Intelligent smoking cessation management system

Abstract

The invention relates to the technical field of health management, and discloses an intelligent smoking cessation management system which comprises an intelligent terminal and a cloud server which establish information interaction connection. The intelligent terminal comprises a user side and a consultant side; the consultant end and the user end perform data interaction through the cloud server; the user side comprises a tobacco addiction self-test module, a daily micro-test module, a health tool module, a consultation module, a tobacco addiction index module and a recording module; the tobacco addiction self-testing module is used for metering the tobacco addiction degree of the user and forming tobacco addiction quantitative data; the daily micro-test module is used for collecting self-test data; the health tool module is used for recording smoking cessation influence factors and forming smoking cessation behavior data; the consultation module is used for a user to perform consultation interaction with a consultant end; the tobacco addiction index module is used for counting and visually displaying current tobacco addiction index data of the user; the recording module is used for recording adverse reactions of the user in the smoking cessation process. According to the invention, intelligent, personalized and comprehensive smoking cessation management can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of health management, and in particular to an intelligent smoking cessation management system. Background Art

[0002] Data from the World Health Organization in 2020 showed that 22.3% of the world's population uses tobacco, of which 36.7% of men use tobacco and 7.8% of women use tobacco. In my country, the current total smoking rate is estimated to be 25.1%, of which 47.6% of men use tobacco, which is significantly higher than the 1.9% smoking rate of women.

[0003] Tobacco dependence is a chronic, highly recurrent disease, the essence of which is nicotine dependence. Among the general population aged 20-69, the prevalence of tobacco dependence is 13.1%. Among current smokers, the prevalence of tobacco dependence is 49.7%, with no significant difference between men and women. The incidence of tobacco dependence is significantly correlated with the intensity of smoking. The greater the intensity of smoking, the greater the likelihood of smokers becoming dependent on smoking. Data show that in 2018, there were 183.5 million adults with tobacco dependence in China, of which 177.5 million were men.

[0004] Smoking can cause many diseases, the most important of which are respiratory diseases, including chronic obstructive pulmonary disease, bronchial asthma, small airway dysfunction, respiratory infections, tuberculosis, interstitial lung disease, venous thromboembolism, sleep apnea, etc. Taking COPD as an example, at least 25% of continuous smokers develop into COPD patients. However, quitting smoking has been proven to change the natural course of COPD and delay the progression of the disease. Not only smokers themselves, but also non-smokers exposed to secondhand smoke will be affected. Secondhand smoke can cause serious cardiovascular and respiratory diseases, including coronary heart disease and lung cancer, and causes about 1.3 million premature deaths each year.

[0005] Although quitting smoking has a high health cost-effectiveness, traditional smoking cessation software is only driven by the subjective will of smokers, and the success rate of smokers who quit smoking by willpower alone is only 2%-5%, and more smokers need professional smoking cessation intervention. However, most competing products on the market cannot achieve the connection between the user end and the consultant end, making it impossible for this large group of smokers to receive continuous guidance from professionals. Summary of the invention

[0006] The present invention aims to provide an intelligent smoking cessation management system that can realize intelligent, personalized and comprehensive smoking cessation management.

[0007] The basic scheme provided by the present invention is: an intelligent smoking cessation management system, comprising an intelligent terminal and a cloud server that establish information interaction connection; the intelligent terminal comprises a user terminal and a consultant terminal; the consultant terminal and the user terminal perform data interaction through the cloud server;

[0008] The user terminal includes a smoking addiction self-test module, a daily micro-test module, a health tool module, a consultation module, a smoking addiction index module and a recording module;

[0009] The smoking addiction self-test module is used to measure the smoking addiction degree of the user according to the preset quantitative rules and form smoking addiction quantitative data;

[0010] The daily micro-test module is used to provide a self-test evaluation form and collect self-test data; the self-test evaluation form is generated based on key factors for quitting smoking; the key factors for quitting smoking include addiction factors and emotional factors;

[0011] The health tool module is used to provide a recording grid of factors influencing smoking cessation, and record the factors influencing smoking cessation to form smoking cessation behavior data;

[0012] The consultation module is used for the user to interact with the consultant terminal for consultation;

[0013] The smoking addiction index module is used to count and visualize the user's current smoking addiction index data; the smoking addiction index data is calculated based on smoking addiction quantitative data, self-test data and smoking cessation behavior data;

[0014] The recording module is used to record the adverse reactions of the user during the smoking cessation process.

