Moxibustion equipment control method and device based on big data

Abstract

The present invention relates to the field of data processing technology, and in particular to a moxibustion equipment control method and device based on big data. The method includes the steps of: determining the user's preference for each moxibustion project, wherein the preference is used to characterize the possibility of the user selecting the moxibustion project; obtaining the user's preference for using the moxibustion project to process each moxibustion site by multiplying the frequency of use of each moxibustion site and the preference of the moxibustion project; sorting the moxibustion sites corresponding to each moxibustion project based on the preference, and pushing the moxibustion project and the corresponding moxibustion site to the user according to the sorting result of the preference; presetting the length of the historical time period, and determining the user's heart rate reactivity at each time point during use; calculating the temperature at the time point; adjusting the preset initial temperature of the moxibustion device by the temperature at the time point to achieve the control of the moxibustion device, so that the accuracy of controlling the moxibustion device based on big data can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a moxibustion equipment control method and device based on big data. Background Art

[0002] Temperature control is a crucial link in the implementation of moxibustion therapy. Traditional moxibustion methods often rely on the experience and manual adjustment of the moxibustion practitioners, which makes it difficult to ensure that the temperature can be maintained at the optimal state throughout the treatment process. Modern technology provides a new solution for the temperature control link of moxibustion therapy. The moxibustion control device can monitor and adjust the temperature of the moxibustion head in real time, thereby achieving the best user experience and treatment effect.

[0003] The existing patent application document with publication number CN116585177A discloses a moxibustion device control method, device, equipment and medium based on data mining. The application includes: obtaining the moxibustion detection temperature sent by the moxibustion device; obtaining at least two moxibustion temperature influencing parameters, the current user values ​​of at least two moxibustion temperature influencing parameters and the reference temperature corresponding to the current user values ​​of at least two moxibustion temperature influencing parameters; calculating the entropy value and weight value of at least two moxibustion temperature influencing parameters; performing weighted calculation on the reference temperature according to the weight value to obtain the moxibustion target temperature; and sending a control instruction to adjust or maintain the position of the moxibustion device according to the moxibustion target temperature and the moxibustion detection temperature.

[0004] Although the above-mentioned existing technical solutions can achieve temperature control to a certain extent, different users have different personalized differences in heat resistance and other aspects in real life, which makes it difficult for the preset parameters and calculation models of the above-mentioned existing technical solutions to accurately match the needs of each user, affecting the user experience and even potentially posing a safety hazard.

[0005] Based on this, how to accurately achieve temperature control of moxibustion equipment based on user needs is a technical problem that needs to be urgently solved by technical personnel in this field. Summary of the invention

[0006] In order to solve the technical problem of how to accurately achieve temperature control of moxibustion equipment based on user needs, the present invention provides a moxibustion equipment control method and device based on big data.

[0007] In the first aspect, the present invention provides a moxibustion equipment control method based on big data, which adopts the following technical solution:

[0008] The moxibustion equipment control method based on big data includes the following steps:

[0009] Determine the user's preference for each moxibustion project by the user's frequency of use of the moxibustion project and the proportion of project time, wherein the preference is used to characterize the possibility of the user selecting the moxibustion project; obtain the frequency of use of each moxibustion site in the moxibustion project, and obtain the user's preference for using the moxibustion project to treat each moxibustion site by multiplying the frequency of use of each moxibustion site by the preference of the moxibustion project; sort the moxibustion sites corresponding to each moxibustion project based on the preference, and push the moxibustion project and the corresponding moxibustion site to the user according to the sorting result of the preference; preset the length of the historical time period, obtain the difference between the user's heart rate at each time point and the heart rate mean of the historical time period at the time point during use, and determine the user's heart rate reactivity at the time point, and the heart rate reactivity is positively correlated with the absolute value of the difference;

[0010] Calculate the temperature at that time: ;

[0011] In the formula, Indicates The temperature at a point in time, Indicates that the user is Heart rate reactivity at each time point, Indicates The preset initial temperature at a time point, represents an exponential function with e as the base; the preset initial temperature of the moxibustion device is adjusted by the temperature at the time point to achieve control of the moxibustion device.

[0012] The present invention takes into account the different preferences of individuals. Therefore, by obtaining the user's preference for each moxibustion item and the corresponding moxibustion part and pushing information to the user, the accuracy of controlling the moxibustion equipment to push information can be effectively improved; on this basis, the present invention also takes into account that the individual user's reaction to heat may vary due to factors such as physical constitution. Therefore, by obtaining the user's heart rate changes during the moxibustion process, the moxibustion temperature is automatically adjusted for the user based on the heart rate changes, which can effectively improve the accuracy of moxibustion equipment control.

