A cloud service management system and method for intelligent moxibustion therapy instrument

Abstract

This invention relates to the fields of smart healthcare and traditional Chinese medicine information technology, and discloses a cloud service management system and method for an intelligent moxibustion therapy device, comprising: a mobile data input unit for acquiring multi-dimensional profile data of the current user, including basic personal information, constitution type, target treatment symptoms, symptom severity, and past moxibustion history; a user profile management module for receiving the multi-dimensional profile data of the current user, performing structured processing, and generating a profile vector for the current user; and a treatment plan recommendation module for receiving the profile vector of the current user, matching it with the historical user whose profile vector has the highest similarity to the current user in an established group experience database, and using the optimal treatment plan of that historical user as the optimal treatment plan for the current user, thereby realizing the user's moxibustion treatment and data management; this invention improves the efficiency and accuracy of moxibustion treatment plan recommendation.

Description

Technical Field

[0001] This invention relates to the fields of smart healthcare and traditional Chinese medicine information technology, specifically to a cloud service management system and method for an intelligent moxibustion therapy device. Background Technology

[0002] Traditional moxibustion therapy relies heavily on the practitioner's personal experience, resulting in inaccurate treatment parameters (such as temperature, distance, and time), subjective evaluation of efficacy, and difficulties in standardizing and replicating the operational process. Furthermore, existing intelligent moxibustion devices often use fixed parameter templates, such as uniform temperature and treatment time, failing to consider the diverse characteristics of users, including their individual background information, constitution type, symptom severity, and previous moxibustion history. This leads to low adaptability between treatment plans and actual user needs, making it difficult to cater to the treatment requirements of users with different constitutions (such as Yin deficiency or Yang deficiency) and varying symptom severity, thus resulting in poorer moxibustion treatment outcomes. Summary of the Invention

[0003] To address the aforementioned shortcomings in existing technologies, this invention provides a cloud service management system and method for an intelligent moxibustion therapy device, which solves the problems of not being able to transform the vague experience of traditional moxibustion into quantifiable treatment standards, lacking the ability to precisely control treatment parameters, and having poor treatment effects.

[0004] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows: A cloud service management system for an intelligent moxibustion therapy device includes: The mobile data entry unit is used to obtain multi-dimensional profile data of the current user, including basic personal information, body type, target treatment symptoms, symptom severity, and previous moxibustion history. The user profile management module is used to receive the multi-dimensional profile data of the current user, perform structured processing, and generate the profile vector of the current user. The treatment plan recommendation module receives the current user's profile vector, matches it against the historical user whose profile vector has the highest similarity to the current user in the established group experience database, and uses the optimal treatment plan of the historical user as the optimal treatment plan for the current user, so as to realize the user's moxibustion treatment and data management.

[0005] A method for applying a cloud service management system for an intelligent moxibustion therapy device includes the following steps: Collect multi-dimensional profile data of historical users, perform structured processing, and generate profile vectors of historical users; Collect data on the surface temperature of the moxibustion head of the smart moxibustion therapy device, the distance between the moxibustion head and the target treatment area, and the treatment time during the moxibustion treatment process of historical users, and generate treatment plan vectors for historical users; Based on the treatment effect feedback of historical users, the corresponding treatment plan vector is labeled as the optimal treatment plan vector for that historical user. Map the profile vectors of historical users to the vectors of optimal treatment plans to generate basic data tuples for historical users; The basic data tuples of historical users are stored in the form of a table structure to build a group experience database. Obtain the multidimensional profile data of the current user, perform structured processing, and generate the profile vector of the current user; The system matches the historical user with the highest profile vector similarity to the current user in the group experience database, and uses the optimal treatment plan of that historical user as the optimal treatment plan for the current user, so as to realize the user's moxibustion treatment and data management.

