CN111326264A - Decentralized cloud video system and remote diagnosis method thereof - Google Patents
Decentralized cloud video system and remote diagnosis method thereof Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/16—Arrangements for providing special services to substations
- H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
- H04L12/185—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast with management of multicast group membership
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/14—Session management
- H04L67/141—Setup of application sessions
Abstract
The embodiment of the application discloses a remote diagnosis method based on a decentralized cloud video system, which is applied to an internal network of a hospital and forbids communication to the external network, and comprises the following steps: the method comprises the steps that a mobile terminal obtains IP address configuration information, wherein the IP address configuration information comprises IP addresses of one or more different departments in the internal network of the hospital and corresponding medical staff information; the mobile terminal and the rest one or more mobile terminals carry out self-adaptive point-to-point networking according to the IP address configuration information so as to form a star network taking local as a service initiator; the mobile terminal initiates remote video operation with the other one or more mobile terminals through the self-adaptive point-to-point network; and the mobile terminal acquires pathological data based on the remote video for remote diagnosis.
Description
Technical Field
The application relates to the technical field of communication, in particular to a decentralized cloud video system and a remote diagnosis method thereof.
Background
2020 in the beginning of the new year, people struggle with the new coronavirus pneumonia immediately, and the epidemic situation is suddenly as high as possible and is rough and unsmooth. In order to control epidemic situations and intensively collect and treat patients, Wuhan refers to a 'Xiaotangshan mode', and only needs to build fire Shenshan and Leishensshan hospitals within 10 days; the construction of the two-mountain hospital has great significance, timely relieves the condition that Wuhan patients are too many to receive and treat, and simultaneously enables the patients to receive formal and standardized treatment, and the centralized reception and treatment can also reduce the infection sources and the infection places and reduce the spread of epidemic situations.
Considering that the infection risk of medical care personnel is extremely high, the medical treatment work of a patient cannot be expanded after the medical care personnel fall down in the first line, and how to prevent nosocomial infection and medical care personnel infection is an urgent need to be solved in the two-mountain hospital. Therefore, how to realize the interconnection and intercommunication of information in medical care, doctors and patients, hospital and outside the hospital through multiple ways and multiple modes and ensure the timely and smooth communication is of great significance to the development of medical treatment work of two hospitals.
However, in the prior art, a medical intranet-based remote diagnosis system needs a central server, that is, a traditional cloud computing service cluster is used to ensure connection of a multi-party call, and a distributed remote diagnosis system often needs an extranet for connection. However, the intranet central server cannot be built in a short time under the emergency situation, so how to design a portable, decentralized and easy-to-use medical video system is a difficult problem to be solved urgently at present.
Disclosure of Invention
The embodiment of the application provides a medical decentralized cloud video system, which is used for solving the problems that information of hospitals is not intercommunicated under the condition of no external network and video interconnection cannot be realized in decentralized mode under the condition of a special internal network in the prior art, the medical point-to-point remote diagnosis capability under the condition of an emergency scene and no external network is improved, intercommunication can be realized only by IP addresses, the network architecture of remote diagnosis is built simply and easily operated, and the remote diagnosis utilization rate is improved.
The application discloses a remote diagnosis method based on a decentralized cloud video system, which is applied to an intranet in a hospital and forbids communication to the intranet, and comprises the following steps:
the method comprises the steps that a mobile terminal obtains IP address configuration information, wherein the IP address configuration information comprises IP addresses of one or more different departments in the internal network of the hospital and corresponding medical staff information;
the mobile terminal and the rest one or more mobile terminals carry out self-adaptive point-to-point networking according to the IP address configuration information so as to form a star network taking local as a service initiator;
the mobile terminal initiates remote video operation with the other one or more mobile terminals through the self-adaptive point-to-point network;
and the mobile terminal acquires pathological data based on the remote video for remote diagnosis.
Optionally, the mobile terminal obtains pathological data based on the remote video for remote diagnosis, including:
the mobile terminal receives pathological data sent by the other one or more mobile terminals based on the self-adaptive point-to-point network, wherein the pathological data comprise a lung CT (computed tomography) picture, personal information and symptom description of the patient;
and the mobile terminal carries out remote diagnosis with the other one or more mobile terminals through the video system and sends a diagnosis conclusion through the self-adaptive point-to-point network.
