Intelligent management method and system for mental health

Abstract

The invention is suitable for the field of mental health management, and provides a mental health intelligent management method and system, and the system comprises a mobile management device, a management system terminal, and a scene interaction system. The mobile management equipment uses intelligent wearable equipment and performs near field communication with the management system terminal; the mobile management equipment comprises a flash memory, a mass memory, a body health detection system, a recording system, a positioning system, an intelligent analysis processing unit, a medicine management system, a diet management system and an authority management system; the scene interaction system comprises electrical equipment in a building and a handheld mobile terminal, the electrical equipment is provided with identification equipment, and the identification equipment and the handheld mobile terminal are connected with a management system terminal through a network. Therefore, according to the invention, a targeted intelligent tool and an accurate data analysis system can be used, and the crisis of mental health of the patient can be effectively predicted and prevented.

Description

Technical Field

[0001] The present invention is applicable to the field of mental health management and provides a mental health intelligent management method and system. Background Art

[0002] The diagnosis, treatment and long-term management of mental health problems require comprehensive consideration of the patient's psychological, physiological and social factors, which interact in a complex manner and require personalized and detailed management strategies. Key management issues include how to achieve effective case management, how to provide continuous psychological support, how to accurately evaluate treatment effects, and how to ensure that patients follow doctor's orders and receive timely intervention.

[0003] Traditional mental health care systems often rely on manual or computerized records and doctors’ subjective judgment. These systems may include electronic medical records and simple remote monitoring tools, but lack intelligent data analysis and feedback mechanisms. In addition, traditional systems have limited interactivity and personalization, and cannot fully utilize advanced technologies to improve treatment outcomes and patients’ quality of life.

[0004] With the development of intelligent management systems, intelligent systems can monitor patients' status changes in real time through data analysis, artificial intelligence algorithms and remote monitoring technologies. However, the current mental health medical system has significant deficiencies in intelligence, lacks targeted intelligent tools and accurate data analysis systems, and is unable to effectively predict and prevent patients' mental health crises. Summary of the invention

[0005] In view of the above-mentioned defects, the purpose of the present invention is to provide an intelligent mental health management method and system, the purpose of which is to solve the problems raised in the background technology, including a mobile management device, a management system terminal and a scene interaction system; the mobile management device uses an intelligent wearable device, and the mobile management device and the management system terminal can perform near-field communication; the mobile management device includes a flash memory, a large-capacity memory, a physical health detection system, a recording system, a positioning system, an intelligent analysis and processing unit, a drug management system, a diet management system and an authority management system; the scene interaction system includes electrical equipment in a building and a handheld mobile terminal, the electrical equipment is equipped with an identification device, and the identification device and the handheld mobile terminal are connected to the management system terminal through a network.

[0006] Furthermore, the physical health detection system includes internal sensors, including an optical heart rate monitor, an accelerometer and a gyroscope; the recording system includes a high-quality microphone on the mobile management device; and the positioning system includes a built-in GPS receiver in the mobile management device.

[0007] Furthermore, the intelligent analysis and processing unit includes a location comparison and analysis module; the location comparison and analysis module is based on the positioning system and geographic fence technology to implement an alarm when the mobile management device is about to leave the designated area.

[0008] Furthermore, the intelligent analysis and processing unit includes an audio-visual comparison and analysis module; the audio-visual comparison and analysis module is based on the recording system and cooperates with the deep learning technology of the management system terminal to analyze and identify the recording content within a time period.

[0009] Furthermore, the audio-visual comparison and analysis module records the audio and video of the surrounding environment in real time through a recording system, and transmits the audio files within a set time period to the management system terminal by wireless means;

[0010] The audio-visual comparison and analysis module includes an audio-visual analysis system and a language extraction and analysis system;

[0011] The audio-visual analysis system includes a data preprocessing unit; the data preprocessing unit converts the data into a spectrum or extracts a feature vector by means of short-time Fourier transform or Mel-frequency cepstrum coefficients, and then a convolutional neural network inside the management system terminal extracts features and performs classification analysis to obtain an audio-visual analysis result label, and stores the result in a storage device inside the management system terminal;

[0012] The language extraction and analysis system includes a speech recognition engine and a sensitive word library; fragmented audio with labels similar to "speaking sound" is sent to the speech recognition engine to extract text information; and the sensitive word library and the text information recognized by the speech recognition engine are automatically identified through deep learning technology to identify dangerous behaviors that patients may exhibit.

