Remote medical oriented 5G multi-link network dynamic adaptation method and device

Abstract

The invention relates to a telemedicine-oriented 5G multi-link network dynamic adaptation method and device, and the method comprises the steps: building a mathematical model based on a WRR weighted polling scheduler, putting a to-be-sent message into a to-be-sent cache stack, enabling a pointer of the stack reading the message to correspond to a first message, creating two WRR queue weights to correspond to two scheduling message queues, and enabling the WRR queue weights to correspond to two scheduling message queues; a message in a cache stack is subjected to polling scheduling and split into two message queues, the two message queues correspond to two transmission links, a message reading pointer of each transmission link points to the head of the message queue, and by integrating a 5G multi-link aggregation algorithm, the communication bandwidth of a single service is increased by two times. According to the technical scheme, the bandwidth requirements of the upper and lower networks of the medical equipment in a mobile environment are met, SIM cards of different operators can be inserted, the problems that the bandwidth is limited and the time delay is too large in real-time data communication interaction faced by the current medical terminal equipment are solved, and a new technical scheme is provided for the development of remote medical services.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of medical informatization, in particular to a 5G multi-link network dynamic adaptation method and device for telemedicine. BACKGROUND

[0002] The telemedicine application has typical characteristics of high-fidelity, ultra-high-definition video and large-capacity, high-security data interaction. The 5G private network provides network support for the rapid development of telemedicine. The characteristics of 5G network such as low latency, large bandwidth and high concurrency meet the demand of Internet + medical service. In order to ensure the safety and reliability of medical service network, it is urgent to build a deterministic network by using 5G multi-link dynamic adaptation, and a medical private network that is compatible and safe and controllable. Most of the 5G modules of current medical devices adopt single-channel design, and the network mode is single, and the 5G network across operators is not compatible. SUMMARY

[0003] In order to solve the existing problems, the present application provides a 5G multi-link network dynamic adaptation method and device for telemedicine.

[0004] The present application adopts the following technical scheme:

[0005] A 5G multi-link network dynamic adaptation method for telemedicine, comprising a 5G multi-link aggregation algorithm process for processing a to-be-sent message, the 5G multi-link aggregation algorithm process for processing the to-be-sent message comprising:

[0006] A10: establishing a mathematical model based on a WRR weighted round-robin scheduler;

[0007] A20: placing the to-be-sent message into a to-be-sent cache stack, and corresponding a pointer of the stack reading the message to a first message;

[0008] A30: creating two WRR queue weights corresponding to two scheduling message queues;

[0009] A40: the scheduler cyclically reads the to-be-sent message in the cache stack, and based on the WRR weight, the to-be-sent message in the cache stack is round-robin scheduled and split into two message queues;

[0010] A50: corresponding the two split message queues to two transmission links, and pointing a message pointer of each transmission link to a head of the message queue.

[0011] Preferably, the 5G multi-link network dynamic adaptation method for telemedicine further comprises a 5G multi-link aggregation algorithm process for processing a received message, the 5G multi-link aggregation algorithm process for processing the received message comprising:

[0012] B10: Establish a mathematical model based on WRR weighted round robin scheduler;

[0013] B20: Put the received multiple message queues into the cache stack, and correspond the message head pointer of the stack to the first message head of each message queue;

[0014] B30: Create 2 WRR queue weights corresponding to 2 scheduling message queues;

[0015] B40: Based on the WRR weight, poll the 2 message queues received in the cache stack, and form 1 message queue according to the WRR weight of the 2 message queue data;

[0016] B50: Put the combined message queue into the receiving cache, and place the read pointer at the message head.

[0017] A telemedicine-oriented 5G multi-link network dynamic adaptation device suitable for the above-mentioned telemedicine-oriented 5G multi-link network dynamic adaptation method, comprising an integrated 5G multi-link aggregation function medical single board, the integrated 5G multi-link aggregation function medical single board comprising: a four-core main chip processor, a 5G wireless communication module, a Wi-Fi module, a USB interface, an EDP interface, a SIM card slot, an HDMI interface, an audio interface, a gigabit network port, a power supply interface and an LVDS interface.

