An emergency medical support think tank platform based on large-scale server clusters

Abstract

The present invention discloses an emergency medical support think tank platform based on a large-scale server cluster, including an emergency medical support think tank data management system and an emergency medical support think tank model and algorithm prototype system; the data management system is used to collect and store emergency medical support data information from different sources to form an emergency medical support database; the emergency medical support think tank model and algorithm prototype system provides a coding-free development environment for non-artificial intelligence professionals based on the emergency medical support database to complete the development, architecture, training and application of the model in one stop, and provides a coding development environment for professionals. The emergency medical support think tank platform provided by the present invention provides a tool set related to the entire process of artificial intelligence algorithm model development, training and application, forms a friendly development environment for the collected emergency medical support data, thereby forming an efficient emergency medical support think tank system to meet the needs of rapid application deployment and development.

Description

Technical Field

[0001] The present invention relates to the field of emergency management technology, and in particular to an emergency medical support think tank platform based on a large-scale server cluster. Background Art

[0002] With the advancement of science and technology, informatization has become increasingly important in all aspects of life. The convenience it brings to humanity has revolutionized our lives. However, informatization not only impacts our lives, but also embodies a growing competition among nations in its advancement. Since the 21st century, informatization has garnered increasing attention from countries around the world. The role of informatization is particularly prominent in information management, offering advantages such as labor savings, ease of operation, ease of learning, rapid implementation, and error avoidance.

[0003] With the continuous expansion and improvement of medical infrastructure nationwide, efficient medical emergency management and its informatization have become issues that require attention. Disaster relief and public health emergency response, in particular, require strengthened informatization support for emergency medicine. As a key force in responding to disasters and public health emergencies, the military plays a vital role in disaster emergency medical rescue and public health emergency medical support. Therefore, a targeted informatization platform for emergency medical support is necessary. Emergency medical support involves multiple steps, including needs assessment, information processing, organization and command, medical treatment, casualty evacuation, health and epidemic prevention, and force deployment. The complex operations and vast amounts of data involved make it difficult to implement the entire process, from data to artificial intelligence capabilities, on a single informatization platform. Therefore, a solution that can address these technical issues and meet these needs is urgently needed to establish an emergency medical support think tank system for university departments to manage and research emergency medical support. Summary of the Invention

[0004] The purpose of this invention is to provide an emergency medical support think tank platform based on a large-scale server cluster to achieve the goal of the entire process from data to artificial intelligence capability application.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0006] An emergency medical support think tank platform based on a large-scale server cluster, including an emergency medical support think tank data management system and an emergency medical support think tank model and algorithm prototype system; the large-scale server cluster is built in a local area network,

[0007] Data management system: used to collect and store emergency medical support data from different sources to form an emergency medical support database;

[0008] Emergency Medical Support Think Tank Model and Algorithm Prototype System: Based on the Emergency Medical Support Database, this system provides a coding-free development environment for non-AI professionals to complete model development, architecture, training, and application in one stop, while also providing a coding development environment for professionals.

[0009] The emergency medical support think tank model and algorithm prototype system includes an image and frequency annotation application unit, a text annotation application unit, a non-coding model training application unit, a coding model training application unit, and a model publishing application unit;

[0010] Image and video annotation application unit: used to implement the entire process of collaborative annotation of emergency medical support image and video data, and supports online image and video data annotation, allowing users to annotate online through a browser;

[0011] Text annotation application unit: used to realize the whole process of collaborative annotation of emergency medical support text data, and supports online text data annotation, so that users can annotate online through the browser;

[0012] No-coding model training application unit: used to provide a no-coding model training channel for the emergency medical support database for non-AI professionals, realizing the full process of AI model training;

[0013] Coded Model Training Application Unit: This unit provides a web-based coded algorithm development and training channel for AI professionals, and assists them in the in-depth design of open source algorithm models.

[0014] Model publishing application unit: used to support the management of the entire process of model packaging, deployment, sharing and online operation.

[0015] Furthermore, the development environment of the emergency medical support think tank model and algorithm prototype system relies on a private cloud, and the emergency medical support think tank model and algorithm prototype system is based on a B / S architecture model.

[0016] Furthermore, the image and video annotation application unit includes a multi-user collaborative annotation module.

[0017] Furthermore, the text annotation application unit includes a multi-user collaborative annotation module.