Optionally, the mobile terminal performs adaptive peer-to-peer networking with one or more other mobile terminals according to the IP address configuration information, including:
the mobile terminal acquires the IP addresses of the rest one or more mobile terminals and corresponding personnel information;
the mobile terminal sends a point-to-point connection request to the other one or more mobile terminals to establish a handshake connection;
after the handshake connection is successful, a local area network is established, the mobile terminal is set as a service initiator, the local area network is communicated with the rest one or more mobile terminals through broadcast messages, the real-time network resource occupancy rate of the local area network is acquired, and network resources are dynamically allocated according to the network resource occupancy rate.
Optionally, if the network resource is bandwidth occupancy and the maximum number of connection ports, dynamically allocating the network resource according to the network resource occupancy includes:
and dynamically distributing the maximum video connection number according to the bandwidth occupancy rate and the maximum connection port number.
Optionally, if the mobile terminal is a virus detection device with a wireless network function, the method further includes:
the mobile terminal acquires virus detection data in real time, and broadcasts and sends the real-time virus detection data to different mobile terminals in the networking based on the self-adaptive P2P networking;
and after different mobile terminals in the group network are diagnosed, performing a medical bed booking operation.
The embodiment of the application discloses a decentralized cloud video system, which is applied to remote diagnosis scenes and comprises the following steps:
the acquisition module is used for acquiring IP address configuration information, wherein the IP address configuration information comprises IP addresses of one or more different departments in the intranet of the hospital and corresponding medical personnel information;
the networking module is used for carrying out self-adaptive point-to-point networking with the rest one or more mobile terminals according to the IP address configuration information;
the remote video module is used for initiating remote video operation with the other one or more mobile terminals through the self-adaptive point-to-point network;
and the remote diagnosis module is used for acquiring pathological data based on the remote video information and carrying out remote diagnosis.
Optionally, the mobile terminal obtains pathological data based on the remote video for remote diagnosis, including:
the mobile terminal receives pathological data sent by the other one or more mobile terminals based on the self-adaptive point-to-point network, wherein the pathological data comprise a lung CT (computed tomography) picture, personal information and symptom description of the patient;
and the mobile terminal carries out remote diagnosis with the other one or more mobile terminals through the video system and sends a diagnosis conclusion through the self-adaptive point-to-point network.
Optionally, the networking module is configured to perform adaptive peer-to-peer networking with the remaining one or more mobile terminals according to the IP address configuration information, and includes:
acquiring the IP addresses and corresponding personnel information of the rest one or more mobile terminals;
sending a point-to-point connection request to the remaining one or more mobile terminals to establish a handshake connection;
after the handshake connection is successful, a local area network is established, the mobile terminal is set as a service initiator, the local area network is communicated with the rest one or more mobile terminals through broadcast messages, the real-time network resource occupancy rate of the local area network is acquired, and network resources are dynamically allocated according to the network resource occupancy rate.
Optionally, if the network resource is bandwidth occupancy and the maximum number of connection ports, dynamically allocating the network resource according to the network resource occupancy includes:
and dynamically distributing the maximum video connection number according to the bandwidth occupancy rate and the maximum connection port number.
Optionally, the system further includes a virus detection module, configured to obtain virus detection data in real time, and send the real-time virus detection data to different mobile terminals in the network based on the adaptive P2P network;
and the booking module is used for booking the medical bed after different mobile terminals in the group network confirm diagnosis.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below.
Fig. 1 is a network architecture of a cloud video in the prior art.
FIG. 2 is a flow diagram of a method for remote diagnostics based on a decentralized cloud video system, according to one embodiment;
FIG. 3 is a block diagram of another embodiment of a decentralized cloud video system.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Fig. 1 is a centralized remote diagnosis system in the prior art, as shown in fig. 1, a server side, a remote expert side, and a local mobile terminal are connected through a private network, that is, a central server is used to perform multi-terminal connection. Its advantage is convenient management, and the system is relatively stable, but the cost is higher, is difficult to build successfully in a plurality of emergent hospitals in the short time, consequently, to special circumstances such as new crown epidemic situation, prior art is difficult to build in the short time under this emergent scene.