[0018] Preferably, the four-core main chip processor adopts a Ruihua micro RK3288 chip, which is built-in four-core 32-bit ARM Coretex-A17 CPU and Mali-T764 GPU, and the CPU has a main frequency of up to 1.6GHz, and the GPU supports AFBC frame buffer compression, supports OpenGL ES1.1 / 2.0 / 3.1, OpenCL and DirectX9.3.

[0019] Preferably, the 5G wireless communication module adopts a 5G chip platform supporting dual-card dual-communication, supports uplink 2*2 MIMO and downlink 4*4 MIMO, has 3G / 4G / 5G multi-standard, supports the latest 5G standard 3GPP Rel-16; the Wi-Fi module adopts a Wi-Fi chip platform of Intel dual-frequency Wireless-AC 9260, supports uplink and downlink 2*2 MIMO, the maximum speed reaches 1.73Gbps, and integrates a Bluetooth chip.

[0020] Preferably, the USB interface provides 5 USB ports; the EDP interface supports high-definition access for all-in-one machines / tablets / TV screens, supporting a resolution of 1920*1080; the SIM card slot adopts an external pop-up SIM card slot design, supporting two SIM cards for dual SIM dual standby, supporting Full size SIM card, mini SIM card, micro SIM card and nano SIM card; the HDMI interface meets the HDMI 2.0 standard and supports 3840x2160 high-definition output; the audio interface provides one microphone mono input and one audio stereo output; the Gigabit Ethernet port provides 10 / 100 / 1000M adaptive Ethernet communication; the power supply interface adopts a DC-5.5*2.5MM female connector, with a power input of 12V / 1.5A; the LVDS interface adopts 8-bit dual-channel LVDS output, supporting a resolution of 1920*1080.

[0021] The beneficial effects of this invention include: The 5G multi-link network dynamic adaptation method and device provided by this invention for telemedicine can provide a 5G multi-link network dynamic adaptation algorithm with ultra-high bandwidth transmission and low latency communication. By integrating the design concept of 5G multi-link aggregation algorithm, it aggregates 5G multiple links into a single link with ultra-high bandwidth performance to provide high-quality service to medical devices. Based on the WRR weighted round-robin algorithm, it realizes the function of 5G multi-link aggregation, which increases the communication bandwidth of a single service by 2 times. It can meet the uplink and downlink network bandwidth requirements of medical devices in mobile environments. At the same time, it can also insert different operator SIM cards, reduce mobile network signal blind spots, improve the seamless operation of medical devices, enhance convenience, and solve the problems of bandwidth limitation and excessive latency encountered by current medical terminal devices in real-time data communication interaction. It can ensure the real-time and stable transmission of high-definition video, especially the transmission of high-definition images for remote joint diagnosis and high-definition video interaction for remote conferencing in telemedicine. It can provide ultra-high 5G uplink and downlink communication bandwidth, providing solid technical and performance support for real-time high-definition video transmission in telemedicine. Furthermore, when integrated onto a single board, it can be widely applied to telemedicine equipment, thereby meeting the medical industry's requirements for high-bandwidth data transmission in medical devices. This is especially true for business assurance services during telemedicine data extraction and joint medical consultations, further improving the network bandwidth, network redundancy, and equipment security capabilities of telemedicine, and providing a new technical solution for the development of telemedicine services. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below:

[0023] Figure 1This is a flowchart of the 5G multi-link aggregation algorithm for processing packets to be sent in a 5G multi-link network dynamic adaptation method for telemedicine provided by the present invention.

[0024] Figure 2 This is a flowchart of the 5G multi-link aggregation algorithm for processing received messages in a 5G multi-link network dynamic adaptation method for telemedicine provided by the present invention.

[0025] Figure 3 This is a schematic diagram of the 5G multi-link aggregation process for processing messages to be sent.