[0013] Furthermore, the authority management system includes a unique ID code inside each mobile management device, and the management system terminal grants the mobile management device authority to use the equipment, area or food items within its own authority.

[0014] Furthermore, the mental health intelligent management system is characterized by comprising a management method, comprising the following steps:

[0015] S1.1 Initialize the authority management system, and the display device displays the authority list;

[0016] S1.2 Initialize the mobile management device, and the mobile management device connects and interacts with the rights management system via wired or wireless means;

[0017] S1.3 The scene interaction system identifies the unique ID of the mobile management device and takes corresponding actions based on the permission information of the device.

[0018] Furthermore, the process of confirming the authority of the identification device to the mobile management device includes the following steps:

[0019] S3.1 Initialize the authority management system, the authority management system enters the networking state, and updates the authority list; each identification device has a unique device code, which corresponds to the authorized item of the corresponding authorized ID in the authority list;

[0020] S3.2 After the identification device is turned on, it is initialized, and the authority management system is connected to the identification devices at each point;

[0021] S3.3 The identification device identifies the ID of the mobile management device through near field communication;

[0022] S3.4 The identification device sends the identification ID to the rights management system;

[0023] S3.5 The rights management system compares the ID with the rights information in the rights list;

[0024] S3.51 If the permissions are consistent, the permission management system sends a permission consistency instruction to the identification device;

[0025] S3.52 If the permissions are inconsistent, the permission management system sends a permission inconsistency instruction to the identification device;

[0026] S6.1 The identification device sends instructions to the execution device.

[0027] Furthermore, the identification device confirms the authority of the mobile management device according to the authorization list, including the following steps:

[0028] S4.1 Initialize the authority management system, the authority management system enters the networking state, and updates the authority list;

[0029] S4.2 The authority management system is connected to each identification device, and the ID information corresponding to the authority of the current identification device in the authority list is sent to the identification device to establish the authority list of the current device;

[0030] S4.3 The identification device identifies the ID of the mobile management device through near field communication;

[0031] S4.4 The identification device compares the ID with the ID information in the authorized list;

[0032] S4.41 If the permissions are consistent, the identification device sends a permission consistency instruction to the execution device;

[0033] S4.42 If the permissions are inconsistent, the identification device sends an inconsistent permissions instruction to the execution device.

[0034] Furthermore, the diet management system includes a patient diet management method including the following steps:

[0035] S5.1 Initialize the catering identification device, which obtains the authorization information of all IDs by connecting to the management system terminal;

[0036] S5.2 The catering identification device obtains the ID information of the mobile management device through near field communication technology;

[0037] S5.3 The catering identification device compares the ID with the authorization information of all IDs;

[0038] S5.31 If the authorization information of all IDs includes this ID, the catering identification device will deduct the assets under the device ID;

[0039] S5.32 If this ID is not included in the authorization information of all IDs, the catering identification device will not deduct the assets under the device ID.

[0040] Therefore, the present invention has the following beneficial effects:

[0041] 1. Use the management system terminal to create patient files and enter all relevant patient information into the large-capacity storage inside the mobile management device. Medical staff can quickly learn about the patient's condition information, personal information, permission usage, and other permission information directly through the handheld mobile terminal and the mobile management device that scans the patient during daily rounds or observation of the patient's condition. This greatly improves the efficiency of medical staff.

[0042] 2. In terms of physical health status, various health monitoring functions are realized by collecting and analyzing various physiological data of users. Its real-time monitoring function can monitor the patient's physical health more timely and detect the patient's physical accidents or abnormal physiological health data in time.

