CN111326264B - Decentralizing cloud video system and remote diagnosis method thereof - Google Patents
Decentralizing cloud video system and remote diagnosis method thereof Download PDFInfo
- Publication number
- CN111326264B CN111326264B CN202010184975.XA CN202010184975A CN111326264B CN 111326264 B CN111326264 B CN 111326264B CN 202010184975 A CN202010184975 A CN 202010184975A CN 111326264 B CN111326264 B CN 111326264B
- Authority
- CN
- China
- Prior art keywords
- point
- mobile terminal
- mobile terminals
- remote
- network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The embodiment of the application discloses a remote diagnosis method based on a decentralised cloud video system, which is applied to a hospital intranet and prohibits communication to an external network, and comprises the following steps: 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 hospital intranet and corresponding medical personnel information; the mobile terminal performs self-adaptive point-to-point networking with one or more other mobile terminals according to the IP address configuration information so as to form a star network taking a local place 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 signal and performs remote diagnosis.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a decentralised cloud video system and a remote diagnosis method thereof.
Background
Beginning in the new year 2020, a peace of war with a new type of coronal epidemic virus pneumonia immediately sounds, and epidemic situation is sudden and rough, so that people cannot feel the same. For controlling epidemic situation, intensively collecting and treating patients, the Wuhan refers to a mode of 'small Shang Shan', and only 10 days are used for constructing a Huoshan mountain and a Leishen mountain hospital; the construction of the two mountain hospitals has great significance, can timely relieve the condition that more armed patients cannot be treated, can receive normal and standardized treatment, can reduce infectious sources and infectious sites by centralized treatment, and can reduce epidemic situation diffusion.
In consideration of extremely high infection risk of medical staff, the medical treatment work of patients can not be unfolded after first-line medical staff falls down, and how to prevent nosocomial infection and medical staff infection is an urgent need to be solved by two-mountain hospitals. Therefore, how to solve the information interconnection and intercommunication of medical care, doctors and patients, in-hospital and out-of-hospital through multiple ways and modes ensures timely and smooth communication, and has important significance for the development of medical treatment and treatment work of two mountain hospitals.
However, in the prior art, a central server, that is, a traditional cloud computing service cluster is required for the remote diagnosis system based on the medical intranet to ensure connection of multiparty calls, and a distributed remote diagnosis system often requires an external network to connect. However, an intranet central server cannot be built in a short time under the emergency situation, so how to design the intranet central server to be light, decentralised and easy to use is a problem which needs to be solved by the current medical video system.
Disclosure of Invention
The embodiment of the application provides a medical decentralization cloud video system, which is used for solving the problems that in the prior art, information of hospitals is not communicated under the condition of no external network, and video interconnection can not be performed in a decentralization manner under the condition of special internal network, improving the medical point-to-point remote diagnosis capability under emergency scene and no external network connection, only needing IP address to communicate, enabling the network architecture of remote diagnosis to be built simply and easily, and improving the use rate of remote diagnosis.
The application discloses a remote diagnosis method based on a decentralization cloud video system, which is applied to a hospital intranet and prohibits communication to an external network, and comprises the following steps:
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 hospital intranet and corresponding medical personnel information;
the mobile terminal performs self-adaptive point-to-point networking with one or more other mobile terminals according to the IP address configuration information so as to form a star network taking a local place 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 signal and performs remote diagnosis.
Optionally, the mobile terminal obtains pathology data based on the remote video signal, and performs 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 comprises a patient lung CT picture, personal information and symptom description;
the mobile terminal performs remote diagnosis with the rest one or more mobile terminals through the video system, and sends diagnosis results 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 and the corresponding personnel information of the other one or more mobile terminals;
the mobile terminal sends a point-to-point connection request to the rest one or more mobile terminals to establish handshake connection;
after the handshake connection is successful, a local area network is established, the mobile terminal is set as a service initiator, communication is carried out with the other one or more mobile terminals in the local area network through broadcast messages, the real-time network resource occupancy rate of the local area network is obtained, and network resources are dynamically allocated according to the network resource occupancy rate.
Optionally, the network resource is bandwidth occupancy rate and the maximum number of connection ports, and dynamically allocating the network resource according to the network resource occupancy rate includes:
and dynamically distributing the maximum video connection number according to the bandwidth occupancy rate and the maximum connection port number.
