Mental health evaluation report system and evaluation equipment

Abstract

The invention relates to the technical field of mental health evaluation, in particular to a mental health evaluation report system and evaluation equipment. Comprising a data acquisition module, a data transmission module, a data preprocessing module, an environment information fusion module, a health assessment model module, an assessment execution module and a cloud server, the problem that a traditional assessment mode lacks real-time performance and continuity is effectively solved by integrating real-time data acquisition, transmission and processing modules, and meanwhile, the real-time performance of the system is improved. The system is incorporated into an environmental information fusion module, the influence of environmental factors on mental health is fully considered, the assessment result is more comprehensive and personalized, in addition, due to introduction of a cloud server and intelligent data processing and analysis ability, the ability of the system to process large-scale assessment data is improved, the requirement for efficient management is met, and the system is more practical. Therefore, the accuracy and efficiency of mental health evaluation are comprehensively optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of mental health assessment, and in particular to a mental health assessment report system and assessment equipment. Background Art

[0002] Mental health assessment has significant beneficial effects on individuals and society. It can not only detect potential mental health problems early and provide timely intervention and treatment for individuals, but also reduce the social burden caused by mental health problems. Through regular assessment, individuals can understand their own mental health status, adjust their lifestyle and work rhythm, thereby improving their quality of life and work efficiency.

[0003] In the existing technology, mental health assessment usually relies on traditional questionnaire surveys, face-to-face psychological counseling and other methods. Although these methods can provide information on mental health to a certain extent, they have many limitations. For example, questionnaire surveys may be affected by subjective factors of the subjects, resulting in inaccurate results; face-to-face psychological counseling requires professional psychologists and is limited by time and location, making it difficult to promote on a large scale.

[0004] However, on the one hand, traditional assessment methods lack real-time and continuity, and cannot promptly reflect changes in an individual's mental health status. On the other hand, existing assessment tools and methods often do not fully consider the impact of environmental factors on mental health, resulting in incomplete and individuated assessment results. In addition, most existing assessment systems lack intelligent data processing and analysis capabilities, making it difficult to meet the needs of large-scale assessment and efficient management. Summary of the invention

[0005] The purpose of the present invention is to provide a mental health assessment reporting system and assessment equipment, aiming to solve the technical problems in the prior art that, on the one hand, traditional assessment methods lack real-time and continuity and cannot timely reflect changes in an individual's mental health status; on the other hand, existing assessment tools and methods often do not fully consider the impact of environmental factors on mental health, resulting in incomplete and individuated assessment results. In addition, most existing assessment systems lack intelligent data processing and analysis capabilities, making it difficult to meet the needs of large-scale assessment and efficient management.

[0006] To achieve the above object, a mental health assessment report system adopted by the present invention includes a data collection module, a data transmission module, a data preprocessing module, an environmental information fusion module, a health assessment model module, an assessment execution module, and a cloud server. The data collection module includes a questionnaire receiving unit, a physical sign data receiving unit, and a location data receiving unit. The environmental information fusion module includes a location matching unit, an environmental data acquisition unit, and a data correction unit. The health assessment model module includes a model library unit, a model matching unit, and a dynamic optimization unit. The data collection module, the data transmission module, the data preprocessing module, the environmental information fusion module, the health assessment model module, and the assessment execution module are all connected to the cloud server;

[0007] The questionnaire receiving unit is used to receive questionnaire data input by the user through the interaction interface. The physical sign data receiving unit is used to receive physiological sign data collected by the physical sign sensor. The location data receiving unit is used to obtain geographical location information generated by the location sensor;

[0008] The data transmission module is used to upload data to the cloud server in real time;

[0009] The data preprocessing module is used to eliminate outliers and duplicate data in the questionnaire data, physiological sign data, and geographical location information, convert them into a standardized format, and store them at the same time;

[0010] The location matching unit is used to associate with the environmental information platform according to the geographical location information. The environmental data acquisition unit is used to extract air quality, noise level, and weather condition data from the platform. The data correction unit is used to associate the environmental data with the user's physical sign data for adjusting the parameters of the health assessment model;

[0011] The model library unit is used to store multiple mental health assessment models constructed based on clinical data. The model matching unit is used to automatically select an appropriate assessment model according to the user data characteristics. The dynamic optimization unit is used to continuously optimize the model parameters according to the environmental data and the user's historical data;

[0012] The assessment execution module is used to input the questionnaire data, physiological sign data, and geographical location information into the selected model and execute the model algorithm to generate a preliminary assessment result.

