Tea egg machine control method and system
By identifying tea bag parameters and online search, and adjusting the tea egg machine equipment operation plan, the problem that tea egg machine cannot effectively deal with a variety of tea bags is solved, and the user experience and brewing effect are improved.
Patent Information
- Application Number
- CN202510343739.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-22
- Publication Date
- 2025-07-04
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing tea egg machine cannot effectively handle a variety of tea bags, resulting in poor user experience.
By obtaining the chip parameters on the tea bag, identifying and analyzing the processing solution library, if there is no matching solution, the feasible solution will be determined through online search, and the equipment operation plan will be adjusted according to the tea bag specifications and user habits, and stored in the processing solution library.
It realizes effective treatment of a variety of tea bags, improves the use experience of tea egg machines, and optimizes the brewing plan according to user evaluation.
Smart Images

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Abstract
Description
Technical Field
[0001] This application relates to the field of drinking water equipment control technology, and particularly to a control method and system for a tea egg machine. Background Art
[0002] A tea egg machine is a drinking water equipment for making tea. It has two water outlet pipelines. One is the water outlet pipeline, that is, the tea egg machine can be directly used as a water dispenser. The other pipeline is the pipeline passing through the tea bag (tea egg) installation position. When a tea bag is placed at the corresponding position, the tea bag is soaked by water flow, and at this time, tea water can be output for use.
[0003] In the related art, soaking schemes for various types of tea bags are preset on the tea egg machine. When a tea bag is installed in the tea egg machine and needs to be soaked, the corresponding soaking scheme can be found by identifying the type of the tea bag, so as to effectively soak the tea bag.
[0004] In the above related art, the soaking schemes on the tea egg machine are fixed. However, with the passage of time, there are more and more types of tea bags. At this time, the soaking schemes on the tea egg machine may not be able to effectively soak the tea bags, resulting in a poor overall use experience of the tea egg machine, and there is still room for improvement. Summary of the Invention
[0005] In order to reduce the situation that the tea egg machine cannot effectively soak the tea bag and affect the overall use experience, this application provides a control method and system for a tea egg machine.
[0006] In the first aspect, this application provides a control method for a tea egg machine, adopting the following technical solutions:
[0007] A control method for a tea egg machine includes:
[0008] Obtain the tea bag's own parameters of the chip preset on the tea bag, where the tea bag's own parameters include the tea bag's own type and the tea bag's own specification;
[0009] Input the tea bag's own type into a preset processing scheme library for identification and analysis to determine the soaking processing scheme;
[0010] Judge whether the soaking processing scheme is empty;
[0011] If the soaking processing scheme is not empty, determine the equipment operation scheme according to the soaking processing scheme and the tea bag's own specification, and control the tea egg machine to operate according to the equipment operation scheme;
[0012] If the soaking processing scheme is empty, search on the network according to the tea bag's own type to determine a feasible processing scheme;
[0013] Determine a unique effective processing solution among the feasible processing solutions, determine the equipment operation plan according to the effective processing solution and the specifications of the tea bag itself, control the operation of the tea egg machine according to the equipment operation plan, and store the effective processing solution and the current type of the tea bag itself in the processing solution library.
[0014] Optionally, the steps of determining a unique effective processing solution among the feasible processing solutions include:
[0015] Obtain the equipment usage location of the current tea egg machine;
[0016] Delimit the equipment proximity range according to the equipment usage location and the preset permitted distance, and define the feasible processing solutions obtained within the equipment proximity range as the regional processing solutions;
[0017] Count according to the situation where the same regional processing solution is determined to determine the regional solution times;
[0018] Determine the regional solution times with the largest value according to the preset sorting rule, and define the regional processing solution corresponding to the regional solution times with the largest value as the effective processing solution.