In order to solve the problems in the prior art, the embodiment of the application provides a medical decentralized cloud video system and a remote diagnosis method, which are used as a point-to-point distributed remote diagnosis architecture, and remote diagnosis can be realized only by an internal network of a hospital (hereinafter referred to as a hospital internal network) without an external network.
As shown in fig. 2, an embodiment of the present invention provides a remote diagnosis method based on a decentralized cloud video system, which is applied to an intranet in a hospital and prohibits communication to the intranet, and includes:
s201, the mobile terminal acquires IP address configuration information, wherein the IP address configuration information comprises IP addresses of one or more different departments in the internal network of the hospital and corresponding medical staff information;
the mobile terminal can be a portable medical device, such as an auscultation device, a blood pressure detector, an electrocardio monitoring device and a virus detection device, and can also be a device which is convenient to carry and can conveniently carry out remote diagnosis, such as a traditional notebook computer, a mobile phone and a tablet personal computer. The mobile terminal needs to have a wireless interface function, an audio-visual function and a video recording function, such as a wireless transmission module, a microphone and a camera, so as to conveniently transmit video signals and perform remote diagnosis in real time.
Different from the traditional remote diagnosis mode, the embodiment of the invention can fully utilize the data acquisition function of the medical equipment to transmit the medical diagnosis data and the clinical data to the video system in real time so as to provide the remote inquiry of the first-hand information.
S202, the mobile terminal and the rest one or more mobile terminals carry out self-adaptive point-to-point networking according to the IP address configuration information so as to form a star network taking local as a service initiator;
the adaptive networking mode may specifically be:
acquiring the IP addresses and corresponding personnel information of the rest one or more mobile terminals; specifically, the IP address and the corresponding staff information are fixed, so each mobile terminal can acquire the IP address and the corresponding staff information corresponding to other mobile terminals, for example, the correspondence between "radiology principal" and "192.168.0.12" is, and the IP address and the corresponding staff information can be stored in a local database. The acquisition mode can adopt a broadcasting mode or can adopt manual information input.
In one embodiment, the broadcast mode may specifically be:
the current mobile terminal sets IP addresses of different points from 192.168.0.1 to 192.168.0.100 based on the company intranet, and sends a connection request message to the IP address in a traversal manner, wherein the connection request message comprises information of own IP address, connection port and the like.
If the mobile terminal corresponding to the IP address exists, after receiving a connection request sent by the current mobile terminal, sending a grant or rejection message to the current mobile terminal, and attaching the IP address and the personnel information of the current mobile terminal. Therefore, no matter the mobile terminal receives the message of approval or rejection, the corresponding IP address and the personnel matching information can be obtained.
Sending a point-to-point connection request to the remaining one or more mobile terminals to establish a handshake connection; after the IP address information is acquired, when remote diagnosis is needed, a point-to-point connection request is sent to one or more mobile terminals; different from the broadcast transmission mode, the present transmission is point-to-point, that is, IP-to-IP transmission, and in order to facilitate remote diagnosis by multiple users, the embodiment of the present invention supports one-to-many group video operations, and from the viewpoint of network architecture, the present invention is a star network that uses a service initiator as a central point and each connected party as an end node.
After the handshake connection is successful, a local area network is established, the mobile terminal is set as a service initiator, the local area network is communicated with the rest one or more mobile terminals through broadcast messages, the real-time network resource occupancy rate of the local area network is acquired, and network resources are dynamically allocated according to the network resource occupancy rate. The network resource occupancy rate may be different parameter indexes, such as a ratio of the current connection number to the maximum connection number, a network bandwidth, network port allocation, and the like, and different parameter indexes, such as a maximum bandwidth value, a maximum connection number, and the like, are set according to different network resource occupancy rates. For example, the mobile terminal dynamically allocates the maximum video connection number according to the bandwidth occupancy rate and the maximum connection port number.