[0018] Furthermore, the multi-user collaborative annotation module includes a web-based first-level visual operation interface;

[0019] The first-level visual operation interface includes collaborative annotation process management module and collaborative annotation task management module;

[0020] Collaborative annotation process management module: used to provide annotation process management tools for the emergency medical support database. The annotation process management tools include unified creation of collaborative annotation tasks, task division, task status presentation, team collaborative annotation, collaborative annotation task allocation and feedback management, subtask annotation progress status presentation, and real-time monitoring of data operation progress and results;

[0021] Collaborative annotation task management module: used to provide annotation task management tools for the emergency medical support database. The annotation task management tools include classification presentation of annotation tasks, search management of created tasks, annotation label template management, and data export of completed annotation tasks.

[0022] Furthermore, the first-level visual operation interface also includes an image and frequency selection and annotation module and an image and frequency annotation tool module;

[0023] Image and video selection and annotation module: used to selectively annotate emergency medical support image and video data;

[0024] Image and video annotation tool module: a tool set used to provide emergency medical support image and video data annotation process.

[0025] Furthermore, the coding-free model training application unit includes a web-based secondary visual operation interface;

[0026] The secondary visual operation interface includes a training data import and data verification module, a task progress status real-time monitoring module, a training task management module, an algorithm component management module, a training resource monitoring module, and a training model management module;

[0027] Training data import and data verification module: used to provide status information of the training data import process;

[0028] Task progress status real-time monitoring module: used to support users to pause and restart a certain part of the training task;

[0029] Training task management module: used to provide users with management of created training tasks, including deletion, modification, and copying of training task information.

[0030] Algorithm component management module: used to allow users to import components from the component market or uninstall components from their own component resources;

[0031] Training resource monitoring module: used to allow users to view the usage of training resources, including CPU, memory, GPU core number, video memory and storage resources;

[0032] Training model management module: used to allow users to import templates to directly form training workflows or delete saved templates.

[0033] Furthermore, the model publishing application unit includes a three-level Web-based visual operation interface for the entire model publishing process, and the three-level visual operation interface includes a shared model module and a model visualization module;

[0034] Shared model module: used to provide users with models shared by other users;

[0035] Model visualization module: used to provide users with functions such as model search, model screening, and model operation status presentation.

[0036] Furthermore, the emergency medical support think tank platform also includes an emergency medical support think tank application management system, which includes a cloud desktop. The cloud desktop is realized by imitating desktop operations through a browser, and users can download new applications or manage existing applications within the emergency medical support think tank platform through the cloud desktop.

[0037] Furthermore, the cloud desktop has a single sign-on permission control module;

[0038] Single sign-on permission control module: used to map the main login to other applications for the same user login; when the user enters the emergency medical support think tank platform, the user can log in to the cloud desktop to access other modules according to the corresponding permissions

[0039] The above technical solution has the following advantages or beneficial effects:

[0040] This invention provides an emergency medical support think tank platform based on a large-scale server cluster within a local area network. It also provides a toolkit for developing, training, and applying artificial intelligence (AI) algorithms and models, creating a user-friendly development environment for collected emergency medical support data, thereby establishing an emergency medical support think tank system for university applications. The overall architecture of this invention is open and shareable, meeting the needs of rapid application deployment and development. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The above content and the following specific embodiments of the present invention will be better understood when read in conjunction with the accompanying drawings. It should be noted that the accompanying drawings are only examples of the technical solutions claimed.

[0042] Figure 1 This is a schematic diagram of the structure of an emergency medical support think tank platform based on a large-scale server cluster according to one embodiment of the present invention;

[0043] Figure 2 This is a schematic diagram of the structure of an emergency medical support think tank model and algorithm prototype system of an emergency medical support think tank platform based on a large-scale server cluster in one embodiment of the present invention;

[0044] Figure 3 This is a schematic diagram of the structure of a primary visual operation interface of an emergency medical support think tank platform based on a large-scale server cluster according to one embodiment of the present invention;

[0045] Figure 4 It is a schematic diagram of the secondary visual operation interface structure of an emergency medical support think tank platform based on a large-scale server cluster in one embodiment of the present invention. DETAILED DESCRIPTION

[0046] The detailed features and advantages of the present invention are described in detail below in the specific embodiments, and the content is sufficient to enable any person skilled in the art to understand the technical content of the present invention and implement it accordingly. Based on the description, claims and drawings disclosed in this specification, those skilled in the art can easily understand the relevant purposes and advantages of the present invention.