[0015] The working principle and advantages of the present invention are:

[0016] The intelligent smoking cessation management system of the present invention provides modules such as self-testing of smoking addiction, daily micro-testing, health tools, consultation, smoking addiction index and records through close cooperation between the user end and the consultant end, combined with the strong support of the cloud server, which can comprehensively cover all aspects of the smoking cessation process, ensure data accuracy, personalized services and efficient management, and significantly improve the success rate of smoking cessation and user experience. It provides users with a comprehensive, personalized and efficient smoking cessation solution.

[0017] The key points are that, first, multiple modules on the user side (smoking addiction self-test, daily micro-test, health tools, consultation, smoking addiction index, records) provide all-round support from smoking addiction assessment to adverse reaction records, and provide personalized smoking cessation advice and intervention measures through quantitative assessment and data accumulation, thereby improving the success rate of smoking cessation. Among them, the smoking addiction self-test module on the user side can accurately assess the user's smoking addiction through preset quantitative rules, and form objective smoking addiction quantitative data, so as to provide users with personalized smoking cessation advice and intervention measures in the future, and also help consultants to promptly detect serious smoking addiction and take necessary intervention measures. The daily micro-test module helps users continuously monitor the progress of smoking cessation by providing self-test evaluation forms, and conducts a comprehensive evaluation based on key smoking cessation factors (smoking addiction factors and emotional factors) to ensure the accuracy of the evaluation results. The self-test data accumulated over a long period of time can be used for trend analysis to help users and consultants better understand the changes in the smoking cessation process.

[0018] The health tool module provides a recording grid for factors affecting smoking cessation, helping users record various factors affecting daily life and forming smoking cessation behavior data. By recording and analyzing these factors, it is helpful to find out the potential reasons affecting the success / failure of smoking cessation and develop targeted solutions. Users can also better manage their smoking cessation behavior and enhance self-control through recording and reviewing. The smoking addiction index module can help users and consultants clearly understand the progress of smoking cessation through the comprehensive calculation of the smoking addiction index. According to the changes in the smoking addiction index, it can provide a reliable data benchmark for the adjustment of the smoking cessation plan to ensure the effectiveness of the plan. The recording module records the adverse reactions of users during the smoking cessation process, helping users and consultants to find and deal with problems in a timely manner. The adverse reaction data can be used as an important reference for adjusting the smoking cessation plan to ensure the safety and effectiveness of the plan. By recording and analyzing adverse reactions, it helps consultants to provide users with appropriate psychological support and intervention measures in a timely manner to help users overcome difficulties in the smoking cessation process.

[0019] Second, the consultation module allows users to have instant consultation and interaction with consultants, and obtain professional smoking cessation guidance and support. Users can consult at any time and place, without geographical restrictions, which improves the convenience and efficiency of consultation. The consultant side can efficiently manage multiple users, which can improve work efficiency and management level. This system can combine traditional commercial smoking cessation software with clinical smoking cessation clinics. From the hospital's perspective, this method digitizes the management method of smoking cessation clinics, making the hospital's management of patients clearer, and doctors (consultant side) can adjust treatment plans at any time according to the patient's condition. From the perspective of smokers who quit (user side), based on the professionalism of doctors, patients can receive more effective smoking cessation interventions.

[0020] Third, this system can assist in quantifying the smoking cessation process of smokers (users) through data quantification records in multiple modules, stimulate the self-efficacy of smokers with frequent and visible feedback, and thus improve the success rate of smoking cessation. In the actual smoking cessation process, in addition to the guidance received during the process, the results of smoking cessation will also be affected by the self-efficacy of smokers, that is, the degree of confidence of individuals in consciously performing certain behaviors. Smokers with high self-efficacy are more likely to persist in not smoking when facing high-risk scenarios that induce smoking. However, conventional smoking cessation methods are difficult to generate timely positive feedback to offset the anxiety and depression caused by smoking cessation, which makes the process of smoking cessation very painful for smokers, and also makes smokers gradually lose confidence in successfully quitting smoking. This solution provides countermeasures for this situation, which can provide intuitive feedback to smokers through data quantification to promote their self-efficacy.