S203, the mobile terminal initiates remote video operation with the other one or more mobile terminals through the self-adaptive point-to-point network;
and the mobile terminal establishes remote video operation with the rest terminals based on the point-to-point network. The most typical application of remote video operation is remote diagnosis, which requires real-time clinical data for expert demonstration and flexible file transmission mechanism.
And S204, the mobile terminal acquires pathological data based on the remote video and carries out remote diagnosis.
In the embodiment of the invention, the remote diagnosis aiming at the emergency scene is different from the traditional remote diagnosis mode, the flexibility requirement is higher, and the efficiency requirement is higher, so that the requirements of file (pathological data) transmission and mobility need to be combined on the basis of video call. In the aspect of file transmission, a mobile terminal receives pathological data sent by the other one or more mobile terminals based on an adaptive point-to-point network, wherein the pathological data comprises a lung CT (computed tomography) picture, personal information and symptom description of a patient; and carrying out remote diagnosis with the rest one or more mobile terminals through the video system, and sending a diagnosis result through the self-adaptive point-to-point network. In the aspect of mobility, the mobile terminal can be medical equipment, and different medical data can be gathered to itself, for example, the mobile terminal itself can be portable virus detection device, heart and lung function detection device etc. consequently, as long as the mobile terminal keeps the unobstructed circumstances of intranet connection, can move at any time in hospital inside to test different patient's pathological parameters at any time, send this parameter in real time to long-range expert, for real-time diagnosis.
For example, if the mobile terminal is a virus detection device with a wireless network function, the mobile terminal may obtain virus detection data in real time, and broadcast the real-time virus detection data to different mobile terminals in the network based on the adaptive P2P network; and after different mobile terminals in the network are diagnosed, the medical bed booking operation is carried out.
In one embodiment, a decentralized cloud video system 300 is disclosed for use in a remote diagnostic scenario, comprising:
an obtaining module 301, configured to obtain IP address configuration information, where the IP address configuration information includes IP addresses of one or more different departments in the intranet of the hospital and corresponding medical staff information;
a networking module 302, configured to perform adaptive peer-to-peer networking with the remaining one or more mobile terminals according to the IP address configuration information;
the self-adaptive networking mode may specifically be:
acquiring the IP addresses and corresponding personnel information of the rest one or more mobile terminals; specifically, the IP address and the corresponding staff information are fixed, so each mobile terminal can acquire the IP address and the corresponding staff information corresponding to other mobile terminals, for example, the correspondence between "radiology principal" and "192.168.0.12" is, and the IP address and the corresponding staff information can be stored in a local database. The acquisition mode can adopt a broadcasting mode or can adopt manual information input.
In one embodiment, the broadcast mode may specifically be:
the current mobile terminal sets IP addresses of different points from 192.168.0.1 to 192.168.0.100 based on the company intranet, and sends a connection request message to the IP address in a traversal manner, wherein the connection request message comprises information of own IP address, connection port and the like.
If the mobile terminal corresponding to the IP address exists, after receiving a connection request sent by the current mobile terminal, sending a grant or rejection message to the current mobile terminal, and attaching the IP address and the personnel information of the current mobile terminal. Therefore, no matter the mobile terminal receives the message of approval or rejection, the corresponding IP address and the personnel matching information can be obtained.
Sending a point-to-point connection request to the remaining one or more mobile terminals to establish a handshake connection; after the IP address information is acquired, when remote diagnosis is needed, a point-to-point connection request is sent to one or more mobile terminals; different from the broadcast transmission mode, the present transmission is point-to-point, that is, IP-to-IP transmission, and in order to facilitate remote diagnosis by multiple users, the embodiment of the present invention supports one-to-many group video operations, and from the viewpoint of network architecture, the present invention is a star network that uses a service initiator as a central point and each connected party as an end node.