[0013] According to the big data-based moxibustion equipment control method provided by the present invention, the user's preference for each moxibustion item is determined by the user's usage frequency of the moxibustion item and the item time proportion, which also includes: obtaining user registration and login information, and recording the user's corresponding usage information, the usage information including the number of times the user uses each moxibustion item, the total number of times all moxibustion items are used, the usage duration of each moxibustion item, the total usage duration of all moxibustion items, and the number of times each moxibustion part is treated in the moxibustion item; the usage frequency of the moxibustion item is obtained by the ratio of the number of times the user uses the moxibustion item and the total number of times all moxibustion items are used; the item time proportion of the moxibustion item is obtained by the ratio of the sum of the usage duration of each moxibustion item by the user to the total usage duration of all moxibustion items.

[0014] The present invention takes into account the number of times and duration of users' use of moxibustion items to evaluate the users' preference for the moxibustion items. Therefore, by characterizing the users' preference by the ratio of use duration to total duration and the ratio of use times to total times, the accuracy of the users' preference for using moxibustion items to treat various moxibustion sites can be effectively improved.

[0015] According to the big data-based moxibustion equipment control method provided by the present invention, the moxibustion items and corresponding moxibustion parts are pushed to the user according to the sorting results of the preference degree, including: a preset push number, and a preset push number of moxibustion items and corresponding moxibustion parts are pushed to the user according to the sorting results of the preference degree.

[0016] The present invention pushes moxibustion projects and corresponding moxibustion parts to users according to the preference ranking, which can effectively increase the possibility of users using moxibustion equipment.

[0017] According to the big data-based moxibustion equipment control method provided by the present invention, the moxibustion items and the corresponding moxibustion parts are pushed to the user according to the sorting results of the preference degree, and also includes: presetting a preference degree threshold, and pushing the moxibustion items and the corresponding moxibustion parts that are greater than the preference degree threshold to the user in sequence according to the sorting results.

[0018] The present invention can provide users with a variety of selectable moxibustion items and corresponding moxibustion parts by presetting preference degree thresholds, thereby effectively increasing the possibility of users using moxibustion equipment.

[0019] According to the moxibustion equipment control method based on big data provided by the present invention, the heart rate responsiveness of the user at the time point satisfies the relationship:

[0020] ;

[0021] In the formula, Indicates that the user is Heart rate reactivity at each time point, Indicates that the user is Heart rate at a time point, Indicates the number of time points included in the historical time period. Indicates the historical period Heart rate at a time point, Represents the absolute value symbol.

[0022] The present invention provides an accurate method for calculating the heart rate responsiveness of a user at each time point. By obtaining the deviation of the user's heart rate at the current time point and the mean heart rate of the historical time period, the user's heart rate responsiveness to moxibustion treatment at the current time point can be accurately obtained.

[0023] According to the big data-based moxibustion equipment control method provided by the present invention, the preset initial temperature of the moxibustion equipment is adjusted by the temperature at the time point to realize the control of the moxibustion equipment, including: presetting the gear of the moxibustion equipment and the corresponding temperature range; determining the temperature range corresponding to the temperature at the time point, and adjusting the preset initial temperature of the moxibustion equipment to the gear corresponding to the temperature range at the time point.

[0024] In a second aspect, the present invention provides a moxibustion equipment control device based on big data, which adopts the following technical solution:

[0025] The first processing unit is used to determine the user's preference for each moxibustion project according to the user's usage frequency of the moxibustion project and the project time ratio, wherein the preference degree is used to characterize the possibility of the user selecting the moxibustion project; obtain the usage frequency of each moxibustion site in the moxibustion project, and obtain the user's preference for using the moxibustion project to treat each moxibustion site by multiplying the usage frequency of each moxibustion site by the preference degree of the moxibustion project;

[0026] A push unit, used to sort the moxibustion parts corresponding to each moxibustion project from large to small based on the preference degree, and push the moxibustion project and the corresponding moxibustion part to the user according to the sorting result of the preference degree;

[0027] The second processing unit is used to preset the length of the historical time period, obtain the difference between the user's heart rate at each time point and the heart rate average of the historical time period at the time point during use, determine the user's heart rate reactivity at the time point, and the heart rate reactivity is positively correlated with the absolute value of the difference; calculate the temperature at the time point;

[0028] The control unit is used to adjust the preset initial temperature of the moxibustion device according to the temperature at the time point to achieve control of the moxibustion device.

[0029] In addition, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the big data-based moxibustion equipment control method as described above is implemented.