[0047] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0048] like Figure 1-3 The first embodiment of the present invention is an emergency medical support think tank platform based on a large-scale server cluster, including an emergency medical support think tank data management system and an emergency medical support think tank model and algorithm prototype system. The large-scale server cluster is built within a local area network, wherein:

[0049] Data management system: used to collect and store emergency medical support data from various sources to form an emergency medical support database. The sources of emergency medical support data include emergency medical support data provided by task forces such as organization and command, medical treatment, evacuation of the wounded and sick, and needs assessment.

[0050] Emergency Medical Security Think Tank Model and Algorithm Prototype System: Based on the emergency medical security database, it provides non-coding development environment for non-artificial intelligence professionals to complete model development, architecture, training and application in one stop, and provides coded development environment for professionals.

[0051] In a preferred embodiment of the present invention, the emergency medical support think tank model and algorithm prototype system includes an image and frequency annotation application unit, a text annotation application unit, an uncoded model training application unit, an coded model training application unit and a model publishing application unit.

[0052] Specifically, the development environment of the emergency medical support think tank model and algorithm prototype system relies on a private cloud, and the emergency medical support think tank model and algorithm prototype system is based on a B / S architecture model. It can provide emergency medical support data labeling on this system, especially model training and model publishing based on the emergency medical support database. It can also provide a complete and standardized development interface to further meet the needs of rapid application deployment.

[0053] In a preferred embodiment of the present invention, the image and video annotation application unit is used to realize the whole process of collaborative annotation of emergency medical support image and video data, and supports online image and video data annotation, so that users can annotate online through a browser.

[0054] Specifically, the image and video annotation application unit includes a multi-user collaborative annotation module. The multi-user collaborative annotation module is a web-based first-level visual operation interface, which includes a collaborative annotation process management module, a collaborative annotation task management module, an image and video selection and annotation module, and an image and video annotation tool module.

[0055] More specifically, the collaborative annotation process management module is used to provide annotation process management tools for the emergency medical support database. The annotation process management tools include but are not limited to: unified creation of collaborative annotation tasks, and on the first-level visual operation interface, according to the sources of emergency medical support data, such as emergency medical support data from multiple task departments such as organization and command, medical treatment, evacuation of the wounded and sick, and demand assessment, as well as the classification of emergency medical support data, such as medical treatment, evacuation of the wounded and sick, and organization and command, etc., provide users with the operation functions of task information creation, annotation label creation, and annotation data upload; provide users with the operation functions of annotation task division, task distribution, task assignment and feedback, and task progress status presentation; support users to automatically divide the annotation data according to the number of subtasks and the size of data overlap between subtasks, and provide task redivision. It has different operation functions; supports team collaborative labeling, and users can invite their project team members to perform team collaborative labeling; supports collaborative labeling of no less than 10 people for the same group of emergency medical support image labeling tasks; supports collaborative labeling task allocation and feedback management, and provides at least 4 sub-task operation methods (such as confirm allocation, cancel allocation, pass, reject) to the task creator, and no less than 3 sub-task operation methods (such as accept, reject, submit) to the assigned sub-task personnel; supports the presentation of sub-task labeling progress status (such as "labeling", "pending", "rejected", "pending review", "completed" and other status types); supports users to monitor and operate the progress and results of data operations related to labeling tasks in real time.

[0056] More specifically, the collaborative labeling task management module is used to provide labeling task management tools for the emergency medical support database. The labeling task management tools include: classified presentation of labeling tasks, especially classified presentation of two types of labeling tasks: creation tasks and assigned subtasks, providing users with labeling task card views and list views. The list view can uniformly present labeling task information and progress status information; search management of creation tasks, supporting search, deletion and other operations for creation tasks; labeling label template management: providing label display, editing, modification, deletion, saving and other operations; exporting data of completed labeling tasks.