[0043] 3. In terms of drug management, it can alleviate the management difficulties caused by a large number of patients who need to take daily medications, can provide more convenient supervision on patients' medication, reduce the number of staff in hospital pharmacies, and alleviate personnel allocation problems.

[0044] 4. Use the recording system and audio-visual comparison and analysis module to process audio-visual information, providing medical staff with the opportunity to monitor and intervene in patients' abnormal behaviors in real time, which can prevent potential safety risks to mental health patients themselves and their surroundings to a great extent.

[0045] 5. By utilizing the three-way interconnected permission control mechanism of mobile management devices, management system terminals and scene interaction systems, the control of patient behavior is achieved to a great extent, and the control effect is achieved with fewer management personnel in personnel scheduling.

[0046] 6. Mobile management equipment can not only complete the above functions, but also maintain the autonomy and sense of freedom of patients as much as possible while maintaining effective monitoring of patients, facilitating their recovery and social integration, and reducing resistance. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a flowchart of the management of each ID's permissions by the permission management system;

[0048] Figure 2 A flowchart for confirming the authority of mobile management devices in order to identify the device when it is connected to the Internet;

[0049] Figure 3 A flowchart for confirming the permissions of mobile management devices when the device is not connected to the Internet;

[0050] Figure 4 Flowchart of the patient diet management approach. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0052] The object of the present invention is to provide an intelligent mental health management system, including a mobile management device, a management system terminal and a scene interaction system.

[0053] The mobile management device in this system is a smart wearable device dedicated to patients. In some embodiments, the smart wearable device dedicated to patients includes a smart watch, a smart bracelet, or clothing equipped with a smart device. In a preferred embodiment, the smart wearable device dedicated to patients is a patient smart watch with a buckle. The patient smart watch is easier to wear and operate. At the same time, the buckle on the strap is designed to be difficult to take off or unlock by itself, which can effectively prevent the patient from taking it off by himself to ensure the effectiveness of the mobile management device when it plays a monitoring role. This design can achieve monitoring and protection of mental health patients. At the same time, the patient smart watch can maintain the patient's autonomy and sense of freedom as much as possible while maintaining effective monitoring of the patient. This balance is very important for the patient's rehabilitation and social integration.

[0054] The management system terminal in this system is used for centralized management of patient information and control response of medical facilities. The management system terminal includes many modules such as operable server terminals, network equipment, storage equipment and data security equipment in terms of hardware. It receives real-time or time-period statistical information of patients transmitted by mobile management equipment through wireless network, records, integrates, analyzes and responds to the information of many patients, and can control mobile management equipment at the same time, so as to maintain intelligent mental health management of all patients.

[0055] The scene interaction system includes various electrical equipment in the building and the handheld mobile terminals of the staff. The electrical equipment in the building is also equipped with identification devices. All kinds of identification devices are connected to the management system terminal through the network. The identification devices can identify the device information of each mobile management device, so that patients can interact with the scene intelligently through the mobile management device. Specifically, the scene interaction system uses the short-range wireless connection provided by the near-field communication technology to achieve two-way interactive communication between the mobile management device and the identification device; at the same time, medical staff can also identify the mobile management device through the handheld mobile terminal, and directly view the patient's symptom information and other personal information from the handheld mobile terminal.

[0056] The mobile management device includes internal flash memory, large-capacity storage, physical health detection system, recording system, positioning system, intelligent analysis and processing unit, medicine management system, diet management system, and authority management system.

[0057] The flash memory inside the mobile management device is used to store the operating system, pre-installed system programs, user data, and other files necessary for the system. The flash memory has the characteristics of low power consumption, fast access, and high stability. The flash memory is the storage medium inside the mobile management device. The mobile management device uses the flash memory to store the operating system, pre-installed applications, user data, and other files necessary for the system. At the same time, the flash memory inside the mobile management device works with the RAM (random access memory) to provide the internal processor of the mobile management device with the ability to temporarily store and access data, thereby improving the device's operating speed and multi-tasking capabilities.