[0030] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described moxibustion equipment control methods based on big data.

[0031] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned moxibustion equipment control methods based on big data.

[0032] The present invention has the following technical effects:

[0033] Based on the above technical scheme, the present invention pushes information to users by acquiring the user's preference for each moxibustion item and the corresponding moxibustion part, comprehensively considering the preferences of different individual users, and can effectively improve the accuracy of controlling the push information of the moxibustion equipment; on this basis, the present invention also acquires the user's heart rate changes during the moxibustion process, and automatically adjusts the moxibustion temperature for the user based on the heart rate changes, effectively reducing the safety hazards caused by the different reactions of individual users to heat, thereby effectively improving the accuracy of the control of the moxibustion equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-restrictive manner, and the same or corresponding reference numerals represent the same or corresponding parts.

[0035] Figure 1 A schematic diagram of a flow chart of a moxibustion equipment control method based on big data provided by an embodiment of the present invention;

[0036] Figure 2 A schematic structural diagram of a moxibustion equipment control device based on big data provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0038] It should be understood that when the terms "first", "second", etc. are used in the claims, descriptions, and drawings of the present invention, they are only used to distinguish different objects, rather than to describe a specific order. The terms "include" and "comprise" used in the description and claims of the present invention indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their collections.

[0039] It should be noted that in real life, different users have different heat resistance and other factors, which makes it difficult for existing preset parameters and calculation models to accurately match the needs of each user, affecting the user experience.

[0040] Based on this, the embodiment of the present invention discloses a moxibustion equipment control method based on big data, please refer to Figure 1 As shown, Figure 1 A schematic flow chart of a moxibustion device control method based on big data provided by an embodiment of the present invention, the method comprising the following steps S1 to S5:

[0041] S1: Determine the user's preference for each moxibustion project based on the user's usage frequency and project time ratio.

[0042] It should be noted that different users may have different habits regarding the frequency and duration of use of each moxibustion item. In order to accurately adjust the temperature of the moxibustion equipment according to user needs, the embodiment of the present invention determines the possibility of the user selecting each moxibustion item by obtaining the user's frequency and duration of use.

[0043] Specifically, in an embodiment of the present invention, the application scenario of the moxibustion device can be a hospital. When the moxibustion device is used for moxibustion treatment, the moxibustion device can be a moxibustion chair; if the user logs in to the moxibustion chair application for the first time, a visitor identity can be set for the user so that the user can browse in the moxibustion chair application, and the login interface provides the user with all project options; if the user has registered, the login interface can provide the user with all project options and obtain the user's corresponding registration login information and usage information. The user login interface may include options such as physical fitness testing, physical fitness conditioning, user profile, health school, operation process, usage tutorial, remaining moxibustion times, purchase moxibustion, add rings and system settings. During use, the user can wear a heart rate monitoring device, such as a smart bracelet, a chest strap heart rate monitor, etc., and the heart rate monitoring device is bound to the moxibustion device by adding a ring option in the login interface, and the user profile is supplemented, so that the heart rate monitoring device can monitor the user's heart rate in real time during the user's use of the moxibustion device; the collection frequency of the heart rate monitoring device can be set according to actual needs.

[0044] After the user selects the physical conditioning option on the login interface, he enters the function selection interface, which provides the user with a variety of moxibustion items. The moxibustion items can be moxibustion for Qi deficiency, moxibustion for Yang deficiency, moxibustion for Yin deficiency, moxibustion for blood stasis, moxibustion for Qi stagnation, moxibustion for phlegm-dampness, moxibustion for damp-heat, and moxibustion for peaceful constitution, etc. The moxibustion items on the function selection interface can be set according to actual needs.

[0045] In order to provide better services to users, in an embodiment of the present invention, different gears can be set for each moxibustion project so that users who use the moxibustion device for the first time can gradually adapt to the moxibustion process and avoid discomfort caused by directly using high intensity or high temperature.

[0046] For example, different gears can be set for each moxibustion project in the moxibustion device, and each gear corresponds to a different temperature range and a preset initial temperature; the preset initial temperature can be set according to each moxibustion project and actual needs, and the embodiment of the present invention does not impose too many restrictions on this.

[0047] In order to reduce potential safety risks, only management personnel may be allowed to have the authority to set the preset initial temperature.

[0048] After obtaining the user's registration and login information and usage information based on the above steps, the user's preference for each moxibustion item can be determined according to the user's usage information.