[0057] More specifically, the Image and Video Selection Annotation module is used to selectively annotate emergency medical support image and video data. The Image and Video Selection Annotation module is compatible with image annotation formats such as Yolo, Pascal VOC, and CoCo, and can be exported to any of these formats. Furthermore, for non-AI users, the Image and Video Selection Annotation module provides a method for generating training datasets using scenario generation; for AI users, the module provides a method for generating training datasets using file format generation. The annotations in the Image and Video Selection Annotation module can meet the requirements of many AI scenarios in image and video applications, including image classification, object detection, instance segmentation, semantic segmentation, and other computer vision model training requirements. For the same image of emergency medical support data, the Image and Video Selection Annotation module can provide at least 50 annotations. It supports at least three annotation modes: general annotation, interpolation annotation, and attribute annotation. General annotation is used for image data annotation and is used to annotate target bounding boxes (such as rectangles and polygons) in the image; interpolation annotation is used for video data annotation and is used to annotate moving objects in the video; and attribute annotation is used to annotate multiple attributes of a single image. The image selection and annotation module further provides users with no less than five image annotation tools, including rectangular box annotation, point annotation, polygon annotation, line segment annotation, and picture annotation, to address the complexity of the annotation area in the image. At the same time, it can support users to quickly implement video data annotation based on the bounding box interpolation algorithm between video key frames.

[0058] More specifically, the image and video annotation tool module is used to provide a tool set for the annotation process of emergency medical support image and video data. The above-mentioned tool set includes: providing auxiliary tools for the image annotation process, supporting functions such as undo, redo, and save of user annotation operations, supporting the operation functions of rotating, zooming in, and adjusting the annotated image, and users can freely switch subtasks under the current annotation task, supporting the mouse wheel to zoom in and out of the image and move the image; providing image annotation statistics tools, users can view the number of annotation boxes created for the annotation task, and sort them by label (such as transportation, personnel) and annotation type (such as polygon, box, etc.); editing tools for annotation boxes, including locking labels, fixing, displaying, blocking, copying, annotation propagation, changing labels, modifying properties, etc.; annotation box management tools, including merging, separating, and grouping annotation boxes; drawing style switching tools, such as different annotation boxes, different annotation box groups, different labels distinguishing color display and display bitmaps, etc.; supporting the customization of tool components by dragging and dropping to meet the personalized annotation interface; setting tools for video players, the settings include: playback cadence, playback speed, picture settings, and rotation and scaling.

[0059] In a preferred embodiment of the present invention, the text annotation application unit is used to implement the entire process of collaborative annotation of emergency medical support text data, and supports online text data annotation, so that users can annotate online through a browser.

[0060] Specifically, the text annotation application unit can implement annotation of emergency medical support text data through the above-mentioned multi-user collaborative annotation module.

[0061] In a preferred embodiment of the present invention, the coding-free model training application unit is used to provide a coding-free model training channel for the emergency medical security database for non-artificial intelligence professionals, realizing the full process of artificial intelligence model training; artificial intelligence model training includes training task creation, training algorithm model, evaluating model performance and exporting model.

[0062] Specifically, the coding-free model training application unit includes a web-based secondary visual operation interface.

[0063] The secondary visual operation interface includes a training data import and data verification module, a task progress status real-time monitoring module, a training task management module, an algorithm component management module, a training resource monitoring module, and a training model management module.

[0064] Training data import and data verification module: used to provide status information of the training data import process.

[0065] Real-time monitoring module for task progress status: used to support operations such as pausing and restarting a certain part of the training task.

[0066] Training task management module: used to allow users to manage created training tasks, display the experiment status, and provide operations such as deletion, modification, and copying of training task information.

[0067] Algorithm component management module: used to allow users to import components from the component market or uninstall components from their own component resources.

[0068] Training Resource Monitoring: This module provides information on training resource usage, including CPU, memory, GPU core count, video memory, and storage resources. Users can allocate CPU, memory, GPU, and other computing resources based on training resource usage, enabling a single GPU to train multiple models in parallel and improve resource utilization.

[0069] Training model management module: used to allow users to select their own or downloaded models to directly form a complete training workflow or delete saved templates.

[0070] In a preferred embodiment of the present invention, there is a coding model training application unit: used to provide a Web-based coding algorithm development and training channel for artificial intelligence professionals, and to assist the coding algorithm development and training channel in the in-depth design of open source algorithm models.

[0071] Specifically, the coded algorithm development and training channel has a mainstream artificial intelligence development environment, can connect to computing resource configurations of various specifications, and can flexibly adjust the system disk space to meet the needs of different development tasks. Different data sources can be configured and managed in the coded algorithm development and training channel. Users can upload emergency medical support data files of various formats to the coded algorithm development and training channel. The coded algorithm development and training channel will automatically load the data into the development environment, and users do not need to download, store, or repeatedly upload. During the operation of the coded algorithm development and training channel, users can stop and start the development environment at any time without any operation and maintenance configuration; it also supports segmented code execution, can display and save the running results, and does not need to start from the beginning each time, retaining the running result context. Online data visualization is achieved on the coded model training application unit, that is, it supports visualization of program execution results.

