Hospital hospital guide system

Abstract

The invention provides a hospital guide system, the system comprises a mobile application, a positioning unit and a server, after the system obtains the symptom description information of a user through the mobile application, the server determines the symptom type of the user according to the symptom description information, provides a registration suggestion based on the symptom type, and sends the registration suggestion to the user after the user carries out online registration. When a user arrives at a hospital, the real-time position of the user can be positioned through a positioning unit, a server generates a moving path based on the real-time position of the user and online registration information, and a mobile application instructs the user to quickly arrive at a target consulting room based on the moving path. Therefore, the user can arrive at the target consulting room by himself / herself without knowing the position of the hospital consulting room and inquiring the condition of the hospital personnel, the doctor-seeing experience of the user is improved, and the human input of the hospital on the hospital guide personnel can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of navigation systems, and in particular to a hospital diagnosis and guidance system. Background Art

[0002] With the development of society and the improvement of living standards, people's demand for medical and health care is also increasing. Outpatient medical services are the window for medical institutions to provide services to the outside world. However, since most patients lack relevant medical knowledge, it is difficult for them to determine in time which department they should register for further diagnosis after symptoms appear. In order to meet the patients' medical needs and improve the efficiency of medical treatment, the current common practice of hospitals and other medical institutions is to set up a guidance desk, where guidance nurses provide guidance and consultation services to patients, and often need to guide patients to different clinics for treatment. The limited investment of guidance personnel in hospitals does not match the growing demand for guidance, and the guidance efficiency is difficult to further improve, which also reduces the patient's medical experience. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a hospital guidance system, which can enable users to register online and instruct users to quickly reach the target clinic through portable mobile devices, thereby improving the user's medical experience.

[0004] In order to achieve the above-mentioned object of the invention, the present invention provides a hospital diagnosis guidance system, the system comprising:

[0005] A mobile application for obtaining symptom description information of the user, making an online appointment, and providing the user with instructions for a moving path within the hospital, wherein the moving path is the optimal path from the user's real-time location within the hospital to the target clinic, and the mobile application runs on a mobile terminal;

[0006] A positioning unit is used to locate the real-time position of the user in the hospital, obtain real-time positioning data, and send the real-time positioning data to the server;

[0007] The server is used to analyze the user's symptom type based on the symptom description information uploaded by the mobile application, feedback the symptom type and registration suggestions to the mobile application, obtain the online registration information uploaded by the mobile application, generate a movement path based on the user's real-time positioning data and online registration information, and send the movement path to the mobile application.

[0008] Furthermore, the mobile application includes:

[0009] Login module, used for users to log in and log out of accounts;

[0010] The symptom analysis front-end module is used to obtain the symptom description information input by the user, send the symptom description information to the server, obtain the symptom type fed back by the server, and display the symptom type to the user;

[0011] The online registration module is used to determine whether the user is sure of the symptom type output by the system. If so, the user's symptom type is obtained, and a registration department is recommended for the user based on the symptom type. The user can also select a registration clinic for online registration.

[0012] A moving path display module, used to receive the moving path sent by the server and display the moving path to the user, wherein the moving path at least includes the user's current real-time location and the moving path to the target clinic;

[0013] The moving mode prompting module is used to prompt the user of the moving direction in at least one of text, graphics, and voice based on the moving path sent by the server.

[0014] Furthermore, the positioning unit includes:

[0015] The first positioning module is used to interact with the mobile terminal through multiple wireless communication sites set up at different locations in the hospital, obtain the interaction signal strength and user identification information between each wireless communication site and the mobile terminal, and send the interaction signal strength, site identification information, and user identification information as coarse positioning data to the server;

[0016] The second positioning module is used to call the monitoring equipment set up in different locations in the hospital according to the server instructions, collect image data containing faces and scenes through the monitoring equipment, and send the image data as detailed positioning data to the server.