[0049] For example, in an embodiment of the present invention, the user's preference for each moxibustion project is determined by the user's frequency of use of the moxibustion project and the proportion of project time, including: obtaining the user's registration and login information, and recording the user's corresponding usage information. The usage information includes the number of times the user uses each moxibustion project, the total number of times all moxibustion projects are used, the duration of each use of each moxibustion project, the total duration of use of all moxibustion projects, and the number of times each moxibustion site is treated in the moxibustion project; the frequency of use of the moxibustion project is obtained by the ratio of the number of times the user uses the moxibustion project to the total number of times all moxibustion projects are used; the proportion of project time for the moxibustion project is obtained by the ratio of the sum of the duration of each use of the moxibustion project by the user to the total duration of use of all moxibustion projects. The user's preference for each moxibustion project is determined by the user's frequency of use of the moxibustion project and the proportion of project time.

[0050] For example, when determining the usage frequency of each moxibustion site in a moxibustion project, the ratio of the number of times each moxibustion site is used to the total number of times all moxibustion projects are used may be used as the usage frequency of each moxibustion site in the moxibustion project.

[0051] Take an example to illustrate the frequency of users' use of moxibustion items, the proportion of project time, and the frequency of use of each moxibustion site in the moxibustion items: if the total number of times a user uses all moxibustion items is 30 times, the total time of use of all moxibustion items is 8 hours, the number of times the Qi deficiency moxibustion item is selected is 6 times, each time for 20 minutes, and the number of times the Qi deficiency moxibustion item is used to treat the abdomen is 3 times. Then the user's use frequency of the Qi deficiency moxibustion item is 6 / 30=0.2, the project time proportion of the Qi deficiency moxibustion item is (20×6) / 480=0.25, and the frequency of using the Qi deficiency moxibustion item to treat the abdomen is 3 / 30=0.1.

[0052] After obtaining the user's usage frequency of moxibustion items and the item time proportion based on the above method, the user's preference degree for each moxibustion item can be determined.

[0053] For example, in the embodiment of the present invention, the user's preference for each moxibustion item is determined, and the specific details can be referred to the following relationship:

[0054] ;

[0055] In the formula, represents the user's preference for the i-th moxibustion item, represents the number of times the user uses the i-th moxibustion item, represents the j-th usage time of the user in the i-th moxibustion project, Indicates the number of moxibustion items.

[0056] In the above formula, Indicates the frequency of users using the i-th moxibustion item. The larger the value, the more frequently the user uses the i-th moxibustion item. The moxibustion item may have a better therapeutic effect on the user, and the user is more likely to choose the i-th moxibustion item.

[0057] represents the total time that the user uses the i-th moxibustion project, Indicates the total duration of use of all moxibustion items.

[0058] It indicates the proportion of project time of the i-th moxibustion project. The larger the value is, the longer the time the user has invested in the i-th moxibustion project, which means that the user is more satisfied with the effect of the moxibustion project or the moxibustion project is more effective in alleviating user symptoms.

[0059] Based on the above formula, the user's preference for each moxibustion project can be obtained. Combined with the above description of the formula, it can be seen that if the user uses the moxibustion project more frequently and spends more time, it means that the moxibustion project is liked by the user or suitable for the user, so the user's preference for the moxibustion project is higher, where the preference can be used to characterize the possibility of the user choosing the moxibustion project. After determining the user's preference for the moxibustion project, the user's preference for using the moxibustion project to treat each moxibustion site can be further determined.

[0060] S2: Obtain the usage frequency of each moxibustion site in the moxibustion project, and obtain the user's preference for using the moxibustion project to treat each moxibustion site by multiplying the usage frequency of each moxibustion site by the preference degree of the moxibustion project.

[0061] It should be noted that the user's preference for each moxibustion project obtained based on the above steps can reflect the user's preferences to a certain extent, but it cannot fully reflect the user's specific preferences. Each user may have different needs for moxibustion sites. For example, some users may prefer relief of the shoulder and neck, while some users may prefer conditioning of the waist. Based on this, it is also necessary to combine the user's preference for each moxibustion site in the moxibustion project to obtain the user's specific preferences.

[0062] For example, in the embodiment of the present invention, the user's preference for using moxibustion items to treat each moxibustion site is determined, and the specific details can be referred to the following relationship:

[0063] ;

[0064] In the formula, Indicates that the user uses the i-th moxibustion item to process the The preference of moxibustion sites, represents the user's preference for the i-th moxibustion item, Indicates that the user uses the i-th moxibustion item to process the The number of times each moxibustion site is used, Indicates the number of times the user uses the i-th moxibustion item.

[0065] In the above formula, Indicates the first The frequency of use of moxibustion sites. The larger the value, the more users prefer to treat the first moxibustion project. Moxibustion sites.