[0072] In a preferred embodiment of the present invention, the model publishing application unit is used to support the management of the entire process of model packaging, deployment, sharing and online operation.

[0073] Specifically, the model publishing application unit includes a three-level web-based visual operation interface for the entire model publishing process. The three-level visual operation interface includes a shared model module and a model visualization module. In the shared model module, when a user runs a model shared by other users online, the user can also use the model shared by others. The model visualization module includes functions such as model search, model screening, and model operation status presentation. It supports users to view and edit model documents, and can provide rich, friendly, and easy-to-understand information prompts to guide users to quickly perform operations on the model. More specifically, the model publishing application unit also includes a model encapsulation module, which is used to encapsulate the model into a Web service and implement the registration and discovery mechanism of such services.

[0074] In a preferred embodiment of the present invention, the emergency medical support think tank platform also includes an emergency medical support think tank application management system. The emergency medical support think tank application management system includes a cloud desktop, which is implemented by imitating desktop operations through a browser. Users only need to simply open the browser and enter the address to log in to the cloud desktop.

[0075] Specifically, the cloud desktop has a single sign-on permission control module. This module is used to map the primary login to other applications for the same user. When a user enters the Emergency Medical Support Think Tank Platform, logging into the cloud desktop can access other modules based on the corresponding permissions.

[0076] More specifically, the cloud desktop comes with an "app store" function, from which users can download new apps and manage existing apps. Users can also perform personal information management operations such as editing and modifying personal information and passwords on the cloud desktop. Users can also personalize the cloud desktop, including supporting users to upload and change desktop backgrounds and change desktop themes (including icon size, text size, and taskbar position). To facilitate flexible account management, users can modify, add, or delete individual login accounts.

[0077] More specifically, on the cloud desktop, users can customize the sorting and grouping of applications according to their own usage habits. Among them, the customized arrangement of applications has two modes: center arrangement and side arrangement; the customized grouping of applications needs to support the addition of new application folders. Users can classify application icons into corresponding customized folders according to their personal interests. The sub-applications carried can be displayed by hovering the mouse over them. When using, double-clicking the sub-application can easily enter the sub-application. Pop-up operation management functions must be provided. Cloud desktop applications can also open application pop-ups and taskbar displays by double-clicking. The active pop-up window is located at the top layer. The pop-up window can be dragged and resized at will, and it also has shortcut function keys for maximizing and minimizing. After the pop-up window is generated, the corresponding task is displayed in the taskbar, and clicking the task in the taskbar can also activate the task pop-up window. The cloud desktop can also support user message interaction and management functions such as instant messaging, real-time task message reminders, and friend management.

[0078] The terms and expressions used herein are for descriptive purposes only, and the present invention is not limited to these terms and expressions. The use of these terms and expressions does not exclude any equivalent features shown and described (or portions thereof), and it should be recognized that various modifications that may exist are also intended to be included within the scope of the claims. Other modifications, variations, and substitutions are also possible. Accordingly, the claims should be deemed to cover all such equivalents.

[0079] Similarly, it should be pointed out that although the present invention has been described with reference to the current specific embodiments, ordinary technicians in this technical field should realize that the above embodiments are only used to illustrate the present invention, and various equivalent changes or substitutions can be made without departing from the spirit of the present invention. Therefore, as long as the changes and modifications to the above embodiments are within the scope of the essential spirit of the present invention, they will fall within the scope of the claims of the present invention.

Claims

1. An emergency medical support think tank platform based on a large-scale server cluster, characterized by: It includes the emergency medical support think tank data management system and the emergency medical support think tank model and algorithm prototype system; the large-scale server cluster is built in the local area network, The data management system is used to collect and store emergency medical support data from different sources to form an emergency medical support database; The emergency medical support think tank model and algorithm prototype system: Based on the emergency medical support database, it provides a coding-free development environment for non-AI professionals to complete model development, architecture, training and application in one stop, and provides a coding development environment for professionals; The emergency medical support think tank model and algorithm prototype system includes an image and frequency annotation application unit, a text annotation application unit, a non-coding model training application unit, a coding model training application unit, and a model publishing application unit; The image and video annotation application unit is used to realize the whole process of collaborative annotation of emergency medical support image and video data, and supports online image and video data annotation, so that users can annotate online through the browser; The text annotation application unit is used to realize the whole process of collaborative annotation of emergency medical support text data, and supports online text data annotation, so that users can annotate online through the browser; The non-coding model training application unit is used to provide a non-coding model training channel for the emergency medical support database for non-artificial intelligence professionals, thereby realizing the entire process of artificial intelligence model training; The coded model training application unit is used to provide a web-based coded algorithm development and training channel for artificial intelligence professionals, and assist the coded algorithm development and training channel in the in-depth design of open source algorithm models; The model publishing application unit is used to support the management of the entire process of packaging, deployment, sharing and online operation of the model.