[0017] Furthermore, the server includes:

[0018] User data management module, used to store and manage user basic information, medical data, registration data, and symptom data;

[0019] The symptom analysis backend module is used to obtain the symptom description information uploaded by the mobile application, input the user's symptom description information and historical symptom data into the symptom analysis model for processing, obtain the symptom type, and send the symptom type to the mobile application;

[0020] User positioning module, used to locate the user's real-time position based on coarse positioning data and fine positioning data;

[0021] The path generation module is used to determine the target clinic based on the user's online registration information, generate a moving path based on the user's real-time location and the target clinic's location, and send the moving path to the mobile application.

[0022] Furthermore, the user positioning module is specifically used to perform the following operations:

[0023] S101, obtaining the coarse positioning data uploaded by the positioning unit, calculating the distance between each wireless communication site and the mobile terminal based on the site identification information and the interactive signal strength, and determining the coarse positioning position of the user based on the distance between each communication site and the mobile terminal and the user identification information;

[0024] S102, searching for a monitoring device near the rough positioning position of the user, taking it as a target monitoring device, sending an instruction to call the target monitoring device to the second positioning module, and obtaining fine positioning data uploaded by the positioning unit;

[0025] S103, searching for a pre-stored face image of a corresponding user in a database based on the user identification information in the coarse positioning data, analyzing the user's location based on the pre-stored face image and the image data in the fine positioning data, and using the user's location as the fine positioning location;

[0026] S104: Determine the real-time location of the user according to the detailed positioning location.

[0027] Furthermore, the path generation module is specifically used to perform the following operations:

[0028] S201, obtaining the user's real-time location and user identification information through a user positioning module, querying the user's online registration record according to the user identification information, determining the target clinic according to the user's online registration record, and further determining the location of the target clinic;

[0029] S202. Analyze the optimal moving path according to the user's real-time location and the target clinic location, determine the key points on the optimal moving path, and generate corresponding prompt information for each key point. The prompt information is used to instruct the user's movement method at the corresponding key point in at least one form of text, graphics, and voice.

[0030] Furthermore, the path generation module is further configured to perform the following operations after initially generating the optimal moving path:

[0031] S301, acquiring monitoring images collected by monitoring equipment located around the optimal moving path;

[0032] S302, identifying the acquired surveillance image content to obtain congestion event information, wherein the congestion time information includes location, event type, and event level;

[0033] S303, calculating the average moving speed of the user according to the change of the real-time position of the user;

[0034] S304, inputting the congestion time information into the congestion analysis model for processing to obtain the estimated event elimination time;

[0035] S305, judging whether the congestion event will affect the user according to the location of the congestion event, the estimated elimination time of the event, the real-time location of the user and the average moving speed of the user, and if the congestion event will affect the user, further calculating the delay duration caused by the congestion event to the user, judging whether the delay duration is greater than a preset duration threshold, and if so, proceeding to the next step;

[0036] S306: exclude the location of the congestion event from the optimal moving path, and re-plan the optimal moving path.

[0037] Furthermore, the path generation module is specifically used to perform the following operations:

[0038] S401, searching for detailed description information of corresponding locations pre-stored in a database based on key locations in the optimal moving path;

[0039] S402, adding the detailed description information found in the previous step to the prompt content corresponding to the key location in the prompt information;

[0040] S403, periodically obtain monitoring images of each location through monitoring equipment, identify the monitoring image content, and determine whether the monitoring image content matches the detailed description information of the corresponding location. If not, update the detailed description information of the corresponding location according to the monitoring image content recognition result.

[0041] Furthermore, the user positioning module is also used to determine whether the user's real-time position deviates from the moving path. If deviated, a prompt signal is sent to the mobile application. The mobile application is also used to prompt the user to adjust the moving direction to return to the moving path in at least one of text, graphics, voice, and vibration when receiving the prompt signal.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The present invention provides a hospital medical guidance system. After obtaining the user's symptom description information through a mobile application, the server determines the user's symptom type based on the symptom description information and provides registration suggestions based on the symptom type. After the user makes an online registration, when the user arrives at the hospital, the user's real-time location can be located through a positioning unit. The server generates a moving path based on the user's real-time location and the online registration information. The mobile application instructs the user to quickly reach the target clinic based on the moving path, so that the user can reach the target clinic by himself without having to understand the location of the hospital clinic or ask hospital staff, thereby improving the user's medical experience and reducing the hospital's manpower investment in guides. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 It is a schematic diagram of the overall structure of a hospital diagnosis and guidance system provided by an embodiment of the present invention.