[0058] The large-capacity memory is a storage medium inside the mobile management device. The large-capacity memory stores a remote transmission information library and a personal information library.

[0059] The remote transmission information library includes a physical health detection information library, a drug library, an abnormal audio and video library, and a diet library; the physical health detection information library stores symptom expression information and physiological sign information of mental health patients; the drug library and the diet library store the patients' medication information and diet information respectively.

[0060] The personal information database includes patient information, personal information, family information, and permission information. By establishing a personal information database for each patient, various information about the patient can be integrated and managed, so that medical staff can have a more comprehensive understanding of the patient's medical history, current situation, and needs, thereby providing more personalized and accurate medical care. At the same time, the personal information database inside the mobile management device enables medical staff to quickly connect to the management system terminal via wired or wireless means, and quickly access the patient's history record and treatment plan, avoiding repeated information collection, saving time and resources, and thus improving medical work efficiency.

[0061] The physical health detection system operates based on built-in sensors and algorithms. Sensors include optical heart rate monitors, accelerometers, gyroscopes, etc., which collect and analyze the user's physiological data to achieve various health monitoring functions. And evaluate the patient's physiological sign level through indicators such as heart rate variability.

[0062] The recording system works with the high-quality microphone on the mobile management device to capture the surrounding sounds. The high-quality microphone works with the internal sound processing unit of the mobile management device to convert the captured sounds into digital signals and perform necessary signal enhancement, noise suppression and audio encoding to ensure the clarity and quality of the recording.

[0063] The positioning system includes a built-in GPS receiver in the mobile management device, which can receive positioning system satellite signals. Through the positioning system, the precise location coordinates of the device itself can be identified by the terminal to ensure the user's accurate location. The real-time location of the device can be monitored by the terminal to avoid the wearer from getting lost.

[0064] The intelligent analysis and processing unit includes a position comparison analysis module and an audio-visual comparison analysis module.

[0065] The location comparison and analysis module is based on the positioning system and geographic fence technology to implement an alarm when the mobile management device is about to leave the designated area. Specifically, the built-in GPS module of the mobile management device can obtain the device's own geographic location coordinates in real time. The mobile management device transmits the acquired geographic location coordinates to the management system terminal. The management system terminal sets an electronic fence (geo-fence or virtual fence) for a specific area on the map in advance to define the area where activities are allowed. The management system terminal continuously receives the real-time location of the device and compares it with the set electronic fence. When the GPS location of the target device is close to the set electronic fence boundary or crosses the fence boundary, the management system terminal will send an alarm message to the mobile management device, and the mobile management device will trigger the alarm mechanism to remind the wearer. At the same time, the management system terminal reports the alarm information to the administrator.

[0066] The audio-visual comparison and analysis module is based on the recording system and cooperates with the deep learning technology of the management system terminal to analyze and identify the recording content within a time period. Specifically: the audio-visual comparison and analysis module uses the recording system to record the surrounding environment in real time, and transmits the audio files within the set time period to the management system terminal wirelessly.

[0067] The audio-visual comparison and analysis module includes an audio-visual analysis system and a language extraction and analysis system.

[0068] The audio-visual analysis system includes a data preprocessing unit, and the data preprocessing is performed at the management system terminal. The processing method is a short-time processing method commonly used in the prior art, which is Fourier transform or Mel frequency cepstrum coefficient; specifically: the management system terminal converts the audio signal into a spectrogram or extracts a feature vector by short-time Fourier transform (STFT) or Mel frequency cepstrum coefficient (MFCC). That is, the audio signal in the time domain is converted into a representation method in the frequency domain or feature domain, and finally the conversion result is assigned to the deep learning model for processing. After the audio data is converted into a spectrogram or feature vector, the convolutional neural network (CNN) inside the management system terminal extracts features and classifies them. At the same time, an annotated audio data set is prepared during the training and optimization process to ensure that each audio sample has a correct category label, such as coughing, talking, sneezing, glass breaking, etc. The deep learning model is trained using the prepared data set. During the training process, the model parameters are gradually adjusted through an optimization algorithm (such as stochastic gradient descent) so that the model can accurately distinguish different categories of sounds. The analysis obtains audio-visual analysis result labels, such as "talking", "door opening", "knocking", "glass breaking" or "whistle", etc. The management system terminal assigns the audio-visual analysis result labels to the corresponding audio segments. The final result is fragmented audio with corresponding audio-visual type labels, which is transmitted to the management system terminal for dangerous information identification.