[0066] By multiplying the user's preference for the moxibustion project and the frequency of use of each moxibustion site in the moxibustion project, the user's preference for using the moxibustion project to treat the moxibustion site can be obtained. The greater the preference, the higher the preference of the moxibustion project among all moxibustion projects and the higher the frequency of users using the moxibustion project to treat the moxibustion site.

[0067] By repeating the above steps, the user's preference for using each moxibustion project to treat each moxibustion site can be obtained. By sorting all the preference levels, the moxibustion projects with higher user preferences and the corresponding moxibustion sites can be obtained, that is, the following steps are performed.

[0068] S3: Sort the moxibustion parts corresponding to each moxibustion project based on the degree of preference, and push the moxibustion projects and the corresponding moxibustion parts to the user according to the sorting results of the degree of preference.

[0069] It should be noted that based on the above steps, the user's preference for using each moxibustion project to treat each moxibustion site can be obtained. Pushing moxibustion projects with high preference rankings and corresponding moxibustion sites to users can effectively increase the possibility of users using moxibustion equipment.

[0070] For example, when sorting the moxibustion parts corresponding to each moxibustion item based on the degree of preference, the degree of preference may be sorted in descending order, or the degree of preference may be sorted in descending order, which may be set according to actual needs.

[0071] For example, in an embodiment of the present invention, according to the ranking result of the preference degree, the moxibustion items and the corresponding moxibustion parts are pushed to the user, including the following two possible implementation methods:

[0072] In a possible implementation, the number of push items can be preset, and the preset number of moxibustion items and the corresponding moxibustion parts are pushed to the user according to the ranking results of the preference levels.

[0073] The number of pushes can be preset to 3, which can be set according to actual needs. In this way, the embodiment of the present invention provides users with moxibustion items with high preference rankings and corresponding moxibustion parts, which can effectively increase the possibility of users using moxibustion equipment.

[0074] In another possible implementation, a preference level threshold may be preset, and the moxibustion items and corresponding moxibustion parts that are greater than the preference level threshold may be pushed to the user in sequence according to the sorting results.

[0075] The preference threshold can be set according to actual needs, and the embodiment of the present invention does not impose too many restrictions. In this way, by presetting the preference threshold, a variety of optional moxibustion items and corresponding moxibustion parts can be provided to users, thereby effectively increasing the possibility of users using the moxibustion device.

[0076] Based on the above method, moxibustion projects and corresponding moxibustion parts are pushed to users, so that users can choose preferred moxibustion projects and corresponding moxibustion parts for treatment. During use, the user's heart rate can also be monitored to reduce safety risks.

[0077] S4: Preset the length of the historical time period, obtain the difference between the user's heart rate at each time point and the heart rate average of the historical time period at the time point during use, and determine the user's heart rate responsiveness at the time point.

[0078] It should be noted that different users may have different heat tolerance and personal preferences, and individual reactions to heat may vary depending on factors such as physical constitution and disease status. Therefore, if the user's actual reaction is not taken into account and only the temperature of the user's body is concerned, there may be a possibility of low-temperature burns or other accidents. The heart rate can reflect the activity of the user's sympathetic and parasympathetic nerves, so changes in heart rate can reflect the effects of moxibustion on the body to a certain extent. Heart rate monitoring can help promptly detect physical discomfort or abnormal reactions caused by moxibustion, such as tachycardia or bradycardia, thereby ensuring the safety of moxibustion treatment.

[0079] Based on this, the embodiment of the present invention obtains the user's reaction degree to the moxibustion temperature by analyzing the changes in the body's heart rate during the moxibustion process.

[0080] By way of example, in an embodiment of the present invention, when determining the heart rate responsiveness of a user at each time point, the historical time period of the time point can be obtained, the changes in the heart rate in the historical time period can be analyzed, and the heart rate responsiveness of the user at the current time point can be obtained by the degree of deviation between the heart rate at the current time point and the heart rate of the corresponding historical time period; wherein the heart rate responsiveness is positively correlated with the absolute value of the difference between the heart rate at each time point and the mean heart rate of the historical time period at the current time point.

[0081] Specifically, the heart rate changes over a period of time are collected to obtain a user's heart rate data sequence, which includes multiple time points, each of which corresponds to a unique heart rate. When obtaining the historical time period of the current time point, the current time point can be used as a target to construct the historical time period of the current time point in the heart rate data sequence before the current time point to obtain the historical time period of the current time point; it can be understood that the historical time period of the current time point obtained does not include the current time point.