[0046] Figure 2 It is a schematic diagram of a user position positioning process provided by an embodiment of the present invention.

[0047] Figure 3 It is a schematic diagram of a prompt information generation process provided by an embodiment of the present invention.

[0048] Figure 4 It is a schematic diagram of the congestion event analysis process provided by an embodiment of the present invention.

[0049] Figure 5 It is a schematic diagram of the prompt information optimization process provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0051] Reference Figure 1 This embodiment provides a hospital guidance system, the system comprising:

[0052] The mobile application is used to obtain the user's symptom description information, make an online appointment, and provide the user with instructions for the movement path in the hospital, where the movement path is the optimal path from the user's real-time location in the hospital to the target clinic. The mobile application runs on a mobile terminal. Exemplarily, the mobile terminal can be a smart phone used by the patient, or a wearable device such as a smart watch, smart bracelet, smart glasses, etc.

[0053] The positioning unit is used to locate the real-time position of the user in the hospital, obtain real-time positioning data, and send the real-time positioning data to the server.

[0054] The server is used to analyze the user's symptom type based on the symptom description information uploaded by the mobile application, feedback the symptom type and registration suggestions to the mobile application, obtain the online registration information uploaded by the mobile application, generate a movement path based on the user's real-time positioning data and online registration information, and send the movement path to the mobile application.

[0055] In the system provided in this embodiment, when a user has discomfort symptoms, he can first input symptom description information through the mobile application at home. The server analyzes the user's symptom type according to the symptom description information uploaded by the mobile application, and synchronously generates corresponding registration suggestions, and feeds back to the mobile application. The registration suggestion is used to characterize the department that the user is recommended to register. The mobile application shows the symptom type and registration suggestion analyzed by the server to the user, and the user can register online through the mobile application according to the registration suggestion. When the user arrives at the hospital according to the time of the online registration appointment, the positioning unit will locate the user's real-time position in the hospital and send the user's real-time positioning data to the server. The server generates a moving path based on the user's real-time positioning data and online registration information. The mobile application instructs the user to go to the corresponding clinic for medical treatment according to the moving path, so that even if the user goes to the hospital for the first time, he can quickly find the target clinic without asking the guide for help. It can effectively divert the people queuing for hospital registration and reduce the workload of the guide, thereby helping the hospital reduce the corresponding manpower investment, and also improve the patient's medical experience.

[0056] As an optional implementation, the mobile application specifically includes a login module, a symptom front-end analysis module, an online registration module, a moving path display module and a moving mode prompt module.

[0057] Among them, the login module is used for user login and account deregistration. Before using the mobile application, the user needs to log in with a pre-registered account or a third-party account so that the system can identify the user and store the user's account-related data.

[0058] The symptom analysis front-end module is used to obtain the symptom description information input by the user, send the symptom description information to the server, obtain the symptom type fed back by the server, and display the symptom type to the user. Exemplarily, the symptom analysis front-end module can obtain the user's symptom description information in the form of questions and answers, for example, asking the user "where do you feel uncomfortable", and providing multiple optional options, such as "chest", "head", "abdomen", etc., and further asking questions and answers based on the options selected by the user to determine the user's specific discomfort symptoms until the information obtained can effectively determine the user's symptom type.

[0059] In addition, when viewing the symptom types displayed by the mobile application, if the user feels that the symptom type analyzed by the system is inaccurate, he can provide feedback and request to be transferred to the manual online guidance service. The symptom analysis front-end module can also be used to communicate online with hospital guidance personnel to help users determine the symptom type and recommend the department to visit.

[0060] The online registration module is used to determine whether the user is sure of the symptom type output by the system. If so, the user's symptom type is obtained, and a registration department is recommended to the user based on the symptom type. It is also used for the user to select a registration clinic for online registration. If the user is sure of the symptom type output by the system, it indicates that the user recognizes that the symptom type given by the system matches his or her own discomfort symptoms. The recommendation of a registration department to the user based on the symptom type may be to highlight the recommended registration department option on the department selection page, or to display the registration department selection suggestion in the form of a scrolling text box on the department selection page, or to output the registration department suggestion to the user in other ways, which is not specifically limited in this embodiment.