[0069] The labels of audio-visual analysis results are divided into voice labels, ordinary labels and danger labels. Sounds such as impact, knocking, and shattering, which may be dangerous, are identified as danger labels. When the audio data is identified as a danger label by the management system terminal, the management system terminal early warning mechanism is immediately triggered, and the danger warning is notified on the management system terminal through sound, light or other prompts, and the user's personal information, medical information, and GPS location are attached to inform medical staff to deal with it in time.

[0070] Ordinary tags such as water flow sound, whistle sound, door opening sound and other common and non-hazardous audio data tags are deleted in time after being identified by the system to save internal storage space of the system.

[0071] The audio-visual label is a label of the human "speaking sound" type.

[0072] The language extraction and analysis system is based on the label of the "speaking voice" type obtained by the analysis results of the audio-visual analysis system. At the same time, the language extraction and analysis system also includes a speech recognition engine and a sensitive word library inside the management system terminal.

[0073] The management system terminal sends the fragmented audio with a label similar to "speaking voice" to the speech recognition engine, which can efficiently extract text information from the audio. Specifically, the speech recognition engine uses the Google Cloud Speech-to-Text or Microsoft Azure Speech Service speech recognition model based on deep learning, which is currently widely used in the market, and can efficiently extract text information from the audio.

[0074] The audio-visual comparison and analysis module is used to assist medical staff in controlling the behavior of mental health patients. In general, the recording unit on the mobile management device is used to capture the voice of the mental patient and the sound of the surrounding environment to analyze the patient's situation and behavior in real time.

[0075] Through deep learning technology, the system can automatically identify dangerous behaviors that patients may exhibit, such as talking to themselves, dangerous objects, language of self-harm or aggressive behavior, through the sensitive vocabulary and text information recognized by the speech recognition engine, thereby providing medical staff with real-time monitoring and intervention opportunities to prevent potential safety risks.

[0076] The authority management system is based on the inductive card chip inside the mobile management device. Each mobile management device has a unique device ID code. When the mobile management device is put into use, the administrator will grant certain permissions to the mobile management device through the management system terminal. Patients can view the current permission information through the mobile management device and use the equipment, equipment, areas or diet items within their own authority.

[0077] See attached Figure 1 -Attached Figure 3 , the rights management system includes a rights management method, comprising the following steps:

[0078] S1.1 Initialize the authority management system, and the display device displays the authority list. The display device displays the authority list on the authority management page. The authority list includes all mobile management device IDs, ID creation information, and ID authority information related to the management system terminal. The ID authority information includes authorized items and unauthorized items. Authorized items include access control systems, personal cabinets, and public area usage rights within the active area. Unauthorized items include access control systems for areas that are not authorized to enter. The administrator can view and change the authority of a specified user in the authority list through the authority management page, or transmit the authority information to the personal information library of the mobile management device through near-field communication technology.

[0079] S1.2 Initialize the mobile management device, and the mobile management device connects and interacts with the authority management system through wired or wireless means. When the mobile management device is initialized, it compares its own authority with the authority list of the management system terminal and updates its own authority information.

[0080] S1.3 The scene interaction system identifies the unique ID of the mobile management device and responds according to the permission information of the device. Specifically, the scene interaction system identifies the ID data of the mobile management device through near field communication technology, reads or queries the personal permissions of the user, and grants or prohibits permissions according to the permissions.