[0019] Optionally, after the regional solution times are determined, the tea egg machine control method further includes:
[0020] Judge whether the regional solution times with the largest value are greater than the preset representative demand times;
[0021] If the regional solution times with the largest value are greater than the representative demand times, determine the effective processing solution according to the regional solution times with the largest value;
[0022] If the regional solution times with the largest value are not greater than the representative demand times, define the processing solution library of the current tea egg machine as the first solution library, and define the processing solution libraries of the other tea egg machines with the current type of the tea bag itself as the second solution library;
[0023] Perform an intersection calculation according to the first solution library and the second solution library to determine the same type of the tea bag itself, and define the type of the tea bag itself as the common tea bag type;
[0024] Compare the soaking processing solutions of each common tea bag type in the first solution library and the second solution library to output the processing similarity and difference status, and define the common tea bag type with the processing similarity and difference status and the preset processing same status as the same processing type;
[0025] Count and calculate according to the same processing type and the common tea bag type to determine the same proportion, determine the same proportion with the largest value according to the sorting rule, and determine the effective processing solution corresponding to the current type of the tea bag itself according to the second solution library corresponding to the same proportion with the largest value.
[0026] Optionally, after determining the same proportion, the tea egg machine control method further includes:
[0027] Count according to the same processing type to determine the quantity of the same type;
[0028] Count according to the tea bag's own type in the first solution library to determine the quantity of the first type, and count according to the tea bag's own type in the second solution library to determine the quantity of the second type;
[0029] Calculate based on the quantity of the same type and the quantity of the first type to determine the first same proportion, and calculate based on the quantity of the same type and the quantity of the second type to determine the second same proportion;
[0030] Calculate based on the quantity of the same type, the first same proportion, and the second same proportion to determine the stability parameter, and correct and update the same proportion based on the stability parameter.
[0031] Optionally, after controlling the tea egg machine to operate according to the device operation plan, the tea egg machine control method further includes:
[0032] Construct a response interval with a width of a preset response duration, and obtain the soaking evaluation parameter within the response interval;
[0033] Judge whether the soaking evaluation parameter is a preset appropriate evaluation parameter;
[0034] If the soaking evaluation parameter is an appropriate evaluation parameter, store the current effective treatment plan as the soaking treatment plan corresponding to the current tea bag's own type in the treatment plan library;
[0035] If the soaking evaluation parameter is not an appropriate evaluation parameter, mark the current effective treatment plan as a differential treatment plan, and do not store the current effective treatment plan in the treatment plan library, and exclude the differential treatment plan when determining the feasible treatment plan according to the current tea bag's own type subsequently.
[0036] Optionally, after determining the feasible treatment plan, the tea egg machine control method further includes:
[0037] Judge whether the current tea bag's own type has a differential treatment plan;
[0038] If the current tea bag's own type does not have a differential treatment plan, determine the only effective treatment plan according to the feasible treatment plan;
[0039] If the current tea bag has a gap handling solution for its own type, calculate the difference between the soaking evaluation parameter corresponding to the gap handling solution and the appropriate evaluation parameter to determine the deviation evaluation parameter, and determine the deviation requirement degree value corresponding to the deviation evaluation parameter according to the preset deviation matching relationship;
[0040] Analyze according to the feasible handling solution and the current gap handling solution to determine the actual deviation degree value;
[0041] Calculate according to the actual deviation degree value and the deviation requirement degree value to determine the deviation degree difference;
[0042] Modify the number of area solutions or the same ratio according to the deviation degree difference, and determine the effective handling solution according to the modified number of area solutions or the same ratio.
[0043] In a second aspect, the present application provides a tea egg machine control system, adopting the following technical solutions:
[0044] A tea egg machine control system includes:
[0045] An acquisition module, configured to acquire the tea bag own parameters of a chip preset on the tea bag, where the tea bag own parameters include the tea bag own type and the tea bag own specification;
[0046] A processing module, connected to the acquisition module and the judgment module, for storing and processing information;
[0047] A judgment module, connected to the acquisition module and the processing module, for judging information;
[0048] The processing module inputs the tea bag own type into a preset processing solution library for identification and analysis to determine the soaking processing solution;
[0049] The judgment module judges whether the soaking processing solution is empty;
[0050] If the judgment module judges that the soaking processing solution is not empty, the processing module determines the equipment operation plan according to the soaking processing solution and the tea bag own specification, and controls the tea egg machine to operate according to the equipment operation plan;
[0051] If the judgment module judges that the soaking processing solution is empty, the processing module searches on the network according to the tea bag own type to determine the feasible processing solution;
[0052] The processing module determines the only effective processing solution from the feasible processing solutions, determines the equipment operation plan according to the effective processing solution and the tea bag own specification, controls the tea egg machine to operate according to the equipment operation plan, and stores the effective processing solution and the current tea bag own type in the processing solution library.