[0006] The present invention has the following beneficial effects: 1. The cloud service management system and method for an intelligent moxibustion therapy device proposed in this invention deeply integrates the information characteristics of traditional Chinese medicine with data mining methods, realizing highly personalized treatment plan recommendations. By collecting multi-dimensional user profile data through mobile terminals, generating exclusive profile vectors through structured processing, and combining the optimal treatment plan matching of similar historical users in the group experience database, the recommended treatment plan is accurately adapted to individual differences such as user constitution, symptom severity, and previous moxibustion history, greatly improving the suitability of the plan and the user's treatment effect. At the same time, it also realizes rapid batch matching of historical cases and optimal plan selection, shortens the recommendation time, and ensures that the recommended treatment plan is highly consistent with the current user's core needs. 2. This invention also improves the objectivity and stability of treatment plans, abandons reliance on single human experience, transforms a large amount of effective treatment experience from historical users into standardized data tuples for storage, and uses cosine similarity matching to reuse and verify the effective optimal treatment plan, avoiding subjective bias and ensuring the consistency and reliability of treatment plans. 3. This invention also realizes standardized reuse of group experience, transforming scattered historical treatment experience into a structured group experience database, forming standardized resources that can be reused across users and scenarios, reducing reliance on professional physicians, while supporting the adaptation of different models of smart moxibustion devices, thus expanding the scope of technology application. 4. This invention also ensures the safety and effectiveness of treatment. By analyzing feedback on the treatment effects of historical users, the optimal treatment plan vector for historical users is labeled, and ineffective or high-risk parameter combinations are filtered out. At the same time, by combining multi-dimensional user feature matching, plans that are not suitable for physical condition and symptoms are avoided, thus balancing efficacy and safety. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of the cloud service management system for an intelligent moxibustion therapy device proposed in this invention; Figure 2 This is a flowchart illustrating the cloud service management method for an intelligent moxibustion therapy device proposed in this invention. Detailed Implementation

[0008] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0009] like Figure 1 As shown, a cloud service management system for an intelligent moxibustion therapy device includes: The mobile data entry unit is used to obtain multi-dimensional profile data of the current user, including basic personal information, body type, target treatment symptoms, symptom severity, and previous moxibustion history.

[0010] Specifically, there are nine body constitution types, including balanced constitution, qi deficiency constitution, yin deficiency constitution, yang deficiency constitution, phlegm-dampness constitution, damp-heat constitution, qi stagnation constitution, blood stasis constitution, and special constitution.

[0011] Specifically, the severity of symptoms is quantified using a 1-10 point rating scale, where 1 point represents the mildest symptoms and 10 points represents the most severe symptoms.

[0012] In this embodiment, the process of obtaining multidimensional profile data of users includes basic personal information, constitution type, target treatment symptoms, symptom severity, and previous moxibustion history. The basic personal information mainly includes the user's gender, age, and weight. The constitution type is one of the nine constitutions in traditional Chinese medicine, including balanced constitution, qi deficiency constitution, yin deficiency constitution, yang deficiency constitution, phlegm-dampness constitution, damp-heat constitution, qi stagnation constitution, blood stasis constitution, and special constitution. The target treatment symptoms are shoulder and neck pain, insomnia, etc. The previous moxibustion history is either present or absent.

[0013] The user profile management module is used to receive the multi-dimensional profile data of the current user, perform structured processing, and generate the profile vector of the current user.

[0014] In this embodiment, five core dimensions are focused on: gender, body type, target treatment symptoms, symptom severity, and previous moxibustion history. This accurately covers the key influencing factors for matching moxibustion treatment plans, with no redundant or missing core dimensions. For example, body type determines moxibustion tolerance, target treatment symptoms and symptom severity determine treatment intensity, and previous moxibustion history determines the safety of the plan. Through encoding and standardization, heterogeneous data (classification and numerical values) are transformed into a unified numerical vector, eliminating the dimensional differences between different feature types. This ensures that dimensions such as gender, body type, and severity have equal weight in similarity calculations, avoiding the problem that a large severity value dominates the similarity score.

[0015] Specifically, the user profile management module receives the current user's multi-dimensional profile data, performs structured processing, and generates the current user's profile vector through the following process: Extract the gender from the current user's basic personal information, perform binary encoding, and generate a gender code value.

[0016] In this embodiment, the binary encoding process for gender is as follows: males are defined as 1 in the rule base, and females are defined as 0. The encoding rules can be set in reverse, as long as the encoding logic of historical users and current users is consistent. Based on this, if the current user is female, the gender encoding value is... .

[0017] Extract the current user's constitution type, perform one-hot encoding, and generate a constitution type encoding value.