[0061] The moving path display module is used to receive the moving path sent by the server and display the moving path to the user. The moving path at least includes the user's current real-time location and the moving path to the target clinic.

[0062] The moving mode prompting module is used to prompt the user of the moving direction in at least one of text, graphics, and voice based on the moving path sent by the server.

[0063] In this optional implementation, the user can make an online registration through the mobile application at home. After arriving at the hospital, he can view the movement path through the mobile application and go to the target clinic according to the movement prompts. The mobile application can prompt the user to move to the target clinic in a variety of forms. It is suitable for patients of different age groups, different cultural levels, and different physical conditions, and can enhance the patient's medical experience.

[0064] As another optional implementation, the positioning unit includes a first positioning module and a second positioning module.

[0065] Among them, the first positioning module is used to interact with the mobile terminal through multiple wireless communication sites set up at different locations in the hospital, obtain the interaction signal strength and user identification information between each wireless communication site and the mobile terminal, and send the interaction signal strength, site identification information, and user identification information as coarse positioning data to the server.

[0066] In this optional implementation, the wireless communication site in the hospital area will periodically send communication requests to the surrounding mobile terminals. When the user enters the signal coverage of the wireless communication site, the mobile terminal carried by the user will receive the communication request sent by the wireless communication site. After the mobile application recognizes the communication request sent by the wireless communication site, it sends user identification information to the wireless communication site. The site identification information is used to identify different wireless communication sites, and the site identification information can be a unique identification number for the wireless communication site; the user identification information is used to identify the user's identity, and the user identification information can be a user account name, which is not specifically limited in this embodiment.

[0067] The second positioning module is used to call monitoring devices set up at different locations in the hospital according to server instructions, collect image data containing faces and scenes through the monitoring devices, and send the image data as detailed positioning data to the server.

[0068] On the basis of the above-mentioned embodiment, the server specifically includes a user data management module, a symptom analysis back-end module, a user positioning module and a path generation module.

[0069] The user data management module is used to store and manage user basic information, medical treatment data, registration data, and symptom data. The user basic information includes but is not limited to user name, age, gender, ID number, job, etc.

[0070] The symptom analysis backend module is used to obtain the symptom description information uploaded by the mobile application, input the user's symptom description information and historical symptom data into the symptom analysis model for processing, obtain the symptom type, and send the symptom type to the mobile application. The symptom analysis model is a deep learning model that is pre-trained with a labeled training set, and the labeled training set includes sample symptom description information and the symptom type annotated thereto.

[0071] The user positioning module is used to locate the user's real-time position based on the coarse positioning data and the fine positioning data.

[0072] The path generation module is used to determine the target clinic based on the user's online registration information, generate a moving path based on the user's real-time location and the target clinic's location, and send the moving path to the mobile application.

[0073] As a further optional embodiment, refer to Figure 2 , the user positioning module is specifically used to perform the following operations:

[0074] S101, obtaining the rough positioning data uploaded by the positioning unit, calculating the distance between each wireless communication site and the mobile terminal based on the site identification information and the interactive signal strength, and determining the rough positioning position of the user based on the distance between each communication site and the mobile terminal and the user identification information. Calculating the position of the terminal based on the interactive signal strength between multiple sites and the terminal is a conventional technical means for those skilled in the art, and its principle will not be described in detail here.

[0075] S102: Search for a monitoring device near the rough positioning position of the user, use it as a target monitoring device, send an instruction to call the target monitoring device to the second positioning module, and obtain the fine positioning data uploaded by the positioning unit.

[0076] S103, searching for a pre-stored face image of a corresponding user in a database based on the user identification information in the coarse positioning data, analyzing the user's location based on the pre-stored face image and the image data in the fine positioning data, and using the user's location as the fine positioning location.

