Rural health science popularization patrol robot system

By designing a rural health science popularization inspection robot system, using interactive health education, continuous health monitoring and supervision incentive modules, the problems of lack of health knowledge and poor health education among rural residents have been solved, and the effect of improving the efficiency of popularizing health knowledge and participating in residents' health management is achieved.

CN119871485APending Publication Date: 2025-04-25ZHENGZHOU UNIV
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Patent Information

Application Number
CN202510255832.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-05
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

Rural residents lack knowledge on prevention, diagnosis and treatment of common diseases, and lack of attractiveness in traditional health publicity methods, resulting in poor health education.

Method used

Design a rural health science popularization inspection robot system, including an interactive health education module, a continuous health monitoring module and a supervision and incentive module, interact with residents through voice, images, video and other methods, monitor physiological indicators in real time, and promote healthy behavior through incentive mechanisms.

Benefits of technology

It has improved the efficiency and effectiveness of popularizing health knowledge, timely discovered potential health problems, promoted residents to actively participate in health management, cultivate healthy living habits, and improve overall health level.

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Abstract

The invention belongs to the technical field of health education, and provides a rural health science popularization patrol robot system, which comprises a mutual health education module used for interacting with rural residents in voice, image and video modes and providing health education contents; the continuous health monitoring module is provided with a sensor technology and is used for monitoring physiological indexes of rural residents in real time; the supervision and excitation module is used for supervising health behaviors of residents and exciting the residents to actively participate in health management; the system can interact with rural residents in various modes, provides personalized health education contents, enhances the interestingness and interactivity of health education, and improves the popularization efficiency and effect of health knowledge; meanwhile, physiological indexes of rural residents are monitored in real time, monitoring results are fed back in time, potential health problems can be found in time, and occurrence and development of diseases are prevented.
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Description

Technical Field

[0001] The invention belongs to the technical field of health education, and in particular to a rural health science inspection robot system. Background Art

[0002] Many rural residents lack knowledge about the prevention, diagnosis and treatment of common diseases. In addition, the lack of appeal of traditional health promotion methods in rural areas (such as brochures, lectures, etc.) further exacerbates the problem of poor health education results. Therefore, how to effectively improve the health knowledge level of rural residents has become a topic that needs to be solved urgently.

[0003] To this end, those skilled in the art have proposed a rural health science inspection robot system to solve the problems raised by the background technology. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a rural health science inspection robot system to solve the problems in the prior art.

[0005] A rural health science inspection robot system, comprising:

[0006] Interactive health education module, which is used to interact with rural residents through voice, images, videos and other means, provide health education content, intelligently answer residents' health questions, and provide personalized feedback and suggestions;

[0007] Continuous health monitoring module, equipped with sensor technology, is used to monitor rural residents' physiological indicators in real time, such as heart rate, blood pressure, blood sugar, etc., and feed the monitoring results back to doctors and patients;

[0008] The supervision and incentive module is used to monitor residents' health behaviors, motivate them to actively participate in health management, and improve their self-care capabilities.

[0009] Preferably, the interactive health education module further includes:

[0010] A content library that stores health education content customized for rural residents of different ages, genders, and health conditions;

[0011] The intelligent question-and-answer system can retrieve relevant information from the content library and provide answers based on the questions or keywords entered by residents. The intelligent question-and-answer system adopts an NLP-based question-and-answer matching algorithm, which calculates the similarity between the user-input question and the question in the knowledge base, finds the most matching question and returns its corresponding answer.

[0012] Preferably, the continuous health monitoring module also includes a data analysis function for performing trend analysis on the monitored physiological indicator data and providing health warnings or improvement suggestions. The data analysis function uses a time series prediction model to predict future health risks.

[0013] Preferably, the supervisory incentive module includes:

[0014] Behavior recording function, used to record residents' health behavior data, such as exercise frequency, eating habits, etc.;

[0015] Incentive mechanism, which provides rewards or encouragements based on residents’ health behavior data to motivate residents to continue to participate in health management.

[0016] Preferably, the supervisory incentive module introduces a prediction model based on behavior change theory, which predicts the user's future behavior change trend by analyzing the user's health behavior data and formulates a personalized incentive strategy accordingly.

[0017] A processor is configured to execute the rural health science inspection robot system according to the above.

[0018] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned rural health science inspection robot system.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1. Through the interactive health education module, the present invention can interact with rural residents in various ways such as voice, image, video, etc., provide rich and diverse health education content, and intelligently answer health questions according to the personal conditions of residents, and provide personalized feedback and suggestions; this method not only enhances the fun and interactivity of health education, but also greatly improves the efficiency and effectiveness of popularizing health knowledge.