[0053] In summary, the present application includes at least one of the following beneficial technical effects:
[0054] 1. During the use of the tea egg machine, it is possible to identify the type of tea bag, so that when a tea bag without a brewing plan is detected, the corresponding brewing plan can be searched for in the network, realizing the effective processing of various tea bags, thereby reducing the situation where the tea egg machine cannot effectively soak the tea bag and affecting the overall use experience;
[0055] 2. Analyze and determine the tea-drinking habits of the area based on the location where the tea egg machine is used, so as to process the current tea bag by learning the tea-drinking habits of the other people in the surrounding area;
[0056] 3. After the tea egg machine finishes brewing the tea bag, it can receive the user's evaluation of the brewing situation, and save the best brewing plan for various tea bags for this user according to the brewing evaluation situation, which is convenient for subsequent brewing processing of the tea bags. BRIEF DESCRIPTION OF THE DRAWINGS
[0057] Figure 1 is a flowchart of the tea egg machine control method.
[0058] Figure 2 is a module flowchart of the tea egg machine control method. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0059] In order to make the purpose, technical solutions and advantages of the present application clearer, the following is a further detailed description of the present application in conjunction with Figure 1 - Figure 2 and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0060] The following further describes the embodiments of the present application in detail with reference to the accompanying drawings of the specification.
[0061] The embodiments of the present application disclose a tea egg machine control method. Referring to Figure 1 , the method flow of the tea egg machine control method includes the following steps:
[0062] Step S100: Obtain the tea bag's own parameters of the chip preset on the tea bag, where the tea bag's own parameters include the tea bag's own type and the tea bag's own specification.
[0063] The chip on the tea bag is an RFID chip that can be read and recognized by an RFID reader, and stores the tea bag's own parameters, which include information such as the tea bag's own type and the tea bag's own specification. Among them, the tea bag's own type includes the name, variety, etc. of the tea leaves in the tea bag, and the tea bag's own specification is the weight parameter of the tea leaves.
[0064] Step S101: Input the type of the tea bag itself into a preset processing solution library for identification and analysis to determine the soaking processing solution.
[0065] The processing solution library is a database of brewing solutions for tea bags that can be directly brewed and stored on the tea egg machine. The soaking processing solution is the brewing solution matched by the type of the tea bag itself of the current tea bag in the processing solution library. When the soaking processing solution for the type of the current tea bag itself is not stored in the processing solution library, the corresponding soaking processing solution is empty.
[0066] Step S102: Determine whether the soaking processing solution is empty.
[0067] The purpose of the determination is to find out whether the current tea bag can be directly processed.
[0068] Step S1021: If the soaking processing solution is not empty, determine the equipment operation plan according to the soaking processing solution and the specifications of the tea bag itself, and control the tea egg machine to operate according to the equipment operation plan.
[0069] When the soaking processing solution is not empty, it means that the soaking processing solution for brewing the current tea bag has been stored in the current tea egg machine. At this time, the equipment operation plan of the tea egg machine can be determined according to this plan and the specifications of the current tea bag itself. At this time, the tea egg machine can be controlled according to the equipment operation plan.
[0070] Step S1022: If the soaking processing solution is empty, search on the Internet according to the type of the tea bag itself to determine a feasible processing solution.
[0071] When the soaking processing solution is empty, it means that the brewing solution for the current tea bag is not stored in the current tea egg machine, that is, the current tea bag cannot be effectively processed, so further analysis is needed; the feasible processing solution is a solution found on the Internet through web crawler technology that can effectively brew the tea bag of the type of the current tea bag itself.