[0026] Figure 4 This is a schematic diagram of the 5G multi-link aggregation process for processing received messages. Detailed Implementation

[0027] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0028] It should be understood that, when used in this application specification, the term "comprising" indicates the presence of the described feature, integral, step, operation, element, and / or component, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or collections thereof.

[0029] It should also be understood that the term “and / or” as used in this application specification means any combination of one or more of the associated listed items, as well as all possible combinations, and includes such combinations.

[0030] As used in this application specification, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [the described condition or event] is detected," or "in response to detection of [the described condition or event]."

[0031] Furthermore, in the description of this application, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0032] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0033] To illustrate the technical solution described in this application, specific embodiments will be described below.

[0034] This embodiment provides a 5G multi-link network dynamic adaptation method and device for telemedicine. The 5G multi-link aggregation algorithm can aggregate two 5G wireless channels based on one 5G module, which can directly increase the uplink and downlink bandwidth by 2 times. The WRR (Weighted Round Robin) algorithm is used to split and reassemble user service data according to the weight value for data aggregation processing. According to this algorithm, two 5G wireless channels can be aggregated, which improves the uplink and downlink rate performance by 2 times compared with the single link performance. Meanwhile, the 5G multi-link aggregation algorithm adopts a single-module dual-SIM dual-standby hardware architecture. Through a single baseband split IQ channel with dual radio frequency, it achieves various dual-SIM dual-standby service combinations such as 5G+5G / 5G+4G / 4G / 4G. Besides improving uplink and downlink network bandwidth in mobile environments, it also allows simultaneous insertion of SIM cards from two different operators, significantly reducing service performance degradation or interruptions due to poor network performance of a single operator. The service link exhibits high stability, low latency, and no packet loss, reducing mobile network signal blind spots and improving network availability. It can meet the goal of achieving download speeds of up to 1GBps and upload speeds of up to 200MBps for a single service channel, realizing high-reliability transmission across multiple operators and links, and is suitable for the requirements of the medical industry. In terms of software design, this embodiment uses the WRR algorithm to design and implement a solution for aggregated data packet segmentation scheduling and packet reassembly across two wireless link channels.

[0035] Specifically, this embodiment provides a 5G multi-link network dynamic adaptation method for telemedicine. Based on the WRR weighted polling algorithm, it designs a combined algorithm model for data packet segmentation scheduling and packet reassembly of two wireless link channels. It utilizes a highly integrated design scheme for dual-channel transmission and reception based on dual independent radio frequencies, enabling independent parallel operation of the two data channels. This embodiment of the 5G multi-link network dynamic adaptation method for telemedicine includes a 5G multi-link aggregation algorithm flow for processing packets to be transmitted, such as... Figure 1 As shown, the 5G multi-link aggregation algorithm process for processing messages to be sent includes:

[0036] A10: Establish a mathematical model based on the WRR weighted round-robin scheduler;

[0037] A20: Place the message to be sent into the buffer stack to be sent, and set the stack read message pointer to the first message;

[0038] A30: Create two WRR queue weights corresponding to two scheduling message queues;

[0039] A40: The scheduler reads the packets to be sent in the buffer stack in a loop, and splits the packets to be sent in the buffer stack into two packet queues based on the WRR weight.

[0040] A50: Map the two split message queues to two transmission links, and set the message reading pointer of each transmission link to the head of the message queue.

[0041] The specific implementation is as follows: 1) Place the message to be sent in the memory stack and set the message read pointer to the first message in the message queue; 2) Establish two identical WRR weighting values, each WRR weighting value corresponding to a new message queue; 3) The scheduler reads the message to be sent from the memory stack in a loop, and places it into the two new message queues according to the WRR weighting value.

[0042] In this way, the scheduler divides the messages to be sent into two new message queues, and each message queue is carried on one transmission link channel. Each transmission link is connected to the cloud-based medical private network, which is equivalent to expanding the original one service transmission channel into two transmission link channels, and the transmission bandwidth is also increased by 2 times.