[0021] 2. The present invention uses a continuous health monitoring module to monitor the physiological indicators of rural residents, such as heart rate, blood pressure, blood sugar, etc. in real time, and promptly feeds back the monitoring results to doctors and patients; this helps to timely discover potential health problems and take necessary intervention measures, thereby effectively preventing the occurrence and development of diseases.

[0022] 3. The present invention records residents' health behavior data, such as exercise frequency, eating habits, etc., through a supervision and incentive module, and provides rewards or encouragements based on these data to motivate residents to actively participate in health management; the combination of this supervision mechanism and incentive mechanism helps to cultivate residents' healthy living habits, improve their self-care ability, and thus improve their overall health level. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a framework diagram of the rural health science inspection robot system of the present invention. DETAILED DESCRIPTION

[0024] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0025] Embodiment: The present invention provides a rural health science inspection robot system, such as Figure 1 As shown, including:

[0026] Interactive health education module, which is used to interact with rural residents through voice, images, videos and other means, provide health education content, intelligently answer residents' health questions, and provide personalized feedback and suggestions;

[0027] Continuous health monitoring module, equipped with sensor technology, is used to monitor rural residents' physiological indicators in real time, such as heart rate, blood pressure, blood sugar, etc., and feed the monitoring results back to doctors and patients;

[0028] The supervision and incentive module is used to monitor residents' health behaviors, motivate them to actively participate in health management, and improve their self-care capabilities.

[0029] From the above, we can see that the system can interact with rural residents in a variety of ways, provide personalized health education content, enhance the fun and interactivity of health education, and improve the efficiency and effectiveness of popularizing health knowledge; at the same time, real-time monitoring of the physiological indicators of rural residents and timely feedback of monitoring results will help to timely discover potential health problems and prevent the occurrence and development of diseases; in addition, by recording and analyzing residents' health behavior data, combined with reward and incentive mechanisms, residents are encouraged to actively participate in health management, cultivate healthy living habits, and improve their overall health level.

[0030] Furthermore, the interactive health education module also includes:

[0031] A content library that stores health education content customized for rural residents of different ages, genders, and health conditions;

[0032] The intelligent question-answering system can retrieve relevant information from the content library and provide answers based on the questions or keywords input by residents. The intelligent question-answering system adopts a question-answering matching algorithm based on NLP. The algorithm calculates the similarity between the user input question and the questions in the knowledge base, finds the most matching question and returns the corresponding answer. The formula of the question-answering matching algorithm includes:

[0033] TF-IDF(t,d)=TF(t,d)×IDF(t);

[0034] Among them, TF(t,d) represents the term frequency of word t in document d, and IDF(t) represents the inverse document frequency of word t.

[0035] From the above, we can see that the content library and intelligent question-and-answer system in the interactive health education module, by storing customized health education content and adopting an NLP-based question-and-answer matching algorithm, can provide personalized health education content for rural residents of different ages, genders, and health conditions, ensuring the pertinence and effectiveness of the information; while the intelligent question-and-answer system can quickly and accurately answer residents' health questions and provide timely and reliable answers and feedback; this combination not only improves the accuracy and interactivity of health education, but also enhances rural residents' acquisition and understanding of health knowledge, helping them to better manage their own health.

[0036] Furthermore, the continuous health monitoring module also includes a data analysis function for performing trend analysis on the monitored physiological indicator data and providing health warnings or improvement suggestions. The data analysis function uses a time series prediction model to predict future health risks. The formula of the time series prediction model includes:

[0037] y t =φ1y t-1 +φ2y t-2 +...+φ p y t-p +∈ t -θ1∈ t-1 -θ2∈ t-2 -...-θ q ∈ t-q ;

[0038] Among them, y t represents the physiological index value at time t, y t-1 ,y t-2 , ..., y t-p Represents the physiological index value of the past p moments, ∈ t ,∈ t-1 ,∈ t-2 , ...,∈ t-q represents the error term at the past q moments, and φ and θ are model parameters.

[0039] As can be seen from the above, the data analysis function contained in the continuous health monitoring module has extremely important beneficial effects by using a time series prediction model to perform trend analysis on the monitored physiological indicator data and provide health warnings or improvement suggestions accordingly. This function can track the changes in the physiological indicators of rural residents in real time and use advanced mathematical models to predict future health risks, thereby helping doctors and patients to detect potential health problems in a timely manner. This not only wins precious time for taking necessary intervention measures and effectively prevents the occurrence and development of diseases, but also provides patients with personalized health improvement suggestions, promotes the scientificity and accuracy of health management, and ultimately improves the overall health level of rural residents.

