Intelligent system for blood pressure health assessment management

Abstract

The invention discloses an intelligent system for blood pressure health assessment management. The intelligent system comprises an intelligent terminal, an intelligent hardware end and a cloud server end, according to the method, factors influencing the blood pressure health of domestic people are screened, a fuzzy health evaluation result is quantified based on a DEMATEL-ANP fuzzy comprehensive evaluation model, the blood pressure health index is obtained, and meanwhile, the blood pressure management level index is obtained based on the daily management quality of a user on the blood pressure health of the user. According to the system, diversified health management tools are provided for the user, so that the self health management level of the user is improved, and the blood pressure health of the user is improved. The system is further provided with a consultant end, personalized task arrangement is carried out according to the evaluation result of the user, corresponding evaluation can be carried out according to the completion condition of the user, doctor-patient communication is increased, and the user is assisted to form a healthy lifestyle.

Description

Technical Field

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

[0002] Cardiovascular disease is the leading cause of death in my country, and hypertension is the primary factor in the incidence and mortality of cardiovascular diseases. As the chronic non-communicable disease with the largest number of patients in my country, the total number of people with hypertension aged 18 and above in my country has reached 244 million (diagnostic criteria of systolic blood pressure ≥140 mmHg and / or diastolic blood pressure ≥90 mmHg), with a crude prevalence of 27.9%, and it is showing an increasing trend year by year. Increased blood pressure levels have an independent and direct relationship with increased cardiovascular risk. In 2019, approximately 10.4 million people worldwide died from hypertension and various cardiovascular diseases caused by it, and huge amounts of medical expenses were invested in it. Hypertension has seriously endangered people's lives and health and brought an economic burden.

[0003] The onset of hypertension is often associated with multiple risk factors, including a high-sodium, low-potassium diet, obesity, excessive alcohol consumption, chronic mental stress, and family heredity. Many of these risk factors are linked to long-term, unhealthy lifestyle habits. The lack of obvious early symptoms in hypertension often leads people to underestimate or even neglect prevention efforts. Even among those already diagnosed with hypertension, hypertension control is suboptimal. Hypertension prevention and treatment in my country exhibits "three lows": low awareness, low treatment, and low control rates. One reason for these "three lows" is poor patient awareness of self-management of blood pressure. Both pharmacological and non-pharmacological treatments extend beyond in-hospital clinical care and rely heavily on patient adherence to treatment in their daily lives outside the hospital. This adherence requires not only long-term medication but also consistent improvement of lifestyle habits. This presents a significant challenge to patients' self-control, and patient compliance with interventions requiring long-term adherence is often low. Furthermore, in traditional diagnosis and treatment models, physicians are limited by time and space, unable to track and monitor patient compliance with medical advice, unable to provide timely and effective feedback, and often exhibit clinical inertia in hypertension treatment. These factors, combined, contribute to suboptimal hypertension control rates. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent blood pressure health assessment and management system, including: an intelligent terminal and a cloud server.

[0005] The intelligent terminal includes a user terminal.

[0006] The user terminal includes a blood pressure health self-test module, a blood pressure influencing factor high-frequency self-test module, and a blood pressure health intervention module.

[0007] The blood pressure health self-test module is used to collect the blood pressure health data of users, facilitating the obtaining of the basic assessment score of the users' blood pressure health.

[0008] The high-frequency self-test module for blood pressure influencing factors is used for users to self-test and evaluate the risk factors of hypertension, obtain self-test data, and transmit them to the blood pressure health data processing module through the data transmission module.

[0009] The blood pressure health intervention module is used for users to intervene in the prevention and control of hypertension, obtain intervention behavior data, and transmit them to the blood pressure health data processing module through the data transmission module.

[0010] The cloud server side includes a blood pressure health data processing module, a data transmission module, and a data storage module.

[0011] The blood pressure health data processing module includes a blood pressure health assessment index calculation module and a blood pressure health index calculation module.

[0012] The blood pressure health assessment index calculation module calculates the basic assessment score of the users' blood pressure health based on the blood pressure health data of the users collected by the blood pressure health self-test module.

[0013] The blood pressure health index calculation module calculates the blood pressure health index and level of the users through the basic assessment score of blood pressure health, self-test data, and intervention behavior data.

[0014] The data transmission module is used for data interaction with the intelligent terminal.

[0015] The data storage module is used for storing the data of the intelligent terminal and the cloud server side.

[0016] Furthermore, the blood pressure health data processing module further includes a blood pressure management level assessment index calculation module and a blood pressure management level index calculation module.

[0017] The blood pressure management level assessment index calculation module is used to calculate the basic assessment score of the users' blood pressure management level based on the blood pressure health data of the users collected by the blood pressure health self-test module.

[0018] The blood pressure management level index calculation module calculates the blood pressure management level index and level of the users through the basic assessment score of blood pressure management level, self-test data, and intervention behavior data.

[0019] Furthermore, the intelligent terminal further includes an advisor end.

[0020] The advisor end includes a customer management module, a user message reminder module, a personal center module, a science popularization content creation module, a user incentive setting module, and an intelligent advisor module.

[0021] The customer management module includes a module for querying my customer information, a module for issuing suggestions, a module for formulating task plans, a module for evaluating tasks, and a user consultation module.

[0022] The module for querying my customer information is used to record information of different users, and the information includes personal information of customers, blood pressure health index, current task status and task details.

[0023] The task details include basic information of the task and a task menu.

[0024] The module for issuing suggestions is for consultants to issue suggestions to users, and the suggestions include but are not limited to psychology, nutrition, sleep and exercise.

[0025] The module for formulating task plans is used to formulate management tasks for users.

[0026] The module for formulating task plans includes a task item selection module, a duration selection module, a frequency selection module, a precautions module, and a task template module.

[0027] The task item selection module includes one or more of the following item combinations: high-frequency self-test items for blood pressure influencing factors, blood pressure management items, diet management items, exercise management items, medication management items, sleep management items, weight management items, breathing decompression items, smoking cessation management items, alcohol abstinence management items, psychological management items, health knowledge learning items, and health knowledge assessment items.

[0028] The duration selection module is used to formulate the number of time periods required for users to execute tasks.

[0029] The frequency selection module is used to select the frequency of task execution.

[0030] The precautions module is used to elaborate on the precautions during the execution of each task.

[0031] The task template module includes a task template formulation module and a task plan formulation module based on the template.

[0032] The task template formulation module is for consultants to customize their own exclusive task templates and transmit the formulated templates to the data storage module for storage through the data transmission module.

[0033] The task plan formulation module based on the template is for consultants to retrieve the previously formulated templates and formulate task plans on the basis of the templates.

[0034] The module for evaluating tasks is for consultants to conduct text evaluations and grade evaluations on the task execution situations of users.

[0035] The user consultation module is for consultants to reply to the questions consulted by users.

[0036] The information reminder module for user messages is used to remind the consultant that new messages have been delivered. The types of new messages include task end reminder, consultation information reminder, consultant addition reminder, and customer evaluation reminder.

[0037] The personal center module is used for professional registration, viewing, and editing personal information.

[0038] The science popularization content creation module includes a push module and a sharing module.

[0039] The push module is used for the consultant to create health science popularization content and push the created content to the user terminal through the data transmission module. The content forms include text, video, pictures, and links. The pushed content will also be synchronously stored in the data storage module.

[0040] The sharing module is used for the consultant to share the created health science popularization content to various platforms.

[0041] The user incentive setting module is used for the consultant to set incentive measures given by the system when the user completes various specified health tasks. The incentive measures include but are not limited to point rewards, playing set sound effects, popping up custom pop - ups, and distributing virtual asset red envelopes.

[0042] The intelligent consultant module is used to provide the user with an intelligent AI consultant different from human consultants. Whether the user adds a human consultant or not, the health information filled in by the user can be transmitted through the data transmission module to the intelligent management module under the blood pressure health data processing module for processing, generating personalized diet and exercise management plans and corresponding task plans, and being transmitted to the user terminal through the data transmission module for display.

[0043] Furthermore, the intelligent terminal also includes a switching module and an integration module.

[0044] The user terminal and the consultant terminal are switched through the switching module.

[0045] The user terminal, the consultant terminal, and the switching module are encapsulated in the integration module.

[0046] The user terminal and the consultant terminal exist on different intelligent terminals respectively.

[0047] The user terminal and the consultant terminal operate independently and communicate with the cloud server terminal respectively.

[0048] Furthermore, the user terminal also includes a consultant management information module, an intelligent consultant management information module, an incentive module, a blood pressure index module, and a slogan setting module.

[0049] The said consultant management information module includes a consultant query and addition module, a consultant information query and evaluation module, a consultant advice display module, a consultant consultation desk module, a task management module, and a reminder module for information sent by consultants.

[0050] The said consultant query and addition module is used for adding consultants.

[0051] The said consultant information query and evaluation module includes the personal information of consultants, the importance level of consultants, and service evaluation options.

[0052] The said consultant advice display module is used to view the advice given by consultants and diet and exercise prescriptions.

[0053] The said consultant consultation desk module is used to consult health problems related to consultants and view the consultation replies of consultants.

[0054] The said task management module includes a my task query and display module and a task evaluation query and display module.

[0055] The said my task query and display module is used to display the tasks of users and the task completion status.

[0056] The said task evaluation query and display module is used to view the evaluation of the tasks completed by consultants on themselves.

[0057] The said user information reminder module is used to display reminder information sent by consultants, and the message types include task assignment reminders, task evaluation reminders, consultation reply reminders, and advice release reminders.

[0058] The said intelligent consultant management information module includes a management plan intelligent generation module and a reminder module.

[0059] The said management plan intelligent generation module is used to display the personalized diet and exercise management plans and corresponding task plans transmitted by the intelligent consultant module through the data transmission module.

[0060] The said reminder module is used for users to set the content of health tasks and task reminder times for themselves, and remind users to complete tasks on time. The content of health tasks includes but is not limited to physical examinations, taking medicine, and data recording. The reminder methods include but are not limited to APP push, SMS reminder, and ringtone reminder.

[0061] The said reminder module imports the tasks in the task query and display module into the reminder schedule to remind users of tasks.

[0062] The said incentive module is used for users to customize incentive measures when completing health tasks. The incentive measures include but are not limited to point rewards, playing set sound effects, popping up custom pop-ups, and distributing virtual asset red envelopes.

[0063] The blood pressure index module includes an index display module, an index history record module, and a warning module.

[0064] The index display module is used to display the user's final blood pressure health index and final blood pressure management level index, as well as the development trends of both.

[0065] The index history record module is used to display the user's daily real-time dynamic blood pressure health index, blood pressure management level index, and the corresponding change trends.

[0066] The warning module is used to set the blood pressure management reminder threshold.

[0067] When the user's blood pressure management level index is lower than the set threshold, the warning module will send reminder messages to the user's terminal and the relatives and friends terminals bound by the user, reminding the user to actively manage their blood pressure. The reminder methods include but are not limited to APP background push messages and sending text messages.

[0068] The slogan setting module is used for the user to set and display self-motivation slogans for blood pressure management. The slogan forms include but are not limited to text, pictures, and voices.

[0069] Furthermore, the blood pressure health self-test module includes a blood pressure health data collection module, an evaluation result display module, and a hypertension-related disease risk assessment module.

[0070] The blood pressure health data collection module includes a disease history collection module, a physical health collection module, a mental health collection module, a lifestyle collection module, an environmental factor collection module, and a health literacy collection module.

[0071] The disease history collection module is used to collect the user's disease history data.

[0072] The physical health collection module is used to collect the user's physical data.

[0073] The mental health collection module is used to collect the user's mental health data.

[0074] The lifestyle collection module is used to collect the user's lifestyle information.

[0075] The environmental factor collection module is used to collect the user's environmental information.

[0076] The health literacy collection module is used to collect the user's health literacy information.

[0077] The data collected by the blood pressure health data collection module is transmitted to the blood pressure health data processing module through the data transmission module, obtaining the basic data of the user's blood pressure health and blood pressure management level, and is transmitted to the evaluation result display module through the data transmission module for display.

[0078] The described evaluation result display module includes a blood pressure health module and a blood pressure management level module.

[0079] The blood pressure health module is used to display the basic evaluation score of the user's blood pressure health index.

[0080] The blood pressure management level module is used to display the basic evaluation score of the user's blood pressure management level index and the prevention and control key indicators. The prevention and control key indicators are calculated by the blood pressure management level evaluation index calculation module.

[0081] The hypertension-related disease risk assessment module includes a stroke risk assessment module, a coronary heart disease risk assessment module, a myocardial infarction risk assessment module, and a chronic kidney disease risk assessment module.

[0082] The stroke risk assessment module is used to rate the risk of stroke for the user.

[0083] The coronary heart disease risk assessment module is used to rate the risk of coronary heart disease for the user.

[0084] The myocardial infarction risk assessment module is used to rate the risk of myocardial infarction for the user.

[0085] The chronic kidney disease risk assessment module is used to rate the risk of chronic kidney disease for the user.

[0086] Furthermore, the cloud server side also includes a data mining module.