[0081] In addition, based on the danger information identification program and the danger labels and danger-sensitive words obtained by the audio-visual comparison analysis module, the authority management system will automatically change the patient's authority, such as access to public places, the right to use special items, etc., to prevent patients in dangerous conditions from harming others.

[0082] Example 1

[0083] In the usage scenario of this embodiment, mental health patients are given access to the area where they can move, dining rights at all food and beverage windows, access to personal medicine boxes, and other rights that can be coordinated through the scene interaction system. The patient wears a mobile management device and swipes the mobile management device at the authorized access control point, brings the mobile management device close to the identification device of the scene interaction system, and the identification device identifies the ID of the mobile management device, queries the rights, and performs corresponding actions.

[0084] Specifically, the process of confirming the authority of the identification device to the mobile management device when connected to the Internet is as follows:

[0085] S3.1 Initialize the authority management system, the authority management system enters the networking state, and updates the authority list; each identification device has a unique device code, which corresponds to the authorized item of the corresponding authorized ID in the authority list.

[0086] S3.2 After the identification device is turned on, it is initialized, and the authority management system is connected to the identification devices at each point;

[0087] S3.3 The identification device identifies the ID of the mobile management device through near field communication;

[0088] S3.4 The identification device sends the identification ID to the rights management system;

[0089] S3.5 The rights management system compares the ID with the rights information in the rights list;

[0090] S3.51 If the permissions are consistent, the permission management system sends a permission consistency instruction to the identification device;

[0091] S3.52 If the permissions are inconsistent, the permission management system sends a permission inconsistency instruction to the identification device;

[0092] S6.1 The identification device sends instructions to the execution device.

[0093] Through the above method, when the patient swipes the access control authority within the movable area, picks up meals at the meal pick-up window by himself when dining, and picks up medicines through the personal medicine pick-up window, the mobile management device is used to approach the identification device. The identification device identifies the ID of the mobile management device through near-field communication technology and verifies the authority. In the above embodiments, the identification device has the authority, obtains the permission instruction sent by the authority management system, controls the corresponding gates, window prompts and other execution devices to respond, thereby completing the behavior control for mental health patients.

[0094] Example 2

[0095] In the usage scenario of this embodiment, the access rights to the room of mental health patients are disabled, the dining rights at the food window for spicy and irritating foods are disabled, the access rights to open the medicine box for others are disabled, and other rights that can be coordinated through the scene interaction system are disabled. The patient wears a mobile management device and swipes the mobile management device at the authorized access control point, brings the mobile management device close to the identification device of the scene interaction system, and the identification device identifies the ID of the mobile management device, and queries the ID according to the authorized list established inside the identification device and performs corresponding actions.

[0096] Specifically, the process of the identification device confirming the authority of the mobile management device according to the authorized list is as follows:

[0097] S4.1 Initialize the authority management system, the authority management system enters the networking state, and updates the authority list;

[0098] S4.2 The authority management system is connected to each identification device, and the ID information corresponding to the authority of the current identification device in the authority list is sent to the identification device to establish the authority list of the current device;

[0099] S4.3 The identification device identifies the ID of the mobile management device through near field communication;

[0100] S4.4 The identification device compares the ID with the ID information in the authorized list;

[0101] S4.41 If the permissions are consistent, the identification device sends a permission consistency instruction to the execution device;

[0102] S4.42 If the permissions are inconsistent, the identification device sends an inconsistent permissions instruction to the execution device.

[0103] According to the above preset conditions and methods, when the patient swipes the door access permission of the room, swipes the card at the spicy food pick-up window when dining, and picks up medicine at other people's medicine pick-up window, the mobile management device is used to approach the identification device. The identification device identifies the ID of the mobile management device through near-field communication technology, and checks the authority according to the authorized list. In the above embodiments, if the authority is not granted, the identification device sends an authority inconsistency instruction to the execution device, controls the corresponding gate, window prompts and other execution devices to prompt that they are not authorized to use, thereby completing the behavior control for mental health patients.