[0082] The length of the historical time period of a time point can be preset to 60, which can be set according to actual needs. The length of the historical time period is the number of time points included in the historical time period.

[0083] An example is given to illustrate the process of constructing the historical time period of a time point: the length of the preset historical time period is 10, the historical time period of the 80th time point is the length of the data segment including the 70th time point to the 79th time point in the heart rate data sequence, and the number of time points included in the historical time period of the 80th time point is finally 10.

[0084] For example, in the embodiment of the present invention, the heart rate responsiveness of the user at each time point is determined, and the specific relationship can be referred to as follows:

[0085] ;

[0086] In the formula, Indicates that the user is Heart rate reactivity at each time point, Indicates that the user is Heart rate at a time point, Indicates the number of time points included in the historical time period. Indicates the historical period Heart rate at a time point, Represents the absolute value symbol.

[0087] In the above formula, Indicates The heart rate at each time point and The absolute value of the difference between the heart rate mean of the historical time period at the time point, the larger the value, the higher the user's body The greater the difference between the heart rate at a certain time point and the historical heart rate average.

[0088] Indicates that the user is The heart rate variance of the historical time period at a time point. The smaller the value, the higher the heart rate variance of the historical time period. The heart rate in the historical time period at the time point is relatively stable, without experiencing drastic fluctuations, and the user's heart rate in the historical time period is relatively stable, indicating that the user The higher the credibility of the absolute value of the difference between the heart rate at a certain time point and the heart rate in the historical time period.

[0089] Combined with the description of the above formula, it can be seen that if the deviation between the user's heart rate at the current time point and the heart rate of the corresponding historical time period is greater, it means that the user's heart rate responsiveness at the current time point is greater, and the current moxibustion treatment may cause the user to be in a more nervous or uncomfortable state. Among them, the user's heart rate responsiveness at each time point can be used to characterize the current state of the user's body.

[0090] After obtaining the user's heart rate reactivity at each time point based on the above steps, in order to unify the dimension and facilitate subsequent data processing, the user's heart rate reactivity at each time point may also be normalized. The specific setting may be made according to actual needs, and the embodiments of the present invention will not be elaborated herein.

[0091] After determining the user's heart rate responsiveness at the current time point, the temperature of the moxibustion device can be adjusted based on the following steps.

[0092] S5: Calculate the temperature at the time point, and adjust the preset initial temperature of the moxibustion device according to the temperature at the time point to achieve control of the moxibustion device.

[0093] It should be noted that, based on the above steps, the user's heart rate reactivity at each time point is obtained, and the user's state at each time point can be evaluated. If the heart rate reactivity is high, it means that the user may be feeling unwell due to the temperature, and the temperature at the current time point needs to be adjusted.

[0094] For example, in the embodiment of the present invention, the temperature at each time point is determined, and the specific relationship can be as follows:

[0095] ;

[0096] In the formula, Indicates The temperature at a point in time, Indicates that the user is Heart rate reactivity at each time point, Indicates The preset initial temperature at a time point, Represents an exponential function with base e.

[0097] In the above formula, the user The greater the heart rate reactivity at the time point, it means that the treatment temperature used by the user at the current time point may cause the user to be in a more nervous or uncomfortable state, and the temperature needs to be appropriately lowered to avoid unsafe accidents during the user's treatment process; on the contrary, when the user The smaller the heart rate responsiveness at a time point, it means that the user is in a more relaxed state at the current time point. In order to improve the treatment effect, the temperature can be appropriately increased.

[0098] By way of example, in an embodiment of the present invention, the preset initial temperature of the moxibustion device is adjusted by the temperature at a time point to achieve control of the moxibustion device, including: obtaining the gear position of the moxibustion device and the corresponding temperature range; determining the temperature range corresponding to the temperature at a time point, and adjusting the preset initial temperature of the moxibustion device to the gear position corresponding to the temperature range at the time point.

[0099] Among them, the gear position and the corresponding temperature range of the moxibustion device can be set according to actual needs, and the embodiment of the present invention does not impose too many restrictions here.

[0100] For example, since the temperature of moxibustion is generally between 43-70°C, the temperature within this range can better exert the therapeutic effect of moxibustion. Based on this, the embodiment of the present invention can also set a corresponding upper and lower temperature limit for each moxibustion item and the corresponding moxibustion part in the moxibustion device within this range. If the temperature adjustment exceeds this range, a prompt is issued externally through the moxibustion device.

[0101] The upper temperature limit and the lower temperature limit can be set according to actual needs, and the embodiment of the present invention does not impose too many restrictions on this.