[0077] The analysis of the user's location based on the pre-stored face image and the image data in the detailed positioning data may be to first identify whether there is a face matching the pre-stored face image in all surveillance image frames based on the pre-stored face image, and if there is a matching face in a certain frame, further identify the scene in the frame to analyze the user's location. The search for matching faces can be achieved through face recognition technology, and the recognition of scenes in the frame can be achieved through object detection technology, scene understanding technology, and geographic tagging technology.

[0078] S104: Determine the real-time location of the user according to the detailed positioning location.

[0079] In this optional implementation, the user positioning unit first roughly estimates the user's position in the hospital through the first positioning unit, so that the system can sense the user's arrival when the user just enters the hospital. Then, based on the user identification information, the system finely locates the user's position through the second positioning unit. This step is mainly achieved with the help of face recognition and scene recognition, so that the system can accurately locate the user's position indoors without the user being aware of it, laying the foundation for further providing guidance services.

[0080] As another further optional embodiment, refer to Figure 3 , the path generation module is specifically used to perform the following operations:

[0081] S201. Obtain the user's real-time location and user identification information through the user positioning module, query the user's online registration record according to the user identification information, determine the target clinic according to the user's online registration record, and further determine the location of the target clinic.

[0082] S202. Analyze the optimal moving path according to the user's real-time location and the target clinic location, determine the key points on the optimal moving path, and generate corresponding prompt information for each key point. The prompt information is used to instruct the user's movement method at the corresponding key point in at least one form of text, graphics, and voice.

[0083] Exemplarily, when the current position and the target position are known, the generation of the optimal moving path can be achieved through path planning algorithms such as the A* algorithm (A-Star Algorithm), depth-first search (DFS), and RRT (Rapidly-exploring Random Trees) algorithm. The specific algorithm to be used can be selected based on the complexity of the hospital's internal environment, computing resource constraints and other conditions, and this embodiment does not make any specific limitations on this.

[0084] In this optional implementation, the key point is a change in the movement mode in the movement path, such as changing from walking on the same floor to going up / down stairs or taking an elevator, or changing from going straight to turning and then moving forward or turning continuously, etc. When the user moves to a key point on the movement path, the user is reminded to pay attention to the change in the movement path through various forms of indications to prevent the user from missing the key point.

[0085] As yet another further optional embodiment, refer to Figure 4 The path generation module is further configured to perform the following operations after initially generating the optimal moving path:

[0086] S301. Obtain monitoring images collected by monitoring equipment located around the optimal moving path.

[0087] S302: Identify the acquired surveillance image content to obtain congestion event information, where the congestion time information includes location, event type, and event level.

[0088] For example, the content of the acquired surveillance images can be identified by various network models such as convolutional neural networks, recurrent neural networks, spatiotemporal convolution, etc. The event type is used to characterize the classification of congestion events, such as patient transfer, patient queue, venue decoration, etc. The event level is used to characterize the severity of congestion events. The higher the event level, the more serious the congestion.

[0089] S303: Calculate the average moving speed of the user according to the change of the real-time position of the user. According to the change of the real-time position of the user, the distance traveled by the user in a period of time can be analyzed and the average moving speed of the user can be further calculated.

[0090] S304: Input the congestion time information into the congestion analysis model for processing to obtain the estimated event elimination time. The congestion analysis model is a deep learning model pre-trained with a labeled training set, and the labeled training set includes sample location information, sample congestion event type, sample congestion event level and the event elimination time annotated thereto.

[0091] S305. Determine whether the congestion event will have an impact on the user based on the location of the congestion event, the estimated elimination time of the event, the real-time location of the user, and the average moving speed of the user. If the congestion event will have an impact on the user, further calculate the delay duration caused by the congestion event to the user, and determine whether the delay duration is greater than a preset duration threshold. If so, proceed to the next step.

[0092] For example, if the location of the congestion event is on the moving path, and the estimated elimination time of the event is greater than the time required for the user to move from the current real-time location to the congestion time location at the average moving speed, then it is judged that the congestion event will have an impact on the user; otherwise, it is judged that the congestion event will not have an impact on the user. If there is no impact, the process ends.

[0093] In this optional implementation, the preset time threshold can be set according to the user's generally accepted waiting time for congestion and the hospital's acceptable time for site congestion.

[0094] S306: exclude the location of the congestion event from the optimal moving path, and re-plan the optimal moving path.