Optionally, the mobile terminal is a virus detection device with a wireless network function, and the method further includes:
the mobile terminal acquires virus detection data in real time, and sends the real-time virus detection data broadcast to different mobile terminals in the networking based on the self-adaptive P2P networking;
and after the diagnosis is confirmed by different mobile terminals in the networking, medical bed booking operation is carried out.
The embodiment of the application discloses a decentralization cloud video system is applied to remote diagnosis scene, includes:
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 hospital intranet and corresponding medical staff 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 signal and performing remote diagnosis.
Optionally, the mobile terminal obtains pathology data based on the remote video signal, and performs 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 comprises a patient lung CT picture, personal information and symptom description;
the mobile terminal performs remote diagnosis with the rest one or more mobile terminals through the video system, and sends diagnosis results through the self-adaptive point-to-point network.
Optionally, the networking module is configured to perform adaptive peer-to-peer networking with one or more other mobile terminals according to the IP address configuration information, and includes:
acquiring IP addresses and corresponding personnel information of the rest one or more mobile terminals;
sending a point-to-point connection request to the rest 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, communication is carried out with the other one or more mobile terminals in the local area network through broadcast messages, the real-time network resource occupancy rate of the local area network is obtained, and network resources are dynamically allocated according to the network resource occupancy rate.
Optionally, the network resource is bandwidth occupancy rate and the maximum number of connection ports, and dynamically allocating the network resource according to the network resource occupancy rate 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 acquire virus detection data in real time, and send the real-time virus detection data broadcast 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 the diagnosis is confirmed by different mobile terminals in the networking.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below.
Fig. 1 is a network architecture of a cloud video in the prior art.
FIG. 2 is a flow diagram of a remote diagnostic method based on a de-centralized cloud video system in one embodiment;
FIG. 3 is a block diagram of another embodiment of a decentralized cloud video system.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It should be understood that the terms "comprises" and "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 is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification 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 any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Fig. 1 is a schematic diagram of a centralized remote diagnosis system in the prior art, as shown in fig. 1, the server side, the remote expert side and the local mobile terminal are connected through a private network, that is, multi-terminal connection is performed through a central server. The system is convenient to manage, relatively stable, high in cost and difficult to build successfully in a plurality of emergency hospitals in a short time, so that the prior art is difficult to build in a short time under special conditions such as a new crown epidemic situation.
Aiming at the problems existing in the prior art, the embodiment of the application provides a medical decentralizing cloud video system and a remote diagnosis method, which are used as a point-to-point distributed remote diagnosis framework, and can realize remote diagnosis only by a hospital intranet (hereinafter abbreviated as an in-hospital intranet) without an external network.
As shown in fig. 2, an embodiment of the present invention provides a remote diagnosis method based on a decentralised cloud video system, which is applied to a hospital intranet and prohibits communication to an extranet, 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 hospital intranet and corresponding medical staff information;
the mobile terminal can be portable medical equipment such as auscultation, a blood pressure detector, an electrocardiograph monitoring device and virus detection equipment, and can also be portable equipment such as a traditional notebook computer, a mobile phone and a tablet personal computer, and remote diagnosis can be conveniently carried out. 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 that video transmission is facilitated, and remote diagnosis is performed in real time.
In the embodiment of the invention, the data acquisition function of the medical equipment can be fully utilized, and the medical diagnosis data and the clinical data can be transmitted to the video system in real time for remote inquiry of the first hand information.
S202, the mobile terminal performs self-adaptive point-to-point networking with one or more other mobile terminals according to the IP address configuration information so as to form a star network taking a local place as a service initiator;
the self-adaptive networking mode specifically can be as follows:
acquiring IP addresses and corresponding personnel information of the rest one or more mobile terminals; specifically, the IP address and the corresponding personnel information are fixed, so that each mobile terminal can acquire the IP address and the corresponding personnel information corresponding to other mobile terminals, for example, the correspondence relationship between "the main trunk of the radio plums" and "192.168.0.12" can be stored in a local database. The acquisition mode can adopt a broadcasting mode or can input information manually.
In one embodiment, the broadcasting manner may specifically be:
the current mobile terminal sets up IP addresses of different points ranging from 192.168.0.1 to 192.168.0.100 based on the intranet of the company, and transmits a connection request message to the IP address in a traversing way, wherein the connection request comprises information of own IP address, connection ports and the like.