[0087] The data mining module is used to integrate and analyze the basic evaluation score of blood pressure health, self-test data, and intervention behavior data, and assign corresponding user scores to each self-test or intervention behavior of the user according to the analysis results.

[0088] The blood pressure influencing factor high-frequency self-test module includes a factor recording module, a factor increasing and decreasing module, and a factor sorting module.

[0089] The factor recording module includes a lifestyle assessment module, a bad behavior assessment module, and a mental health assessment module.

[0090] The lifestyle assessment module, the bad behavior assessment module, and the mental health assessment module are respectively set with weights ω Fls 、ω Fbb 、ω Fmh 。

[0091] The lifestyle assessment module includes a grease amount assessment module, a salt amount assessment module, an exercise amount assessment module, and a sleep assessment module.

[0092] The grease amount assessment module is obtained by the user's hierarchical assessment of the grease amount ingested by himself on the same day.

[0093] The salt intake assessment module is obtained by the user's hierarchical assessment of the salt content of the food consumed on the same day.

[0094] The exercise amount assessment module is obtained by the user's hierarchical assessment of the exercise amount on the same day.

[0095] The sleep assessment module is obtained by the user's hierarchical assessment of sleep according to the sleep condition on the same day.

[0096] The oil amount assessment module, the salt intake assessment module, the exercise amount assessment module, and the sleep assessment module are respectively set with weights ω fgr 、ω fsa 、ω fex 、ω fsl , and the names of the user scores are p fgr 、p fsa 、p fex 、p fsl 。

[0097] The bad behavior assessment module includes a smoking assessment module and a drinking assessment module.

[0098] The smoking assessment module is obtained by the user's hierarchical assessment of smoking according to the smoking condition on the same day.

[0099] The drinking assessment module is obtained by the user's hierarchical assessment of drinking according to the drinking condition on the same day.

[0100] The smoking assessment module and the drinking assessment module are respectively set with weights ω fci 、ω fal , and the names of the user scores are p fci 、p fal 。

[0101] The mental health assessment module includes an emotion assessment module and a stress assessment module.

[0102] The emotion assessment module is obtained by the user's hierarchical assessment of emotions according to the mood condition on the same day.

[0103] The stress assessment module is obtained by the user's hierarchical assessment of stress according to the stress condition on the same day. The hierarchical assessment method is selected by the user and includes three-level assessment, five-level assessment, and seven-level assessment.

[0104] The emotion assessment module and the stress assessment module are respectively set with weights ω fem 、ω Fpr , and the names of the user scores are p fem 、p fpr 。

[0105] The factor increase / decrease module is used to allow users to add or delete factors with high-frequency records.

[0106] The factor sorting module is used to sort the factors with high-frequency records.

[0107] The factor sorting module includes an intelligent sorting module and a manual sorting module.

[0108] The intelligent sorting module sorts according to the weight ω of the factors of each high-frequency record f from large to small. The weight ω f is preset by the system.

[0109] The manual sorting module is used to allow users to manually set the sorting of the factors of high-frequency records.

[0110] The calculation steps of the self-test data are as follows:

[0111] a1) Calculate the scores s of each evaluation module at the lowest level through a formula or formula f .

[0112] s f = ω f f f (1)

[0113]

[0114] In the formula, s f is the score of a single evaluation module at the lowest level, ω f is the weight set for a single evaluation module at the lowest level; f f is the recording frequency of a single evaluation module at the lowest level within the time period t. A single evaluation module at the lowest level is any one of the oil quantity evaluation module, salt quantity evaluation module, exercise quantity evaluation module, sleep evaluation module, smoking evaluation module, drinking evaluation module, emotion evaluation module, and stress evaluation module. r is the number of times the user records in a single evaluation module at the lowest level within the time period t, and p fi is the user score of the i-th record of the user in a single evaluation module at the lowest level within a certain time period of the user.

[0115] a2) Calculate the single-module scores of the lifestyle evaluation module, bad behavior evaluation module, and mental health evaluation module, that is:

[0116]

[0117] Among them, s F represents the score of a single evaluation module at the next lower level, m is the number of evaluation modules at the lowest level under this evaluation module, ω f refers to the weight set for a single evaluation module at the lowest level, s fRepresents the score of the lowest-level single evaluation module. A lower-level single evaluation module refers to any one of the lifestyle evaluation module, the bad behavior evaluation module, and the mental health evaluation module.

[0118] a3) Calculate the self-test data, that is:

[0119]

[0120] Among them, S F represents the self-test data, ω F represents the weight of the lower-level single evaluation module, and s F represents the score of the lower-level single evaluation module.

[0121] Furthermore, the cloud server side further includes a data mining module.

[0122] The data mining module assigns corresponding user scores to each user intervention behavior based on the intervention behavior data recorded by the user.

[0123] The blood pressure health intervention module includes an intervention tool record module, an intervention tool sorting module, and an intervention tool addition and subtraction module.

[0124] The intervention tool record module includes a basic physiological parameter record module, a lifestyle management module, a bad habit management module, a health literacy cultivation module, and a mental health module.

[0125] The basic physiological parameter record module, the lifestyle management module, the bad habit management module, the health literacy cultivation module, and the mental health module are respectively set with weights ω Fpp 、ω Tls 、ω Tbb 、ω Thl 、ω Tmh .

[0126] The basic physiological parameter record module includes a blood pressure record module and a weight record module.

[0127] The blood pressure record module is used to record the user's high blood pressure, low blood pressure, heart rate, and recent change trends, and manage the user's blood pressure. The methods for obtaining the user's blood pressure data include manual entry, smart hardware Bluetooth transmission, picture recognition, and voice recognition. In addition, the user can also record the measurement site, measurement instrument, measurement location, recording personnel, measuring personnel, measurement time, and remarks.

[0128] The weight record module is used to record the user's weight and the change trend of the weight, and manage the user's weight.

[0129] The blood pressure record module and the weight record module are respectively set with weights ω tbp 、ωtbw , the names of the user scores are p tbp and p tbw .

[0130] The lifestyle management module includes a diet record module, an exercise record module, a sleep record module, and a medication management module.

[0131] The diet record module is used to record the user's diet combination, diet intake, eating habits, and manage the user's diet.

[0132] The exercise record module is used to record the user's exercise situation and the corresponding exercise level, and manage the user's exercise.

[0133] The sleep record module is used to record the user's sleep situation and manage the user's sleep.

[0134] The medication management module is used to record the user's medication situation and manage the user's medication.

[0135] The diet record module, exercise record module, sleep record module, and medication management module are respectively set with weights ω tdi and ω tex and ω tsl and ω tme , the names of the user scores are p tdi and p tex and p tsl and p tme .

[0136] The bad habit management module includes a smoking cessation module and an alcohol abstinence module.

[0137] The smoking cessation module is used to record the user's smoking data and assist the user in implementing a smoking cessation plan.

[0138] The alcohol abstinence module is used to record the user's drinking data and assist the user in implementing an alcohol abstinence plan.

[0139] The smoking cessation module and the alcohol abstinence module are respectively set with weights ω tci and ω tal , the names of the user scores are p tci and p tal .

[0140] The health literacy cultivation module includes a health knowledge learning module and a health knowledge assessment module.

[0141] The health knowledge learning module is used to display health knowledge related to hypertension in the cloud server for the user to learn.

[0142] The health knowledge assessment module is used to test the knowledge learned by the user in the health knowledge learning module.

[0143] The health knowledge learning module and the health knowledge assessment module are respectively set with weights ω tle 、ω tte , and the names of the user scores are p tle 、p tte .

[0144] The mental health module includes a breathing decompression module and a psychological management module.

[0145] The breathing decompression module is used to assist the user in performing deep breathing decompression training alone or in combination with intelligent hardware, and record the training data.

[0146] The psychological management module is used to record the user's psychological condition and manage the user psychologically.

[0147] The breathing decompression module and the psychological management module are respectively set with weights ω tbs 、ω tmm , and the names of the user scores are p tbs 、p tmm .

[0148] The intervention tool sorting module is used to sort the intervention tools.

[0149] The intervention tool sorting module includes an automatic sorting module and a manual sorting module.

[0150] The automatic sorting module sorts according to the weights ω t of each blood pressure health intervention tool from large to small, and the weights ω t are preset by the system.

[0151] The manual sorting module is used for the user to manually set the sorting of the blood pressure health intervention tools according to their own needs.

[0152] The intervention tool adding and subtracting module is used for the user to add or subtract the blood pressure health intervention tools in the intervention tool recording module according to their own needs.

[0153] The calculation steps of the intervention behavior data are as follows:

[0154] b1) Calculate the scores of each intervention tool module at the lowest level through the formula or formula.

[0155] s t =ω t f t (5)

[0156]

[0157] where s t is the score of a single intervention tool module at the lowest level, ω t is the weight set for a single intervention tool module at the lowest level, f t is the recording frequency of a single intervention tool module at the lowest level within the time period t. A single intervention tool module at the lowest level refers to any one of the blood pressure recording module, weight recording module, diet recording module, exercise recording module, sleep recording module, medication management module, smoking cessation module, alcohol abstinence module, health knowledge learning module, health knowledge assessment module, breathing blood pressure reduction module, and psychological management module. r is the number of times the user records in a single intervention tool module at the lowest level within the time period t, p ti is the user score of the user's i-th record in a single intervention tool module at the lowest level.

[0158] b2) Calculate the single module scores of the basic physiological parameter recording module, lifestyle management module, bad habit management module, health literacy cultivation module, and mental health module, that is:

[0159]

[0160] where s T represents the score of a single intervention tool module at a relatively lower level, n is the number of intervention tool modules at the lowest level under this intervention tool module, ω t refers to the weight set for a single intervention tool module at the lowest level, s t represents the score of a single intervention tool module at the lowest level. A single intervention tool module at a relatively lower level refers to any one of the basic physiological parameter recording module, lifestyle management module, bad habit management module, health literacy cultivation module, and mental health module.

[0161] b3) Calculate the intervention behavior data, that is:

[0162]

[0163] where S T represents the intervention behavior data, ω T represents the weight of a single intervention tool module at a relatively lower level, s T represents the score of a single intervention tool module at a relatively lower level.

[0164] Furthermore, it also includes the intelligent hardware side.

[0165] The intelligent hardware side includes a data monitoring module, a data display module, and a wireless transmission module.

[0166] The data monitoring module of the intelligent module is used to monitor the user's blood pressure, exercise, weight, sleep, and slow breathing training data, and send the data to the blood pressure recording module, weight recording module, exercise recording module, sleep recording module, and breathing blood pressure reduction module through the wireless transmission module for recording. The intelligent hardware includes but is not limited to intelligent sphygmomanometers, intelligent weighing scales, breathing blood pressure reduction devices, intelligent pedometers, smart watches, and smart bracelets.

[0167] Furthermore, the blood pressure health assessment index calculation module includes a data preprocessing module, a weight assignment module, a health level assessment module, and a function mapping module.

[0168] The data preprocessing module normalizes and standardizes the data collected by the blood pressure health data acquisition module to obtain standard data, and transmits the standard data to the weight assignment module and the weight re-assignment module.

[0169] The blood pressure management level assessment index calculation module includes a weight re-assignment module, a management level assessment module, and an index calculation module.

[0170] The weight re-assignment module is used to customize the weights of the first-level indicators of the system, restricting the sum of the weights of the disease history indicator and the physical health indicator to be between 5% and 20%, and the sum of the weights of the mental health, lifestyle, environmental factors, and health literacy indicators to be between 80% and 95%.

[0171] The management level assessment module obtains the blood pressure management level grade and the blood pressure management level assessment index through the weights output by the weight re-assignment module.

[0172] The blood pressure management level assessment index calculation module calculates the user's blood pressure management weaknesses, and transmits the calculated prevention and control key indicators to the blood pressure management level assessment module through the data transmission module for display.

[0173] The steps for the weight assignment module to process the standard data are as follows:

[0174] c1) Construct the interaction and influence relationship between each blood pressure health indicator through the Decision Making Trial and Evaluation Laboratory method or the Fuzzy Interpretive Structural Modeling method.

[0175] c2) Use the Analytic Network Process (ANP) network structure to determine the relative weights of each blood pressure health indicator. The steps are as follows:

[0176] c21) Analyze the problems of blood pressure health, and obtain the mutual influence relationship between elements by combining elements into element groups or decomposing problems into elements.

[0177] c22) Construct the ANP network structure.

[0178] c23) According to the ANP network structure diagram, an unweighted supermatrix is obtained.

[0179] c24) The unweighted supermatrix is weighted to obtain a weighted supermatrix.

[0180] c25) Calculate the Cesaro sum limit of the weighted supermatrix to obtain the limit matrix.

[0181] c3) If the sum of the weights of the disease history index and the physical health index is between 50% and 80%, and the sum of the weights of the mental health, lifestyle, environmental factors, and health literacy indexes is between 20% and 50%, then end. Otherwise, return to step c).

[0182] The health level evaluation module obtains the blood pressure health level and the blood pressure health evaluation index through the weights output by the weight assignment module. The steps are as follows:

[0183] d1) Divide the levels and establish an evaluation set V as follows:

[0184] V = {V1, V2, …, V n} (9)

[0185] Among them, V i (i = 1, 2, …, n) represents various possible evaluation results, and i is the result number.