[0013] Among them, the data transmission module includes a data encryption unit and an Internet of Things transmission unit. The data encryption unit and the Internet of Things transmission unit are both connected to the cloud server;

[0014] The data encryption unit is used to encrypt the collected questionnaire data, physiological sign data, and geographical location information;

[0015] The Internet of Things transmission unit is used to upload the encrypted data to the cloud server in real time through a wireless communication protocol.

[0016] Among them, the data preprocessing module includes a data cleaning unit, a data formatting unit, and a data storage unit, and the data cleaning unit, the data formatting unit, and the data storage unit are all connected to the cloud server;

[0017] The data cleaning unit is used to eliminate outliers and duplicate data in the questionnaire data, physiological sign data, and geographical location information;

[0018] The data formatting unit is used to convert the cleaned data into a unified standardized format;

[0019] The data storage unit is used to temporarily store the formatted data in the cloud server.

[0020] Among them, the evaluation execution module includes a multi-source data fusion unit and a calculation unit, and the health evaluation model module and the calculation unit are both connected to the cloud server;

[0021] The multi-source data fusion unit is used to input the questionnaire data, physiological sign data, and geographical location information into a selected model;

[0022] The calculation unit is used to execute a model algorithm to generate a preliminary evaluation result.

[0023] Among them, the evaluation execution module further includes a result calibration unit, and the health evaluation model module is connected to the cloud server;

[0024] The result calibration unit is used to perform secondary correction on the result by combining the user's historical evaluation data.

[0025] Among them, the mental health assessment report system further includes a report generation module, and the report generation module includes a template calling unit, a content filling unit, and a visualization unit, and the template calling unit, the content filling unit, and the visualization unit are all connected to the cloud server;

[0026] The template calling unit is used to select a preset report template according to the evaluation result;

[0027] The content filling unit is used to fill the health condition overview, potential problem tips, and improvement suggestions into the template;

[0028] The visualization unit is used to generate charts to intuitively display the health trend.

[0029] The present invention also provides a mental health assessment device, which includes a mental health assessment report system, and further includes a physical sign sensor unit, a location sensor unit, a user interaction interface unit, and a data communication unit. The physical sign sensor unit, the location sensor unit, the user interaction interface unit, and the data communication unit are all connected to the cloud server;

[0030] The physical sign sensor unit is used to collect the physiological sign data of the user in real time, including heart rate, blood pressure, and sleep quality;

[0031] The location sensor unit is used to obtain the geographical location information of the user;

[0032] The user interaction interface unit is used to display a health questionnaire and receive the questionnaire information input by the user;

[0033] The data communication unit is used to transmit the collected questionnaire data, physiological sign data, and geographical location information to the cloud server through Internet of Things technology.

[0034] A mental health assessment report system and assessment device of the present invention include a data acquisition module, a data transmission module, a data preprocessing module, an environmental information fusion module, a health assessment model module, an assessment execution module, and a cloud server. The data acquisition module includes a questionnaire receiving unit, a physical sign data receiving unit, and a location data receiving unit. The environmental information fusion module includes a location matching unit, an environmental data acquisition unit, and a data correction unit. The health assessment model module includes a model library unit, a model matching unit, and a dynamic optimization unit. By integrating real-time data acquisition, transmission, and processing modules, the problem of lack of real-time performance and continuity in traditional assessment methods is effectively solved. At the same time, the environmental information fusion module is incorporated into the system, fully considering the impact of environmental factors on mental health, making the assessment results more comprehensive and personalized. In addition, the introduction of the cloud server and the intelligent data processing and analysis capabilities not only improve the system's ability to process large-scale assessment data, but also meet the needs of efficient management, thus comprehensively optimizing the accuracy and efficiency of mental health assessment. Description of the Drawings

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0036] Figure 1 It is a schematic diagram of the principle of the mental health assessment report system and assessment device of the present invention.