[0018] In this embodiment, the process of uniquely encoding body type is as follows: First, establish a fixed-order dictionary for the nine body constitutions, such as the following dictionary mapping: 1: Balanced constitution; 2: Qi deficiency constitution; 3: Yin deficiency constitution; 4: Yang deficiency constitution; 5: Phlegm-dampness constitution; 6: Damp-heat constitution; 7: Qi stagnation constitution; 8: Blood stasis constitution; 9: Special constitution; Then, the encoding rules are formulated, and the code is generated. A unique heat vector is defined where a user has a certain symptom, and the corresponding dimension is 1; otherwise, it is 0. In scenarios with multiple symptoms, all dimensions corresponding to multiple symptoms are labeled 1. The entire dimensional vector is Based on this, if the current user has a Yang deficiency constitution, corresponding to dictionary 4, then we have .

[0019] Extract the target treatment symptom of the current user, perform unique heat encoding, and generate the target treatment symptom code value.

[0020] In this embodiment, the unique heat encoding process for the target treatment symptom is the same as the unique heat encoding process for the constitution type, specifically as follows: First, construct a database of common symptoms treated by moxibustion, such as pre-defined symptoms. The core symptom database includes: 1. Neck and shoulder pain; 2. Insomnia; 3. Spleen and stomach weakness; 4. Joint pain; 5. Cold uterus; and this core symptom database must be fixed and cover mainstream clinical scenarios. Secondly, coding rules are formulated and generated. A unique heat vector is defined, where a user has a certain type of symptom and the corresponding dimension is 1, otherwise it is 0. Furthermore, in multi-symptom scenarios, multiple symptoms correspond to different dimensions, all labeled with 1. The entire dimensional vector as Based on this, if the current user's target symptoms are neck and shoulder pain + insomnia, corresponding to dictionaries 1 and 2, then: .

[0021] Extract the severity of the current user's symptoms, standardize them, and generate standardized symptom severity values.

[0022] In this embodiment, the minimum and maximum standardization method is selected to map the original symptom severity scores to the 0-1 interval, thus preserving the relative magnitude of the scores. This method is also simple to calculate and suitable for a fixed score range. The calculation formula is as follows: , Raw scores representing the severity of symptoms. This represents the lower limit of the score range of 1-10, with a value of 1. This represents the upper limit of a score from 1 to 10, with a value of 10. Based on this, if the current user rates the severity of their symptoms at 8, then... .

[0023] Extract the current user's past moxibustion history, perform binary encoding, and generate past moxibustion history code values.

[0024] In this embodiment, the binary encoding process for past moxibustion history is as follows: First, define a classification label, requiring only one-dimensional numerical representation. If there is a past moxibustion history, it is defined as 1; if there is no past moxibustion history, it is defined as 0. The encoding rule can be set in reverse, only needing to ensure that the encoding logic of historical users and current users is consistent. Based on this, if the current user has a past moxibustion history, the encoded value of the past moxibustion history is... .

[0025] Finally, the current user's profile vector is obtained. ,Right now:

[0026] in, , , , , These represent the gender coding value, body constitution type coding value, target treatment symptom coding value, symptom severity standardized value, and previous moxibustion history coding value, respectively.

[0027] In this embodiment, if the current user is female, has a Yang deficiency constitution, and the target treatment symptoms are neck and shoulder pain and insomnia with a symptom severity score of 8, and has no prior history of moxibustion, then the profile vector of this current user is: .

[0028] In summary, gender and past moxibustion history are binary discrete features. Using binary codes can simplify the representation of category differences and avoid introducing meaningless numerical associations. Constitution type (9 mutually exclusive TCM constitutions) and target treatment symptoms (multi-class unordered data) are multi-class discrete features. Using one-hot encoding can avoid numerical magnitude misleading. For example, if the 9 constitutions are encoded with 1-9, the system will mistakenly consider 1 balanced < 2 Qi deficiency, indicating an order relationship. Symptom severity is a continuous numerical feature (1-10 points). Standardization can eliminate dimensional differences and prevent this dimension from overly dominating the results in subsequent similarity calculations. Finally, by sequentially concatenating the encoded or standardized feature sub-vectors, a one-dimensional comprehensive feature vector for user similarity calculation, i.e., the profile vector, is formed. This vector conforms to the format requirements of cosine similarity calculation for equi-dimensional feature vectors, laying the foundation for subsequent historical user matching.