[0021] In summary, this system not only provides all-round support from addiction assessment to adverse reaction records, covering all aspects of the smoking cessation process, but also provides personalized smoking cessation advice and support through quantitative assessment and data accumulation, thereby improving the success rate of smoking cessation. The consultant end can efficiently manage multiple users through the system to improve work efficiency and management level. The system provides a scientific basis for the optimization and improvement of smoking cessation programs through data collection and analysis. The user end is simple and easy to use, and provides a variety of interactive and recording tools to enhance user experience and participation. It can significantly improve the quality and effectiveness of smoking cessation services, help more users successfully quit smoking, and improve their health. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 The figure is a schematic diagram of the system framework structure of an embodiment of an intelligent smoking cessation management system of the present invention. DETAILED DESCRIPTION

[0023] The following is a further detailed description through specific implementation methods:

[0024] The embodiment is basically as shown in the attached Figure 1 As shown: an intelligent smoking cessation management system, including an intelligent terminal and a cloud server that establish an information interaction connection; the intelligent terminal includes a user end and a consultant end; the user end and the consultant end are respectively present on different intelligent terminals, and the two operate independently; the consultant end and the user end exchange data through the cloud server, realizing real-time synchronization and high availability of data, ensuring that the information between the user and the consultant is always consistent, and also providing a high degree of security and scalability.

[0025] The cloud server is provided with a data transmission module, a data storage module and a data processing module; the data transmission module is used to realize two-way information interaction between the intelligent terminal and the cloud server, the data storage module is used to store the data generated in the two-way information interaction; the data processing module is used for the intelligent terminal to call and complete the relevant data calculation.

[0026] The user terminal includes a smoking addiction self-test module, a daily micro-test module, a health tool module, a consultation module, a smoking addiction index module and a recording module.

[0027] The smoking addiction self-test module is used to measure the smoking addiction degree of the user according to the preset quantitative rules and form smoking addiction quantitative data.

[0028] Specifically, in this embodiment, the preset quantification rule is: using the nicotine dependence assessment scale to first conduct a basic assessment of the user's smoking addiction degree, and obtain a scale score, and use the scale score × 10 as the smoking addiction quantification data.

[0029] The smoking addiction self-test module collects basic smoking addiction data based on a questionnaire to measure the smoking addiction degree of the user; the questionnaire includes multiple self-test questions, and different options of each self-test question are assigned different scores. Here, the questionnaire is the nicotine dependence assessment scale in the preset quantitative rules.

[0030] The daily micro-test module is used to provide a self-test evaluation form and collect self-test data; the self-test evaluation form is generated based on the key factors for quitting smoking, and is used for users to conduct daily self-test evaluations on the key factors for quitting smoking, thereby obtaining self-test data. Specifically, the key factors for quitting smoking include addiction factors and emotional factors.

[0031] Furthermore, the self-assessment form in the daily micro-assessment module is provided with different scores for different key factors for smoking cessation.

[0032] Specifically, the smoking addiction factor and emotional factor are obtained based on a five-level evaluation; the five-level evaluation includes five evaluation indicators that decrease in order from best to worst. Among them, in the evaluation of smoking addiction factors, the five-level evaluation indicators include slight addiction, light addiction, moderate addiction, severe addiction, and extreme addiction; the five-level evaluation of smoking addiction can be obtained by the user according to his or her desire for cigarettes on that day. Preferably, the ratio of the number of cigarettes smoked by the user on that day to the upper limit of the number of cigarettes smoked by the user on that day can also be collected synchronously, and the actual degree of smoking addiction of the user on that day can be verified again based on the ratio.