[0104] The dietary management system controls the wearer's daily diet based on the remote transmission information library. The manager can edit personal dietary permission information through the management system terminal, and can remotely send the corresponding dietary information to the remote transmission information library of each ID. The dietary information includes recommended recipe information and taboo dietary information. The recommended recipe information includes the recommended dietary recipes set by the system or the manager for the corresponding ID through the management system terminal. Within the specified time before the meal, the mobile management device will give the wearer dining reminders through voice broadcast or text display. On the other hand, the dietary management system controls the wearer's taboo diet by cooperating with the scene interaction system and the authority management system.

[0105] See attached Figure 4 The dietary management system includes a patient dietary management method, which is based on the identification device of the self-service meal pick-up window. When the patient picks up the meal by himself, the staff of the corresponding meal pick-up window scans the corresponding mobile management device through the catering identification device, and identifies the patient's authority information through near-field communication technology to check whether it meets the current meal usage standards. Each catering identification device corresponding to the meal pick-up window has a unique identification code, which is recorded in the authority list and corresponds to the ID of the authorized mobile management device. Specifically, the dietary management system includes the patient dietary management method, which includes the following steps:

[0106] S5.1 Initialize the catering identification device, which obtains the authorization information of all IDs by connecting to the management system terminal;

[0107] S5.2 The catering identification device obtains the ID information of the mobile management device through near field communication technology;

[0108] S5.3 The catering identification device compares the ID with the authorization information of all IDs;

[0109] S5.31 If the authorization information of all IDs includes this ID, the catering identification device will deduct the assets under the device ID, the staff will order meals according to the authorized prompts, and the patients can pick up meals according to the authorized prompts;

[0110] S5.32 If this ID is not included in the authorization information of all IDs, the catering identification device will not deduct the assets under the device ID, and the staff will remind the patient that he cannot pick up the meal based on the unauthorized reminder.

[0111] Through the above methods, the dining behavior of mental health patients can be controlled.

[0112] The drug management system is based on the remote transmission information library to remind the wearer of daily medication on time. The manager sends the corresponding medication information to the remote transmission information library of each ID remotely through the management system terminal. The drug management system uses the medication rules in the medication information to remind the wearer on time through voice broadcast or text display. Specifically, the mobile management device is connected to the management system terminal wirelessly, and medical staff can change the medication information corresponding to each ID through the management system terminal, so as to realize the convenient and rapid update of medication information in the drug management system.

[0113] To sum up, in actual application scenarios, mental health patients wear watch-shaped mobile management devices in their daily lives in treatment institutions or rehabilitation institutions, and managers can accurately monitor and control the physical health status and behavior of all patients through the management system terminal.

[0114] Of course, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, technicians familiar with the field may make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims attached to the present invention.

Claims

1. A mental health intelligent management system, characterized in that: It includes a mobile management device, a management system terminal and a scene interaction system; the mobile management device uses a smart wearable device, and the mobile management device and the management system terminal can perform near field communication; The mobile management device includes a flash memory, a large-capacity memory, a physical health detection system, a recording system, a positioning system, an intelligent analysis and processing unit, a medicine management system, a diet management system, and a rights management system; The scene interaction system includes electrical equipment in a building and a handheld mobile terminal. The electrical equipment is equipped with an identification device. The identification device and the handheld mobile terminal are connected to a management system terminal via a network.

2. The intelligent mental health management system according to claim 1, characterized in that: The physical health detection system includes internal sensors, including an optical heart rate monitor, an accelerometer and a gyroscope; the recording system includes a high-quality microphone on the mobile management device; and the positioning system includes a built-in GPS receiver in the mobile management device.

3. The intelligent mental health management system according to claim 1, characterized in that: The intelligent analysis and processing unit includes a location comparison and analysis module; the location comparison and analysis module is based on a positioning system and geographic fence technology to implement an alarm when the mobile management device is about to leave a designated area.