After the handshake connection is successful, a local area network is established, the mobile terminal is set as a service initiator, the local area network is communicated with the rest one or more mobile terminals through broadcast messages, the real-time network resource occupancy rate of the local area network is acquired, and network resources are dynamically allocated according to the network resource occupancy rate. The network resource occupancy rate may be different parameter indexes, such as a ratio of the current connection number to the maximum connection number, a network bandwidth, network port allocation, and the like, and different parameter indexes, such as a maximum bandwidth value, a maximum connection number, and the like, are set according to different network resource occupancy rates. For example, the mobile terminal dynamically allocates the maximum video connection number according to the bandwidth occupancy rate and the maximum connection port number.
A remote video module 303, configured to initiate a remote video operation with the other one or more mobile terminals through the adaptive peer-to-peer network;
and the remote diagnosis module 304 is used for acquiring pathological data based on the remote video and performing remote diagnosis.
In the embodiment of the invention, the remote diagnosis aiming at the emergency scene is different from the traditional remote diagnosis mode, the flexibility requirement is higher, and the efficiency requirement is higher, so that the requirements of file (pathological data) transmission and mobility need to be combined on the basis of video call. In the aspect of file transmission, the remote diagnosis module 304 receives pathological data sent by the other one or more mobile terminals based on an adaptive peer-to-peer network, wherein the pathological data comprises a lung CT picture, personal information and symptom description of a patient; and carrying out remote diagnosis with the rest one or more mobile terminals through the video system, and sending a diagnosis result through the self-adaptive point-to-point network. In terms of mobility, the remote diagnosis module 304 can collect different medical data, for example, the system 300 itself can be a portable virus detection device, a cardiopulmonary function detection device, etc., so that the system 300 can move inside the hospital at any time, test pathological parameters of different patients at any time, and send the parameters to a remote expert in real time for real-time diagnosis as long as the system 300 keeps the intranet connection unobstructed.
For example, if the system 300 is a virus detection apparatus with a wireless network function, the system 300 may include a virus detection module, configured to obtain virus detection data in real time, and broadcast and send the real-time virus detection data to different mobile terminals in the network based on adaptive P2P network; moreover, the system 300 further includes a booking module, which is used for booking the medical bed after different mobile terminals in the network are diagnosed.
In another embodiment provided herein, a system further comprises a processor, an input device, an output device, and a memory. The input device, the output device, the memory and the processor are connected with each other through a bus.
The memory includes, but is not limited to, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), or a portable read-only memory (CD-ROM), which is used for storing instructions and data.
The input means are for inputting data and/or signals and the output means are for outputting data and/or signals. The output means and the input means may be separate devices or may be an integral device.
The processor may include one or more processors, for example, one or more Central Processing Units (CPUs), and in the case of one CPU, the CPU may be a single-core CPU or a multi-core CPU. The processor may also include one or more special purpose processors, which may include GPUs, FPGAs, etc., for accelerated processing.
The memory is used to store program codes and data of the network device.
The processor is used for calling the program codes and data in the memory and executing the steps in the method embodiment. Specifically, reference may be made to the description of the method embodiment, which is not repeated herein.
It will be appreciated that fig. 2 only shows a simplified design of the system. In practical applications, the system may also include necessary other components respectively, including but not limited to any number of input/output devices, processors, controllers, memories, etc., and all systems that can implement the embodiments of the present application are within the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the division of the unit is only one logical function division, and other division may be implemented in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. The shown or discussed mutual coupling, direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on or transmitted over a computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)), or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a read-only memory (ROM), or a Random Access Memory (RAM), or a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape, a magnetic disk, or an optical medium, such as a Digital Versatile Disk (DVD), or a semiconductor medium, such as a Solid State Disk (SSD).
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A remote diagnosis method based on a decentralized cloud video system is applied to an internal network of a hospital and communication to the external network is forbidden, and is characterized by comprising the following steps:
the method comprises the steps that a mobile terminal obtains IP address configuration information, wherein the IP address configuration information comprises IP addresses of one or more different departments in the internal network of the hospital and corresponding medical staff information;
the mobile terminal and the rest one or more mobile terminals carry out self-adaptive point-to-point networking according to the IP address configuration information so as to form a star network taking local as a service initiator;
the mobile terminal initiates remote video operation with the other one or more mobile terminals through the self-adaptive point-to-point network;
and the mobile terminal acquires pathological data based on the remote video for remote diagnosis.