2. The emergency medical support think tank platform based on a large-scale server cluster according to claim 1 is characterized in that: The development environment of the emergency medical support think tank model and algorithm prototype system relies on a private cloud, and the emergency medical support think tank model and algorithm prototype system is based on a B / S architecture model.

3. The emergency medical support think tank platform based on a large-scale server cluster according to claim 1 is characterized in that: The image and frequency annotation application unit includes a multi-user collaborative annotation module.

4. The emergency medical support think tank platform based on a large-scale server cluster according to claim 3 is characterized in that: The text annotation application unit includes the multi-user collaborative annotation module.

5. The emergency medical support think tank platform based on a large-scale server cluster according to any one of claims 3 or 4, characterized in that: The multi-user collaborative annotation module includes a web-based primary visual operation interface; The first-level visual operation interface includes a collaborative annotation process management module and a collaborative annotation task management module; The collaborative annotation process management module is used to provide the emergency medical support database with annotation process management tools, including unified creation of collaborative annotation tasks, task division, task status presentation, team collaborative annotation, collaborative annotation task allocation and feedback management, subtask annotation progress status presentation, and real-time monitoring of the progress and results of data operations; The collaborative annotation task management module is used to provide an annotation task management tool for the emergency medical support database. The annotation task management tool includes classified presentation of annotation tasks, search management of created tasks, annotation label template management, and data export of completed annotation tasks.

6. The emergency medical support think tank platform based on a large-scale server cluster according to claim 5 is characterized in that: The first-level visual operation interface also includes an image frequency selection and annotation module and an image frequency annotation tool module; The image and video selection and annotation module is used to selectively annotate the emergency medical support image and video data; The image and video annotation tool module is used to provide a tool set for the emergency medical support image and video data annotation process.

7. The emergency medical support think tank platform based on a large-scale server cluster according to claim 5 is characterized in that: The coding-free model training application unit includes a web-based secondary visual operation interface; The secondary visual operation interface includes a training data import and data verification module, a task progress status real-time monitoring module, a training task management module, an algorithm component management module, a training resource monitoring module, and a training model management module; The training data import and data verification module is used to provide status information of the training data import process; The task progress status real-time monitoring module is used to support the user to pause or restart a certain part of the training task; The training task management module is used to provide the user with management of the created training tasks, including deletion, modification, and copying of training task information; Algorithm component management module: used to provide the user with the ability to import components from the component market or uninstall components from their own component resources; Training resource monitoring module: used to allow users to view the usage of training resources, including CPU, memory, GPU core number, video memory and storage resources; Training model management module: used to provide the user with import templates to directly form a training workflow or delete saved templates.

8. The emergency medical support think tank platform based on a large-scale server cluster according to claim 5 is characterized in that: The model publishing application unit includes a three-level Web-based visual operation interface for the entire model publishing process, and the three-level visual operation interface includes a shared model module and a model visualization module; The shared model module is used to provide the user with a model shared by other users; The model visualization module is used to provide the user with functions related to model search, model screening, and model operation status presentation.

9. The emergency medical support think tank platform based on a large-scale server cluster according to claim 1 is characterized in that: The emergency medical support think tank platform also includes an emergency medical support think tank application management system, which includes a cloud desktop. The cloud desktop is implemented by imitating desktop operations through the browser, and the user can download new applications or manage existing applications in the emergency medical support think tank platform through the cloud desktop.

10. The emergency medical support think tank platform based on a large-scale server cluster according to claim 9 is characterized in that: The cloud desktop has a single sign-on authority control module; The single sign-on authority control module is used to map the current main login to other applications for the login of the same user; when the user enters the emergency medical support think tank platform, he can log in to the cloud desktop and access other modules according to the corresponding permissions.

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