[0072] Step S103: Determine the only effective processing solution from the feasible processing solutions, determine the equipment operation plan according to the effective processing solution and the specifications of the tea bag itself, control the tea egg machine to operate according to the equipment operation plan, and store the effective processing solution and the type of the current tea bag itself in the processing solution library.
[0073] The effective processing solution is one of the feasible processing solutions. This solution can be randomly selected or selected through steps S200 - S303. At this time, the equipment operation plan can be determined through the effective processing solution and the specifications of the tea bag itself, so that the tea egg machine can process the current tea bag. At the same time, the corresponding effective processing solution is stored in the processing solution library for subsequent direct brewing of this type of tea bag.
[0074] The steps for determining the only effective treatment solution among the feasible treatment solutions include:
[0075] Step S200: Obtain the device usage location of the current tea egg machine.
[0076] The device usage location is the location area where the current tea egg machine is installed, and it can be obtained by installing a positioning device on the tea egg machine.
[0077] Step S201: Delimit the device proximity range according to the device usage location and the preset permitted distance, and define the feasible treatment solutions obtained within the device proximity range as area treatment solutions.
[0078] The permitted distance is the maximum distance value allowed to appear between the current tea egg machine and the remaining devices in the same area as determined by the staff, and a device proximity range in the same area can be constructed with the device usage location as the center and the permitted distance as the radius. At this time, it can be considered that the tea-drinking habits of users within this range are similar. Therefore, the feasible treatment solutions obtained from the network within this range are defined as area treatment solutions for identification, which is convenient for subsequent analysis.
[0079] Step S202: Count according to the situation where the same area treatment solution is determined to determine the area solution times.
[0080] The area solution times is the number of times the same area treatment solution is found from the network.
[0081] Step S203: Determine the area solution times with the largest value according to the preset sorting rule, and define the area treatment solution corresponding to the area solution times with the largest value as the effective treatment solution.
[0082] The sorting rule is a method set by the staff for sorting the numerical values, such as the bubble sort method. Through the sorting rule, the area solution times with the largest value can be determined, which also means that the area treatment solution corresponding to this area solution times is the common treatment method for the tea bag in the current area. At this time, it can be determined as the effective treatment solution.
[0083] After the area solution times is determined, the tea egg machine control method further includes:
[0084] Step S300: Judge whether the area solution times with the largest value is greater than the preset representative demand times.
[0085] The representative demand times is the minimum area solution times set by the staff to represent the tea-drinking habits of each user in the current area. The purpose of the judgment is to know whether the most common tea bag treatment method obtained in the current area has representative significance.
[0086] Step S3001: If the number of times of the regional solution with the largest value is greater than the number of times representing the demand, determine an effective processing solution according to the number of times of the regional solution with the largest value.
[0087] When the number of times of the regional solution with the largest value is greater than the number of times representing the demand, it indicates that the currently determined regional processing solution can effectively represent the processing method of users in the current area for the current tea bag. At this time, it can be determined as an effective processing solution.
[0088] Step S3002: If the number of times of the regional solution with the largest value is not greater than the number of times representing the demand, define the processing solution library of the current tea egg machine as the first solution library, and define the processing solution libraries of the other tea egg machines with the same type of the current tea bag as the second solution library.
[0089] When the number of times of the regional solution with the largest value is not greater than the number of times representing the demand, it indicates that there is no representative regional processing solution. Therefore, it is impossible to determine an effective processing solution through data analysis of regional information; the other tea egg machines with the same type of the current tea bag are the tea egg machines whose processing solution libraries stored data of the same type of the current tea bag after sending data to the client through network connection. By defining the first solution library and the second solution library to distinguish different processing solution libraries, it is convenient for subsequent analysis.
[0090] Step S301: Perform an intersection calculation according to the first solution library and the second solution library to determine the same type of the tea bag itself, and define this type of the tea bag itself as the common tea bag type.