2. The method of claim 1, wherein said mobile terminal obtains pathology data based on said remote video for remote diagnosis, comprising:
the mobile terminal receives pathological data sent by the other one or more mobile terminals based on the self-adaptive point-to-point network, wherein the pathological data comprise a lung CT (computed tomography) picture, personal information and symptom description of the patient;
and the mobile terminal carries out remote diagnosis with the other one or more mobile terminals through the video system and sends a diagnosis conclusion through the self-adaptive point-to-point network.
3. The method of claim 1, wherein the mobile terminal performs adaptive peer-to-peer networking with the remaining one or more mobile terminals according to the IP address configuration information, comprising:
the mobile terminal acquires the IP addresses of the rest one or more mobile terminals and corresponding personnel information;
the mobile terminal sends a point-to-point connection request to the other one or more mobile terminals to establish a handshake connection;
after the handshake connection is successful, a local area network is established, the mobile terminal is set as a service initiator, the local area network is communicated with the rest one or more mobile terminals through broadcast messages, the real-time network resource occupancy rate of the local area network is acquired, and network resources are dynamically allocated according to the network resource occupancy rate.
4. The method of claim 3, wherein the network resources are bandwidth occupancy and maximum connection port number, and the dynamically allocating the network resources according to the network resource occupancy comprises:
and dynamically distributing the maximum video connection number according to the bandwidth occupancy rate and the maximum connection port number.
5. The method according to claim 1, wherein the mobile terminal is a virus detection device with wireless network function, the method further comprising:
the mobile terminal acquires virus detection data in real time, and broadcasts and sends the real-time virus detection data to different mobile terminals in the networking based on the self-adaptive P2P networking;
and after different mobile terminals in the group network are diagnosed, performing a medical bed booking operation.
6. A decentralized cloud video system for remote diagnosis, comprising:
the acquisition module is used for acquiring IP address configuration information, wherein the IP address configuration information comprises IP addresses of one or more different departments in the intranet of the hospital and corresponding medical personnel information;
the networking module is used for carrying out self-adaptive point-to-point networking with the rest one or more mobile terminals according to the IP address configuration information so as to form a star network taking local as a service initiator;
the remote video module is used for initiating remote video operation with the other one or more mobile terminals through the self-adaptive point-to-point network;
and the remote diagnosis module is used for acquiring pathological data based on the remote video information and carrying out remote diagnosis.
7. The system of claim 6, wherein the remote diagnosis module is configured to perform remote diagnosis based on the remote video-based pathological data acquisition, comprising:
receiving pathological data sent by the other one or more mobile terminals based on an adaptive point-to-point network, wherein the pathological data comprise a lung CT (computed tomography) picture, personal information and symptom description of a patient;
and performing remote diagnosis with the rest one or more mobile terminals through the video system, and sending a diagnosis conclusion through the self-adaptive point-to-point network.
8. The system of claim 6, wherein the networking module is configured to perform adaptive peer-to-peer networking with the remaining one or more mobile terminals according to the IP address configuration information, and comprises:
acquiring the IP addresses and corresponding personnel information of the rest one or more mobile terminals;
sending a point-to-point connection request to the remaining one or more mobile terminals to establish a handshake connection;
after the handshake connection is successful, a local area network is established, the mobile terminal is set as a service initiator, the local area network is communicated with the rest one or more mobile terminals through broadcast messages, the real-time network resource occupancy rate of the local area network is acquired, and network resources are dynamically allocated according to the network resource occupancy rate.
9. The system of claim 8, wherein the network resources are bandwidth occupancy and maximum connection port number, and the dynamically allocating the network resources according to the network resource occupancy comprises:
and dynamically distributing the maximum video connection number according to the bandwidth occupancy rate and the maximum connection port number.
10. The system of claim 6, further comprising a virus detection module, configured to obtain virus detection data in real time, and broadcast and send the real-time virus detection data to different mobile terminals in the networking based on the adaptive P2P networking;
and the booking module is used for booking the medical bed after different mobile terminals in the group network confirm diagnosis.
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