[0033] In the assessment of emotional factors, the five-level evaluation indicators include very good, good, average, poor, and extremely poor; users can make a five-level assessment of their emotions based on their mood on that day.

[0034] The health tool module is used to provide a recording grid of factors influencing smoking cessation, and record the factors influencing smoking cessation to form smoking cessation behavior data.

[0035] The factors affecting smoking cessation include the user's daily smoking habits, the user's weight and its changing trend, the user's systolic blood pressure, diastolic blood pressure, heart rate and its changing trend, the user's dietary combination, dietary intake, dietary habits, and the user's exercise and medication conditions.

[0036] Specifically, in this embodiment, the above-mentioned several types of smoking cessation influencing factors are collected and recorded using one unit respectively, including:

[0037] The smoking management unit is used to record the user's daily smoking situation, set the upper limit of the number of cigarettes smoked by the user per day, and query the historical smoking cessation goals set by the user or consultant. The user's daily smoking situation includes the type of cigarettes, the number of cigarettes inhaled, the inhalation method, the smoking time, the recording time, and the recorder; the types of cigarettes include but are not limited to cigarettes, electronic cigarettes, pipe tobacco, cigars, etc., and the inhalation methods include local circulation, overall circulation, nasal inhalation, etc.

[0038] The number of inhaled roots is calculated using the following formula:

[0039]

[0040] In the formula, n represents the number of times the user smokes on that day, CT i Represents the coefficient corresponding to the type of cigarette smoked by the user for the i-th time on the day, IDI i Represents the coefficient corresponding to the user's inhalation method when smoking for the i-th time on the day.

[0041] The weight management unit is used to record the user's weight and its changing trend, and guide the user to manage his weight. The weight data can be obtained by manual input by the user, or by Bluetooth transmission of the smart scale, or by intelligent recognition of photos containing weight measurement results.

[0042] The blood pressure management unit is used to record the user's systolic blood pressure, diastolic blood pressure, heart rate and their changing trends; it is also used to record the user's condition when measuring the above data, including whether to take medication or undergo physical therapy, and guide the user to manage their blood pressure. Blood pressure data can be obtained through manual input by the user, or through Bluetooth transmission of smart hardware such as smart blood pressure monitors, or through intelligent recognition of photos containing blood pressure measurement results.

[0043] The diet management unit is used to record the user's dietary combinations, dietary intake, dietary habits, and to manage the user's diet. Users can upload dietary pictures for food identification, thereby intelligently entering relevant dietary information.

[0044] The exercise management unit is used to record the user's exercise status, including sports items and corresponding exercise amounts, and to manage the user's exercise. The data can be manually input by the user or obtained by a smart watch or smart bracelet via Bluetooth transmission.

[0045] The medication management unit is used to record the user's medication status and remind the user to take the medication on time and in the correct dosage.

[0046] In actual applications, the specific components of the health tool module can be freely added or reduced by the user according to his or her own situation. When the user deletes a component unit, the consultant will not be able to assign smoking cessation tasks to this unit.

[0047] The consultation module is used for the user to interact with the consultant terminal for consultation.

[0048] The consultation module also includes an information uploading unit, a case filling unit and a case recording unit.

[0049] The information uploading unit is used for users to register personal information, smoking-related information and smoking cessation-related information before a new round of smoking cessation treatment; the personal information includes the user's age, date of birth, and gender; the smoking cessation-related information includes the user's smoking history information and smoking cessation history information;

[0050] The case filling unit is used to collect the user's health data, medication status, smoking cessation date and next follow-up time. The health data includes but is not limited to height, weight, blood pressure, exhaled breath CO measurement and nicotine dependence score;

[0051] The case record unit is used to query historical case registration records, and each case registration is assigned a unique number to the case.

[0052] The consultation module also includes a smoking cessation follow-up unit, a user task unit and a consultant editing unit.