[0037] 1 - Data acquisition module, 2 - Data transmission module, 3 - Data pre - processing module, 4 - Environmental information fusion module, 5 - Health assessment model module, 6 - Assessment execution module, 7 - Cloud server, 8 - Questionnaire receiving unit, 9 - Vital sign data receiving unit, 10 - Location data receiving unit, 11 - Location matching unit, 12 - Environmental data acquisition unit, 13 - Data correction unit, 14 - Model library unit, 15 - Model matching unit, 16 - Dynamic optimization unit, 17 - Data encryption unit, 18 - Internet of Things transmission unit, 19 - Data cleaning unit, 20 - Data formatting unit, 21 - Data storage unit, 22 - Multi - source data fusion unit, 23 - Computing unit, 24 - Result calibration unit, 25 - Report generation module, 26 - Template calling unit, 27 - Content filling unit, 28 - Visualization unit, 29 - Vital sign sensor unit, 30 - Location sensor unit, 31 - User interaction interface unit, 32 - Data communication unit, 33 - Feedback interaction module, 34 - System maintenance module, 35 - Report pushing unit, 36 - Online consultation unit, 37 - User feedback unit, 38 - Log recording unit, 39 - Permission management unit, 40 - Abnormal alarm unit. Detailed implementation manners

[0038] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present invention, and should not be construed as limiting the present invention.

[0039] Please refer to Figure 1 , the present invention provides a mental health assessment report system, including a data acquisition module 1, a data transmission module 2, a data pre - processing module 3, an environmental information fusion module 4, a health assessment model module 5, an assessment execution module 6 and a cloud server 7. The data acquisition module 1 includes a questionnaire receiving unit 8, a vital sign data receiving unit 9 and a location data receiving unit 10. The environmental information fusion module 4 includes a location matching unit 11, an environmental data acquisition unit 12 and a data correction unit 13. The health assessment model module 5 includes a model library unit 14, a model matching unit 15 and a dynamic optimization unit 16. The data acquisition module 1, the data transmission module 2, the data pre - processing module 3, the environmental information fusion module 4, the health assessment model module 5 and the assessment execution module 6 are all connected to the cloud server 7;

[0040] The questionnaire receiving unit 8 is used to receive the questionnaire data input by the user through the interaction interface. The physiological sign data receiving unit 9 is used to receive the physiological sign data collected by the physiological sign sensor. The location data receiving unit 10 is used to obtain the geographical location information generated by the location sensor.

[0041] The data transmission module 2 is used to upload the data to the cloud server 7 in real time.

[0042] The data preprocessing module 3 is used to eliminate the outliers and duplicate data in the questionnaire data, physiological sign data and geographical location information, convert them into a standardized format, and store them at the same time.

[0043] The location matching unit 11 is used to associate with the environmental information platform according to the geographical location information. The environmental data acquisition unit 12 is used to extract the air quality, noise level and weather condition data from the platform. The data correction unit 13 is used to associate the environmental data with the user's physiological sign data for adjusting the parameters of the health assessment model.

[0044] The model library unit 14 is used to store multiple mental health assessment models constructed based on clinical data. The model matching unit 15 is used to automatically select an appropriate assessment model according to the user data characteristics. The dynamic optimization unit 16 is used to continuously optimize the model parameters according to the environmental data and the user's historical data.

[0045] The assessment execution module 6 is used to input the questionnaire data, physiological sign data and geographical location information into the selected model and execute the model algorithm to generate a preliminary assessment result.

[0046] In this embodiment, through the comprehensive collection of questionnaire data, physiological sign data and geographical location information, the limitations of traditional single questionnaire or sign monitoring are broken through, providing a multi-dimensional data basis for assessment. Each module has a clear division of labor and is connected to the cloud server 7 to ensure the process flow of data from collection to analysis, improving the system operation efficiency. By associating external environmental data through the environmental information fusion module 4, the assessment model can dynamically adjust parameters, enhancing the environmental adaptability of the results.

[0047] Furthermore, the data transmission module 2 includes a data encryption unit 17 and an Internet of Things transmission unit 18. Both the data encryption unit 17 and the Internet of Things transmission unit 18 are connected to the cloud server 7.

[0048] The data encryption unit 17 is used to encrypt the collected questionnaire data, physiological sign data and geographical location information.

[0049] The Internet of Things transmission unit 18 is used to upload the encrypted data to the cloud server 7 in real time through a wireless communication protocol.

[0050] In this embodiment, user sensitive data (such as physiological signs and geographic location) is encrypted to prevent the data from being stolen or tampered with during transmission. The Internet of Things transmission unit 18 adopts wireless communication protocols (such as LoRa and NB-IoT) to support low-latency and high-reliability data upload to ensure the continuity of the evaluation process. At the same time, the application of Internet of Things technology makes the system adaptable to a variety of terminal devices, which is convenient for large-scale deployment.

