI voice. Based on the color and changes in the tea, the brewing time is predicted, and a delay reminder is issued via the user's app or AI voice.

2. The control system of the multi-head tea brewing machine according to claim 1, characterized in that, The acquisition module includes: The Get submodule is used to receive user voice commands or remote device usage requests issued on the app, and parse the voice commands or remote device usage requests to obtain the user's tea-making needs. The first determining submodule is used to determine the demand type corresponding to the tea brewing demand, and to determine the tea brewing time period parameter according to the demand type. The demand types include: pre-booked tea brewing demand and real-time tea brewing demand. The second determination submodule is used to determine the type of tea that the user will brew, as well as the water volume, water temperature, and brewing time parameters set by the user, based on the tea brewing requirements.

3. The control system of the multi-head tea brewing machine according to claim 1, characterized in that, The control module includes: The confirmation submodule is used to confirm the user's desired hot water temperature for brewing the tea type based on the water temperature parameters. The comparison submodule is used to compare the user's desired steeping water temperature for a particular type of tea with the current water temperature of the tea maker and obtain the comparison result. The judgment submodule is used to determine whether the current hot water temperature of the tea brewing machine meets the user's needs based on the comparison result. If the comparison result is that the expected soaking hot water temperature is greater than or equal to the current hot water temperature of the tea brewing machine, it is determined that it meets the user's needs. If the comparison result is that the expected soaking hot water temperature is less than the current hot water temperature of the tea brewing machine, it is determined that it does not meet the user's needs. The generation submodule is used to generate brewing instructions for the type of tea if the user's requirements are met.

4. The control system of the multi-head tea brewing machine according to claim 3, characterized in that, After the submodule determines that the user's requirements are not met, the system is further used for: Determine the optimal brewing water temperature range based on the type of tea, and ensure that the current hot water temperature of the tea maker falls within the optimal brewing water temperature range. If so, the app or smart voice system will inform the user that the current hot water temperature meets the brewing requirements for the type of tea, and will receive the user's feedback instructions. Based on the feedback instructions, determine the user's decision and choose to continue heating or perform heat preservation.

5. The control system of the multi-head tea brewing machine according to claim 1, characterized in that, After determining the water volume parameters based on tea brewing needs, the system is also used for: Retrieve the optimal amount of tea leaves or tea powder corresponding to the water volume parameters from the preset knowledge base, and at the same time obtain the user's required amount of tea powder; The optimal amount of tea powder is compared with the required amount of tea powder. Based on the comparison results, it is determined whether the required amount of tea powder is exceeded. If so, an over-limit reminder is issued through the user's app or AI voice. Based on water volume parameters, the user can issue operation instructions via app or AI voice, and receive operation parameters from user feedback. The phased time-series water release parameters and the overall time-series water release parameters are determined based on the operating parameters.

6. The control system of the multi-head tea brewing machine according to claim 1, characterized in that, The brewing module includes: The selection submodule is used to detect the current working status of each brewing tank and select the first brewing tank that is in an idle state based on the current working status. The third determination submodule is used to determine the numerical number of the first brewing bucket and mark the empty bucket on the user's app according to the numerical number; The brewing sub-module is used to obtain the second brewing container selected by the user, and according to the tea brewing instructions, sequentially fill the second brewing container with tea leaves or tea powder, dispense a certain amount of boiling water, and set the brewing time. The second brewing bucket is the target brewing bucket selected by the user from multiple first brewing buckets that are in an idle state.

7. The control system of the multi-head tea brewing machine according to claim 1, characterized in that, The system also includes: The first generation module is used to record the tea preparation parameters, process parameters and result parameters for different types of tea and generate the initial tea brewing plan for that type of tea. The optimization and adjustment module is used to optimize and adjust the initial brewing scheme for different types of tea based on subsequent brewing parameters to generate the final brewing scheme. The second generation module is used to generate intelligent tea brewing recommendation packages for different types of tea based on the final tea brewing plan for each type of tea. The display module is used to upload intelligent tea brewing recommendation packages for different types of tea to the user's app or to display them intelligently through human-computer interaction functions.

8. The control system of the multi-head tea brewing machine according to claim 1, characterized in that, The reminder module includes: The fourth sub-module is used to obtain the finished product status parameters of each type of tea through big data technology, and to determine the reference conditions for completing the brewing of each type of tea based on the finished product status parameters. The detection submodule is used to determine reference indicators based on the brewing completion reference conditions for each type of tea, and to detect the real-time value of the reference indicators. The reminder submodule is used to determine whether tea brewing is complete based on real-time indicator values. If so, it sends a reminder via the user's app or AI voice to indicate that tea brewing is complete.

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