[0053] The smoking cessation follow-up unit is used to perform a phased evaluation on the smoking cessation status of the user. Specifically, the smoking cessation follow-up unit includes the following contents when performing the phased evaluation:

[0054] Collect information related to the user's smoking cessation status, including the user's health status, weight change, amount of exercise, withdrawal symptoms, etc., the user's smoking status, the user's smoking cessation progress satisfaction and difficulty, the user's medication status, the user's smoking cessation willingness, and the user's evaluation of the smoking cessation service. In this embodiment, when collecting the above information, it is collected through a questionnaire;

[0055] Query the user's past follow-up records and add a follow-up plan. The information required for adding a follow-up plan includes the follow-up object, the date of starting to quit smoking, the type of follow-up report, the follow-up date, the follow-up plan developer, the date of follow-up plan development, and remarks;

[0056] The start date of smoking cessation, follow-up date and follow-up status of each follow-up are displayed in the form of a timeline. The follow-up status includes expired, in progress and not started. Users can delete the follow-up plan in this unit.

[0057] The user task unit is used for users to view the feedback information of consultants; the feedback information includes the smoking cessation tasks formulated by the consultants and the consultants' evaluation of the execution of the smoking cessation tasks.

[0058] The consultant editing unit is used for users to add smoking cessation consultants, view consultants' detailed information, and query the advice provided by consultants. Specifically, when adding smoking cessation consultants, users can set screening conditions in the consultant editing unit to perform personalized consultant screening. The screening conditions include name, region, job title, certification status, smoking cessation rate of consultants' past clients, consultant response speed, etc.

[0059] The smoking addiction index module is used to count and visualize the user's current smoking addiction index data; the smoking addiction index data is calculated based on smoking addiction quantitative data, self-test data and smoking cessation behavior data (optionally, the data processing module is called here for calculation). Specifically, according to the size of the smoking addiction index, the level is divided into mild, moderate and severe levels. According to the comparison results of the current smoking addiction index with the previous smoking addiction index, the development trend is divided into three situations: reduction, balance and improvement. The smoking addiction index module also allows users to query historical smoking addiction index data.

[0060] The smoking addiction index data is calculated using the following formula:

[0061]

[0062] Among them, x and y represent the weight of the scores of self-test data and smoking cessation behavior data in the smoking addiction index, i represents the number of questions in the smoking addiction self-test module, p represents the total number of questions in the smoking addiction self-test module, and a i represents the score corresponding to the answer to the i-th question, j represents the factor number in the daily micro-test module, and b j represents the weight of the jth factor, c j represents the score of the jth factor, k represents the behavioral operation number in the health tool module, m represents the total number of behavioral operations in the health tool module, and d k represents the weight of the kth action operation, e k Indicates the score of the kth behavioral operation; each behavioral operation corresponds to a type of smoking cessation influencing factor. Preferably, when the data acquisition path of a certain behavioral operation is based on objective evidence (such as the behavioral data of weight and its changing trend is obtained based on the statistical data of the smart weight scale), its corresponding score is higher than the behavioral operation where the user only fills in the data by himself.

[0063] The recording module is used to record the adverse reactions of the user during the smoking cessation process, as well as the user's past adverse reaction records.

[0064] The consultant terminal includes a customer information module, a user consultation module, a task module and a personal module.

[0065] The customer information module includes a case registration unit, a follow-up situation unit and a smoking information unit.

[0066] The case registration unit is used to check and verify the registration information filled in when the user registers the case; when there is abnormal data in the registration information, the case return operation is triggered; when the registration information is verified, the case lock operation is triggered. In this way, the consultant can easily query the case information of the associated user, and can intelligently verify the user's case information, return or lock the plan in time, and ensure the accuracy of the case data.

[0067] The follow-up status unit is used to view and evaluate the user's follow-up information, add or delete the user's follow-up plan; when the consultant determines that the follow-up information filled in by the user is abnormal, the follow-up information is returned and a modification label is added to the follow-up information. This setting can ensure the accuracy of the information, and the return of follow-up information and the addition of modification labels can provide users with a clear feedback channel, which helps to promote communication between users and service providers (consultants) and help improve the user experience.

[0068] The smoking information unit is used to view the user's personal identity information and the user's smoking-related information; the smoking-related information includes the user's smoking situation, the user's adverse reaction data during the smoking cessation process, the user's smoking addiction index, and the user's task formulation situation.