[0051] Furthermore, the data preprocessing module 3 includes a data cleaning unit 19, a data formatting unit 20 and a data storage unit 21, and the data cleaning unit 19, the data formatting unit 20 and the data storage unit 21 are all connected to the cloud server 7;

[0052] The data cleaning unit 19 is used to remove abnormal values ​​and duplicate data in the questionnaire data, physiological sign data and geographic location information;

[0053] The data formatting unit 20 is used to convert the cleaned data into a unified standardized format;

[0054] The data storage unit 21 is used to temporarily store the formatted data in the cloud server 7 .

[0055] In this embodiment, the cleaning unit removes outliers and duplicate data to reduce the interference of noise on model analysis. The formatting unit unifies the data format (such as JSON or XML) to eliminate data heterogeneity and provide consistent input for subsequent modules. The cloud server 7 temporarily stores the preprocessed data to ensure that the data is not lost during the analysis process and supports historical data backtracking.

[0056] Further, the assessment execution module 6 includes a multi-source data fusion unit 22 and a calculation unit 23, and the health assessment model module 5 and the calculation unit 23 are both connected to the cloud server 7;

[0057] The multi-source data fusion unit 22 is used to input the questionnaire data, physiological sign data and geographical location information into the selected model;

[0058] The calculation unit 23 is used to execute the model algorithm to generate a preliminary evaluation result.

[0059] In this embodiment, the questionnaire, physical signs and environmental data are integrated into the model through the fusion unit to avoid the one-sidedness of a single data source. The calculation unit 23 adopts parallel algorithms or edge computing technology to accelerate model calculations and shorten evaluation time. The model resources are then dynamically called through the cloud server 7 to support stable operation in high-concurrency scenarios.

[0060] Further, the evaluation execution module 6 further includes a result calibration unit 24, and the mental health assessment model module 5 is connected to the cloud server 7;

[0061] The result calibration unit 24 is used to perform secondary correction on the results by combining the user's historical evaluation data.

[0062] In this embodiment, by combining the user's historical evaluation data (such as past mental state, treatment records) to correct the preliminary results, accidental errors are reduced, and the calibrated results are fed back to the mental health assessment model module 5 to form a closed-loop process of "data collection - analysis - calibration - optimization".

[0063] Further, the mental health assessment report system further includes a report generation module 25, and the report generation module 25 includes a template calling unit 26, a content filling unit 27, and a visualization unit 28. The template calling unit 26, the content filling unit 27, and the visualization unit 28 are all connected to the cloud server 7;

[0064] The template calling unit 26 is used to select a preset report template according to the evaluation results;

[0065] The content filling unit 27 is used to fill the health status overview, potential problem prompts, and improvement suggestions into the template;

[0066] The visualization unit 28 is used to generate charts to intuitively display the health trend.

[0067] In this embodiment, the template calling unit 26 matches a preset template (such as depression tendency, anxiety level) according to the evaluation results, reducing manual intervention. The content filling unit 27 automatically fills the health overview, problem prompts, and suggestions into the template to ensure the professionalism and standardization of the report. The visualization unit 28 generates charts such as line charts and heat maps to intuitively display the health trend (such as sleep quality fluctuations, mood changes), reducing the user's understanding threshold.

[0068] Further, the mental health assessment report system further includes a feedback interaction module 33 and a system maintenance module 34. The feedback interaction module 33 and the system maintenance module 34 are both connected to the cloud server 7.

[0069] Further, the feedback interaction module 33 includes a report push unit 35, an online consultation unit 36, and a user feedback unit 37. The report push unit 35, the online consultation unit 36, and the user feedback unit 37 are all connected to the cloud server 7;

[0070] The report push unit 35 is used to send the generated report to the user's mobile device or medical terminal;

[0071] The online consultation unit 36 is used to provide a real-time communication interface with medical experts;

[0072] The user feedback unit 37 is used to receive the user's rating of the report and improvement suggestions.

[0073] In this embodiment, the report pushing unit 35 is used to send the generated report to the user's mobile device or medical terminal, the online consultation unit 36 is used to provide a real-time communication interface with medical experts, and the user feedback unit 37 is used to receive the user's rating of the report and improvement suggestions.

[0074] Furthermore, the system maintenance module 34 includes a log recording unit 38, a permission management unit 39, and an exception alarm unit 40, and the log recording unit 38, the permission management unit 39, and the exception alarm unit 40 are all connected to the cloud server 7.

[0075] The log recording unit 38 is used to store all data operation and evaluation process records;

[0076] The permission management unit 39 is used to control the access permissions of different users to data;

[0077] The exception alarm unit 40 is used to monitor the system operation status and trigger an alarm in case of a failure.