[0043] In this embodiment, the 5G multi-link network dynamic adaptation method for telemedicine also includes a 5G multi-link aggregation algorithm process for processing received packets, such as... Figure 2 As shown, the 5G multi-link aggregation algorithm process for processing received messages includes:

[0044] B10: Establish a mathematical model based on the WRR weighted round-robin scheduler;

[0045] B20: The received message queues are placed into the buffer stack, and the stack read message pointer is mapped to the first message header of each message queue;

[0046] B30: Create two WRR queue weights corresponding to two scheduling message queues;

[0047] B40: Based on the WRR weight, the two message queues received in the buffer stack are round-robin scheduled, and the data of the two message queues are combined into one message queue according to the WRR weight;

[0048] B50: Place the combined message queue into the receive buffer and place the read pointer in the message header.

[0049] The specific implementation is as follows;

[0050] The receiver uses message reassembly processing. When two radio link messages arrive at the receiver's scheduler in batches, the scheduler sorts the queues according to the WRR weighted value (w value) carried in the message queue header, arranging them from high to low w value. At the same time, the scheduler sets a counter for each message queue, and the initial value of the counter is the length of the message queue.

[0051] The scheduler starts by polling each queue for packets using the value w. Only queues with non-zero counters are allowed to retrieve a packet, and the counter is decremented by 1. When the counters of all queues are zero, the packets from all queues have been reassembled into one queue, and the counters are reset.

[0052] Figure 3 This is a schematic diagram of the 5G multi-link aggregation process for processing messages to be sent. Figure 4 This is a schematic diagram of the 5G multi-link aggregation process for processing received messages.

[0053] Currently, in standard configurations, operators allocate a single 5G wireless packet link to private network users with an uplink bandwidth of 100Mbps and a downlink bandwidth of 500Mbps. The technology in this embodiment can expand the transmission bandwidth to 200Mbps for uplink and 1Gbps for downlink, making it particularly suitable for the high-definition video transmission needs of telemedicine applications, easily enabling real-time transmission of high-definition video images with resolutions from 2K to 8K.

[0054] This embodiment also provides a 5G multi-link network dynamic adaptation device for telemedicine, applicable to the aforementioned 5G multi-link network dynamic adaptation method for telemedicine. This device integrates a 5G multi-link aggregation algorithm, aggregating two 5G wireless links for a single service, thus doubling the service's transmission bandwidth. The 5G eMBB ultra-large bandwidth transmission enhancement algorithm and RF hardware design achieve 2*2 MIMO uplink transmission and 4*4 MIMO, resulting in a 2x increase in uplink transmission rate and a 4x increase in downlink reception rate compared to single-channel 5G services.

[0055] The device includes a medical board with integrated 5G multi-link aggregation functionality. This integrated 5G multi-link aggregation medical board includes: a quad-core main chip processor, a 5G wireless communication module, a Wi-Fi module, a USB interface, an EDP interface, a SIM card slot, an HDMI interface, an audio interface, a gigabit Ethernet port, a power supply interface, and an LVDS interface.

[0056] The quad-core main chip processor uses the Rockchip RK3288 chip CPU & GPU, which integrates a quad-core 32-bit ARM Cortex-A17 CPU and Mali-T764 GPU. The CPU has a main frequency of up to 1.6GHz, and the GPU supports AFBC frame buffer compression, OpenGLES 1.1 / 2.0 / 3.1, OpenCL and DirectX 9.3, and has strong image processing and computing performance.

[0057] The 5G wireless communication module adopts a 5G chip platform that supports dual-SIM dual-pass, supports uplink 2*2 MIMO and downlink 4*4 MIMO, has multiple 3G / 4G / 5G standards, supports the latest 5G standard 3GPP Rel-16, and supports dual-SIM dual-pass and high-bandwidth low-latency communication.