[0069] The user consultation module is used to receive consultation interaction information from the user side (specifically, consultation interaction information submitted by the user through the consultation module) and provide the consultant with input of answers.

[0070] The task module includes a task formulation unit, a task evaluation unit and a suggestion unit.

[0071] The task formulation unit is used to formulate a smoking cessation task for the user. The task evaluation unit is used to evaluate the user's smoking cessation task execution, and its evaluation method includes grade evaluation and text evaluation. The suggestion unit is used for the consultant to issue personalized suggestions to the user according to the user's situation.

[0072] When formulating a smoking cessation task, the consultant selects the task items to be formulated and sets the corresponding task indicators, including daily micro-tests, smoking management, weight management, blood pressure management, diet management, exercise management and medication management. The consultant can select one or more of them as the user's smoking cessation task. These task items interact with the daily micro-test module, as well as the smoking management unit, weight management unit, blood pressure management unit, diet management unit, exercise management unit and medication management unit in the health tool module.

[0073] The task indicators include task execution batches, task execution time periods, and specific indicators corresponding to various task items. For example, the specific indicator corresponding to the smoking management unit is the upper limit of the number of cigarettes a user may smoke per day.

[0074] Moreover, in the task formulation unit, the consultant can choose to create a smoking cessation task template or save an existing task (i.e., the currently formulated smoking cessation task) as a template. When formulating a smoking cessation task next time, the consultant can directly publish the created task template or the modified task based on the template to the user, which helps to improve the efficiency of smoking cessation task formulation and publication.

[0075] The personal module is used for consultants to register their careers and view and edit their personal information.

[0076] The intelligent smoking cessation management system provided in this embodiment, through the close collaboration between the user end and the consultant end, combined with the powerful support of the cloud server, provides modules such as self-testing of smoking addiction, daily micro-testing, health tools, consultation, smoking addiction index and records, which can comprehensively cover all aspects of the smoking cessation process, ensure data accuracy, personalized services and efficient management, and significantly improve the success rate of smoking cessation and user experience.

[0077] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field are aware of all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement the scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for the ordinary technicians in the relevant field to implement this application. It should be pointed out that for the technicians in this field, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent.

Claims

1. An intelligent smoking cessation management system, characterized in that: It includes an intelligent terminal and a cloud server that establish information interaction connection; the intelligent terminal includes a user terminal and an advisor terminal; the advisor terminal and the user terminal exchange data through the cloud server; The user terminal includes a smoking addiction self-test module, a daily micro-test module, a health tool module, a consultation module, a smoking addiction index module and a recording module; The smoking addiction self-test module is used to measure the smoking addiction degree of the user according to the preset quantitative rules and form smoking addiction quantitative data; The daily micro-test module is used to provide a self-test evaluation form and collect self-test data; the self-test evaluation form is generated based on key factors for quitting smoking; the key factors for quitting smoking include addiction factors and emotional factors; The health tool module is used to provide a recording grid of factors influencing smoking cessation, and record the factors influencing smoking cessation to form smoking cessation behavior data; The consultation module is used for the user to interact with the consultant terminal for consultation; The smoking addiction index module is used to count and visually display the user's current smoking addiction index data; The smoking addiction index data is calculated based on smoking addiction quantitative data, self-test data and smoking cessation behavior data; The recording module is used to record the adverse reaction data of the user during the smoking cessation process.

2. The intelligent smoking cessation management system according to claim 1, characterized in that: The consultant terminal includes a customer information module and a user consultation module; the customer information module includes a case registration unit, a follow-up unit and a smoking information unit; The case registration unit is used to check and verify the registration information filled in when the user registers the case; when there is abnormal data in the registration information, the case return operation is triggered; When the registration information is verified, the case locking operation is triggered; The follow-up status unit is used to view and evaluate the user's follow-up information, and to add or delete the user's follow-up plan; when the consultant determines that the follow-up information filled in by the user is abnormal, the follow-up information is returned and a modification tag is added to the follow-up information; The smoking information unit is used to view the user's personal identity information and the user's smoking-related information; the smoking-related information includes the user's smoking situation, the user's adverse reaction data during the smoking cessation process, the user's smoking addiction index, and the user's task formulation situation; The user consultation module is used to receive consultation interaction information from the user end and provide the consultant with input of answers.