[0091] The common tea bag type is the type of the tea bag itself that is simultaneously in the first solution library and the second solution library.
[0092] Step S302: Compare the soaking processing solutions of each common tea bag type in the first solution library and the second solution library to output the processing similarity and difference status, and define the common tea bag type with the processing similarity and difference status consistent with the preset processing same status as the same processing type.
[0093] The processing similarity and difference status reflects whether the processing solutions for the same type of tea bag in the two processing solution libraries are the same. The processing same status is the processing similarity and difference status when the soaking processing solutions for the tea bags of the common tea bag type in the two processing solution libraries are consistent. When the processing similarity and difference status is consistent with the processing same status, it indicates that the processing methods for the tea bags of this common tea bag type under the two processing solution libraries are the same. At this time, it can be shown that the tea drinking habits of the two for this tea bag are the same. At this time, it is defined as the same processing type for identification, which is convenient for subsequent analysis.
[0094] Step S303: Count and calculate according to the same processing type and the common tea bag type to determine the same proportion, and determine the largest same proportion according to the sorting rule, and determine the effective processing solution corresponding to the current tea bag's own type according to the second solution library corresponding to the largest same proportion.
[0095] The same proportion is the proportion value of the same processing type in the common tea bag type, which is determined by dividing the number of the same processing types by the number of the common tea bag types; the largest same proportion can be determined through the sorting rule, which also means that the tea-drinking habits of the users of these two tea egg machines are the most similar at this time. At this time, the current tea bag can be processed according to the processing solution for the current tea bag in the second solution library.
[0096] After the same proportion is determined, the tea egg machine control method further includes:
[0097] Step S400: Count according to the same processing type to determine the number of the same types.
[0098] The number of the same types is the total number of the determined same processing types.
[0099] Step S401: Count according to the tea bag's own type in the first solution library to determine the number of the first types, and count according to the tea bag's own type in the second solution library to determine the number of the second types.
[0100] The number of the first types is the number of the tea bag's own types recorded and stored in the first solution library, and the number of the second types is the number of the tea bag's own types recorded and stored in the second solution library.
[0101] Step S402: Calculate according to the number of the same types and the number of the first types to determine the first same proportion, and calculate according to the number of the same types and the number of the second types to determine the second same proportion.
[0102] The first same proportion is the proportion value of the determined same processing types in the tea bag's own types stored in the first solution library, which is determined by dividing the number of the same types by the number of the first types. The second same proportion is the proportion value of the determined same processing types in the tea bag's own types stored in the second solution library, which is determined by dividing the number of the same types by the number of the second types.
[0103] Step S403: Calculate according to the number of the same types, the first same proportion and the second same proportion to determine the stability parameter, and correct and update the same proportion according to the stability parameter.
[0104] The stability parameter is the parameter value reflecting the stability degree of the currently determined same proportion. The larger this value is, the more stable the determined same proportion is; the calculation formula of the stability parameter is Where σ is the stability parameter, M is the number of the same type, N1 is the first same proportion, N2 is the second same proportion, and α, β, and γ are all fixed parameters used for calculation. By multiplying the same proportion by the corresponding stability parameter, the update of the same proportion can be realized, so that the subsequent determined effective processing scheme is more appropriate.
[0105] After controlling the tea egg machine according to the equipment operation plan, the tea egg machine control method further includes:
[0106] Step S500: Construct a response interval with a preset response duration, and obtain the soaking evaluation parameter within the response interval.
[0107] The response duration is the time set by the staff for the user to input the brewing evaluation situation after the tea bag has finished brewing tea. By constructing a response interval, it is convenient to obtain the soaking evaluation parameter input by the user. The setting of the soaking evaluation parameter can be a percentage system, and the user can input the evaluation score through the touch screen on the tea egg machine. The higher the score, the more satisfied the user is with the brewing plan.
[0108] Step S501: Determine whether the soaking evaluation parameter is a preset appropriate evaluation parameter.