[0102] It can be seen that in an embodiment of the present invention, when controlling the moxibustion equipment based on big data, the user's preference for each moxibustion project can be determined by the user's frequency of use of the moxibustion project and the proportion of project time, wherein the preference degree is used to characterize the possibility of the user selecting the moxibustion project; the frequency of use of each moxibustion part in the moxibustion project is obtained, and the user's preference for using the moxibustion project to treat each moxibustion part is obtained by multiplying the frequency of use of each moxibustion part and the preference degree of the moxibustion project; the moxibustion parts corresponding to each moxibustion project are sorted based on the preference degree, and the moxibustion project and the corresponding moxibustion part are pushed to the user according to the sorting result of the preference degree; the length of the historical time period is preset, and the difference between the user's heart rate at each time point and the heart rate mean of the historical time period at the time point is obtained during use to determine the user's heart rate reactivity at the time point, and the heart rate reactivity is positively correlated with the absolute value of the difference; the temperature at the time point is calculated; the preset initial temperature of the moxibustion equipment is adjusted by the temperature at the time point to achieve control of the moxibustion equipment.

[0103] In combination with the above description, the embodiments of the present invention take into account the different preferences of individual users. Therefore, by obtaining the user's preference level for each moxibustion item and the corresponding moxibustion part and pushing information to the user, the accuracy of controlling the moxibustion equipment to push information can be effectively improved; on this basis, the embodiments of the present invention also take into account that the individual user's reaction to heat may vary due to factors such as physical constitution. Therefore, by obtaining the user's heart rate changes during the moxibustion process and automatically adjusting the moxibustion temperature for the user based on the heart rate changes, the accuracy of the moxibustion equipment control can be effectively improved.

[0104] The moxibustion equipment control device based on big data provided by the present invention is described below. The moxibustion equipment control device based on big data described below and the moxibustion equipment control method based on big data described above can refer to each other.

[0105] Figure 2A schematic diagram of a moxibustion equipment control device based on big data provided by an embodiment of the present invention, for example, see Figure 2 As shown, the big data-based moxibustion equipment control device 20 may include:

[0106] The first processing unit 201 is used to determine the user's preference for each moxibustion project based on the user's usage frequency of the moxibustion project and the proportion of project time, wherein the preference degree is used to characterize the possibility of the user selecting the moxibustion project; obtain the usage frequency of each moxibustion site in the moxibustion project, and obtain the user's preference for using the moxibustion project to treat each moxibustion site by multiplying the usage frequency of each moxibustion site by the preference degree of the moxibustion project.

[0107] Push unit 202: used to sort the moxibustion parts corresponding to each moxibustion project based on the degree of preference, and push the moxibustion projects and the corresponding moxibustion parts to the user according to the sorting result of the degree of preference.

[0108] The second processing unit 203 is used to preset the length of the historical time period, obtain the difference between the user's heart rate at each time point and the heart rate average of the historical time period at the time point during use, determine the user's heart rate reactivity at the time point, and the heart rate reactivity is positively correlated with the absolute value of the difference; calculate the temperature at the time point.

[0109] Control unit 204: used to adjust the preset initial temperature of the moxibustion device according to the temperature at a time point to achieve control of the moxibustion device.

[0110] The moxibustion equipment control device based on big data provided in an embodiment of the present invention can execute the technical solution of the moxibustion equipment control method based on big data in any of the above-mentioned embodiments. Its implementation principle and beneficial effects are similar to the implementation principle and beneficial effects of the moxibustion equipment control method based on big data. Please refer to the implementation principle and beneficial effects of the moxibustion equipment control method based on big data, and no further details will be given here.

[0111] The embodiment of the present invention also provides an electronic device, which may include: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The processor may call the logic instructions in the memory to execute the moxibustion device control method based on big data.

[0112] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium may be any suitable magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM, a dynamic random access memory DRAM, a static random access memory SRAM, an enhanced dynamic random access memory EDRAM, a high bandwidth memory HBM, a hybrid memory cube HMC, etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of a device or accessible or connectable to a device.

[0113] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the big data-based moxibustion equipment control method provided by the above-mentioned methods.

[0114] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the big data-based moxibustion equipment control method provided by the above-mentioned methods.

[0115] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0116] Finally, it should be noted that although this specification has shown and described multiple embodiments of the present invention, it is obvious to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will think of many changes, modifications and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the process of practicing the present invention, various alternatives to the embodiments of the present invention described herein may be adopted.