[0058] The Wi-Fi module uses the Intel dual-band Wireless-AC 9260 Wi-Fi chip platform, supports uplink and downlink 2*2 MIMO, with a maximum speed of 1.73Gbps, and integrates a Bluetooth chip.

[0059] The USB interface is a USB 2.0 interface, providing 5 USB ports to meet the connection needs of various devices. The EDP high-definition video interface supports high-definition access for all-in-one machines / tablets / TV screens, supporting a resolution of 1920*1080.

[0060] The SIM card slot adopts an external pop-out design, supporting dual SIM dual standby for two SIM cards. It supports various SIM card types, including Full-size SIM (original card), mini SIM (standard card), micro SIM (small card), and nano SIM (micro card). The dual SIM dual standby function allows simultaneous access to the 3G / 4G / 5G networks of two different operators, achieving the goal of ensuring service continuity across multiple operator networks.

[0061] The HDMI interface meets the HDMI 2.0 standard and supports 3840x2160 high-definition output. The audio interface provides one mono microphone input and one stereo audio output. The Gigabit Ethernet port provides 10 / 100 / 1000M adaptive Ethernet communication. The power interface uses a DC-5.5*2.5mm female connector with a 12V / 1.5A power input. The LVDS interface features 8-bit dual-channel LVDS output, supporting a resolution of 1920*1080.

[0062] In this embodiment, the 5G multi-link aggregation algorithm and corresponding single-board device can run on gateway devices of remote medical private networks and public networks. In this embodiment, the 5G multi-link aggregation algorithm is also applicable to expanding wireless transmission bandwidth and adding multi-carrier link backup options in networks of various standards such as 5G, 4G, Wi-Fi wireless networks, and wired networks. In this embodiment, the 5G multi-link aggregation algorithm, the WRR weighted queue message processing method, and the integrated communication single-board device are based on the same inventive concept. Since the algorithms, methods, electronic devices, and computer-readable storage devices solve problems in similar principles, their implementations can refer to each other, and repeated details will not be elaborated further.

[0063] In summary, the 5G multi-link aggregation algorithm, message processing method, and device provided in this embodiment can be applied to 5G networks, providing good protection for services with high network performance requirements (such as telemedicine services, real-time medical testing services, and real-time medical big data transmission services). It can run on various operating system platforms in various wireless communication device terminal products, mainly including but not limited to Kylin, HarmonyOS, Windows, Android, and Linux system platforms, and has good compatibility and a foundation for large-scale application.

[0064] Therefore, this embodiment provides a 5G multi-link network dynamic adaptation method and apparatus for telemedicine, including a 5G multi-link aggregation algorithm based on WRR and a medical board integrating 5G multi-link aggregation functionality. The 5G multi-link aggregation algorithm, through 5G physical layer link aggregation and segmentation algorithm code, aggregates multi-modal 5G wireless links for use by a single service, further improving wireless bandwidth and network channels. The medical board integrating 5G multi-link aggregation functionality is designed based on the RK3288 processor chip and a 5G wireless communication chip, and a 5G multi-link aggregation algorithm is customized for telemedicine services. It achieves full-duplex processing of fine-grained fragmented transmission and fragmented combined reception of service packets, realizing ultra-high bandwidth 5G network aggregation functionality with high link reliability. This embodiment is particularly suitable for scenarios with high bandwidth, high security, and high reliability network requirements for telemedicine and even smart healthcare services (such as high-definition video joint consultations in telemedicine, real-time transmission of color images from remote ultrasound, and multi-party video conferencing in medical settings), providing new technical support for the future development of telemedicine service networks.

[0065] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage devices (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as C, VHDL, Verilog, the object-oriented programming language Java, and the interpreted scripting language JavaScript.

[0066] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] Although preferred embodiments of the invention have been described, those skilled in the art, once they have learned the basic inventive concept, can make other changes and modifications to these embodiments.

[0070] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its scope. Therefore, if these modifications and variations fall within the scope of this invention, it is also intended that this invention include these modifications and variations.