[0029] The treatment plan recommendation module receives the current user's profile vector, matches it against the historical user whose profile vector has the highest similarity to the current user in the established group experience database, and uses the optimal treatment plan of the historical user as the optimal treatment plan for the current user, so as to realize the user's moxibustion treatment and data management.

[0030] Specifically, the process of establishing a group experience database is as follows: Collect multi-dimensional profile data of historical users, including basic personal information, body type, target treatment symptoms, symptom severity, and previous moxibustion history.

[0031] In this embodiment, the multidimensional profile data of historical users is completely consistent with the data dimensions of the current user to ensure the profile vectors of subsequent historical users are accurate. Compared with the current user's profile vector The isomorphism of these structures provides a prerequisite for subsequent cosine similarity calculations.

[0032] The multidimensional profile data of historical users is structured to generate profile vectors for those users, namely:

[0033] in, Indicates the first A profile vector of a historical user. , , , , They represent the first The encoding values ​​for gender, body type, target treatment symptom, symptom severity, and previous moxibustion history of each historical user.

[0034] In this embodiment, the profile vectors of historical users are... Compared with the current user's profile vector The generation rules are completely unified, avoiding the problem of vector incomparability caused by differences in processing rules, and ensuring the fairness of similarity matching.

[0035] Simultaneously, the system collects data on the surface temperature of the moxibustion head, the distance between the moxibustion head and the target treatment area, and the treatment time during historical user moxibustion treatments, generating a treatment plan vector for each historical user.

[0036] in, Indicates the first Treatment plan vectors for historical users, Indicates the first For historical users, the surface temperature of the moxibustion head of the smart moxibustion therapy device during moxibustion treatment can be measured directly. If the smart moxibustion therapy device has a built-in thermistor sensor, the temperature value can be read directly. Otherwise, a temperature sensor or infrared temperature sensor can be used for direct measurement. Indicates the first The distance between the moxibustion head and the target treatment area during moxibustion treatment is recorded for each historical user. If the smart moxibustion device has a treatment mode, the distance set for that mode can be directly read; the measurement range is generally 2-15cm. If the device does not have a preset treatment mode, the distance can be obtained using an ultrasonic ranging sensor or other distance-measurable sensors. Indicates the first The treatment time for each historical user during moxibustion treatment, from the start to the end of the treatment.

[0037] Based on historical user feedback on treatment outcomes, the corresponding treatment plan vector is labeled as the optimal treatment plan vector for that historical user. .

[0038] In this embodiment, the feedback on the treatment effect of historical users includes the surface temperature of the moxibustion head of the smart moxibustion therapy device, the distance between the moxibustion head and the target treatment area, the degree of symptom improvement and satisfaction during the treatment time, and the evaluation using a score of 1-10 from historical users. The treatment plan vector corresponding to the highest score of the historical user is selected as the optimal treatment plan vector for that historical user.

[0039] Mapping historical user profile vectors to optimal treatment plan vectors generates basic data tuples for historical users. .

[0040] Historical user basic data tuples Store the data in a table structure to create a group experience database.

[0041] In this embodiment, the basic data tuples are stored in a table structure, which facilitates quick querying of the relationship between the profile vectors of historical users and the optimal treatment plan vectors. It also adapts to the process of batch extracting the profile vectors of historical users to calculate similarity during similarity calculation, while matching the process of the optimal treatment plan vector, thus balancing storage efficiency and retrieval efficiency.

[0042] Specifically, the process of matching the historical user with the highest similarity to the current user's profile vector in the established group experience database, and using the optimal treatment plan of that historical user as the optimal treatment plan for the current user, is as follows: Retrieve basic data tuples of all historical users from the group experience database. , This represents the total number of historical users.

[0043] Calculate the similarity between the profile vector of each historical user and the profile vector of the current user.

[0044] Based on the current user's profile vector A profile vector for each historical user Calculate the cosine similarity between the current user's profile vector and the profile vectors of each historical user, specifically as follows: Calculate the dot product of the current user's profile vector and the profile vectors of each historical user, i.e.: .