3. The intelligent smoking cessation management system according to claim 2, characterized in that: The consultant terminal also includes a task module; the task module includes a task formulation unit, a task evaluation unit and a suggestion unit; The task formulation unit is used to formulate a smoking cessation task for the user; The task evaluation unit is used to evaluate the user's smoking cessation task execution status; The suggestion unit is used for the consultant to issue personalized suggestions to the user according to the user's situation.

4. The intelligent smoking cessation management system according to claim 1, characterized in that: The consultation module also includes an information uploading unit, a case filling unit and a case recording unit; The information uploading unit is used for users to register personal information, smoking-related information and smoking cessation-related information before a new round of smoking cessation treatment; the personal information includes the user's age, date of birth, and gender; the smoking cessation-related information includes the user's smoking history information and smoking cessation history information; The case filling unit is used to collect the user's health data, medication status, smoking cessation date and next follow-up time. The health data includes but is not limited to height, weight, blood pressure, exhaled breath CO measurement and nicotine dependence score; The case record unit is used to query historical case registration records, and each case registration is assigned a unique number to the case.

5. The intelligent smoking cessation management system according to claim 4, characterized in that: The consultation module also includes a smoking cessation follow-up unit, a user task unit and a consultant editing unit; The smoking cessation follow-up unit is used to conduct a phased evaluation of the user's smoking cessation status; The user task unit is used for users to view the feedback information of the consultant; the feedback information includes the smoking cessation task formulated by the consultant and the consultant's evaluation of the execution of the smoking cessation task; The consultant editing unit is used for users to add smoking cessation consultants, view consultants' detailed information, and query the suggestions provided by consultants.

6. The intelligent smoking cessation management system according to claim 1, characterized in that: The factors affecting smoking cessation include the user's daily smoking habits, the user's weight and its changing trend, the user's systolic blood pressure, diastolic blood pressure, heart rate and its changing trend, the user's dietary combination, dietary intake, dietary habits, the user's exercise and medication conditions; the user's daily smoking habits include the type of cigarettes inhaled, the number of cigarettes inhaled, the inhalation method, the smoking time, the recording time, and the recorder.

7. The intelligent smoking cessation management system according to claim 6, characterized in that: The number of inhaled roots is calculated using the following formula: In the formula, n represents the number of times the user smokes on that day, CT i Represents the coefficient corresponding to the type of cigarette smoked by the user for the i-th time on the day, IDI i Represents the coefficient corresponding to the user's inhalation method when smoking for the i-th time on the day.

8. The intelligent smoking cessation management system according to claim 1, characterized in that: The smoking addiction factor and emotional factor are obtained based on a five-level assessment; the five-level assessment includes five evaluation indicators that decrease in order from best to worst.

9. The intelligent smoking cessation management system according to claim 6, characterized in that: The smoking addiction self-test module collects basic smoking addiction data based on a questionnaire to measure the user's smoking addiction level; the questionnaire includes multiple self-test questions, and different options of each self-test question are assigned different scores; the self-test evaluation form in the daily micro-test module is assigned different scores for different key factors for quitting smoking.

10. The intelligent smoking cessation management system according to claim 9, characterized in that: The smoking addiction index data is calculated using the following formula: Among them, x and y represent the weight of the scores of self-test data and smoking cessation behavior data in the smoking addiction index, i represents the number of questions in the smoking addiction self-test module, p represents the total number of questions in the smoking addiction self-test module, and a i represents the score corresponding to the answer to the i-th question, j represents the factor number in the daily micro-test module, and b j represents the weight of the jth factor, c j represents the score of the jth factor, k represents the behavioral operation number in the health tool module, m represents the total number of behavioral operations in the health tool module, and d k represents the weight of the kth action operation, e k Represents the score of the kth behavioral operation; each behavioral operation corresponds to a type of smoking cessation influencing factor.

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