[0186] d2) Select the evaluation factors and construct an index set U as follows:

[0187] U = {U1, U2, …, U n} (10)

[0188] Among them, U i (i = 1, 2, …, n) represents the primary index of the system, which may also include the secondary index u i .

[0189] d3) Conduct single-index evaluation and establish a fuzzy evaluation matrix R. R is composed of the membership degrees of each index as follows:

[0190]

[0191] In the formula, where R i = (r i1 , r i2 , …, r in ) is the evaluation vector of the index u i , and r ij represents the membership degree of the index u i with respect to the evaluation set v j .

[0192] d4) According to the importance of the indicators, assign weights k i to each indicator u i , and obtain the indicator weight set as follows:

[0193] K = {k1, k2, …, k m}(12)

[0194] d5) Apply the fuzzy mathematical operation theory operator to evaluate the system status, and obtain the vector element group B, that is:

[0195] B = {b1, b2, …, b n} = K·R(13)

[0196] where bi i (i = 1, 2, …, n) represents the fuzzy comprehensive judgment index, and “·” is the fuzzy composition operator. The product and bounded type fuzzy composition operators are adopted, and the calculation formula is as follows:

[0197]

[0198] d6) Normalize the vector element group B and analyze the system evaluation results.

[0199] The normalized vector element group B is as follows:

[0200]

[0201] d7) The function mapping module assigns weights x1, x2, x3, …, x n to each comment of the evaluation set V respectively, and obtains the blood pressure health evaluation index Y according to the following formula:

[0202]

[0203] d8) The blood pressure health index calculation module converts the basic data, self-measured data and intervention behavior data into the final blood pressure health index through the following formula:

[0204] BPHI = x·Y + y·S F + z·S T (17)

[0205] where x, y, and z respectively represent the weight ratios of the scores of the blood pressure health data collection module, the high-frequency self-measurement module of blood pressure influencing factors, and the blood pressure health intervention module in the blood pressure health index. The sum of y and z is less than x. Y represents the blood pressure health evaluation index Y calculated by the blood pressure health evaluation index calculation module, S F represents the self-measured data, and S T represents the intervention behavior data.

[0206] The management level evaluation module obtains the blood pressure management level grade and the blood pressure management level evaluation index through the weights output by the weight re-assignment module. The steps are as follows:

[0207] e1) Divide the grades and establish the evaluation set E as follows:

[0208] E = {E1, E2, …, E n}(18)

[0209] where E i (i = 1, 2, …, n) represents various possible evaluation results, and i is the result number.

[0210] e2) Select the evaluation factors and construct the index set U as follows:

[0211] U = {U1, U2, …, U n}(19)

[0212] where U i (i = 1, 2, …, n) represents the first-level indicators of the system, which may also include the second-level indicators u i .

[0213] e3) Conduct single-index evaluation and establish the fuzzy evaluation matrix R. R is composed of the membership degrees of each index as follows:

[0214]

[0215] In the formula, where R i = (r i1 , r i2 , …, r in ) is the evaluation vector of the index u i , and r ij represents the membership degree of the index u i with respect to the evaluation set v j .

[0216] e4) According to the importance of the indicators, assign weights p i to each indicator u i , and obtain the index weight set as follows:

[0217] P = {p1, p2, …, p m}(21)

[0218] e5) Use the fuzzy mathematical operation theory operator to evaluate the system status and obtain the vector element group C, that is:

[0219] C = {c1, c2, …, c n}} = P · R(22)

[0220] where c i represents the fuzzy comprehensive judgment index, and "·" is the fuzzy composition operator. i = 1, 2, …, n.

[0221] The fuzzy comprehensive judgment index is as follows:

[0222]

[0223] e6) Normalize the vector element group C, analyze the system evaluation results, and the comment corresponding to the highest membership degree is the most likely system evaluation.

[0224] The normalized vector element group C is as follows:

[0225]

[0226] e7) The index calculation module assigns a weight to each comment in the evaluation set E, which are respectively assigned as e1, e2, e3, …, e n , and obtains the blood pressure management level evaluation index Z according to the following formula, that is, the basic data of the blood pressure management level index, and transmits the basic data to the blood pressure management level index calculation module:

[0227]

[0228] e8) The blood pressure management level index calculation module converts the basic data, self-measured data, and intervention behavior data into the final blood pressure management level index through the following method.

[0229] BPMI = α·Z + β·S E + γ·S T (26)

[0230] where BPMI is the blood pressure management level index, α, β, and γ respectively represent the weight ratios of the scores of the blood pressure health data acquisition module, the high-frequency self-measurement module of blood pressure influencing factors, and the blood pressure health intervention module in the blood pressure management level index, Z represents the blood pressure health evaluation index calculated by the blood pressure health evaluation index calculation module, S F represents the self-measured data, S T represents the intervention behavior data.

[0231] The steps for the blood pressure management level evaluation index calculation module to calculate the prevention and control key indicators are as follows:

[0232] f1) According to the standard data obtained by the preprocessing module, establish the original data matrix:

[0233] X i =[x i1 x i2 … x in(i = 1, 2, … m) (27)

[0234] In the formula, X i is the standard data matrix of the first-level index U i , and x ij is the standard data corresponding to the j-th second-level index u i under the first-level index U ij .

[0235] f2) Confirm the optimal and worst cases:

[0236]

[0237]

[0238] In the formula, is the optimal case vector of the first-level index U i , and a ij is the standard data in the optimal case of the index u ij . is the worst case vector of the first-level index U i , and b ij is the standard data in the worst case of the index u ij .

[0239] f3) Calculate the distance C between each first-level index and the worst case i :

[0240]

[0241]

[0242]

[0243] In the formula, is the degree of closeness between the first-level index U i and the optimal case, is the degree of closeness between the first-level index U i and the worst case, and ω ij is the weight assigned to the index u ij by the weight re-assignment module.

[0244] f4) The index corresponding to the minimum C i is the key prevention and control index.

[0245] The technical effects of the present invention are beyond doubt. The present invention proposes a "blood pressure health index" to predict an individual's long-term blood pressure health status based on the selected influencing factors of the Chinese people's blood pressure. In view of the problem that users have poor awareness of self-blood pressure management, the present invention proposes a "blood pressure management level index" to quantitatively evaluate an individual's blood pressure management ability and encourage users to improve their self-health management level, thereby improving their own blood pressure health status. BRIEF DESCRIPTION OF THE DRAWINGS

[0246] Figure 1 It is a framework diagram of the blood pressure health index calculation system of the present invention;

[0247] Figure 2 It is a framework diagram of the blood pressure management level index calculation system of the present invention;

[0248] Figure 3 It is a framework diagram of the index calculation system of the present invention;

[0249] Figure 4 It is a framework diagram of the user terminal system of the present invention;

[0250] Figure 5 It is a framework diagram of the advisor terminal system of the present invention;

[0251] Figure 6 It is a framework diagram of the integrated module of the present invention;

[0252] Figure 7 It is a framework diagram of the cloud server terminal of the present invention;

[0253] Figure 8 It is a framework diagram of the blood pressure health self-test module of the present invention;

[0254] Figure 9 It is a framework diagram of the data collection module of the present invention;

[0255] Figure 10 It is a framework diagram of the high-frequency self-test module for blood pressure influencing factors of the present invention;

[0256] Figure 11 It is a framework diagram of the factor recording module of the present invention;

[0257] Figure 12 It is a framework diagram of the blood pressure health intervention module of the present invention;

[0258] Figure 13 It is a framework diagram of the relatively frequently used module in the intervention tool recording module of the present invention;

[0259] Figure 14 It is a framework diagram of the intervention tool recording module of the present invention;

[0260] Figure 15 It is a framework diagram of the advisor management information module of the present invention;

[0261] Figure 16 This is the framework diagram of the intelligent advisor management information module of the present invention;

[0262] Figure 17 This is the framework diagram of the task planning module of the present invention;

[0263] Figure 18 This is the framework diagram of the blood pressure health assessment index calculation module of the present invention;

[0264] Figure 19 This is the framework diagram of the blood pressure management level assessment index calculation module of the present invention;

[0265] Figure 20 This is the flow chart of the blood pressure health index calculation of the present invention;

[0266] Figure 21 This is the working flow chart of the network analytic hierarchy process system of the present invention;

[0267] Figure 22 This is the working flow chart of the fuzzy comprehensive evaluation system of the present invention;

[0268] Figure 23 This is the flow chart of the blood pressure management level index calculation of the present invention;

[0269] Figure 24 This is the flow chart of the calculation of the key prevention and control points of the present invention;

[0270] Figure 25 This is the flow chart of the blood pressure management at the user end of the present invention. Detailed implementation manners

[0271] The present invention will be further described below in conjunction with embodiments, but it should not be understood that the above-mentioned subject scope of the present invention is limited to the following embodiments. Without departing from the above-mentioned technical idea of the present invention, various substitutions and modifications made according to ordinary technical knowledge and conventional means in the art shall be included within the protection scope of the present invention.

[0272] Embodiment 1:

[0273] Refer to Figures 1 to 25 , a blood pressure health assessment and management intelligent system, comprising: an intelligent terminal 1 and a cloud server terminal 2;

[0274] The intelligent terminal 1 includes a user terminal 3;

[0275] The user terminal 3 includes a blood pressure health self-test module 31, a high-frequency self-test module 32 for blood pressure influencing factors, and a blood pressure health intervention module 33;

[0276] The blood pressure health self-test module 31 is used to collect the blood pressure health data of users, so as to obtain the basic assessment score of the users' blood pressure health;

[0277] The high-frequency self-test module 32 for blood pressure influencing factors is used for users to simply and frequently self-test and evaluate the risk factors of hypertension to obtain self-test data;

[0278] The blood pressure health intervention module 33 includes a variety of health tools, which are used for users to intervene in the prevention and control of hypertension to obtain intervention behavior data;

[0279] The cloud server 2 includes a blood pressure health data processing module 21, a data transmission module 22, and a data storage module 23;

[0280] The blood pressure health data processing module 21 includes a blood pressure health assessment index calculation module 211 and a blood pressure health index calculation module 213;

[0281] The blood pressure health assessment index calculation module 211 is used to calculate the basic assessment score of the users' blood pressure health based on the blood pressure health data collected by the blood pressure health self-test module 31;

[0282] The blood pressure health index calculation module 213 calculates the blood pressure health index and level of the user through the basic assessment score of blood pressure health, self-test data, and intervention behavior data;

[0283] The data transmission module 22 is used for data interaction with the intelligent terminal 1;

[0284] The data storage module 23 is used to store the data of the intelligent terminal 1 and the cloud server 2.

[0285] Embodiment 2:

[0286] A blood pressure health assessment and management intelligent system, the technical content is the same as that of Embodiment 1. Further, the blood pressure health data processing module 21 further includes a blood pressure management level assessment index calculation module 212 and a blood pressure management level index calculation module 214;

[0287] The blood pressure management level assessment index calculation module 212 is used to calculate the basic assessment score of the users' blood pressure management level based on the blood pressure health data collected by the blood pressure health self-test module 31;

[0288] The high-frequency self-test module 32 for blood pressure influencing factors is used for users to simply and frequently self-test and evaluate the risk factors of hypertension to obtain self-test data;

[0289] The blood pressure health intervention module 33 includes a variety of health tools, which are used for users to intervene in the prevention and control of hypertension to obtain intervention behavior data;

[0290] The blood pressure management level index calculation module 214 calculates the user's blood pressure management level index and grade based on the basic assessment score of the blood pressure management level, self-test data, and intervention behavior data.

[0291] Embodiment 3:

[0292] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Embodiments 1-2. Further, the intelligent terminal 1 further includes an advisor terminal 4;

[0293] The advisor terminal 4 includes a customer management module 41, a user information reminder module 42, and a personal center module 43;

[0294] The customer management module 41 includes a my customer information query module 411, a recommendation publishing module 412, a task plan formulation module 413, a task evaluation module 414, and a user consultation module 415;

[0295] The my customer information query module 411 is used to record information of different users, and the information includes the customer's personal information, blood pressure health index, current task status, and task details;

[0296] The task details include the basic information of the task and the task menu;

[0297] The recommendation publishing module 412 is for the advisor to publish recommendations to the user, and the recommendations include but are not limited to psychology, nutrition, sleep, and exercise;

[0298] The task plan formulation module 413 is used to formulate management tasks for the user;

[0299] The task plan formulation module 413 includes a task item selection module 4131, a duration selection module 4132, a frequency selection module 4133, a precautions module 4134, and a task template module 4135;

[0300] The task item selection module 4131 includes one or more of the following item combinations: high-frequency self-test items for blood pressure influencing factors, blood pressure management items, diet management items, exercise management items, medication management items, sleep management items, weight management items, breathing decompression items, smoking cessation management items, alcohol abstinence management items, psychological management items, health knowledge learning items, and health knowledge assessment items;

[0301] The duration selection module 4132 is used to formulate the number of time periods required for the user to execute the task;

[0302] The frequency selection module 4133 is used to select the frequency of task execution;

[0303] The precautions module 4134 is used to elaborate on the precautions during the execution of each task;

[0304] The task template module 4135 includes a task template formulation module 41351 and a task plan formulation module 41352 based on the template;

[0305] The task template formulation module 41351 is used for the consultant to customize his own exclusive task template, and the formulated template is transmitted to the data storage module 23 through the data transmission module 22 for storage;

[0306] The task plan formulation module 41352 based on the template is used for the consultant to retrieve the previously formulated template and formulate a task plan on the basis of the template;

[0307] The evaluation task module 414 is for the consultant to conduct written evaluation and grade evaluation on the task performance of the user;

[0308] The user consultation module 415 is for the consultant to reply to the questions consulted by the user;

[0309] The new message reminder module 42 for users is used to remind the consultant that a new message has been delivered. The types of new messages include task end reminder, consultation information reminder, advisor addition reminder, and customer evaluation reminder;

[0310] The personal center module 43 is used for professional registration, viewing, and editing personal information.