[0095] In this optional implementation, after the path generation module initially generates the optimal moving path, it will detect congestion events occurring on the optimal moving path in real time, and re-plan the optimal moving path based on the impact that the congestion events may have on the user. On the one hand, it can improve the user's medical experience and prevent the user from being blocked halfway to the target clinic due to various emergencies; on the other hand, it can avoid serious congestion in various places within the hospital, effectively divert the crowd, and eliminate safety hazards.

[0096] As yet another further optional embodiment, refer to Figure 5 The path generation module is further configured to perform the following operations:

[0097] S401 . Searching for detailed description information of corresponding locations pre-stored in a database based on key locations in the optimal moving path.

[0098] In this optional implementation, for different locations in the hospital, corresponding detailed description information is pre-stored in the database. For example, for stairs, there may be detailed description information of "stairs with green steps and wooden handrails".

[0099] S402: Add the detailed description information found in the previous step to the prompt content corresponding to the key location in the prompt information.

[0100] For example, the prompt content in the prompt information may only prompt the user to "turn left and go up the stairs to the second floor". After adding detailed description information, the prompt content can be further refined to "turn left and go up the stairs with green steps and wooden handrails to the second floor", so that the patient can distinguish the direction more accurately.

[0101] S403, periodically obtain monitoring images of each location through monitoring equipment, identify the monitoring image content, and determine whether the monitoring image content matches the detailed description information of the corresponding location. If not, update the detailed description information of the corresponding location according to the monitoring image content recognition result.

[0102] In this optional implementation, on the one hand, the path generation module can optimize the prompt content based on the detailed description information pre-stored in the database, on the premise of determining each location on the optimal moving path, so as to facilitate patients to distinguish directions more accurately; on the other hand, by periodically acquiring monitoring images of different locations, it can analyze whether the actual situation of the location does not match the detailed description information, and update the detailed description information when a mismatch is found, so as to avoid errors in the prompt content that may cause patients to go in the wrong direction, thereby improving the real-time and effectiveness of system information.

[0103] As another optional implementation, the user positioning module is also used to determine whether the user's real-time position deviates from the moving path. If deviated, a prompt signal is sent to the mobile application. The mobile application is also used to prompt the user to adjust the moving direction to return to the moving path in at least one of text, graphics, voice, and vibration when receiving the prompt signal.

[0104] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A hospital guidance system, characterized in that: The system comprises: A mobile application for obtaining symptom description information of the user, making an online appointment, and providing the user with instructions for a moving path within the hospital, wherein the moving path is the optimal path from the user's real-time location within the hospital to the target clinic, and the mobile application runs on a mobile terminal; A positioning unit is used to locate the real-time position of the user in the hospital, obtain real-time positioning data, and send the real-time positioning data to the server; The server is used to analyze the user's symptom type based on the symptom description information uploaded by the mobile application, feedback the symptom type and registration suggestions to the mobile application, obtain the online registration information uploaded by the mobile application, generate a movement path based on the user's real-time positioning data and online registration information, and send the movement path to the mobile application.

2. A hospital guidance system according to claim 1, characterized in that: The mobile application includes: Login module, used for users to log in and log out of accounts; The symptom analysis front-end module is used to obtain the symptom description information input by the user, send the symptom description information to the server, obtain the symptom type fed back by the server, and display the symptom type to the user; The online registration module is used to determine whether the user is sure of the symptom type output by the system. If so, the user's symptom type is obtained, and a registration department is recommended for the user based on the symptom type. The user can also select a registration clinic for online registration. A moving path display module, used to receive the moving path sent by the server and display the moving path to the user, wherein the moving path at least includes the user's current real-time location and the moving path to the target clinic; The moving mode prompting module is used to prompt the user of the moving direction in at least one of text, graphics, and voice based on the moving path sent by the server.

3. A hospital medical guidance system according to claim 1, characterized in that: The positioning unit comprises: The first positioning module is used to interact with the mobile terminal through multiple wireless communication sites set up at different locations in the hospital, obtain the interaction signal strength and user identification information between each wireless communication site and the mobile terminal, and send the interaction signal strength, site identification information, and user identification information as coarse positioning data to the server; The second positioning module is used to call the monitoring equipment set up in different locations in the hospital according to the server instructions, collect image data containing faces and scenes through the monitoring equipment, and send the image data as detailed positioning data to the server.