If the mobile terminal corresponding to the IP address exists, after receiving the 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 personnel information of the mobile terminal. Therefore, the current mobile terminal can acquire the corresponding IP address and personnel matching information no matter receiving the approval or rejection information.
Sending a point-to-point connection request to the rest 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; unlike the broadcast transmission mode, the present transmission is point-to-point, that is, IP-to-IP transmission, so as to facilitate multi-user remote diagnosis, the embodiment of the present invention supports one-to-many group video operation, and from the view of network architecture, the present invention is a star network with a service initiator as a central point and each connector 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, communication is carried out with the other one or more mobile terminals in the local area network through broadcast messages, the real-time network resource occupancy rate of the local area network is obtained, 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 bandwidth maximum value, a maximum connection number, and the like, are set according to the 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;
the mobile terminal establishes remote video operation with the rest of terminals based on the point-to-point network. The most typical application of remote video operation is remote diagnosis, and real-time clinical data is needed in the remote diagnosis process, so that the demonstration of experts is convenient, and a flexible file transmission mechanism is required.
S204, the mobile terminal acquires pathological data based on the remote video signal to perform remote diagnosis.
In the embodiment of the invention, the remote diagnosis for 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 are combined on the basis of video call. In the aspect of file transmission, 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 comprises lung CT pictures, personal information and symptom descriptions of patients; remote diagnosis is carried out with the rest one or more mobile terminals through the video system, and diagnosis conclusion is sent through the self-adaptive point-to-point network. In mobility, the mobile terminal can be medical equipment, and can collect different medical data, for example, the mobile terminal can be a portable virus detection device, a heart and lung function detection device and the like, so that the mobile terminal can move at any time in a hospital and test pathological parameters of different patients at any time as long as the mobile terminal keeps the connection of an intranet smooth, and the parameters are sent to a remote expert in real time for real-time diagnosis.
For example, the mobile terminal is a virus detection device with a wireless network function, so that the mobile terminal can acquire virus detection data in real time, and based on self-adaptive P2P networking, the real-time virus detection data is broadcast and sent to different mobile terminals in the networking; and after the diagnosis is confirmed by different mobile terminals in the networking, medical bed booking operation is carried out.
In one embodiment, a de-centralized cloud video system 300 is disclosed for use in a remote diagnostic scenario, comprising:
the acquiring module 301 is configured to acquire IP address configuration information, where the IP address configuration information includes IP addresses of one or more different departments in the hospital intranet and corresponding healthcare personnel information;
a networking module 302, configured to perform adaptive peer-to-peer networking with one or more other mobile terminals according to the IP address configuration information;
the self-adaptive networking mode may specifically be:
acquiring IP addresses and corresponding personnel information of the rest one or more mobile terminals; specifically, the IP address and the corresponding personnel information are fixed, so that each mobile terminal can acquire the IP address and the corresponding personnel information corresponding to other mobile terminals, for example, the correspondence relationship between "the main trunk of the radio plums" and "192.168.0.12" can be stored in a local database. The acquisition mode can adopt a broadcasting mode or can input information manually.
In one embodiment, the broadcasting manner may specifically be:
the current mobile terminal sets up IP addresses of different points ranging from 192.168.0.1 to 192.168.0.100 based on the intranet of the company, and transmits a connection request message to the IP address in a traversing way, wherein the connection request comprises information of own IP address, connection ports and the like.
If the mobile terminal corresponding to the IP address exists, after receiving the 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 personnel information of the mobile terminal. Therefore, the current mobile terminal can acquire the corresponding IP address and personnel matching information no matter receiving the approval or rejection information.
Sending a point-to-point connection request to the rest 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; unlike the broadcast transmission mode, the present transmission is point-to-point, that is, IP-to-IP transmission, so as to facilitate multi-user remote diagnosis, the embodiment of the present invention supports one-to-many group video operation, and from the view of network architecture, the present invention is a star network with a service initiator as a central point and each connector 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, communication is carried out with the other one or more mobile terminals in the local area network through broadcast messages, the real-time network resource occupancy rate of the local area network is obtained, 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 bandwidth maximum value, a maximum connection number, and the like, are set according to the 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 one or more other mobile terminals through the adaptive peer-to-peer network;
the remote diagnosis module 304 is configured to obtain pathological data based on the remote video signal, and perform remote diagnosis.