[0311] Embodiment 4:

[0312] A smart system for blood pressure health assessment and management has the same technical content as any one of Embodiments 1-3. Further, the consultant terminal 4 further includes a science popularization content creation module 44, a user incentive setting module 45, and a smart consultant module 46;

[0313] The science popularization content creation module 44 includes a push module 441 and a sharing module 442;

[0314] The push module 441 is used for the consultant to create health science popularization content and push the created content to the user terminal through the data transmission module 22. The content forms include text, video, picture, and link. The pushed content will also be synchronously stored in the data storage module 23;

[0315] The sharing module 442 is used for the consultant to share the created health science popularization content to various platforms;

[0316] The user incentive setting module 45 is used for the consultant to set the incentive measures given by the system when the user completes the various health tasks formulated. The incentive measures include but are not limited to integral rewards, playing the set sound effects, popping up a custom pop-up window, and issuing virtual asset red envelopes;

[0317] The intelligent advisor module 46 is used to provide the user with an intelligent AI advisor different from human advisors. Whether the user adds a human advisor or not, the health information filled in by the user can be transmitted through the data transmission module 22 to the intelligent management module 215 under the blood pressure health data processing module 21 for processing, generate personalized diet and exercise management plans and corresponding task plans, and be transmitted through the data transmission module 22 to the user terminal 3 for display.

[0318] Example 5:

[0319] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Examples 1-4. Further, the intelligent terminal 1 further includes a switching module 5 and an integration module 6;

[0320] The user terminal 3 and the advisor terminal 4 are switched through the switching module 5;

[0321] The user terminal 3, the advisor terminal 4, and the switching module 5 are encapsulated in the integration module 6.

[0322] The user terminal 3 and the advisor terminal 4 are respectively on different intelligent terminals 1;

[0323] The user terminal 3 and the advisor terminal 4 operate independently and communicate with the cloud server terminal respectively.

[0324] Example 6:

[0325] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Examples 1-5. Further, the user terminal 3 further includes an advisor management information module 34;

[0326] The advisor management information module 34 includes an advisor query and addition module 341, an advisor information query and evaluation module 342, an advisor suggestion display module 343, an advisor consultation desk module 344, a task management module 345, and an advisor sent information reminder module 346;

[0327] The advisor query and addition module 341 is used to add an advisor;

[0328] The advisor information query and evaluation module 342 includes the personal information of the advisor, the importance level of the advisor, and service evaluation options;

[0329] The advisor suggestion display module 343 is used to view the suggestions given by the advisor and diet and exercise prescriptions;

[0330] The advisor consultation desk module 344 is used to consult the advisor about relevant health problems and view the advisor's consultation replies;

[0331] The task management module 345 includes a my task query and display module 3451 and a task evaluation query and display module 3452;

[0332] The my task query and display module 3451 is used to display the user's tasks and the task completion status;

[0333] The task evaluation query and display module 3452 is used to view the evaluation of the tasks completed by the consultant;

[0334] The user information reminder module 346 is used to display the reminder information sent by the consultant, and the message types include task assignment reminder, task evaluation reminder, consultation reply reminder, and suggestion release reminder.

[0335] Example 7:

[0336] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Examples 1-6. Further, the user terminal 3 further includes an intelligent consultant management information module 35 and an incentive module 36;

[0337] The intelligent consultant management information module 35 includes a management plan intelligent generation module 351 and a reminder module 352;

[0338] The management plan intelligent generation module 351 is used to display the personalized diet and exercise management plans and corresponding task plans transmitted by the data transmission module 22 from the intelligent consultant module 46;

[0339] The reminder module 352 is used for the user to set the health task content and task reminder time for himself, and remind the user to complete the task on time. The content of the health task includes but is not limited to physical examination, taking medicine, and data recording. The reminder methods include but are not limited to APP push, SMS reminder, and ringtone reminder. The user can also import the tasks in the my task query and display module 345 into the reminder schedule of the reminder module 352 for reminder;

[0340] The incentive module 36 is used for the user to customize the incentive measures when completing health tasks. The incentive measures include but are not limited to integral rewards, playing the set sound effects, popping up custom pop-ups, and distributing virtual asset red envelopes. After setting the incentive measures, when the user completes each health task, the system will implement the corresponding incentive measures. In addition to customization, the user can also accept the incentive measures set by the user incentive setting module 45 of the consultant terminal 4 for the user.

[0341] Example 8:

[0342] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Examples 1-7. Further, the user terminal 3 further includes a blood pressure index module 37 and a slogan setting module 38;

[0343] The blood pressure index module 37 includes an index display module 371, an index history record module 372, and a warning module 373;

[0344] The index display module 371 is used to display the user's final blood pressure health index and final blood pressure management level index, as well as the development trends of both;

[0345] The index history record module 372 is used to display the user's daily real-time dynamic blood pressure health index, blood pressure management level index, and the change trends of both;

[0346] The warning module 373 is used to set a blood pressure management reminder threshold. When the user's blood pressure management level index is lower than the set threshold, the warning module 373 will send a reminder message to the user terminal and the relatives and friends terminal bound by the user, reminding the user to actively manage their blood pressure. The reminder methods include but are not limited to APP background push messages and sending text messages;

[0347] The slogan setting module 38 is used for the user to set and display self-motivation slogans for blood pressure management. The slogan forms include but are not limited to text, pictures, and voices.

[0348] Embodiment 9:

[0349] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Embodiments 1-8. Further, the blood pressure health self-test module 31 includes a blood pressure health data collection module 311 and an assessment result display module 312;

[0350] The blood pressure health data collection module 311 includes a disease history collection module 3111, a physical health collection module 3112, a mental health collection module 3113, a lifestyle collection module 3114, an environmental factor collection module 3115, and a health literacy collection module 3116;

[0351] The disease history collection module 3111 is used to collect the user's disease history data;

[0352] The physical health collection module 3112 is used to collect the user's physical data;

[0353] The mental health collection module 3113 is used to collect the user's mental health data;

[0354] The lifestyle collection module 3114 is used to collect the user's lifestyle information;

[0355] The environmental factor collection module 3115 is used to collect the environmental information where the user is located;

[0356] The health literacy collection module 3116 is used to collect the user's health literacy information;

[0357] The data collected by the blood pressure health data collection module 311 is transmitted to the blood pressure health data processing module 21 through the data transmission module 22 to obtain the basic data of the user's blood pressure health and blood pressure management level, and then transmitted to the evaluation result display module 312 through the data transmission module 22 for display;

[0358] The evaluation result display module 312 includes a blood pressure health module 3121 and a blood pressure management level module 3122;

[0359] The blood pressure health module 3121 is used to display the basic evaluation score of the user's blood pressure health index, enabling the user to understand their current situation and facilitating the management of the advisor;

[0360] The blood pressure management level module 3122 is used to display the basic evaluation score and management key points of the user's blood pressure management level index, enabling the user to understand their management ability and deficiencies.

[0361] Example 10:

[0362] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Examples 1-9. Further, the blood pressure self-test module 31 further includes a risk assessment module 313 for hypertension-related diseases;

[0363] The risk assessment module 313 for hypertension-related diseases includes a stroke risk assessment module 3131, a coronary heart disease risk assessment module 3132, a myocardial infarction risk assessment module 3133, and a chronic kidney disease risk assessment module 3134;

[0364] The stroke risk assessment module 3131 is used to rate the risk of stroke for the user;

[0365] The coronary heart disease risk assessment module 3132 is used to rate the risk of coronary heart disease for the user;

[0366] The myocardial infarction risk assessment module 3133 is used to rate the risk of myocardial infarction for the user;

[0367] The chronic kidney disease risk assessment module 3134 is used to rate the risk of chronic kidney disease for the user.

[0368] Example 11:

[0369] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Examples 1-10. Further, by self-testing the influencing factors in the blood pressure influencing factor high-frequency self-test module 32, self-test data is obtained, and the self-test data is transmitted to the blood pressure health data processing module 21 through the data transmission module 22 to participate in the calculation of the final blood pressure health index;

[0370] The cloud server 2 further includes a data mining module 216;

[0371] The data mining module 216 is used to automatically analyze the integrated data set, summarize the laws of effective blood pressure management, and assign corresponding user scores to each self-test or intervention behavior of the user according to the mined laws and the results evaluated or recorded by the user;

[0372] The high-frequency self-test module 32 for blood pressure influencing factors includes a factor recording module 321, a factor increasing and decreasing module 322, and a factor sorting module 323;

[0373] The factor recording module 321 includes a lifestyle evaluation module 3211, a bad behavior evaluation module 3212, and a mental health evaluation module 3213;

[0374] The lifestyle evaluation module 3211, the bad behavior evaluation module 3212, and the mental health evaluation module 3213 are respectively set with weights ω Fls 、ω Fbb 、ω Fmh ;

[0375] The lifestyle evaluation module 3211 includes an oil quantity evaluation module 32111, a salt quantity evaluation module 32112, an exercise quantity evaluation module 32113, and a sleep evaluation module 32114;

[0376] The oil quantity evaluation module 32111 is obtained by the user's grading evaluation of the oil quantity consumed by himself on the same day;

[0377] The salt quantity evaluation module 32112 is obtained by the user's grading evaluation of the salt content of the food consumed by himself on the same day;

[0378] The exercise quantity evaluation module 32113 is obtained by the user's grading evaluation of the exercise quantity of himself on the same day;

[0379] The sleep evaluation module 32114 is obtained by the user's grading evaluation of sleep according to his own sleep condition on the same day;

[0380] The oil quantity evaluation module 32111, the salt quantity evaluation module 32112, the exercise quantity evaluation module 32113, and the sleep evaluation module 32114 are respectively set with weights ω fgr 、ω fsa 、ω fex 、ω fsl ,and the names of the user scores are p fgr 、pf sa 、pf ex 、pf s l;

[0381] The bad behavior assessment module 3212 includes a smoking assessment module 32121 and a drinking assessment module 32122;

[0382] The smoking assessment module 32121 is obtained by the user grading and assessing smoking according to their own smoking situation on the same day;

[0383] The drinking assessment module 32122 is obtained by the user grading and assessing drinking according to their own drinking situation on the same day;

[0384] The smoking assessment module 32121 and the drinking assessment module 32122 are respectively set with weights ω fci 、ω fal , and the names of the user scores are p fci 、p fal ;

[0385] The mental health assessment module 3213 includes an emotion assessment module 32131 and a stress assessment module 32132;

[0386] The emotion assessment module 32131 is obtained by the user grading and assessing emotions according to their own mood on the same day;

[0387] The stress assessment module 32132 is obtained by the user grading and assessing stress according to their own stress situation on the same day;

[0388] The emotion assessment module 32131 and the stress assessment module 32132 are respectively set with weights ω fem 、ω fpr , and the names of the user scores are p fem 、p fpr ;

[0389] The grading and assessment method includes a three-level evaluation, a five-level evaluation, and a seven-level evaluation that decrease in order from excellent to poor, and the grading and assessment method can be selected by the user;

[0390] The calculation method of the self-test data is as follows:

[0391] There are the following two calculation methods for the scores of each assessment module at the lowest level:

[0392] Method 1: Calculate the score based on the recording frequency of each influencing factor within a period of time. The calculation formula for the score of a single assessment module is as follows:

[0393] s f =ω f f f (1)

[0394] In the formula, s f represents the score of a single assessment module at the lowest level, ωf Refers to the weight set for a single evaluation module at the lowest level, f f Refers to the recording frequency of a single evaluation module at the lowest level within a period of time. A single evaluation module at the lowest level refers to any one of the oil quantity evaluation module 32111, salt quantity evaluation module 32112, exercise quantity evaluation module 32113, sleep evaluation module 32114, smoking evaluation module 32121, alcohol consumption evaluation module 32122, emotion evaluation module 32131, and stress evaluation module 32132;

[0395] Method 2: Calculate the score based on the recording frequency and recording results of each influencing factor within a period of time. The calculation formula is as follows:

[0396]

[0397] In the formula, s f Represents the score of a single evaluation module at the lowest level, r is the number of times the user records in a single evaluation module at the lowest level within a certain time period, and p fi Is the user score recorded by the user for the i-th time in a single evaluation module at the lowest level within a certain time period. A single evaluation module at the lowest level refers to any one of the oil quantity evaluation module 32111, salt quantity evaluation module 32112, exercise quantity evaluation module 32113, sleep evaluation module 32114, smoking evaluation module 32121, alcohol consumption evaluation module 32122, emotion evaluation module 32131, and stress evaluation module 32132;

[0398] The calculation formula for the single module score of the lifestyle evaluation module 3211, the bad behavior evaluation module 3212, and the mental health evaluation module 3213 is as follows:

[0399]

[0400] Among them, s F Represents the score of a single evaluation module at the next lower level, m is the number of evaluation modules at the lowest level under this evaluation module, and ω f Refers to the weight set for a single evaluation module at the lowest level, s f Represents the score of a single evaluation module at the lowest level. A single evaluation module at the next lower level refers to any one of the lifestyle evaluation module 3211, the bad behavior evaluation module 3212, and the mental health evaluation module 3213;

[0401] The calculation formula for the self-test data is as follows:

[0402]

[0403] Among them, S F Represents the self-test data, ω FRepresents the weight of a single evaluation module at a lower level, s F Represents the score of a single evaluation module at a lower level;

[0404] The factor increase / decrease module 322 is used for the user to add or delete factors with high-frequency records according to their own situations;

[0405] The factor sorting module 323 is used to sort the factors with high-frequency records;

[0406] The factor sorting module 323 includes an intelligent sorting module 3231 and a manual sorting module 3232;

[0407] The intelligent sorting module 3231 sorts according to the weight ω of the factors of each high-frequency record f from large to small, and the weight ω f is preset by the system;

[0408] The manual sorting module 3232 is used for the user to manually set the sorting of the factors with high-frequency records according to their own needs.