[0045] Calculate the magnitude of the current user's profile vector and the profile vector of each historical user, respectively: .

[0046] .

[0047] Calculate the cosine similarity between the current user's profile vector and the profile vectors of each historical user, i.e.:

[0048] in, This represents the cosine similarity.

[0049] Sort all cosine similarities from highest to lowest, select the historical user with the highest cosine similarity, and use the optimal treatment plan of that historical user as the optimal treatment plan for the current user.

[0050] In this embodiment, this step accurately captures the feature fit between the current user and historical users through cosine similarity, ensuring that the recommended optimal treatment plan is based on the most similar practical experience, significantly reducing the adaptation deviation between the treatment plan and user needs. At the same time, the calculation logic is simple and efficient, the table structure data supports batch calculation, and the sorting and filtering process has no complex decision logic, which can quickly output treatment plans, ensuring user convenience and plan adaptation experience. Furthermore, by directly reusing the optimal treatment plan that has been verified and proven effective by historical users, repeated trial and error are avoided, which not only ensures the practical reliability of the treatment plan, but also reduces the safety risks and time costs of ineffective treatment.

[0051] A method for applying a cloud service management system for an intelligent moxibustion therapy device includes the following steps: Collect multi-dimensional profile data of historical users, perform structured processing, and generate profile vectors for historical users.

[0052] Collect data on the surface temperature of the moxibustion head of the smart moxibustion therapy device, the distance between the moxibustion head and the target treatment area, and the treatment time during the moxibustion treatment process of historical users, and generate treatment plan vectors for historical users.

[0053] Based on the treatment effect feedback of historical users, the corresponding treatment plan vector is labeled as the optimal treatment plan vector for that historical user.

[0054] Map the profile vectors of historical users to the vectors of optimal treatment plans to generate basic data tuples for historical users.

[0055] The basic data tuples of historical users are stored in the form of a table structure to build a group experience database.

[0056] Obtain the multidimensional profile data of the current user, perform structured processing, and generate the profile vector of the current user.

[0057] The system matches the historical user with the highest profile vector similarity to the current user in the group experience database, and uses the optimal treatment plan of that historical user as the optimal treatment plan for the current user, so as to realize the user's moxibustion treatment and data management.

[0058] Specific embodiments have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

[0059] Those skilled in the art will recognize that the embodiments described herein are intended to help the reader understand the principles of the invention, and should be understood that the scope of protection of the invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific modifications and combinations based on the technical teachings disclosed in this invention without departing from the spirit of the invention, and these modifications and combinations are still within the scope of protection of this invention.

Claims

1. A cloud service management system for an intelligent moxibustion therapy device, characterized in that, include: The mobile data entry unit is used to obtain multi-dimensional profile data of the current user, including basic personal information, body type, target treatment symptoms, symptom severity, and previous moxibustion history. The user profile management module is used to receive the multi-dimensional profile data of the current user, perform structured processing, and generate the profile vector of the current user. The treatment plan recommendation module receives the current user's profile vector, matches it against the historical user whose profile vector has the highest similarity to the current user in the established group experience database, and uses the optimal treatment plan of the historical user as the optimal treatment plan for the current user, so as to realize the user's moxibustion treatment and data management.

2. The cloud service management system for the intelligent moxibustion therapy device according to claim 1, characterized in that, There are nine body constitution types, including balanced constitution, qi deficiency constitution, yin deficiency constitution, yang deficiency constitution, phlegm-dampness constitution, damp-heat constitution, qi stagnation constitution, blood stasis constitution, and special constitution.

3. The cloud service management system for the intelligent moxibustion therapy device according to claim 2, characterized in that, Symptom severity was quantified using a 1-10 point rating scale, where 1 point represents the mildest symptoms and 10 points represents the most severe symptoms.