Claims

1. A dynamic adaptation method for 5G multi-link networks for telemedicine, characterized in that, This includes a 5G multi-link aggregation algorithm process for processing packets to be sent, wherein the 5G multi-link aggregation algorithm process for processing packets to be sent includes: A10: Establish a mathematical model based on the WRR weighted round-robin scheduler; A20: Place the message to be sent into the buffer stack to be sent, and set the stack read message pointer to the first message; A30: Create two WRR queue weights corresponding to two scheduling message queues; A40: The scheduler reads the packets to be sent in the buffer stack in a loop, and splits the packets to be sent in the buffer stack into two packet queues based on the WRR weight. A50: Map the two split message queues to two transmission links, and set the message reading pointer of each transmission link to the head of the message queue.

2. The 5G multi-link network dynamic adaptation method for telemedicine according to claim 1, characterized in that, The 5G multi-link network dynamic adaptation method for telemedicine also includes a 5G multi-link aggregation algorithm process for processing received messages, which includes: B10: Establish a mathematical model based on the WRR weighted round-robin scheduler; B20: The received message queues are placed into the buffer stack, and the stack read message pointer is mapped to the first message header of each message queue; B30: Create two WRR queue weights corresponding to two scheduling message queues; B40: Based on the WRR weight, the two message queues received in the buffer stack are round-robin scheduled, and the data of the two message queues are combined into one message queue according to the WRR weight; B50: Place the combined message queue into the receive buffer and place the read pointer in the message header.

3. A 5G multi-link network dynamic adaptation device for telemedicine, applicable to the 5G multi-link network dynamic adaptation method for telemedicine as described in claim 1 or 2, characterized in that, The medical board integrating 5G multi-link aggregation function includes: a quad-core main chip processor, a 5G wireless communication module, a Wi-Fi module, a USB interface, an EDP interface, a SIM card slot, an HDMI interface, an audio interface, a gigabit Ethernet port, a power supply interface, and an LVDS interface.

4. The 5G multi-link network dynamic adaptation device for telemedicine according to claim 3, characterized in that, The quad-core main chip processor uses the Rockchip RK3288 chip, which integrates a quad-core 32-bit ARM Cortex-A17 CPU and a Mali-T764 GPU. The CPU has a main frequency of up to 1.6GHz, and the GPU supports AFBC frame buffer compression, OpenGL ES 1.1 / 2.0 / 3.1, OpenCL and DirectX 9.

3.

5. The 5G multi-link network dynamic adaptation device for telemedicine according to claim 3, characterized in that, The 5G wireless communication module adopts a 5G chip platform that supports dual-SIM dual-pass, supports uplink 2*2 MIMO and downlink 4*4 MIMO, has multiple 3G / 4G / 5G standards, and supports the latest 5G standard 3GPP Rel-16; the Wi-Fi module adopts the Intel dual-band Wireless-AC 9260 Wi-Fi chip platform, supports uplink and downlink 2*2 MIMO, with a maximum speed of 1.73Gbps, and integrates a Bluetooth chip.

6. The 5G multi-link network dynamic adaptation device for telemedicine according to claim 3, characterized in that, The USB interface provides 5 USB ports; the EDP interface meets the requirements for high-definition access for all-in-one machines / tablets / TV screens, and supports a resolution of 1920*1080; The SIM card slot adopts an external pop-out design, supporting dual SIM dual standby for two SIM cards, and supports Full-size SIM cards, mini SIM cards, micro SIM cards, and nano SIM cards; the HDMI interface meets the HDMI 2.0 standard and supports 3840x2160 high-definition output; the audio interface provides one mono microphone input and one stereo audio output; the Gigabit Ethernet port provides 10 / 100 / 1000M adaptive Ethernet communication; the power supply interface uses a DC-5.5*2.5MM female connector with 12V / 1.5A power input; the LVDS interface uses 8-bit dual-channel LVDS output, supporting a resolution of 1920*1080.

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