In the embodiment of the invention, the remote diagnosis for 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 are combined on the basis of video call. In terms of file transmission, the remote diagnosis module 304 receives pathological data sent by the other one or more mobile terminals based on the adaptive peer-to-peer network, wherein the pathological data comprises a patient lung CT picture, personal information and symptom description; remote diagnosis is carried out with the rest one or more mobile terminals through the video system, and diagnosis conclusion is sent through the self-adaptive point-to-point network. In terms of mobility, the remote diagnostic module 304 may collect different medical data, for example, the system 300 itself may be a portable virus detection device, a heart and lung function detection device, etc., so long as the system 300 keeps the intranet connected, it may move at any time inside the hospital, and test the pathological parameters of different patients at any time, and send the parameters to a remote expert in real time for real-time diagnosis.
For example, the system 300 is a virus detection device with a wireless network function, and the system 300 may include a virus detection module, configured to obtain virus detection data in real time, and send real-time virus detection data broadcast to different mobile terminals in the network based on adaptive P2P networking; and, the system 300 further comprises a booking module for booking medical beds after the different mobile terminals in the network are diagnosed.
In another embodiment provided herein, the 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 buses.
The memory includes, but is not limited to, random access memory (random access memory, RAM), read-only memory (ROM), erasable programmable read-only memory (erasable programmable read only memory, EPROM), or portable read-only memory (compact disc read to only memory, CD to ROM) for the associated instructions and data.
The input means is for inputting data and/or signals and the output means is for outputting data and/or signals. The output device and the input device may be separate devices or may be a single device.
A processor may include one or more processors, including for example one or more central processing units (central processing unit, CPU), which in the case of a 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 acceleration processing.
The memory is used to store program codes and data for the network device.
The processor is used to call the program code and data in the memory to perform the steps of the method embodiments described above. Reference may be made specifically to the description of the method embodiments, and no further description is given here.
It will be appreciated that figure 2 shows only a simplified design of the system. In practical applications, the system may also include necessary other elements, including but not limited to any number of input/output devices, processors, controllers, memories, etc., and all systems that may implement the embodiments of the present application are within the scope of protection of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the division of the unit is merely a logic function division, and there may be another division manner when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not performed. The coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In the above embodiments, it may be implemented in whole or in part 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. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted across 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 a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a read-only memory (ROM), or a random-access memory (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 (digital versatile disc, DVD), or a semiconductor medium such as a Solid State Disk (SSD), or the like.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any equivalent modifications or substitutions will be apparent to those skilled in the art within the scope of the present application, and these modifications or substitutions should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. The remote diagnosis method based on the decentralised cloud video system is applied to the internal network of a hospital and prohibits communication to the external network, and is characterized by comprising the following steps of:
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 hospital intranet and corresponding medical personnel information;
the mobile terminal performs self-adaptive point-to-point networking with the rest of the plurality of mobile terminals according to the IP address configuration information so as to form a star network taking a local place as a service initiator; comprising the following steps: the mobile terminal acquires the IP addresses and the corresponding personnel information of the other one or more mobile terminals; the mobile terminal sends a point-to-point connection request to the rest one or more mobile terminals to establish handshake connection; after the handshake connection is successful, a local area network is established, the mobile terminal is set as a service initiator, communication is carried out with the other one or more mobile terminals in the local area network through broadcast messages, the real-time network resource occupancy rate of the local area network is obtained, and network resources are dynamically allocated according to the network resource occupancy rate; the mobile terminal initiates remote video operation with the other one or more mobile terminals through the self-adaptive point-to-point networking;
the mobile terminal acquires pathological data based on the remote video signal and performs remote diagnosis; the mobile terminal receives pathological data sent by the other one or more mobile terminals based on the self-adaptive point-to-point networking; remote diagnosis is carried out with the rest one or more mobile terminals through a video system, and diagnosis conclusion is sent through the self-adaptive point-to-point networking; the mobile terminal comprises medical equipment, can collect different medical data and move at any time, test pathological parameters of different patients, and send the parameters to a remote expert in real time for real-time diagnosis.
2. The method of claim 1, wherein the mobile terminal obtains pathology data based on the 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 networking, wherein the pathological data comprises a patient lung CT picture, personal information and symptom description;
the mobile terminal performs remote diagnosis with the rest one or more mobile terminals through the video system, and sends diagnosis conclusion through the self-adaptive point-to-point networking.
3. The method of claim 1, wherein the network resources are bandwidth occupancy and a maximum number of connection ports, and 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.