[0109] The appropriate evaluation parameter is the soaking evaluation parameter set by the staff when it is determined that the user is satisfied with the brewing plan. The purpose of the determination is to know whether the current user is satisfied with the current brewing method of the tea bag.
[0110] Step S5011: If the soaking evaluation parameter is an appropriate evaluation parameter, store the current effective processing scheme as the soaking processing scheme corresponding to the current tea bag's own type in the processing scheme library.
[0111] When the soaking evaluation parameter is an appropriate evaluation parameter, it means that the user is satisfied with the current brewing plan. At this time, store the corresponding soaking processing scheme in the processing scheme library for subsequent processing of this type of tea bag again.
[0112] Step S5012: If the soaking evaluation parameter is not an appropriate evaluation parameter, mark the current effective processing scheme as a gap processing scheme, and do not store the current effective processing scheme in the processing scheme library, and exclude the gap processing scheme when determining the feasible processing scheme according to the current tea bag's own type in the future.
[0113] When the soaking evaluation parameter is not the appropriate evaluation parameter, it indicates that the user is not satisfied with the current brewing plan. At this time, it is marked as a gap processing plan to distinguish different effective processing plans for subsequent analysis. At this time, it is not stored in the processing plan library, so that when this type of tea bag is encountered again later, a new brewing plan can be determined, and this plan can be avoided according to the gap processing plan, and the brewing method of the tea bag suitable for the current user can be determined as much as possible through multiple brews.
[0114] After determining the feasible processing plan, the tea egg machine control method further includes:
[0115] Step S600: Determine whether the current tea bag type itself has a gap processing plan.
[0116] The purpose of the determination is to know whether the current tea bag has been brewed before.
[0117] Step S6001: If the current tea bag type itself does not have a gap processing plan, determine the only effective processing plan according to the feasible processing plan.
[0118] When the current tea bag type itself does not have a gap processing plan, it means that this is the first brewing process for this type of tea bag. At this time, normal analysis and processing can be carried out.
[0119] Step S6002: If the current tea bag type itself has a gap processing plan, calculate the difference between the soaking evaluation parameter corresponding to the gap processing plan and the appropriate evaluation parameter to determine the deviation evaluation parameter, and determine the deviation requirement degree value corresponding to the deviation evaluation parameter according to the preset deviation matching relationship.
[0120] When the current tea bag type itself has a gap processing plan, it means that the tea bag has been brewed before and the evaluation is not satisfactory. Therefore, further analysis is required. The deviation evaluation parameter is the difference between the appropriate evaluation parameter and the soaking evaluation parameter corresponding to the gap processing plan. The deviation requirement degree value is the deviation degree value reflecting the degree to which the plan needs to be modified to possibly meet the user's requirements. The larger the deviation evaluation parameter, the larger the corresponding deviation requirement degree value. The deviation matching relationship between the two is determined and stored by the staff through multiple tests in advance.
[0121] Step S601: Analyze according to the feasible processing plan and the current gap processing plan to determine the actual deviation degree value.
[0122] The actual deviation degree value is the deviation degree value between two solutions. The solutions can be divided into three major parts: steps, sorting, and content. When there are differences in steps, a deviation degree value A corresponds; when the steps are the same but the sorting is different, a deviation degree value B corresponds; when the steps and sorting are the same but the corresponding content is different (for example, one soaks for 3 minutes and the other soaks for 5 minutes), a deviation degree value C corresponds. Then, the sum of all deviation degree values is calculated to determine the actual deviation degree value.
[0123] Step S602: Calculate based on the actual deviation degree value and the required deviation degree value to determine the deviation degree difference.
[0124] The deviation degree difference is the difference between the actual deviation degree value and the required deviation degree value, and this difference is an absolute value.
[0125] Step S603: Modify the number of regional solution times or the same ratio according to the deviation degree difference, and determine the effective processing solution based on the modified number of regional solution times or the same ratio.