[0409] Example 12:

[0410] A smart system for blood pressure health assessment and management, with the technical content the same as any one of Examples 1-11. Further, by intervening in the health modules in the blood pressure health intervention module 33, the intervention behavior data of each health module is obtained, and the intervention behavior data is transmitted to the blood pressure health data processing module 21 through the data transmission module 22 to participate in the calculation of the final blood pressure health index;

[0411] The data mining module 216 assigns corresponding user scores to the user's each intervention behavior according to the recording result of each time;

[0412] The health modules in the blood pressure health intervention module 33 include an intervention tool recording module 331, an intervention tool sorting module 332, and an intervention tool increase / decrease module 333;

[0413] The intervention tool recording module 331 includes a basic physiological parameter recording module 3311, a lifestyle management module 3312, a bad habit management module 3313, a health literacy cultivation module 3314, and a mental health module 3315;

[0414] The basic physiological parameter recording module 3311, the lifestyle management module 3312, the bad habit management module 3313, the health literacy cultivation module 3314, and the mental health module 3315 are respectively set with weights ω Tpp 、ω Tls 、ω Tbb 、ω Thl 、ω Tmh ;

[0415] The basic physiological parameter recording module 3311 includes a blood pressure recording module 33111 and a body weight recording module 33112;

[0416] The blood pressure recording module 33111 is used to record the high blood pressure, low blood pressure, heart rate of the user and the recent change trend, and conduct blood pressure management for the user. The methods for obtaining the user's blood pressure data include manual entry, intelligent hardware Bluetooth transmission, picture recognition, and voice recognition. In addition, the user can also record the measurement site, measurement instrument, measurement location, recording personnel, measuring personnel, measurement time, and remarks;

[0417] The body weight recording module 33112 is used to record the user's body weight and the change trend of the body weight, and conduct body weight management for the user;

[0418] The blood pressure recording module 33111 and the body weight recording module 33112 are respectively set with weights ω tbp 、ω tbw , and the names of the user scores are p tbp 、p tbw ;

[0419] The lifestyle management module 3312 includes a diet recording module 33121, an exercise recording module 33122, a sleep recording module 33123, and a medication management module 33124;

[0420] The diet recording module 33121 is used to record the user's dietary collocation, diet intake, eating habits, and conduct diet management for the user;

[0421] The exercise recording module 33122 is used to record the user's exercise situation and the corresponding exercise level, and conduct exercise management for the user;

[0422] The sleep recording module 33123 is used to record the user's sleep situation and conduct sleep management for the user;

[0423] The medication management module 33124 is used to record the user's medication situation and conduct medication management for the user;

[0424] The diet recording module 33121, the exercise recording module 33122, the sleep recording module 33123, and the medication management module 33124 are respectively set with weights ω tdi 、ω tex 、ω tsl 、ω tme , and the names of the user scores are p tdi 、p tex 、p tsl 、p tme ;

[0425] The bad habit management module 3313 includes a smoking cessation module 33131 and an alcohol abstinence module 33132;

[0426] The smoking cessation module 33131 is used to record the smoking data of the user and assist the user in implementing a smoking cessation plan;

[0427] The alcohol abstinence module 33132 is used to record the alcohol consumption data of the user and assist the user in implementing an alcohol abstinence plan;

[0428] The smoking cessation module 33131 and the alcohol abstinence module 33132 are respectively set with weights ω tci 、ω tal , and the names of the user scores are respectively p tci 、p tal ;

[0429] The health literacy cultivation module 3314 includes a health knowledge learning module 33141 and a health knowledge assessment module 33142;

[0430] The health knowledge learning module 33141 is used to display the health knowledge related to hypertension in the cloud server for the user to learn. After the user learns, corresponding learning records will be generated. In addition, the user can also comment on, like, and reward the displayed health knowledge;

[0431] The health knowledge assessment module 33142 is used to test the knowledge learned by the user in the health knowledge learning module 33141;

[0432] The health knowledge learning module 33141 and the health knowledge assessment module 33142 are respectively set with weights ω tle 、ω tte , and the names of the user scores are respectively p tle 、p tte ;

[0433] The mental health module 3315 includes a breathing decompression module 33151 and a psychological management module 33152;

[0434] The breathing decompression module 33151 is used to assist the user in performing deep breathing decompression training alone or in combination with intelligent hardware and record the training data;

[0435] The psychological management module 33152 is used to record the psychological condition of the user and manage the user's psychology;

[0436] The breathing decompression module 33151 and the psychological management module 33152 are respectively set with weights ω tbs 、ω tmm , and the names of the user scores are respectively p tbs 、p tmm;

[0437] There are the following two calculation methods for the scores of each intervention tool module at the lowest level:

[0438] Method 1: Calculate the score based on the recording frequency of each intervention tool within a period of time. The calculation formula for the score of a single intervention tool module is as follows:

[0439] s t = ω t f t (5)

[0440] In the formula, s t represents the score of a single intervention tool module at the lowest level, ω t refers to the weight set for a single intervention tool module at the lowest level, and f t refers to the recording frequency of a single intervention tool module at the lowest level within a period of time. A single intervention tool module at the lowest level refers to any one of the blood pressure recording module 33111, weight recording module 33112, diet recording module 33121, exercise recording module 33122, sleep recording module 33123, medication management module 33124, smoking cessation module 33131, alcohol abstinence module 33132, health knowledge learning module 33141, health knowledge assessment module 33142, breathing blood pressure reduction module 33151, and psychological management module 33152;

[0441] Method 2: Calculate the score based on the recording frequency and recording results of each intervention tool module within a period of time. The calculation formula is as follows:

[0442]

[0443] In the formula, s t represents the score of a single intervention tool module at the lowest level, r is the number of times the user records in a single intervention tool module at the lowest level within a certain time period, and p ti is the user score of the user's i-th record in a single intervention tool module at the lowest level. A single intervention tool module at the lowest level refers to any one of the blood pressure recording module 33111, weight recording module 33112, diet recording module 33121, exercise recording module 33122, sleep recording module 33123, medication management module 33124, smoking cessation module 33131, alcohol abstinence module 33132, health knowledge learning module 33141, health knowledge assessment module 33142, breathing blood pressure reduction module 33151, and psychological management module 33152;

[0444] The calculation formulas for the scores of individual modules of the basic physiological parameter recording module 3311, lifestyle management module 3312, bad habit management module 3313, health literacy cultivation module 3314, and mental health module 3315 are as follows:

[0445]

[0446] Among them, s T represents the score of a lower-level individual intervention tool module, n is the number of the lowest-level intervention tool modules under this intervention tool module, ω t refers to the weight set for the lowest-level individual intervention tool module, and s t represents the score of the lowest-level individual intervention tool module. A lower-level individual intervention tool module refers to any one of the basic physiological parameter recording module 3311, lifestyle management module 3312, bad habit management module 3313, health literacy cultivation module 3314, and mental health module 3315;

[0447] The calculation formula for the intervention behavior data is as follows:

[0448]

[0449] Among them, s T represents the intervention behavior data, ω T represents the weight of a lower-level individual intervention tool module, and S T represents the score of a lower-level individual intervention tool module;

[0450] The intervention tool sorting module 332 is used to sort the intervention tools;

[0451] The intervention tool sorting module 332 includes an automatic sorting module 3321 and a manual sorting module 3322;

[0452] The automatic sorting module 3321 sorts according to the weights ω t of each blood pressure health intervention tool from large to small. The weights ω t are pre-set by the system;

[0453] The manual sorting module 3322 is used for the user to manually set the sorting of the blood pressure health intervention tools according to their own needs;

[0454] The intervention tool adding and subtracting module 333 is used for the user to add or subtract the blood pressure health intervention tools in the intervention tool recording module 331 according to their own needs.

[0455] Example 13:

[0456] An intelligent system for blood pressure health assessment and management, with the technical content being the same as any one of Embodiments 1-12. Further, it further includes an intelligent hardware terminal 7;

[0457] The intelligent hardware terminal 7 includes a data monitoring module 71, a data display module 72, and a wireless transmission module 73;

[0458] The data monitoring module 71 of the intelligent module 7 is used to monitor the user's blood pressure, exercise, weight, sleep, and slow breathing training data, and respectively send the data to the blood pressure recording module 33111, weight recording module 33112, exercise recording module 33122, sleep recording module 33123, and breathing blood pressure reduction module 33141 for recording through the wireless transmission module 73. The intelligent hardware includes but is not limited to intelligent sphygmomanometers, intelligent weighing scales, breathing blood pressure reduction instruments, intelligent pedometers, intelligent watches, and intelligent bracelets.

[0459] Embodiment 14:

[0460] An intelligent system for blood pressure health assessment and management, with the technical content being the same as any one of Embodiments 1-13. Further, the blood pressure health assessment index calculation module 211 includes a data preprocessing module 2111, a weight assignment module 2112, a health level assessment module 2113, and a function mapping module 2114;

[0461] The data preprocessing module 2111 normalizes and standardizes the data collected by the blood pressure health data acquisition module 311 to obtain standard data, and transmits the standard data to the weight assignment module 2112 and the weight re-assignment module 2121;

[0462] The steps for the weight assignment module 2112 to process the standard data are as follows:

[0463] S1 Sort out the interaction and influence relationships between various blood pressure health indicators;

[0464] The interaction and influence relationship characterization model between various blood pressure health indicators is constructed by the Decision Making Trial and Evaluation Laboratory method or the Fuzzy Interpretive Structural Modeling method;

[0465] S2 Use the Analytic Network Process (ANP) network structure to determine the relative weights of various blood pressure health indicators. The steps are as follows:

[0466] S21 Analyze the problems of blood pressure health, and obtain the mutual influence relationship between elements by combining elements into element groups or decomposing problems into elements;

[0467] S22 Construct an ANP network structure;

[0468] S23 According to the ANP network structure diagram, obtain an unweighted supermatrix;

[0469] S24 weights the unweighted supermatrix to obtain a weighted supermatrix;

[0470] S25 calculates the Cesaro sum limit of the weighted supermatrix to obtain a limit matrix;

[0471] S3 transmits the determined weights to the health level evaluation module 2113, restricting the sum of the weights of the disease history index and the physical health index to be between 50% and 80%, and the sum of the weights of the mental health, lifestyle, environmental factors, and health literacy indexes to be between 20% and 50%. Otherwise, repeat steps S1 - S3;

[0472] The health level evaluation module 2113 obtains the blood pressure health level and the blood pressure health evaluation index through the weights output by the weight assignment module 2112. The steps are as follows:

[0473] S31 divides the levels and establishes an evaluation set V as follows:

[0474] V = {V1, V2, …, V n} (9)

[0475] Among them, V i (i = 1, 2, …, n) represents various possible evaluation results, and i is the result number;

[0476] S32 selects the evaluation factors and constructs an index set U as follows:

[0477] U = {U1, U2, …, U n} (10)

[0478] Among them, U i (i = 1, 2, …, n) represents the primary index of the system, which may also include the secondary index u i ;

[0479] S33 conducts single - index evaluation and establishes a fuzzy evaluation matrix R. R is composed of the membership degrees of each index, as follows:

[0480]

[0481] In the formula, where R i = (r i1 , r i2 , …, r in ) is the evaluation vector of the index u i , and r ij represents the membership degree of the index u i with respect to the evaluation set v j ;

[0482] S34 assigns weights k to each index u i according to the importance of the indexi , an index weight set is obtained as follows:

[0483] K = {k1, k2, …, k m}(12)

[0484] S35 uses the theory of fuzzy mathematical operations operators to evaluate the system status, and a vector element group B is obtained, that is:

[0485] B = {b1, b2, …, b n}} = K · R(13)

[0486] In the formula, b i i = 1, 2, …, n represents the fuzzy comprehensive judgment index, and “·” is the fuzzy composition operator. The product and bounded type fuzzy composition operators are adopted, and the calculation formula is as follows:

[0487]

[0488] S36 normalizes the vector element group B, analyzes the system evaluation results, and the system evaluation corresponding to the comment with the highest membership degree is the most likely to occur;

[0489] The normalized vector element group B is as follows:

[0490]

[0491] S4 The function mapping module 2114 gives each comment in the evaluation set V a weight, which are respectively assigned as x1, x2, x3, …, x n , and the blood pressure health assessment index Y is obtained according to the following formula:

[0492]

[0493] S5 The blood pressure health index calculation module 213 converts the basic data, self-measured data, and intervention behavior data into the final blood pressure health index through the following formula:

[0494] BPHI = x · Y + y · S F + z · S T (17)

[0495] Among them, x, y, and z respectively represent the weight ratios of the scores of the blood pressure health data collection module 311, the blood pressure influencing factor high-frequency self-measurement module 32, and the blood pressure health intervention module 33 in the blood pressure health index. The sum of y and z is less than x. Y represents the blood pressure health assessment index Y calculated by the blood pressure health assessment index calculation module 211. S F represents the self-measured data, and S T represents the intervention behavior data.