4. A hospital guidance system according to claim 3, characterized in that: The server comprises: User data management module, used to store and manage user basic information, medical data, registration data, and symptom data; The symptom analysis backend module is used to obtain the symptom description information uploaded by the mobile application, input the user's symptom description information and historical symptom data into the symptom analysis model for processing, obtain the symptom type, and send the symptom type to the mobile application; User positioning module, used to locate the user's real-time position based on coarse positioning data and fine positioning data; The path generation module is used to determine the target clinic based on the user's online registration information, generate a moving path based on the user's real-time location and the target clinic's location, and send the moving path to the mobile application.

5. A hospital medical guidance system according to claim 4, characterized in that: The user positioning module is specifically used to perform the following operations: S101, obtaining the coarse positioning data uploaded by the positioning unit, calculating the distance between each wireless communication site and the mobile terminal based on the site identification information and the interactive signal strength, and determining the coarse positioning position of the user based on the distance between each communication site and the mobile terminal and the user identification information; S102, searching for a monitoring device near the rough positioning position of the user, taking it as a target monitoring device, sending an instruction to call the target monitoring device to the second positioning module, and obtaining fine positioning data uploaded by the positioning unit; S103, searching for a pre-stored face image of a corresponding user in a database based on the user identification information in the coarse positioning data, analyzing the user's location based on the pre-stored face image and the image data in the fine positioning data, and using the user's location as the fine positioning location; S104: Determine the real-time location of the user according to the detailed positioning location.

6. A hospital diagnosis guidance system according to claim 5, characterized in that: The path generation module is specifically used to perform the following operations: S201, obtaining the user's real-time location and user identification information through a user positioning module, querying the user's online registration record according to the user identification information, determining the target clinic according to the user's online registration record, and further determining the location of the target clinic; S202. Analyze the optimal moving path according to the user's real-time location and the target clinic location, determine the key points on the optimal moving path, and generate corresponding prompt information for each key point. The prompt information is used to instruct the user's movement method at the corresponding key point in at least one form of text, graphics, and voice.

7. A hospital diagnosis guidance system according to claim 6, characterized in that: The path generation module is further configured to perform the following operations after initially generating the optimal moving path: S301, acquiring monitoring images collected by monitoring equipment located around the optimal moving path; S302, identifying the acquired surveillance image content to obtain congestion event information, wherein the congestion time information includes location, event type, and event level; S303, calculating the average moving speed of the user according to the change of the real-time position of the user; S304, inputting the congestion time information into the congestion analysis model for processing to obtain the estimated event elimination time; S305, judging whether the congestion event will affect the user according to the location of the congestion event, the estimated elimination time of the event, the real-time location of the user and the average moving speed of the user, and if the congestion event will affect the user, further calculating the delay duration caused by the congestion event to the user, judging whether the delay duration is greater than a preset duration threshold, and if so, proceeding to the next step; S306: exclude the location of the congestion event from the optimal moving path, and re-plan the optimal moving path.

8. A hospital diagnosis guidance system according to claim 6, characterized in that: The path generation module is further configured to perform the following operations: S401, searching for detailed description information of corresponding locations pre-stored in a database based on key locations in the optimal moving path; S402, adding the detailed description information found in the previous step to the prompt content corresponding to the key location in the prompt information; S403, periodically obtain monitoring images of each location through monitoring equipment, identify the monitoring image content, and determine whether the monitoring image content matches the detailed description information of the corresponding location. If not, update the detailed description information of the corresponding location according to the monitoring image content recognition result.

9. A hospital diagnosis guidance system according to claim 4, characterized in that: The user positioning module is also used to determine whether the user's real-time position deviates from the moving path. If deviated, a prompt signal is sent to the mobile application. The mobile application is also used to prompt the user to adjust the moving direction to return to the moving path in at least one of text, graphics, voice, and vibration when receiving the prompt signal.

Images