[0126] The smaller the deviation degree difference, the more likely the corresponding feasible processing solution is to meet the current user needs. At this time, if the number of regional solution times is used to determine the effective processing solution, then subtract the deviation degree difference from the number of regional solution times. Similarly, if the same ratio is used to determine the effective processing solution, then subtract the deviation degree difference from the same ratio, so as to accurately determine the effective processing solution, enabling the user to quickly find a tea bag brewing solution that suits their taste.
[0127] Refer to Figure 2 , based on the same inventive concept, an embodiment of the present invention provides a tea egg machine control system, including:
[0128] An acquisition module, configured to acquire the tea bag's own parameters of the chip preset on the tea bag, where the tea bag's own parameters include the tea bag's own type and the tea bag's own specification;
[0129] A processing module, connected to the acquisition module and the judgment module, for storing and processing information;
[0130] A judgment module, connected to the acquisition module and the processing module, for judging information;
[0131] The processing module inputs the tea bag's own type into a preset processing solution library for identification and analysis to determine the soaking processing solution;
[0132] The judgment module judges whether the soaking processing solution is empty;
[0133] If the judging module judges that the soaking treatment plan is not empty, the processing module determines the equipment operation plan according to the soaking treatment plan and the specifications of the tea bag itself, and controls the operation of the tea egg machine according to the equipment operation plan;
[0134] If the judging module determines that the soaking treatment plan is empty, the processing module searches the Internet according to the type of the tea bag itself to determine a feasible treatment plan;
[0135] The processing module determines the only effective processing solution among the feasible processing solutions, and determines the equipment operation solution according to the effective processing solution and the specifications of the tea bag itself, and controls the operation of the tea egg machine according to the equipment operation solution, and stores the effective processing solution and the current tea bag type in the processing solution library;
[0136] An effective treatment plan determination module determines an effective treatment plan based on the tea bag usage of other users in the area;
[0137] The area too few situation analysis module is used to analyze and process the situation where there are few common users in the same area;
[0138] The same proportion correction module is used to correct and update the same proportion;
[0139] Evaluation analysis module, storing and processing the solutions according to the user's evaluation information on the brewing situation;
[0140] The gap processing solution analysis module is used to analyze whether there is a gap processing solution.
[0141] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.
Claims
1. A method for controlling a tea egg machine, characterized in that, Including: Obtain the tea bag's own parameters of the chip preset on the tea bag, where the tea bag's own parameters include the tea bag's own type and the tea bag's own specifications; Input the tea bag's own type into the preset processing solution library for identification and analysis to determine the soaking processing solution; Judge whether the soaking processing solution is empty; If the soaking processing solution is not empty, determine the equipment operation plan according to the soaking processing solution and the tea bag's own specifications, and control the tea egg machine to operate according to the equipment operation plan; If the soaking processing solution is empty, search on the network according to the tea bag's own type to determine a feasible processing solution; Determine the only effective processing solution among the feasible processing solutions, determine the equipment operation plan according to the effective processing solution and the tea bag's own specifications, control the tea egg machine to operate according to the equipment operation plan, and store the effective processing solution and the current tea bag's own type in the processing solution library.
2. The tea egg machine control method according to claim 1, wherein The steps of determining the only effective processing solution among the feasible processing solutions include: Obtain the equipment usage location of the current tea egg machine; Delimit the equipment proximity range according to the equipment usage location and the preset permitted distance, and define the feasible processing solutions obtained within the equipment proximity range as the regional processing solutions; Count according to the situation where the same regional processing solution is determined to determine the regional solution times; Determine the regional solution times with the largest value according to the preset sorting rule, and define the regional processing solution corresponding to the regional solution times with the largest value as the effective processing solution.