[0496] Example 15:

[0497] An intelligent system for blood pressure health assessment and management, the technical content is the same as any one of Examples 1-14. Further, the blood pressure management level assessment index calculation module 212 includes a weight re-assignment module 2121, a management level assessment module 2122, and an index calculation module 2123;

[0498] The weight re-assignment module 2121 described in S6 is used to customize the weights of the first-level indicators of the system, and limit the sum of the weights of the disease history indicator and the physiological health indicator to be between 5% and 20%, and the sum of the weights of the mental health, lifestyle, environmental factors, and health literacy indicators to be between 80% and 95%;

[0499] The management level assessment module 2122 described in S7 obtains the blood pressure management level grade and the blood pressure management level assessment index through the weights output by the weight re-assignment module 2121. The steps are as follows:

[0500] S71 Divide the grades and establish an evaluation set E as follows:

[0501] E = {E1, E2,..., E n}(18)

[0502] Among them, E i (i = 1, 2,..., n) represents various possible evaluation results, and i is the result number;

[0503] S72 Select evaluation factors and construct an index set U as follows:

[0504] U = {U1, U2,..., U n}(19)

[0505] Among them, U i (i = 1, 2,..., n) represents the first-level indicators of the system, and may also include secondary indicators u i ;

[0506] S73 Conduct single-index evaluation and establish a fuzzy evaluation matrix R. R is composed of the membership degrees of each index as follows:

[0507]

[0508] In the formula, where R i = (r i1 , r i2 ,..., r in ) is the evaluation vector of the index u i , and r ij represents the membership degree of the index u i with respect to the evaluation set v j ;

[0509] S74 According to the importance of the indicators, weights p are assigned to each indicator u i to obtain the set of indicator weights as follows: i

[0510] P = {p1, p2, …, p m}(21)

[0511] S75 Using the theory of fuzzy mathematical operations operators to evaluate the system status, obtaining the vector element group C, that is:

[0512] C = {c1, c2, …, c n} = P · R(22)

[0513] where ci i i = 1, 2, …, n represents the fuzzy comprehensive judgment indicators, “·” is the fuzzy composition operator, and the product and bounded type fuzzy composition operators are used. The calculation formula is as follows:

[0514]

[0515] S76 Normalize the vector element group C, analyze the system evaluation results, and the system evaluation corresponding to the comment with the highest membership degree is the most likely to occur;

[0516] The normalized vector element group C is as follows:

[0517]

[0518] S8 The index calculation module 2123 assigns a weight to each comment in the evaluation set E, and assigns them as e1, e2, e3, …, e n respectively, and obtains the blood pressure management level evaluation index Z according to the following formula, that is, the basic data of the blood pressure management level index, and transmits the basic data to the blood pressure management level index calculation module 214:

[0519]

[0520] S9 The blood pressure management level index calculation module 214 converts the basic data, self-test data, and intervention behavior data into the final blood pressure management level index through the following method;

[0521] BPMI = α · Z + β · S F + γ · S T (26)

[0522] ​Among them, BPMI is the blood pressure management level index, α, β, and γ respectively represent the weight proportions of the scores of the blood pressure health data collection module 311, the blood pressure influencing factor high-frequency self-test module 32, and the blood pressure health intervention module 33 in the blood pressure management level index, Z represents the blood pressure health assessment index calculated by the blood pressure health assessment index calculation module 211, S F represents the self-test data, S T represents the intervention behavior data.

[0523] β and γ in the formula 26 are greater than y and z in the formula 17, and the fluctuation of the blood pressure management level index caused by the user's self-test of influencing factors or health intervention is greater than the fluctuation of the blood pressure health index.

[0524] Example 16:

[0525] A blood pressure health assessment and management intelligent system, the technical content is the same as any one of Examples 1-15. Further, the blood pressure management level assessment index calculation module 212 can also calculate the user's blood pressure management weaknesses, and transmit the calculated prevention and control key indicators to the blood pressure management level assessment module 312 for display through the data transmission module 22;

[0526] The steps for the blood pressure management level assessment index calculation module 212 to calculate the prevention and control key points in S10 are as follows:

[0527] S101 According to the standard data obtained by the preprocessing module 2121, establish the original data matrix:

[0528] X i =[x i1 x i2 … x in (i = 1, 2, …m) (27)

[0529] In the formula, X i is the standard data matrix of the first-level index U i , and x ij is the standard data corresponding to the jth secondary index u i under the first-level index U ij ;

[0530] S102 Confirm the optimal situation and the worst situation:

[0531]

[0532]

[0533] In the formula, is the optimal situation vector of the first-level index U i , and a ij is the index u ijStandard data in the optimal case is the worst-case vector of the first-level indicator U i and b ij is the standard data of the indicator u ij in the worst case;

[0534] S103 Calculate the distance C between each first-level indicator and the worst case i :

[0535]

[0536]

[0537]

[0538] In the formula, is the degree of closeness between the first-level indicator U i and the optimal case, is the degree of closeness between the first-level indicator U i and the worst case, ω ij is the weight assigned to the indicator u by the weight re-assignment module 2121 ij ;

[0539] S104 The smallest C i The corresponding indicator is the key prevention and control indicator.

[0540] Example 17:

[0541] A smart system for blood pressure health assessment and management, the technical content is the same as any one of Examples 1-16. Assuming that the users are people who need to prevent and control hypertension, first, they conduct self-tests on their blood pressure health levels. The first step of the blood pressure health level self-test is to collect data, which is collected through questionnaires. The data collected includes but is not limited to the user's medical history, physiological indicators, mental health, lifestyle, environmental factors, health literacy and other data. Based on the data processing module, the blood pressure health level and the specific blood pressure health index are obtained. In addition to the blood pressure health level, users can also obtain their own blood pressure management level and the specific blood pressure management index, which helps users understand their own blood pressure management capabilities.

[0542] After obtaining the blood pressure health results, the user can use various health intervention modules provided by the application for health intervention. For example, the high-frequency self-assessment module for blood pressure influencing factors can conduct simple and high-frequency graded self-assessments on factors such as the user's lifestyle, bad habits, and mental health, including but not limited to the amount of oil, salt intake, exercise, sleep, smoking, drinking, mood, and stress. In addition to the high-frequency self-assessment module for blood pressure influencing factors, the system also includes a blood pressure health intervention module, which provides users with various intervention tools with functions such as basic physiological parameter recording, lifestyle management, bad habit management, health literacy cultivation, and mental health. Specifically, it includes health management modules such as blood pressure recording, weight recording, diet recording, exercise recording, sleep recording, medication management, smoking cessation, alcohol abstinence, health knowledge learning, health knowledge assessment, breathing blood pressure reduction, and mental management modules. Users can use them by themselves to reduce the risk of abnormal blood pressure. In the process of using the high-frequency self-assessment module for blood pressure influencing factors and the blood pressure health intervention module for blood pressure management, the user's own health management ability is improved, which will be reflected in the change of the user's blood pressure management level index score, and at the same time, the user's blood pressure health will be gradually improved, specifically reflected in the slow increase of the user's blood pressure health index. When the user neglects management and the blood pressure management level index is lower than the threshold, the system will issue a warning to the user and their relatives.

[0543] In addition, the consultant can manage through the consultant terminal. The consultant terminal can view the user's basic information, including data such as the change curve of the blood pressure health index, the results of the high-frequency self-assessment module for blood pressure influencing factors, and the blood pressure health intervention module, and issue relevant advice prescriptions to the user based on their own experience. In addition, the consultant can formulate targeted task plans for the user, regularly check and evaluate the user's task completion situation. After formulating the task plan, the consultant can set reward measures to motivate the user to complete the task. The user can also consult the consultant at any time if they have questions or situations. Especially, whether the user adds a human consultant or not, the system will provide the user with an intelligent consultant. This intelligent consultant can intelligently generate an intervention plan based on the user's information and remind the user to complete it on time.

Claims

1. An intelligent system for blood pressure health assessment and management, characterized in that, Including: Intelligent terminal (1) and cloud server (2); The intelligent terminal (1) includes a user terminal (3); The user terminal (3) includes a blood pressure health self-test module (31), a high-frequency self-test module for blood pressure influencing factors (32), and a blood pressure health intervention module (33); The blood pressure health self-test module (31) is used to collect the user's blood pressure health data, facilitating the obtaining of the basic assessment score of the user's blood pressure health; The high-frequency self-test module for blood pressure influencing factors (32) is used for the user to self-assess the risk factors of hypertension, obtain self-test data, and transmit it to the blood pressure health data processing module (21) through the data transmission module (22); The blood pressure health intervention module (33) is used for the user to intervene in the prevention and control of hypertension, obtain intervention behavior data, and transmit it to the blood pressure health data processing module (21) through the data transmission module (22); The cloud server (2) includes a blood pressure health data processing module (21), a data transmission module (22), and a data storage module (23); The blood pressure health data processing module (21) includes a blood pressure health assessment index calculation module (211) and a blood pressure health index calculation module (213); The blood pressure health assessment index calculation module (211) calculates the basic assessment score of the user's blood pressure health based on the user's blood pressure health data collected by the blood pressure health self-test module (31); The blood pressure health index calculation module (213) calculates the user's blood pressure health index and level through the basic assessment score of blood pressure health, self-test data, and intervention behavior data; The data transmission module (22) is used for data interaction with the intelligent terminal (1); The data storage module (23) is used to store the data of the intelligent terminal (1) and the cloud server (2).

2. The intelligent system for blood pressure health assessment and management according to claim 1, wherein The blood pressure health data processing module (21) further includes a blood pressure management level assessment index calculation module (212) and a blood pressure management level index calculation module (214); The blood pressure management level assessment index calculation module (212) is used to calculate the basic assessment score of the user's blood pressure management level based on the user's blood pressure health data collected by the blood pressure health self-test module (31); The blood pressure management level index calculation module (214) calculates the user's blood pressure management level index and level through the basic assessment score of blood pressure management level, self-test data, and intervention behavior data.

3. The intelligent system for blood pressure health assessment and management according to claim 1, characterized in that The intelligent terminal (1) further includes an advisor terminal (4); The advisor terminal (4) includes a customer management module (41), a user message reminder module (42), a personal center module (43), a science popularization content creation module (44), a user incentive setting module (45), and an intelligent advisor module (46); The customer management module (41) includes a my customer information query module (411), a suggestion publishing module (412), a task plan formulation module (413), a task evaluation module (414), and a user consultation module (415); The described My Customer Information Query Module (411) is used to record information of different users, and the information includes personal information of customers, blood pressure health index, current task status and task details; The task details include basic information of the task and task menu; The described Publishing Suggestion Module (412) is for consultants to publish suggestions to users, and the suggestions include but are not limited to psychology, nutrition, sleep and exercise; The described Task Plan Formulation Module (413) is used to formulate management tasks for users; The Task Plan Formulation Module (413) includes a Task Item Selection Module (4131), a Duration Selection Module (4132), a Frequency Selection Module (4133), a Precautions Module (4134), and a Task Template Module (4135); The Task Item Selection Module (4131) includes one or more of the following item combinations: high-frequency self-test items for blood pressure influencing factors, blood pressure management items, diet management items, exercise management items, medication management items, sleep management items, weight management items, breathing decompression items, smoking cessation management items, alcohol abstinence management items, psychology management items, health knowledge learning items, health knowledge assessment items; The Duration Selection Module (4132) is used to formulate the number of time periods required for users to execute tasks; The Frequency Selection Module (4133) is used to select the frequency of task execution; The Precautions Module (4134) is used to elaborate on the precautions during the execution of each task; The Task Template Module (4135) includes a Task Template Formulation Module (41351) and a Task Plan Formulation Module Based on Template (41352); The Task Template Formulation Module (41351) is used for consultants to customize their own exclusive task templates, and the formulated templates are transmitted to the Data Storage Module (23) through the Data Transmission Module (22) for storage; The Task Plan Formulation Module Based on Template (41352) is used for consultants to retrieve the previously formulated templates and formulate task plans based on the templates; The Evaluation Task Module (414) is for consultants to conduct text evaluation and grade evaluation on the task execution situation of users; The User Consultation Module (415) is for consultants to reply to questions consulted by users; The New Message Reminder Module for Users (42) is used to remind consultants that new messages have been delivered, and the types of new messages include task end reminder, consultation information reminder, adding consultant reminder, customer evaluation reminder; The Personal Center Module (43) is used for professional registration, viewing and editing personal information. The Popular Science Content Creation Module (44) includes a Push Module (441) and a Sharing Module (442); The Push Module (441) is used for consultants to create health popular science content and push the created content to the user side through the Data Transmission Module (22). The content forms include text, video, picture, link, and the pushed content will also be synchronously stored in the Data Storage Module (23); The Sharing Module (442) is used for consultants to share the created health popular science content to various platforms; The user incentive setting module (45) is used for the consultant to set the incentive measures given by the system when the user completes various specified health tasks. The incentive measures include but are not limited to point rewards, playing the set sound effects, popping up a custom pop-up window, distributing points or virtual asset red envelopes; The intelligent consultant module (46) is used to provide the user with an intelligent AI consultant different from human consultants. Whether the user adds a human consultant or not, the health information filled in by the user can be transmitted through the data transmission module (22) to the intelligent management module (215) under the blood pressure health data processing module (21) for processing, generating personalized diet and exercise management plans and corresponding task plans, and transmitted to the user terminal (3) through the data transmission module (22) for display.