4. The cloud service management system for the intelligent moxibustion therapy device according to claim 3, characterized in that, The user profile management module receives the current user's multi-dimensional profile data, performs structured processing, and generates the current user's profile vector through the following process: Extract the gender from the current user's basic personal information, perform binary encoding, and generate a gender code value; Extract the current user's constitution type, perform one-hot encoding, and generate a constitution type encoding value; Extract the target treatment symptom of the current user, perform unique heat encoding, and generate the target treatment symptom code value; Extract the severity of the current user's symptoms, standardize them, and generate standardized symptom severity values; Extract the current user's past moxibustion history, perform binary encoding, and generate past moxibustion history code values; Finally, the current user's profile vector is obtained. ,Right now: in, , , , , These represent the gender coding value, body constitution type coding value, target treatment symptom coding value, symptom severity standardized value, and previous moxibustion history coding value, respectively.

5. The cloud service management system for the intelligent moxibustion therapy device according to claim 4, characterized in that, The process of establishing a group experience database is as follows: Collect multi-dimensional profile data of historical users, including basic personal information, body type, target treatment symptoms, symptom severity, and previous moxibustion history; The multidimensional profile data of historical users is structured to generate profile vectors for those users, namely: in, Indicates the first A profile vector of a historical user. , , , , They represent the first The coding values ​​for gender, body type, target treatment symptom, symptom severity, and past moxibustion history of each historical user; Simultaneously, the system collects data on the surface temperature of the moxibustion head, the distance between the moxibustion head and the target treatment area, and the treatment time during historical user moxibustion treatments, generating a treatment plan vector for each historical user. in, Indicates the first Treatment plan vectors for historical users, Indicates the first The surface temperature of the moxibustion head of the intelligent moxibustion therapy device during moxibustion treatment by a historical user. Indicates the first The distance between the moxibustion head and the target treatment area during moxibustion treatment for a historical user. Indicates the first Treatment time for each historical user during moxibustion therapy; Based on historical user feedback on treatment outcomes, the corresponding treatment plan vector is labeled as the optimal treatment plan vector for that historical user. ; Mapping historical user profile vectors to optimal treatment plan vectors generates basic data tuples for historical users. ; Historical user basic data tuples Store the data in a table structure to create a group experience database.

6. The cloud service management system for the intelligent moxibustion therapy device according to claim 5, characterized in that, The process of matching the historical user with the highest similarity to the current user's profile vector in the established group experience database, and using the optimal treatment plan of that historical user as the optimal treatment plan for the current user, is as follows: Retrieve basic data tuples of all historical users from the group experience database. , This represents the total number of historical users. Based on the current user's profile vector A profile vector for each historical user Calculate the cosine similarity between the current user's profile vector and the profile vector of each historical user; Sort all cosine similarities from highest to lowest, select the historical user with the highest cosine similarity, and use the optimal treatment plan of that historical user as the optimal treatment plan for the current user.

7. The cloud service management system for the intelligent moxibustion therapy device according to claim 6, characterized in that, Based on the current user's profile vector A profile vector for each historical user The process of calculating the cosine similarity between the current user's profile vector and the profile vectors of each historical user is as follows: Calculate the dot product of the current user's profile vector and the profile vectors of each historical user, i.e.: ； Calculate the magnitude of the current user's profile vector and the profile vector of each historical user, respectively: ； ； Calculate the cosine similarity between the current user's profile vector and the profile vectors of each historical user, i.e.: in, This represents the cosine similarity.

8. A cloud service management method for an intelligent moxibustion therapy device, characterized in that, Applied to the system as described in any one of claims 1-7, comprising the following steps: Collect multi-dimensional profile data of historical users, perform structured processing, and generate profile vectors of historical users; Collect data on the surface temperature of the moxibustion head of the smart moxibustion therapy device, the distance between the moxibustion head and the target treatment area, and the treatment time during the moxibustion treatment process of historical users, and generate treatment plan vectors for historical users; Based on the treatment effect feedback of historical users, the corresponding treatment plan vector is labeled as the optimal treatment plan vector for that historical user. Map the profile vectors of historical users to the vectors of optimal treatment plans to generate basic data tuples for historical users; The basic data tuples of historical users are stored in the form of a table structure to build a group experience database. Obtain the multidimensional profile data of the current user, perform structured processing, and generate the profile vector of the current user; The system matches the historical user with the highest profile vector similarity to the current user in the group experience database, and uses the optimal treatment plan of that historical user as the optimal treatment plan for the current user, so as to realize the user's moxibustion treatment and data management.

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