[0117] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A moxibustion equipment control method based on big data, characterized in that: include: Determine the user's preference for each moxibustion project by the user's usage frequency and project time ratio, where the preference is used to represent the possibility of the user choosing the moxibustion project; Obtaining the usage frequency of each moxibustion site in the moxibustion project, and obtaining the user's preference for using the moxibustion project to treat each moxibustion site by multiplying the usage frequency of each moxibustion site by the preference degree of the moxibustion project; The moxibustion parts corresponding to each moxibustion project are sorted based on the preference degree, and the moxibustion projects and the corresponding moxibustion parts are pushed to the user according to the sorting result of the preference degree; the length of the historical time period is preset, and the difference between the user's heart rate at each time point and the heart rate mean of the historical time period at the time point is obtained during use, and the heart rate reactivity of the user at the time point is determined to satisfy the relationship: ； In the formula, Indicates that the user is Heart rate reactivity at each time point, Indicates that the user is Heart rate at a time point, Indicates the number of time points included in the historical time period. Indicates the historical period Heart rate at a time point, Indicates the absolute value symbol; Calculate the temperature at that time: ; In the formula, Indicates The temperature at a point in time, Indicates The preset initial temperature at a time point, represents an exponential function with base e; The preset initial temperature of the moxibustion device is adjusted by the temperature at the time point to achieve control of the moxibustion device.

2. The moxibustion equipment control method based on big data according to claim 1, characterized in that: The method of determining the user's preference for each moxibustion project by the user's usage frequency and project time proportion of the moxibustion project also includes: Obtain user registration and login information, and record the user's corresponding usage information, the usage information including the number of times the user uses each moxibustion item, the total number of times all moxibustion items are used, the usage duration of each moxibustion item, the total usage duration of all moxibustion items, and the number of times each moxibustion item is used to treat each moxibustion site; obtain the usage frequency of the moxibustion item by the ratio of the number of times the user uses the moxibustion item to the total number of times all moxibustion items are used; obtain the project time proportion of the moxibustion item by the ratio of the sum of the usage duration of each moxibustion item by the user to the total usage duration of all moxibustion items.

3. The moxibustion equipment control method based on big data according to claim 1, characterized in that: The method of pushing moxibustion items and corresponding moxibustion parts to the user according to the ranking results of the preference levels includes: The preset number of pushes is used to push the preset number of moxibustion items and the corresponding moxibustion parts to the user according to the sorting results of the preference levels.

4. The moxibustion equipment control method based on big data according to claim 1, characterized in that: The method of pushing moxibustion items and corresponding moxibustion parts to users according to the ranking results of preference levels also includes: A preference threshold is preset, and the moxibustion items and corresponding moxibustion parts that are greater than the preference threshold are pushed to the user in sequence according to the sorting results.

5. The moxibustion equipment control method based on big data according to claim 1, characterized in that: The method of adjusting the preset initial temperature of the moxibustion device by the temperature at the time point to realize the control of the moxibustion device includes: Preset the gears of the moxibustion equipment and the corresponding temperature ranges; The temperature interval corresponding to the temperature at the time point is determined, and the preset initial temperature of the moxibustion device is adjusted to the gear corresponding to the temperature interval at the time point.

6. A moxibustion equipment control device based on big data, characterized in that: include: The first processing unit is used to determine the user's preference for each moxibustion project according to the user's usage frequency of the moxibustion project and the project time ratio, wherein the preference degree is used to characterize the possibility of the user selecting the moxibustion project; obtain the usage frequency of each moxibustion site in the moxibustion project, and obtain the user's preference for using the moxibustion project to treat each moxibustion site by multiplying the usage frequency of each moxibustion site by the preference degree of the moxibustion project; The push unit is used to sort the moxibustion parts corresponding to each moxibustion project from large to small based on the preference degree, and push the moxibustion project and the corresponding moxibustion part to the user according to the sorting result of the preference degree; the second processing unit is used to preset the length of the historical time period, obtain the difference between the user's heart rate at each time point and the heart rate mean of the historical time period at the time point during use, determine the user's heart rate responsiveness at the time point, and satisfy the relationship: ； In the formula, Indicates that the user is Heart rate reactivity at each time point, Indicates that the user is Heart rate at a time point, Indicates the number of time points included in the historical time period. Indicates the historical period Heart rate at a time point, represents the absolute value symbol; calculate the temperature at the time point, satisfying the relationship: ; In the formula, Indicates The temperature at a point in time, Indicates The preset initial temperature at a time point, represents an exponential function with e as the base; a control unit, used to adjust the preset initial temperature of the moxibustion device according to the temperature at the said time point to realize the control of the moxibustion device.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the big data-based moxibustion equipment control method as described in any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the big data-based moxibustion equipment control method as described in any one of claims 1 to 5 is implemented.

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