4. The intelligent system for blood pressure health assessment and management according to claim 3, wherein The intelligent terminal (1) further includes a switching module (5) and an integration module (6); The user terminal (3) and the consultant terminal (4) are switched through the switching module (5); The user terminal (3), the consultant terminal (4), and the switching module (5) are encapsulated in the integration module (6). The user terminal (3) and the consultant terminal (4) exist on different intelligent terminals (1) respectively; The user terminal (3) and the consultant terminal (4) operate independently and communicate with the cloud server side respectively.

5. The intelligent system for blood pressure health assessment and management according to claim 1, wherein The user terminal (3) further includes a consultant management information module (34), an intelligent consultant management information module (35), an incentive module (36), a blood pressure index module (37), and a slogan setting module (38); The consultant management information module (34) includes a consultant query and addition module (341), a consultant information query and evaluation module (342), a consultant advice display module (343), a consultant consultation desk module (344), a task management module (345), and a consultant message reminder module (346); The consultant query and addition module (341) is used for adding a consultant; The consultant information query and evaluation module (342) includes the personal information of the consultant, the importance level of the consultant, and service evaluation options; The consultant advice display module (343) is used to view the advice and diet and exercise prescriptions given by the consultant; The consultant consultation desk module (344) is used to consult health problems related to the consultant and view the consultation replies of the consultant; The task management module (345) includes a my task query and display module (3451) and a task evaluation query and display module (3452); The my task query and display module (3451) is used to display the user's tasks and the task completion status; The task evaluation query and display module (3452) is used to view the evaluation of the tasks completed by the consultant; The user information reminder module (346) is used to display the reminder messages sent by the consultant. The message types include task assignment reminder, task evaluation reminder, consultation reply reminder, and advice release reminder. The intelligent consultant management information module (35) includes a management plan intelligent generation module (351) and a reminder module (352); The management plan intelligent generation module (351) is used to display the personalized diet and exercise management plans and corresponding task schedules transmitted by the intelligent advisor module (46) to the data transmission module (22); The reminder module (352) is used for the user to set the content and reminder time of health tasks for himself / herself, and remind the user to complete the tasks on time. The content of health tasks includes but is not limited to physical examinations, taking medicine, and data recording. The reminder methods include but are not limited to APP push, SMS reminder, and ringtone reminder; The reminder module (352) imports the tasks in the task query display module (345) into the reminder schedule to remind the user of the tasks; The incentive module (36) is used for the user to customize the incentive measures when completing health tasks. The incentive measures include but are not limited to integral rewards, playing the set sound effects, popping up a custom pop-up window, and distributing virtual asset red envelopes. The blood pressure index module (37) includes an index display module (371), an index history record module (372), and a warning module (373); The index display module (371) is used to display the user's final blood pressure health index and final blood pressure management level index, as well as the development trends of both; The index history record module (372) is used to display the user's daily real-time dynamic blood pressure health index, blood pressure management level index, and the corresponding change trends; The warning module (373) is used to set the blood pressure management reminder threshold; When the user's blood pressure management level index is lower than the set threshold, the warning module (373) will send a reminder message to the user terminal and the relatives and friends terminals bound by the user, reminding the user to actively manage their own blood pressure. The reminder methods include but are not limited to APP background push messages and sending mobile phone text messages; The slogan setting module (38) is used for the user to set and display self-motivation slogans for blood pressure management. The slogan forms include but are not limited to text, pictures, and voices.

6. The intelligent system for blood pressure health assessment and management according to claim 1, characterized in that The blood pressure health self-test module (31) includes a blood pressure health data collection module (311), an evaluation result display module (312), and a hypertension-related disease risk assessment module (313); The blood pressure health data collection module (311) includes a disease history collection module (3111), a physical health collection module (3112), a mental health collection module (3113), a lifestyle collection module (3114), an environmental factor collection module (3115), and a health literacy collection module (3116); The disease history collection module (3111) is used to collect the user's disease history data; The physical health collection module (3112) is used to collect the user's physical data; The mental health collection module (3113) is used to collect the user's mental health data; The lifestyle collection module (3114) is used to collect the user's lifestyle information; The environmental factor collection module (3115) is used to collect the user's environmental information; The health literacy collection module (3116) is used to collect the user's health literacy information; The data collected by the blood pressure health data collection module (311) is transmitted to the blood pressure health data processing module (21) through the data transmission module (22), obtaining the basic data of the user's blood pressure health and blood pressure management level, and transmitted to the evaluation result display module (312) through the data transmission module (22) for display; The evaluation result display module (312) includes a blood pressure health module (3121) and a blood pressure management level module (3122); The blood pressure health module (3121) is used to display the basic evaluation score of the user's blood pressure health index; The blood pressure management level module (3122) is used to display the basic evaluation score of the user's blood pressure management level index and the prevention and control key indicators; the prevention and control key indicators are calculated by the blood pressure management level evaluation index calculation module (212); The hypertension-related disease risk assessment module (313) includes a stroke risk assessment module (3131), a coronary heart disease risk assessment module (3132), a myocardial infarction risk assessment module (3133), and a chronic kidney disease risk assessment module (3134); The stroke risk assessment module (3131) is used to rate the risk of stroke for the user; The coronary heart disease risk assessment module (3132) is used to rate the risk of coronary heart disease for the user; The myocardial infarction risk assessment module (3133) is used to rate the risk of myocardial infarction for the user; The chronic kidney disease risk assessment module (3134) is used to rate the risk of chronic kidney disease for the user.

7. The intelligent system for blood pressure health assessment and management according to claim 1, wherein The cloud server (2) further includes a data mining module (216); The data mining module (216) is used to integrate and analyze the basic evaluation scores, self-test data, and intervention behavior data of blood pressure health, and assign corresponding user scores to each self-test or intervention behavior of the user according to the analysis results; The blood pressure influencing factor high-frequency self-test module (32) includes a factor recording module (321), a factor increasing and decreasing module (322), and a factor sorting module (323); The factor recording module (321) includes a lifestyle evaluation module (3211), a bad behavior evaluation module (3212), and a mental health evaluation module (3213); The lifestyle assessment module (3211), the bad behavior assessment module (3212), and the mental health assessment module (3213) are respectively set with weights ω Fls , ω Fbb , ω Fmh ; The lifestyle evaluation module (3211) includes a grease quantity evaluation module (32111), a salt quantity evaluation module (32112), an exercise quantity evaluation module (32113), and a sleep evaluation module (32114); The grease quantity evaluation module (32111) is obtained by the user's grading evaluation of the grease quantity consumed by himself on the same day; The salt quantity evaluation module (32112) is obtained by the user's grading evaluation of the salt content of the food consumed by himself on the same day; The exercise quantity evaluation module (32113) is obtained by the user's grading evaluation of the exercise quantity of himself on the same day; The sleep evaluation module (32114) is obtained by the user's grading evaluation of sleep according to his sleep condition on the same day; The fat quantity evaluation module (32111), salt quantity evaluation module (32112), exercise quantity evaluation module (32113), and sleep evaluation module (32114) are respectively set with weights ω fgr , ω fsa , ω fex , ω fsl , and the names of the user scores are respectively p fgr , p fsa , p fex , p fsl ; The bad behavior evaluation module (3212) includes a smoking evaluation module (32121) and a drinking evaluation module (32122); The smoking assessment module (32121) is obtained by the user's grading assessment of smoking according to the user's smoking status on the same day; The drinking assessment module (32122) is obtained by the user's grading assessment of drinking according to the user's drinking status on the same day; The smoking assessment module (32121) and the drinking assessment module (32122) are respectively set with weights ω fci , ω fal , and the names of the user scores are p fci , p fal ; The mental health assessment module (3213) includes an emotion assessment module (32131) and a stress assessment module (32132); The emotion assessment module (32131) is obtained by the user's grading assessment of emotions according to the user's mood status on the same day; The stress assessment module (32132) is obtained by the user's grading assessment of stress according to the user's stress status on the same day; The grading assessment method is selected by the user, including three-level assessment, five-level assessment, and seven-level assessment; The emotion assessment module (32131) and the stress assessment module (32132) are respectively set with weights ω fem , ω fpr , and the names of the user scores are p fem , p fpr ; The factor addition and deletion module (322) is used for the user to perform addition or deletion operations on frequently recorded factors; The factor sorting module (323) is used to sort the frequently recorded factors; The factor sorting module (323) includes an intelligent sorting module (3231) and a manual sorting module (3232); The intelligent sorting module (3231) sorts according to the weights ω of the factors of each high-frequency record f from large to small; the weight ω f is preset by the system; The manual sorting module (3232) is used for the user to manually set the sorting of frequently recorded factors. The calculation steps of the self-test data are as follows: a1) Calculate the scores s of each evaluation module at the lowest level through formula (1) or formula (2) f ; s f = ω f f f (1) Where s f is the score of a single evaluation module at the lowest level, ω f is the weight set for a single evaluation module at the lowest level; f f is the recording frequency of a single evaluation module at the lowest level within the time period t; the single evaluation module at the lowest level is any one of the oil quantity evaluation module (32111), salt quantity evaluation module (32112), exercise quantity evaluation module (32113), sleep evaluation module (32114), smoking evaluation module (32121), alcohol consumption evaluation module (32122), emotion evaluation module (32131), stress evaluation module (32132); r is the number of times the user records in a single evaluation module at the lowest level within the time period t, p fi is the user score recorded by the user for the i-th time in a single evaluation module at the lowest level within a certain time period of the user; a2) Calculate the scores of individual modules of the lifestyle assessment module (3211), the bad behavior assessment module (3212), and the mental health assessment module (3213), that is: Among them, s F represents the score of a single evaluation module at a lower level. m is the number of evaluation modules at the lowest level under this evaluation module. ω f refers to the weight set for a single evaluation module at the lowest level. s f represents the score of a single evaluation module at the lowest level. A single evaluation module at a lower level refers to any one of the lifestyle evaluation module (3211), the bad behavior evaluation module (3212), and the mental health evaluation module (3213); a3) Calculate the self-test data, that is: Among them, S F represents self-test data, ω F represents the weight of a single evaluation module at a lower level, s F represents the score of a single evaluation module at a lower level.