4. The method of claim 1, wherein the mobile terminal is a virus detection device with wireless network function, and the method further comprises:
the mobile terminal acquires virus detection data in real time, and sends the real-time virus detection data broadcast to different mobile terminals in the self-adaptive peer-to-peer networking based on the self-adaptive peer-to-peer networking;
and after the diagnosis is confirmed by different mobile terminals in the self-adaptive point-to-point networking, medical bed booking operation is carried out.
5. A de-centralized cloud video system for use in a remote diagnostic setting, 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 internal network of the hospital and corresponding medical staff information;
the self-adaptive point-to-point networking module is used for carrying out self-adaptive point-to-point networking with the rest of a plurality of mobile terminals according to the IP address configuration information so as to form a star network taking a local place as a service initiator; comprising the following steps: acquiring IP addresses and corresponding personnel information of the rest one or more mobile terminals; sending a point-to-point connection request to the rest 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, communication is carried out with the other one or more mobile terminals in the local area network through broadcast messages, the real-time network resource occupancy rate of the local area network is obtained, and network resources are dynamically allocated according to the network resource occupancy rate;
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 networking;
the remote diagnosis module is used for acquiring pathological data based on the remote video signal and performing remote diagnosis; the mobile terminal receives pathological data sent by the other one or more mobile terminals based on the self-adaptive point-to-point networking; remote diagnosis is carried out with the rest one or more mobile terminals through a video system, and diagnosis conclusion is sent through the self-adaptive point-to-point networking; the mobile terminal comprises medical equipment, can collect different medical data and move at any time, test pathological parameters of different patients, and send the parameters to a remote expert in real time for real-time diagnosis.
6. The system of claim 5, wherein the remote diagnostic module is configured to obtain pathology data based on the remote video, and perform remote diagnostics, comprising:
receiving pathological data sent by the other one or more mobile terminals based on the self-adaptive point-to-point networking, wherein the pathological data comprises a patient lung CT picture, personal information and symptom description;
and carrying out remote diagnosis with the rest one or more mobile terminals through the video system, and sending diagnosis conclusion through the self-adaptive point-to-point networking.
7. The system of claim 5, wherein the network resources are bandwidth occupancy and a maximum number of connection ports, and 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.
8. The system of claim 5, further comprising a virus detection module configured to obtain virus detection data in real time and send the real-time virus detection data broadcast to different mobile terminals in the adaptive peer-to-peer networking based on the adaptive peer-to-peer networking;
and the booking module is used for booking the medical bed after the diagnosis is confirmed by different mobile terminals in the self-adaptive point-to-point networking.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010184975.XA CN111326264B (en) | 2020-03-17 | 2020-03-17 | Decentralizing cloud video system and remote diagnosis method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010184975.XA CN111326264B (en) | 2020-03-17 | 2020-03-17 | Decentralizing cloud video system and remote diagnosis method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111326264A CN111326264A (en) | 2020-06-23 |
| CN111326264B true CN111326264B (en) | 2023-07-28 |
Family
ID=71167583
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010184975.XA Active CN111326264B (en) | 2020-03-17 | 2020-03-17 | Decentralizing cloud video system and remote diagnosis method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111326264B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112672331B (en) * | 2020-12-11 | 2023-06-02 | 深圳成谷智能科技有限公司 | Bluetooth Mesh networking method, communication system and communication equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202004805U (en) * | 2011-04-14 | 2011-10-05 | 中山爱科数字科技有限公司 | Point-to-point medical information service system |
| WO2012130324A1 (en) * | 2011-04-01 | 2012-10-04 | Nokia Siemens Networks Oy | Capacity allocation in communications |
| CN103517033A (en) * | 2013-09-16 | 2014-01-15 | 天脉聚源(北京)传媒科技有限公司 | Video conference processing method and mobile terminals |