4. The intelligent mental health management system according to claim 1, characterized in that: The intelligent analysis and processing unit includes an audio-visual comparison and analysis module; the audio-visual comparison and analysis module is based on the recording system and cooperates with the deep learning technology of the management system terminal to analyze and identify the recording content within a time period.

5. The intelligent mental health management system according to claim 4, characterized in that: The audio-visual comparison and analysis module records the surrounding environment in real time through a recording system, and transmits the audio files within a set time period to the management system terminal by wireless means; The audio-visual comparison and analysis module includes an audio-visual analysis system and a language extraction and analysis system; the audio-visual analysis system includes a data preprocessing unit; the data preprocessing unit converts the data into a spectrum or extracts a feature vector by means of short-time Fourier transform or Mel-frequency cepstrum coefficients, and then the convolutional neural network inside the management system terminal extracts features and performs classification analysis to obtain audio-visual analysis result labels, and stores the results in a storage device inside the management system terminal; The language extraction and analysis system includes a speech recognition engine and a sensitive word library; fragmented audio with a label similar to "speaking sound" is sent to the speech recognition engine to extract text information; and the sensitive word library and the text information recognized by the speech recognition engine are automatically identified through deep learning technology to identify dangerous behaviors that patients may exhibit.

6. The intelligent mental health management system according to claim 1, characterized in that: The authority management system includes a unique ID code inside each mobile management device, and the management system terminal grants the mobile management device authority to use the equipment, area or food items within its own authority range.

7. The intelligent mental health management system according to claim 6, characterized in that: The management method comprises the following steps: S1.1 Initialize the authority management system, and the display device displays the authority list; S1.2 Initialize the mobile management device, and the mobile management device connects and interacts with the rights management system via wired or wireless means; S1.3 The scene interaction system identifies the unique ID of the mobile management device and takes corresponding actions based on the permission information of the device.

8. The intelligent mental health management method according to claim 7, characterized in that: The process of confirming the authority of the identification device to the mobile management device includes the following steps: S3.1 Initialize the authority management system, the authority management system enters the networking state, and updates the authority list; each identification device has a unique device code, which corresponds to the authorized item of the corresponding authorized ID in the authority list; S3.2 The identification device is initialized after being turned on, and the authority management system is connected to the identification devices at each point; S3.3 The identification device identifies the ID of the mobile management device through near field communication; S3.4 The identification device sends the identification ID to the rights management system; S3.5 The rights management system compares the ID with the rights information in the rights list; S3.51 If the permissions are consistent, the permission management system sends a permission consistency instruction to the identification device; S3.52 If the permissions are inconsistent, the permission management system sends a permission inconsistency instruction to the identification device; S6.1 The identification device sends instructions to the execution device.

9. The intelligent mental health management method according to claim 7, characterized in that: The process of confirming the authority of the mobile management device by the identification device according to the authority list includes the following steps: S4.1 Initialize the authority management system, the authority management system enters the networking state, and updates the authority list; S4.2 The authority management system is connected to each identification device, and the ID information of the current identification device in the authority list that meets the authority is sent to the identification device to establish the authority list of the current device; S4.3 The identification device identifies the ID of the mobile management device through near field communication; S4.4 The identification device compares the ID with the ID information in the authorized list; S4.41 If the permissions are consistent, the identification device sends a permission consistency instruction to the execution device; S4.42 If the permissions are inconsistent, the identification device sends an inconsistent permissions instruction to the execution device.

10. The intelligent mental health management method according to claim 6, characterized in that: The dietary management system includes a patient dietary management method including the following steps: S5.1 Initialize the catering identification device, which obtains the authorization information of all IDs by connecting to the management system terminal; S5.2 The catering identification device obtains the ID information of the mobile management device through near field communication technology; S5.3 The catering identification device compares the ID with the authorization information of all IDs; S5.31 If the authorization information of all IDs includes this ID, the catering identification device will deduct the assets under the device ID; S5.32 If this ID is not included in the authorization information of all IDs, the catering identification device will not deduct the assets under the device ID.

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