[0078] In this embodiment, the log recording unit 38 is used to store all data operation and evaluation process records, the permission management unit 39 is used to control the access permissions of different users to data, and the exception alarm unit 40 is used to monitor the system operation status and trigger an alarm in case of a failure.

[0079] The present invention also provides a mental health assessment device, which includes a mental health assessment report system, and further includes a physical sign sensor unit 29, a location sensor unit 30, a user interaction interface unit 31, and a data communication unit 32. The physical sign sensor unit 29, the location sensor unit 30, the user interaction interface unit 31, and the data communication unit 32 are all connected to the cloud server 7;

[0080] The physical sign sensor unit 29 is used to collect the user's physiological sign data in real time, including heart rate, blood pressure, and sleep quality;

[0081] The location sensor unit 30 is used to obtain the user's geographical location information;

[0082] The user interaction interface unit 31 is used to display a health questionnaire and receive the questionnaire information input by the user;

[0083] The data communication unit 32 is used to transmit the collected questionnaire data, physiological sign data, and geographical location information to the cloud server 7 through Internet of Things technology;

[0084] In this embodiment, through the sign sensor unit 29 (such as a wearable device) and the user interaction interface unit 31 (such as a touch screen), data collection and interaction can be achieved anytime and anywhere. The position sensor unit 30 (such as GPS) obtains the geographical location in real time, supports the dynamic association of environmental data, and the data communication unit 32 is connected to the cloud server 7 through Internet of Things technology, enabling the medical team to remotely monitor the user's status and intervene in potential risks in a timely manner.

[0085] In the present invention, aiming at the problems of lack of real-time and continuity in traditional evaluations, the system uses the sign sensors, position sensors, and user interaction interfaces in the data collection module 1 to collect the user's physiological sign data (such as heart rate, blood pressure, sleep quality), geographical location information, and questionnaire feedback in real time, and with the help of the Internet of Things transmission unit 18 in the data transmission module 2, uploads the encrypted data to the cloud server 7 in real time, ensuring the dynamics and continuity of data collection and analysis. At the same time, the cloud server 7 continuously receives and stores updated data, and combines the user's historical evaluation records to continuously adjust the model parameters through the dynamic optimization unit 16 of the health evaluation model module 5, realizing long-term tracking and dynamic evaluation of the user's mental health status, breaking through the limitations of traditional single evaluations.

[0086] In the present invention, aiming at the problem that existing tools ignore the influence of environmental factors, the system designs the environmental information fusion module 4, which associates with the environmental information platform through the position matching unit to obtain environmental data such as air quality, noise level, and weather conditions in the area where the user is located in real time, and the data correction unit 13 performs correlation analysis on the environmental data and physiological sign data. For example, by analyzing the change in the user's sleep quality in a high-noise environment or the impact of extreme weather on heart rate fluctuations, the weight parameters of the health evaluation model are corrected to make the evaluation results more in line with the user's actual life scenario, significantly improving the comprehensiveness and personalization level of the evaluation.

[0087] In the present invention, to address the problem of insufficient intelligence in existing systems, the system realizes intelligent data processing and analysis capabilities through the collaboration of multiple modules. The data preprocessing module 3 automatically eliminates outliers and unifies the data format through the data cleaning unit 19 and the formatting unit, ensuring the data quality of the input model. The model library unit 14 of the health assessment model module 5 internally stores a variety of assessment models based on clinical data. The model matching unit 15 automatically selects the optimal model according to user data characteristics (such as age, gender, medical history) and environmental data, and continuously iteratively optimizes the model parameters in combination with the dynamic optimization unit 16 using machine learning algorithms. In addition, the multi-source data fusion unit 22 of the evaluation execution module 6 integrates multi-dimensional data and inputs it into the model. After the calculation unit 23 executes the algorithm to generate a preliminary result, the result calibration unit 24 further performs secondary correction in combination with historical data. Finally, the report generation module 25 generates a personalized report containing visual charts. This series of intelligent processes not only improves the data processing efficiency but also supports large-scale user concurrent evaluation, meeting the requirements of efficient management.

[0088] The above-disclosed is only a preferred embodiment of the present invention. Of course, it cannot be used to limit the scope of the rights of the present invention. Those of ordinary skill in the art can understand all or part of the processes of implementing the above embodiments, and the equivalent changes made according to the claims of the present invention still fall within the scope covered by the invention.