8. The intelligent system for blood pressure health assessment and management according to claim 1, characterized in that The cloud server (2) also includes a data mining module (216); The data mining module (216) assigns corresponding user scores to each user intervention behavior based on the intervention behavior data recorded by the user; The blood pressure health intervention module (33) includes an intervention tool recording module (331), an intervention tool sorting module (332), and an intervention tool addition and deletion module (333); The intervention tool recording module (331) includes a basic physiological parameter recording module (3311), a lifestyle management module (3312), a bad habit management module (3313), a health literacy cultivation module (3314), and a mental health module (3315); The basic physiological parameter recording module (3311), lifestyle management module (3312), bad habit management module (3313), health literacy cultivation module (3314), and mental health module (3315) are respectively set with weights ω Tpp , ω Tls , ω Tbb , ω Thl , ω Tmh ; The basic physiological parameter recording module (3311) includes a blood pressure recording module (33111) and a weight recording module (33112); The blood pressure recording module (33111) is used to record the user's high blood pressure, low blood pressure, heart rate, and recent change trends, and manage the user's blood pressure. The methods for obtaining the user's blood pressure data include manual entry, intelligent hardware Bluetooth transmission, picture recognition, and voice recognition. In addition, the user can also record the measurement site, measurement instrument, measurement location, recording personnel, measuring personnel, measurement time, and remarks; The weight recording module (33112) is used to record the user's weight and the change trend of the weight, and manage the user's weight; The blood pressure recording module (33111) and the weight recording module (33112) are respectively set with weights ω tbp , ω tbw , and the names of the user scores are p tbp , p tbw ; The lifestyle management module (3312) includes a diet recording module (33121), an exercise recording module (33122), a sleep recording module (33123), and a medication management module (33124); The diet record module (33121) is used to record the user's dietary collocation, dietary intake, eating habits, and manage the user's diet; The exercise record module (33122) is used to record the user's exercise situation and corresponding exercise level, and manage the user's exercise; The sleep record module (33123) is used to record the user's sleep situation and manage the user's sleep; The medication management module (33124) is used to record the user's medication situation and manage the user's medication; The diet record module (33121), exercise record module (33122), sleep record module (33123), and medication management module (33124) are respectively set with weights ω tdi , ω tex , ω tsl , ω tme , and the names of the user scores are respectively p tdi , p tex , p tsl , p tme ; The bad habit management module (3313) includes a smoking cessation module (33131) and an alcohol abstinence module (33132); The smoking cessation module (33131) is used to record the user's smoking data and assist the user in implementing a smoking cessation plan; The alcohol abstinence module (33132) is used to record the user's drinking data and assist the user in implementing an alcohol abstinence plan; The smoking cessation module (33131) and the alcohol abstinence module (33132) are respectively set with weights ω tci , ω tal , and the names of the user scores are respectively p tci , p tal ; The health literacy cultivation module (3314) includes a health knowledge learning module (33141) and a health knowledge assessment module (33142); The health knowledge learning module (33141) is used to display health knowledge related to hypertension in the cloud server for the user to learn; The health knowledge assessment module (33142) is used to test the knowledge learned by the user in the health knowledge learning module (33141); The health knowledge learning module (33141) and the health knowledge assessment module (33142) are respectively set with weights ω tle 、ω tte , and the names of the user scores are respectively p tle 、p tte ; The mental health module (3315) includes a breathing blood pressure reduction module (33151) and a mental management module (33152); The breathing blood pressure reduction module (33151) is used to assist the user in performing deep breathing blood pressure reduction training alone or in cooperation with intelligent hardware, and record the training data; The mental management module (33152) is used to record the user's mental situation and manage the user's mental health; The breathing blood pressure reduction module (33151) and the psychological management module (33152) are respectively set with weights ω tbs , ω tmm , and the names of the user scores are respectively p tbs , p tmm ; The intervention tool sorting module (332) is used to sort the intervention tools; The intervention tool sorting module (332) includes an automatic sorting module (3321) and a manual sorting module (3322); The automatic sorting module (3321) sorts according to the weights ω of each blood pressure health intervention tool t from large to small, and the weight ω t is preset by the system; The manual sorting module (3322) is used for the user to manually set the sorting of the blood pressure health intervention tools according to their own needs; The intervention tool addition and subtraction module (333) is used for the user to increase or decrease the blood pressure health intervention tools in the intervention tool record module (331) according to their own needs. The calculation steps of the intervention behavior data are as follows: b1) Calculate the scores of each intervention tool module at the lowest level through formula (5) or formula (6); s t = ω t f t (5) where s t is the score of a single intervention tool module at the lowest level, ω t is the weight set for a single intervention tool module at the lowest level, f t is the recording frequency of a single intervention tool module at the lowest level within the time period t; a single intervention tool module at the lowest level refers to any one of the blood pressure recording module (33111), weight recording module (33112), diet recording module (33121), exercise recording module (33122), sleep recording module (33123), medication management module (33124), smoking cessation module (33131), alcohol abstinence module (33132), health knowledge learning module (33141), health knowledge assessment module (33142), breathing blood pressure reduction module (33151), and psychological management module (33152); r is the number of times the user records in a single intervention tool module at the lowest level within the time period t, p ti is the user score of the user's i-th record in a single intervention tool module at the lowest level; b2) Calculate the single-module scores of the basic physiological parameter record module (3311), the lifestyle management module (3312), the bad habit management module (3313), the health literacy cultivation module (3314), and the mental health module (3315), that is: Among them, S T represents the score of a single intervention tool module at a lower level, n is the number of intervention tool modules at the lowest level under this intervention tool module, ω t refers to the weight set for a single intervention tool module at the lowest level, s t represents the score of a single intervention tool module at the lowest level. A single intervention tool module at a lower level refers to any one of the basic physiological parameter recording module (3311), lifestyle management module (3312), bad habit management module (3313), health literacy cultivation module (3314), and mental health module (3315); b3) Calculate the intervention behavior data, that is: Among them, S T represents the intervention behavior data, ω T represents the weight of a single intervention tool module at a lower level, s T represents the score of a single intervention tool module at a lower level.

9. The intelligent system for blood pressure health assessment and management according to claim 1, characterized in that It also includes an intelligent hardware terminal (7); The intelligent hardware terminal (7) includes a data monitoring module (71), a data display module (72), and a wireless transmission module (73); The data monitoring module (71) of the intelligent module (7) is used to monitor the user's blood pressure, exercise, weight, sleep, and slow breathing training data, and send the data to the blood pressure recording module (33111), weight recording module (33112), exercise recording module (33122), sleep recording module (33123), and breathing blood pressure reduction module (33141) through the wireless transmission module (73) for recording. The intelligent hardware includes but is not limited to intelligent sphygmomanometers, intelligent weighing scales, breathing blood pressure reduction devices, intelligent pedometers, intelligent watches, and intelligent bracelets.

10. The intelligent system for blood pressure health assessment and management according to claim 1, wherein The blood pressure health assessment index calculation module (211) includes a data preprocessing module (2111), a weight assignment module (2112), a health level assessment module (2113), and a function mapping module (2114); The data preprocessing module (2111) normalizes and standardizes the data collected by the blood pressure health data collection module (311) to obtain standard data, and transmits the standard data to the weight assignment module (2112) and the weight re-assignment module (2121); The blood pressure management level assessment index calculation module (212) includes a weight re-assignment module (2121), a management level assessment module (2122), and an index calculation module (2123); The weight re-assignment module (2121) is used to customize the weights of the first-level indicators of the system, and limit the sum of the weights of the disease history indicator and the physiological health indicator to be between 5% and 20%, and the sum of the weights of the mental health, lifestyle, environmental factors, and health literacy indicators to be between 80% and 95%; The management level assessment module (2122) obtains the blood pressure management level grade and the blood pressure management level assessment index through the weights output by the weight re-assignment module (2121) The blood pressure management level assessment index calculation module (212) calculates the user's blood pressure management weaknesses, and transmits the calculated prevention and control key indicators to the blood pressure management level assessment module (312) through the data transmission module (22) for display; The steps for the weight assignment module (2112) to process the standard data are as follows: c1) Construct the interaction and influence relationships between various blood pressure health indicators through the Decision Making Trial and Evaluation Laboratory method or the Fuzzy Interpretive Structural Modeling method; c2) Use the Analytic Network Process network structure to determine the relative weights of various blood pressure health indicators. The steps are as follows: c21) Analyze the blood pressure health problems, and obtain the mutual influence relationships between elements by combining elements into element groups or decomposing problems into elements; c22) Construct the ANP network structure; c23) According to the ANP network structure diagram, obtain the unweighted supermatrix; c24) Perform weighted processing on the unweighted supermatrix to obtain the weighted supermatrix; c25) Calculate the Cesaro sum and limit of the weighted supermatrix to obtain the limit matrix; c3) If the sum of the weights of the disease history indicator and the physiological health indicator is between 50% and 80%, and the sum of the weights of the mental health, lifestyle, environmental factors, and health literacy indicators is between 20% and 50%, then end. Otherwise, return to step c1). The health level assessment module (2113) obtains the blood pressure health level and the blood pressure health assessment index through the weights output by the weight assignment module (2112). The steps are as follows: d1) Divide the levels and establish an evaluation set V as follows: V = {V1, V2, …, V n} (9) Among them, V i (i = 1, 2, …, n) represents various possible evaluation results, where i is the result number; d2) Select evaluation factors and construct an index set U as follows: U = {U1, U2, …, U n}(10) Among them, U i (i = 1, 2, …, n) represents the first-level indicators of the system, which may also include second-level indicators u i ; d3) Conduct single-index evaluation and establish a fuzzy evaluation matrix R. R is composed of the membership degrees of each index as follows: In the formula, where R i =(r i1 , r i2 , …, r in ) is the evaluation vector of index u i , and r ij represents the membership degree of index u i with respect to the evaluation set v j ; d4) According to the importance of the indicators, for each indicator u i allocate the weight k i , and obtain the indicator weight set as follows: K = {k1, k2, …, k m [[ID=2}]}(12) d5) Using the theory of fuzzy mathematical operations The operator is used to evaluate the system status, and a vector element group B is obtained, that is: B = {b1, b2, …, b n} = K·R (13) where b i (i = 1, 2, …, n) represents the fuzzy comprehensive judgment index, and "·" is the fuzzy composition operator. The product and bounded type fuzzy composition operators are adopted, and the calculation formula is as follows: d6) Normalize the vector element group B and analyze the system evaluation results; The normalized vector element group B is as follows: d7) The function mapping module (2114) assigns a weight to each comment in the evaluation set V as x1, x2, x3, …, x n , and obtains the blood pressure health assessment index Y according to the following formula: d8) The blood pressure health index calculation module (213) converts the basic data, self-test data, and intervention behavior data into the final blood pressure health index through the following formula: BPHI = x·Y + y·S F + z·S T (17) Among them, x, y, and z respectively represent the weight ratios of the scores of the blood pressure health data collection module (311), the high-frequency self-test module for blood pressure influencing factors (32), and the blood pressure health intervention module (33) in the blood pressure health index. The sum of y and z is less than x. Y represents the blood pressure health assessment index Y calculated by the blood pressure health assessment index calculation module (211), S F represents the self-test data, S T represents the intervention behavior data. The management level assessment module (2122) obtains the blood pressure management level and the blood pressure management level assessment index through the weights output by the weight re-assignment module (2121). The steps are as follows: e1) Divide the levels and establish an evaluation set E as follows: E = {E1, E2, …, E n}(18) Among them, E i (i = 1, 2, …, n) represents various possible evaluation results, where i is the result number; e2) Select evaluation factors and construct an index set U as follows: U = {U1, U2, …, U n}(19) Among them, U i (i = 1, 2, …, n) represents the first-level indicators of the system, which may also include second-level indicators u i ; e3) Conduct single-index evaluation and establish a fuzzy evaluation matrix R. R is composed of the membership degrees of each index as follows: wherein R i =(r i1 , r i2 , …, r in ) is the evaluation vector of index u i , and r ij represents the membership degree of index u i with respect to the evaluation set v j ; e4) According to the importance of the indicators, for each indicator u i allocate the weight p i , and obtain the indicator weight set as follows: P = {p1, p2, …, p m}(21) e5) Using the theory of fuzzy mathematical operations The operator is used to evaluate the system status, and the vector element group C is obtained, that is: C = {c1, c2, …, c n} = P · R(22) where c i represents the fuzzy comprehensive evaluation index, and "·" is the fuzzy composition operator; i = 1, 2, …, n; The fuzzy comprehensive judgment index is as follows: e6) Normalize the vector element group C and analyze the system evaluation results. The comment corresponding to the highest membership degree is the most likely system evaluation; The normalized vector element group C is as follows: e7) The exponential calculation module (2123) assigns a weight to each comment in the evaluation set E, with the values being e1, e2, e3, …, e n , and obtains the blood pressure management level evaluation index Z according to the following formula, that is, the basic data of the blood pressure management level index, and transmits the basic data to the blood pressure management level index calculation module (214): e8) The blood pressure management level index calculation module (214) converts the basic data, self-test data, and intervention behavior data into the final blood pressure management level index through the following method; BPMI = α·Z + β·S F + γ…S T (26) Among them, BPMI is the blood pressure management level index, α, β, and γ respectively represent the weight ratios of the scores of the blood pressure health data collection module (311), the high-frequency self-test module for blood pressure influencing factors (32), and the blood pressure health intervention module (33) in the blood pressure management level index, Z represents the blood pressure health assessment index calculated by the blood pressure health assessment index calculation module (211), S F represents the self-test data, S T represents the intervention behavior data. The steps for the blood pressure management level assessment index calculation module (212) to calculate the prevention and control key indicators are as follows: f1) Establish an original data matrix according to the standard data obtained by the preprocessing module (2121): X i = [x i1 x i2 … x in (i = 1, 2, … m) (27) where X i is the standard data matrix of the first-level index U i and x ij is the standard data corresponding to the j-th second-level index u i under the first-level index U ij ; f2) Confirm the optimal and worst cases: In the formula, is the optimal case vector of the first-level index U i , a ij is the standard data under the optimal case of the index u ij ; is the worst-case vector of the first-level index U i , b ij is the standard data under the worst case of the index u ij ; f3) Calculate the distance C between each first-level indicator and the worst case i : In the formula, is the proximity of the first-level index U i to the optimal situation, is the proximity of the first-level index U i to the worst situation, ω ij is the weight assigned to the index u by the weight re-assignment module (2121) ij ; f4) The minimum C i The corresponding indicator is the key prevention and control indicator.

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