3. The tea egg machine control method according to claim 2, characterized in that, After the regional solution times are determined, the tea egg machine control method further includes: Judge whether the regional solution times with the largest value are greater than the preset representative demand times; If the regional solution times with the largest value are greater than the representative demand times, determine the effective processing solution according to the regional solution times with the largest value; If the regional solution times with the largest value are not greater than the representative demand times, define the processing solution library of the current tea egg machine as the first solution library, and define the processing solution libraries of the other tea egg machines with the current tea bag's own type as the second solution library; Perform an intersection calculation according to the first solution library and the second solution library to determine the same tea bag's own type, and define the tea bag's own type as the common tea bag type; Compare the soaking processing solutions of each common tea bag type in the first solution library and the second solution library to output the processing similarity and difference status, and define the common tea bag type with the processing similarity and difference status and the preset processing same status as the same processing type; Count and calculate according to the same processing type and the common tea bag type to determine the same proportion, determine the largest value of the same proportion according to the sorting rule, and determine the effective processing solution corresponding to the current tea bag's own type according to the second solution library corresponding to the largest value of the same proportion.
4. The tea egg machine control method according to claim 3, wherein, After the same proportion is determined, the tea egg machine control method further includes: Count according to the same processing type to determine the same type quantity; Count the tea bag's own type in the first solution library to determine the first type quantity, and count the tea bag's own type in the second solution library to determine the second type quantity; Calculate based on the quantity of the same type and the quantity of the first type to determine the first same proportion, and calculate based on the quantity of the same type and the quantity of the second type to determine the second same proportion; Calculate based on the quantity of the same type, the first same proportion and the second same proportion to determine the stability parameter, and correct and update the same proportion according to the stability parameter.
5. The tea egg machine control method according to claim 3, characterized in that, After controlling the tea egg machine according to the equipment operation plan, the tea egg machine control method further includes: Construct a reply interval with a preset reply duration, and obtain the soaking evaluation parameter within the reply interval; determine whether the soaking evaluation parameter is a preset appropriate evaluation parameter; If the soaking evaluation parameter is an appropriate evaluation parameter, store the current effective treatment plan as the soaking treatment plan corresponding to the current tea bag's own type in the treatment plan library; If the soaking evaluation parameter is not an appropriate evaluation parameter, mark the current effective treatment plan as a gap treatment plan, and do not store the current effective treatment plan in the treatment plan library, and exclude the gap treatment plan when determining the feasible treatment plan according to the current tea bag's own type in the future.
6. The tea egg machine control method according to claim 5, wherein, After determining the feasible treatment plan, the tea egg machine control method further includes: Determine whether the current tea bag's own type has a gap treatment plan; If the current tea bag's own type does not have a gap treatment plan, determine the only effective treatment plan according to the feasible treatment plan; If the current tea bag's own type has a gap treatment plan, calculate the difference between the soaking evaluation parameter corresponding to the gap treatment plan and the appropriate evaluation parameter to determine the deviation evaluation parameter, and determine the deviation requirement degree value corresponding to the deviation evaluation parameter according to the preset deviation matching relationship; Analyze according to the feasible treatment plan and the current gap treatment plan to determine the actual deviation degree value; calculate according to the actual deviation degree value and the deviation requirement degree value to determine the deviation degree difference; Correct the regional plan times or the same proportion according to the deviation degree difference, and determine the effective treatment plan according to the corrected regional plan times or the same proportion.
7. A control system for a tea egg machine, characterized in that, including: An acquisition module for acquiring the tea bag's own parameters of the chip preset on the tea bag, where the tea bag's own parameters include the tea bag's own type and the tea bag's own specification; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected to the acquisition module and the processing module, for judging information; The processing module inputs the tea bag's own type into the preset treatment plan library for identification and analysis to determine the soaking treatment plan; The judgment module judges whether the soaking treatment plan is empty; If the judgment module judges that the soaking treatment plan is not empty, the processing module determines the equipment operation plan according to the soaking treatment plan and the tea bag's own specification, and controls the tea egg machine to operate according to the equipment operation plan; If the judgment module judges that the soaking treatment plan is empty, the processing module searches on the network according to the tea bag's own type to determine the feasible treatment plan; The processing module determines a unique effective processing solution among the feasible processing solutions, determines the equipment operation plan according to the effective processing solution and the specifications of the tea bag itself, controls the operation of the tea egg machine according to the equipment operation plan, and stores the effective processing solution and the current type of the tea bag itself in the processing solution library.