[0040] Furthermore, the supervisory incentive module includes:

[0041] Behavior recording function, used to record residents' health behavior data, such as exercise frequency, eating habits, etc.;

[0042] Incentive mechanism, which provides rewards or encouragements based on residents’ health behavior data to motivate residents to continue to participate in health management.

[0043] Furthermore, the supervision incentive module introduces a prediction model based on behavior change theory, which predicts the user's future behavior change trend by analyzing the user's health behavior data, and formulates a personalized incentive strategy accordingly. The formula of the prediction model includes:

[0044]

[0045] Where X represents the input health behavior data feature vector, W and b represent the weight and bias parameters of the logistic regression model respectively, and P(Y=1|X) represents the probability of a user's behavior change.

[0046] From the above, we can see that the supervision and incentive module combines the behavior recording function, incentive mechanism and prediction model based on behavior change theory. This module can comprehensively record and analyze the health behavior data of rural residents, such as exercise frequency, eating habits, etc., and then use the prediction model to accurately grasp the user's future behavior change trend. On this basis, the system can formulate personalized incentive strategies to effectively motivate residents to continue to participate in health management through rewards or encouragement. This mechanism not only promotes positive changes in residents' health behaviors, but also enhances their initiative and sustainability in participating in health management, providing strong support for cultivating healthy living habits and improving self-care capabilities.

[0047] Furthermore, the rural health science inspection robot system of the embodiment is compared with the current traditional health promotion method (comparative example), and the following table is obtained:

[0048]

[0049]

[0050] It can be seen from the above table that the rural health science inspection robot system of this embodiment is superior to traditional health promotion methods in terms of interactivity, personalization, health education efficiency, health monitoring, health behavior supervision and motivation, attractiveness and fun, and health improvement effect. This innovative health education model is more suitable for the needs of rural areas and helps to improve the health knowledge level and quality of life of rural residents.

[0051] The embodiment of the present application provides an electronic device, which is applicable to the above-mentioned rural health science inspection robot system, including:

[0052] Memory, used to protect computer programs and data;

[0053] Processor, used to run system programs.

[0054] An embodiment of the present application provides a computer storage medium, which is applicable to the above-mentioned rural health science inspection robot system, and performs hierarchical confidentiality management on the above-mentioned system and data in accordance with confidentiality management requirements.

[0055] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a system or a computer program product. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0056] The present application is described with reference to the flowcharts and / or block diagrams of the devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0057] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0058] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0059] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0060] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0061] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0062] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, commodity or device including the elements.

[0063] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A rural health science inspection robot system, characterized in that: include: An interactive health education module, which is used to interact with rural residents through voice, images, and videos, provide health education content, intelligently answer residents' health questions, and provide personalized feedback and suggestions; Continuous health monitoring module, equipped with sensor technology, is used to monitor rural residents’ physiological indicators such as heart rate, blood pressure, and blood sugar in real time, and feed the monitoring results back to doctors and patients; The supervision and incentive module is used to monitor residents' health behaviors, motivate them to actively participate in health management, and improve their self-care capabilities.

2. A rural health science inspection robot system as claimed in claim 1, characterized in that: The interactive health education module also includes: A content library that stores health education content customized for rural residents of different ages, genders, and health conditions; The intelligent question-and-answer system can retrieve relevant information from the content library and provide answers based on the questions or keywords entered by residents. The intelligent question-and-answer system adopts an NLP-based question-and-answer matching algorithm, which calculates the similarity between the user-input question and the question in the knowledge base, finds the most matching question and returns its corresponding answer.

3. A rural health science inspection robot system as claimed in claim 1, characterized in that: The continuous health monitoring module also includes a data analysis function for performing trend analysis on the monitored physiological indicator data and providing health warnings or improvement suggestions. The data analysis function uses a time series prediction model to predict future health risks.

4. A rural health science inspection robot system as claimed in claim 1, characterized in that: The supervision incentive module includes: Behavior recording function, used to record residents' health behavior data, including exercise frequency and eating habits; Incentive mechanism, providing rewards or encouragement based on residents’ health behavior data.

5. A rural health science inspection robot system as claimed in claim 4, characterized in that: The supervisory incentive module introduces a prediction model based on behavior change theory, which predicts the user's future behavior change trend by analyzing the user's health behavior data and formulates a personalized incentive strategy accordingly.

6. A processor, characterized in that: A rural health science inspection robot system configured to execute any one of claims 1 to 5.

7. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the rural health science inspection robot system according to any one of claims 1 to 5 is implemented.

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