Claims

1. A mental health assessment and reporting system, characterized in that: It includes a data acquisition module, a data transmission module, a data preprocessing module, an environmental information fusion module, a health assessment model module, an assessment execution module and a cloud server, wherein the data acquisition module includes a questionnaire receiving unit, a vital sign data receiving unit and a position data receiving unit, the environmental information fusion module includes a position matching unit, an environmental data acquisition unit and a data correction unit, the health assessment model module includes a model library unit, a model matching unit and a dynamic optimization unit, and the data acquisition module, the data transmission module, the data preprocessing module, the environmental information fusion module, the health assessment model module and the assessment execution module are all connected to the cloud server; The questionnaire receiving unit is used to receive the questionnaire data input by the user through the interactive interface, the vital sign data receiving unit is used to receive the physiological vital sign data collected by the vital sign sensor, and the location data receiving unit is used to obtain the geographical location information generated by the location sensor; The data transmission module is used to upload data to the cloud server in real time; The data preprocessing module is used to remove abnormal values ​​and duplicate data from the questionnaire data, physiological sign data and geographic location information, convert them into a standardized format, and store them at the same time; The location matching unit is used to associate the environmental information platform according to the geographical location information, the environmental data acquisition unit is used to extract the air quality, noise level and weather condition data from the platform, and the data correction unit is used to associate the environmental data with the user's vital sign data to adjust the parameters of the health assessment model; The model library unit is used to store a variety of mental health assessment models built based on clinical data, the model matching unit is used to automatically select an adaptive assessment model according to user data characteristics, and the dynamic optimization unit is used to continuously optimize model parameters according to environmental data and user historical data; The evaluation execution module is used to input questionnaire data, physiological sign data and geographic location information into the selected model, and execute the model algorithm to generate preliminary evaluation results.

2. The mental health assessment report system according to claim 1, characterized in that: The data transmission module includes a data encryption unit and an Internet of Things transmission unit, and both the data encryption unit and the Internet of Things transmission unit are connected to the cloud server; The data encryption unit is used to encrypt the collected questionnaire data, physiological sign data and geographical location information; The Internet of Things transmission unit is used to upload the encrypted data to the cloud server in real time through a wireless communication protocol.

3. The mental health assessment report system according to claim 2, characterized in that: The data preprocessing module includes a data cleaning unit, a data formatting unit and a data storage unit, and the data cleaning unit, the data formatting unit and the data storage unit are all connected to the cloud server; The data cleaning unit is used to remove abnormal values ​​and duplicate data in the questionnaire data, physiological sign data and geographic location information; The data formatting unit is used to convert the cleaned data into a unified standardized format; The data storage unit is used to temporarily store the formatted data in the cloud server.

4. The mental health assessment report system according to claim 3, characterized in that the evaluation execution module includes a multi-source data fusion unit and a calculation unit, and both the health assessment model module and the calculation unit are connected to the cloud server; the multi-source data fusion unit is used to input questionnaire data, physiological sign data and geographical location information into a selected model; the calculation unit is used to execute a model algorithm to generate a preliminary evaluation result.

5. The mental health assessment report system according to claim 4, characterized in that the evaluation execution module further includes a result calibration unit, and the health assessment model module is connected to the cloud server; the result calibration unit is used to perform secondary correction on the result by combining the user's historical evaluation data.

6. The mental health assessment report system according to claim 5, characterized in that the mental health assessment report system further includes a report generation module, and the report generation module includes a template calling unit, a content filling unit and a visualization unit, and the template calling unit, the content filling unit and the visualization unit are all connected to the cloud server; the template calling unit is used to select a preset report template according to the evaluation result; the content filling unit is used to fill the health condition overview, potential problem prompts and improvement suggestions into the template; the visualization unit is used to generate charts to intuitively display the health trend.

7. A mental health assessment device, including the mental health assessment report system according to claim 6, characterized in that it further includes a sign sensor unit, a position sensor unit, a user interaction interface unit and a data communication unit, and the sign sensor unit, the position sensor unit, the user interaction interface unit and the data communication unit are all connected to the cloud server; the sign sensor unit is used to collect the user's physiological sign data in real time, including heart rate, blood pressure and sleep quality; the position sensor unit is used to obtain the user's geographical location information; the user interaction interface unit is used to display a health questionnaire and receive the questionnaire information input by the user; the data communication unit is used to transmit the collected questionnaire data, physiological sign data and geographical location information to the cloud server through Internet of Things technology.

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