| CN204723032U (en) * | 2015-06-25 | 2015-10-28 | 天津福斯特科技股份有限公司 | Internet of Things intelligent guarding system |
| CN105828380A (en) * | 2016-05-09 | 2016-08-03 | 中国联合网络通信集团有限公司 | Network congestion control method and base station |
| US9746985B1 (en) * | 2008-02-25 | 2017-08-29 | Georgetown University | System and method for detecting, collecting, analyzing, and communicating event-related information |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2781684Y (en) * | 2004-12-24 | 2006-05-17 | 上海雷硕医疗器械有限公司 | Multimedia communication device for infectious disease area |
| CN101808125A (en) * | 2010-03-10 | 2010-08-18 | 苏州翊高科技有限公司 | Remote medical service system using WLAN (Wireless Local Area Network) standard and method thereof |
| CN101808124A (en) * | 2010-03-10 | 2010-08-18 | 苏州翊高科技有限公司 | Remote medical service system with patient end using WLAN (Wireless Local Area Network) standard and method thereof |
| CN103167580B (en) * | 2011-12-15 | 2016-08-10 | 中国移动通信集团公司 | A kind of network restriction, Apparatus and system |
| US20140136223A1 (en) * | 2012-11-15 | 2014-05-15 | Rachel Phillips | Systems and methods for automated repatriation of a patient from an out-of-network admitting hospital to an in-network destination hospital |
| US10521556B2 (en) * | 2014-11-26 | 2019-12-31 | General Electric Company | Cloud-based clinical distribution systems and methods of use |
| CN110517793A (en) * | 2019-09-02 | 2019-11-29 | 南京邮电大学 | A kind of interactive remote chcking ward system |
-
2020
- 2020-03-17 CN CN202010184975.XA patent/CN111326264B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9746985B1 (en) * | 2008-02-25 | 2017-08-29 | Georgetown University | System and method for detecting, collecting, analyzing, and communicating event-related information |
| WO2012130324A1 (en) * | 2011-04-01 | 2012-10-04 | Nokia Siemens Networks Oy | Capacity allocation in communications |
| CN202004805U (en) * | 2011-04-14 | 2011-10-05 | 中山爱科数字科技有限公司 | Point-to-point medical information service system |
| CN103517033A (en) * | 2013-09-16 | 2014-01-15 | 天脉聚源(北京)传媒科技有限公司 | Video conference processing method and mobile terminals |
| CN204723032U (en) * | 2015-06-25 | 2015-10-28 | 天津福斯特科技股份有限公司 | Internet of Things intelligent guarding system |
| CN105828380A (en) * | 2016-05-09 | 2016-08-03 | 中国联合网络通信集团有限公司 | Network congestion control method and base station |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111326264A (en) | 2020-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102917038B (en) | Cloud computation based remote service system for medical internet of things | |
| US5987519A (en) | Telemedicine system using voice video and data encapsulation and de-encapsulation for communicating medical information between central monitoring stations and remote patient monitoring stations | |
| EP2990972A1 (en) | Telemedicine system for remote consultation, diagnosis and medical treatment services | |
| JP6416112B2 (en) | Monitor defibrillator teletherapy server | |
| JP2015532021A (en) | System and method for remote consultation and condition assessment using parallel data and voice communication paths | |
| AU2012223646A1 (en) | Remote monitoring systems for monitoring medical devices via wireless communication networks | |
| WO2000049549A1 (en) | Methods and apparatus for processing, transmitting, and receiving data from an electronic medical device | |
| US20040073455A1 (en) | Child care telehealth access network | |
| CN111326264B (en) | Decentralizing cloud video system and remote diagnosis method thereof | |
| US8468239B2 (en) | Health presence local management interface | |
| CN107578799A (en) | A kind of medical information Real-Time Sharing system based on database | |
| EP3283987A1 (en) | A method for monitoring and controlling patient parameters and transmitting medical information and a system for carrying out the method | |
| CN111314668B (en) | Decentralized cloud video system and remote ward-round method thereof | |
| CN103247012A (en) | Medical resource optimal configuration system | |
| CN111314360B (en) | In-hospital cloud video system | |
| CN111355747B (en) | Decentralized cloud video system and doctor-patient interaction method thereof | |
| CN116807399A (en) | 5G-based remote intensive care system | |
| KR101674618B1 (en) | system for providing the remote medical image treatment based virtualization | |
| CN108346464A (en) | A kind of Telemedicine platform | |
| CN113382192B (en) | Medical decentralization cloud video system | |
| CN114038544A (en) | Emergency call preliminary examination triage system | |
| CN108010580A (en) | Cloud medical system | |
| CN107315921A (en) | The tele-medicine conference system of real-time communication can be realized | |
| CN107977545A (en) | Medical treatment method based on real-time communication and remote medical system thereof | |
| CN111798967A (en) | Wisdom ultrasonic testing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |