Ground networking architecture for three-break emergency communication scene

Abstract

The invention relates to a ground networking architecture for a three-break emergency communication scene. The ground networking architecture comprises an intelligent terminal backbone node and a plurality of edge nodes wirelessly connected with the intelligent terminal backbone node, wherein the intelligent terminal backbone node is used as a receiving terminal and a sending terminal for a communication satellite to obtain data on the ground, and is also used as a data afflux point of all the edge nodes; the intelligent terminal backbone node is provided with a data processing module and a data calculation module, and when data which cannot be calculated and decision data are received from the edge nodes, the intelligent terminal backbone node is used for implementing data decision and calculation and sending instruction type signals to a satellite at the same time; the signals are transmitted to a gateway station and then transmitted to a command center after being forwarded by satellites; the edge node supports node networking and deployment management by using a self-programmable open source operating system, carries out rapid deployment networking in a disaster scene for communication, and has the advantages of large coverage range, low power consumption and edge computing power.

Description

Technical Field

[0001] The present invention relates to the field of satellite communication terminals and ground networking technology, and in particular to a ground networking architecture for three-break emergency communication scenarios. Background Art

[0002] like Figure 1 As shown in the figure, currently, portable terminals are often used for disaster sites in emergency communication scenarios, and they are connected to satellites at disaster sites when three disconnections occur. The coverage range of portable terminals can range from 50m to 1km through different connection methods. Devices in the coverage area can be accessed through wired or wireless means. The terminal transmits the received data back to the gateway station in other places via satellite, and then sends the data to the disaster command center through the gateway station. After the command center issues a command, it still goes to the satellite through the gateway station. The terminal in the disaster area receives the satellite command and transmits the data to the access device on site.

[0003] Although the current network access solution at the disaster site can provide network access at the disaster site in the face of three-outage situations, it has the following disadvantages:

[0004] (1) The coverage of the terminal is small and cannot cover the disaster site on a large scale;

[0005] (2) The power consumption of terminal equipment is high and cannot support long-term standby;

[0006] (3) It takes a long time to network the terminal equipment, which cannot meet the requirements of rapid deployment in emergency communication scenarios;

[0007] (4) The terminal equipment only has the ability to send and receive data, but not the ability to process data, which makes it inefficient in places where data processing is required. Summary of the invention

[0008] In order to solve at least one of the above technical problems, the present invention proposes a ground networking architecture for three-break emergency communication scenarios and disaster sites with three breaks. By constructing a new networking scheme, the ground networking architecture is divided into backbone nodes and edge nodes for networking. In view of the three breaks (power failure, circuit failure, and signal failure) when a disaster occurs, a networking method that can be quickly deployed at the disaster site enables the disaster site to communicate with the outside world; and the networking method can provide a larger coverage range, and the communication capability can be extended by multiple hops, which is convenient for deployment at various locations in the disaster scene, and can also be networked in a mobile situation, which can be used for individual soldiers to carry equipment; third, in terms of power consumption, low-power devices are used to extend the standby time of each node; fourth, each node has edge computing power, and makes decisions on calculations based on data conditions. Finally, a set of networking methods that can be quickly deployed and contacted with the command center in the case of power failure, circuit failure, and short messages is formed.

[0009] To achieve the above object, the present invention adopts the following technical solution:

[0010] The purpose of the present invention is to provide a ground networking architecture for three-break emergency communication scenarios, which achieves corresponding goals through rapid network deployment, including: an intelligent terminal backbone node and multiple edge nodes wirelessly connected to the intelligent terminal backbone node; wherein the intelligent terminal backbone node serves as a receiving terminal and a sending terminal for communication satellites to obtain data on the ground, and also serves as a data entry point for all the multiple edge nodes; the intelligent terminal backbone node has a data processing module and a data calculation module. When receiving data and decision data that cannot be calculated from the multiple edge nodes, the intelligent terminal backbone node is used to implement data decisions and calculations, and at the same time sends instruction signals to the satellite, which are forwarded by the satellite to the gateway station and then transmitted to the command center; the edge node uses a self-programmable open source operating system to support node networking and deployment management.

[0011] Preferably, a low-power wireless transmission system is embedded in the edge node based on a self-programmable open source operating system, so that each edge node can quickly form a network and perform multi-hop extension through the low-power wireless transmission system.

[0012] Preferably, the edge nodes include fixed nodes and mobile nodes, the fixed nodes are used to provide data coverage around the deployment location, and perform the multi-hop extension through the low-power wireless transmission system; the mobile nodes are adapted for front-line search and rescue personnel, and the edge nodes establish links with the nearest fixed nodes through the self-programmable open source operating system, thereby achieving dynamic extension of the coverage range.

[0013] Preferably, the edge node has basic computing power, and simple calculation data and decision data are directly calculated on the edge node side. If data requiring stronger computing power is encountered, the data is transmitted back to the backbone node, and the backbone node receives the result and makes a corresponding response after further decision-making.

[0014] Preferably, the edge nodes construct different types of network topologies based on wireless communication and wireless interconnection technology and intelligent intelligence, and provide cloud-network-edge intelligent collaboration through satellite networks.

[0015] Preferably, the different types of network topologies include mesh, star and hybrid network topologies with single hop / multi-hop of different nodes.

[0016] Preferably, the edge node data will be aggregated to the intelligent terminal backbone node, and the intelligent terminal backbone node has an AI intelligent module, and the AI ​​intelligent module is used to load and run the AI ​​intelligent algorithm, and the AI ​​intelligent algorithm is used for intelligent processing and identification of the edge node data after aggregation.

[0017] Preferably, the edge node runs on a self-programmable intelligent operating system hardware platform and runs edge node core supporting software, and the edge node core supporting software is used for data collection, data distribution and instruction issuance / execution functions of the application terminal.

[0018] Preferably, the edge node is composed of an edge integrated terminal, a camera or a temperature sensor or a serial port fan; the camera is used to verify the video stream return of the edge node; the temperature sensor is used to verify the small data packet and small bandwidth return of the Internet of Things; the serial port fan is used to verify the distribution and execution of action instructions.

[0019] Preferably, the edge integrated terminal includes a self-programmable intelligent operating system hardware platform, a wireless transmission module, an external GPS antenna and a power module, wherein the external GPS antenna is used for returning positioning information of the edge node.

[0020] Compared with the prior art, the ground networking architecture provided by the present invention has the following beneficial effects:

[0021] In the three-break scenario after the disaster, a networking solution can be established through a self-programmable open source operating system for rapid on-site deployment. Operators only need to establish a link connection between the backbone node and the satellite, and then deploy the edge nodes to the disaster site in sequence. Multiple fixed edge nodes can be deployed for places with high access demand, and mobile edge nodes can be equipped for soldiers who need to perform search and rescue missions. All nodes can be networked in a way defined by the operating system. Each node has a certain computing power, which reduces the pressure on the backbone node, saves time for forwarding data on the satellite, and improves efficiency. One-stop management can also be performed on the backbone node. In this way, the on-satellite forwarding connection between the command center and the disaster site, the fixed multi-hop extension connection between the backbone node and the fixed edge node at the disaster site, and the mobile switchable connection between the search and rescue soldiers and the edge node are realized, and finally a complete set of ground networking is formed.

[0022] (1) Backbone nodes with strong computing power and edge nodes with basic computing power to perform data calculation and decision-making;

[0023] (2) Both backbone nodes and edge nodes use self-programmable open source operating systems, which can quickly deploy the network;

[0024] (3) Backbone nodes and edge nodes can use open source operating systems to deploy low-power wireless transmission solutions;

[0025] (4) Mobile nodes and fixed nodes in edge nodes can establish fast switching links. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A ground networking deployment solution based on existing technologies;

[0027] Figure 2 A ground networking architecture solution for three-break emergency communication scenarios according to a preferred embodiment of the present invention;

[0028] Figure 3 A schematic diagram of the structure of an edge node according to a preferred embodiment of the present invention;

[0029] Figure 4 It is a block diagram of the edge node integrated machine according to a preferred embodiment of the present invention;

[0030] Figure 5 This is a block diagram of the edge node software architecture according to a preferred embodiment of the present invention;

[0031] Figure 6 A schematic diagram of the forward control data flow from the cloud end according to the networking topology of the intelligent remote control function verification solution according to the preferred embodiment of the present invention;

[0032] Figure 7A schematic diagram of a return data flow from an edge terminal through an intelligent backbone communication node back to the cloud for verifying a networking topology according to an intelligent data collection function verification solution of a preferred embodiment of the present invention;

[0033] Figure 8 This is a schematic diagram of the data flow demonstration for verifying the networking topology function based on the cloud-based AI triggered collection function solution according to the preferred embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. It is obvious that the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention.

[0035] The present embodiment provides a ground networking architecture for three-break emergency communication scenarios, which achieves corresponding goals through rapid network deployment, including: an intelligent terminal backbone node and multiple edge nodes wirelessly connected to the intelligent terminal backbone node; wherein the intelligent terminal backbone node serves as a receiving terminal and a sending terminal for obtaining data on the ground by a communication satellite, and also serves as a data entry point for all the multiple edge nodes; the intelligent terminal backbone node has a data processing module and a data calculation module. When receiving data and decision data that cannot be calculated from the multiple edge nodes, the intelligent terminal backbone node is used to implement data decisions and calculations, and at the same time sends instruction signals to the satellite, which are forwarded by the satellite to the gateway station and then transmitted to the command center; the edge node uses a self-programmable open source operating system to support node networking and deployment management.

[0036] As a preferred embodiment, the edge node has a low-power wireless transmission system, and the wireless transmission system is embedded in it based on a self-programmable open source operating system, so that each edge node can be quickly networked and realize multi-hop extension of communication data.

[0037] As a preferred implementation, the edge nodes include fixed nodes and mobile nodes. The fixed nodes are used to provide data coverage around the deployment location and perform multi-hop extension through the wireless transmission mechanism. The mobile nodes are adapted for frontline search and rescue soldiers, and can establish links with the nearest fixed nodes through the support of the operating system to achieve dynamic extension of coverage.

[0038] As a preferred implementation, the edge node has basic computing power. Simple calculation data and decision data can be directly calculated on the edge node side. If data requiring stronger computing power is encountered, the data will be transmitted back to the backbone node. The backbone node will make further decisions and then receive the results and make corresponding responses.

[0039] 1. Indicator Requirements Analysis of Application Implementation

[0040] 1. System capability indicator requirements analysis

[0041] (1) Support the access and management of no less than three edge nodes;

[0042] Demand analysis: Through the high-throughput satellite network, the backbone nodes have the ability to interconnect with multiple edge nodes, and the cloud control center can manage the edge nodes, including data retrieval, action command issuance and execution, node status viewing and other functions.

[0043] (2) The network topology between backbone nodes and edge nodes, and between edge nodes supports dynamic construction, intelligent routing, single-hop / multi-hop networking, and high-bandwidth transmission (10Mbps);

[0044] Demand analysis: Utilize wireless communication and wireless interconnection technology and intelligent routing to realize the construction of different types of network topologies such as mesh, star, and hybrid with single hop / multi-hop of different nodes, and provide cloud-network-edge intelligent collaboration capabilities through satellite networks.

[0045] (3) Data from edge nodes are aggregated to backbone nodes. Backbone nodes must be able to load and run AI intelligent algorithms to support intelligent processing and recognition of edge data after aggregation;

[0046] Demand analysis: The backbone node plays a core role in connecting the entire system. After the edge node data is gathered at the backbone node, the data is gathered, identified, and processed through its AI intelligent processing function, and the data is transmitted back to the cloud center through the satellite network.

[0047] 2. Technical Solution

[0048] like Figure 3As shown, the edge node runs based on a self-programmable intelligent operating system hardware platform and runs the edge node core supporting software to realize data collection, data distribution, instruction issuance / execution and other functions of the application terminal. Based on the requirements of the preferred embodiment of the present invention, the edge node is composed of an edge integrated terminal, a camera or a temperature sensor or a serial port fan; the camera mainly verifies the video stream return of the edge node; the temperature sensor verifies the small data packet and small bandwidth return of the Internet of Things; the serial port fan is to verify the distribution and execution of action instructions; at the same time, the edge integrated terminal integrates a self-programmable intelligent operating system hardware platform, a wireless transmission module, and supports an external GPS antenna for the return of positioning information of the edge node.

[0049] 1. Edge integrated terminal (edge ​​node all-in-one machine) design

[0050] like Figure 4 As shown in the figure, the edge node all-in-one consists of a self-programmable intelligent operating system hardware platform, a wireless access unit, a GPS module, a power module, and provides an interface for external application-end devices; the edge node all-in-one design combines the needs of modern edge computing, and uses the advantages of a self-programmable intelligent operating system hardware platform and a wireless access unit to build a powerful data processing and communication platform. This solution not only improves the reliability and flexibility of the equipment, but also provides a foundation for the intelligence of different application scenarios. Including:

[0051] (1) Self-programmable intelligent operating system hardware platform: A high-performance multi-core processor (based on SocRK3588) that supports edge computing needs. It is equipped with 8Gb of RAM and provides USB, Ethernet, HDMI, etc. to facilitate the connection of external devices;

[0052] (2) Wireless access unit: Wireless communication technology has excellent technical characteristics such as low latency, high reliability, high synchronization accuracy, support for multiple concurrency, high information security and low power consumption. The wireless access unit supports intelligent routing addressing functions with backbone nodes or other edge nodes to ensure that each node network can be interconnected;

[0053] (3) GPS module: provides high-precision location services to meet the needs of mobile applications and is connected to the hardware through UART;

[0054] (4) Power module: supports wide voltage input to ensure stable power supply.

[0055] 2. Self-programmable intelligent operating system hardware platform

[0056] (1) Features:

[0057] Equipped with RK3588 high-performance SOC, integrating quad-core Cortex-A76 and quad-core Cortex-A55 CPU, with a main frequency of up to 2.4G;

[0058] 6TOPS AI computing power, triple-core architecture, support int4 / int8 / int16 / FP16 / BF16 / TF32;

[0059] Support H.265 / H.264 / AV1 / VP9 / AVS2 video decoding, up to 8K60FPS;

[0060] Support H.264 / H.265 video encoding, up to 8K30FPS;

[0061] Support HDMI2.1 output, up to 8K@60Hz;

[0062] Support HDMI2.0 input; up to 4K60FPS;

[0063] Support multiple camera input;

[0064] Dual-channel LVDS, supporting up to 1080P@60Hz large screen;

[0065] Multiple screens with different displays;

[0066] Two independent Gigabit Ethernet ports, supporting WAN port + LAN port dual IP;

[0067] 5G / 4G / WI FI / Bluetooth wireless communication;

[0068] Onboard 4 USB3.0, 2 full-function Type-C;

[0069] Rich system support, full support for Android12, Ubuntu, and OpenHamoney.

[0070] (2) Technical specifications

[0071] The hardware platform specifications, basic parameters, hardware parameters and working environment are shown in Table 1, Table 2 and Table 3 respectively.

[0072] Table 1: Basic parameters

[0073]

[0074] Table 2: Hardware parameters

[0075]

[0076]

[0077] Table 3: Working environment

[0078]

[0079] (3) Edge node software design

[0080] The hardware development platform runs a self-programmable intelligent operating system and is equipped with edge node core software. It supports data collection, action command distribution, edge computing, and routing addressing functions for multi-node networking with application devices, and provides a human management interface for device management and control.

[0081] The edge node software architecture diagram is as follows: Figure 5 As shown, including:

[0082] 1) Human-computer interface: provides access or operation interface for users to manage and control;

[0083] 2) Access management: Provides access backbone functions for edge nodes. When the cloud sends access policies to backbone nodes, backbone nodes can make intelligent decisions on whether to allow edge nodes to access securely based on comprehensive information such as wireless resource occupancy, link channel status, and access identifiers of edge nodes.

[0084] 3) Routing addressing: Provides routing for edge node forwarding and routing addressing for edge node data return. Routing addressing solves the interconnection problem between wireless communication modules and satellite network links, and provides a two-way reliable data link;

[0085] 4) Management and control: Provide the ability for cloud or backbone nodes to manage edge nodes, and support functions such as parameter policy configuration, status viewing, and link quality monitoring of edge nodes;

[0086] 5) Security control: Security control is mainly carried out from two planes, namely management plane security and business plane data security. Through intelligent encryption algorithms, end-to-end data encryption is achieved to ensure the security and reliability of the data transmission channel.

[0087] 6) Modem protocol interaction: Through the OPENMIP protocol, functions such as modem status query, parameter configuration, and geographic location delivery are realized to meet the needs of integrated converged communications;

[0088] 7) Data collection: Provide application data collection capabilities, support camera data, audio data, sensor data collection, etc.; and provide data forwarding to backbone nodes;

[0089] 8) Edge computing: When the edge node is connected to multiple application devices, it supports processing and calculation of different data after collection, and drives the back-end application devices to execute relevant instructions according to preset strategies;

[0090] 9) AI computing: AI computing refers to the use of NPU and various mathematical methods to analyze, process and reason data through algorithms and models. It supports technologies based on machine learning (ML), deep learning (DL), statistics, etc., and is used to analyze large amounts of data, extract patterns, make predictions or optimize decisions. Its key processes are data analysis and mining - predictive modeling - optimization problem solving - automated decision support;

[0091] 10) AI recognition: AI recognition refers to the process of using artificial intelligence technology to extract features and recognize patterns in data (such as images, audio, text, etc.). The goal of AI recognition is to identify specific objects, scenes, and events from the data collected by edge nodes.

[0092] 2. Functional Verification Solution

[0093] The product verification solution mainly verifies intelligent remote control, intelligent data collection, and cloud-based AI trigger collection functions

[0094] 1. Intelligent remote control function verification solution

[0095] The main purpose of remote control is to control the data flow from the cloud. Figure 6 Shown by the dashed line.

[0096] Using a smartphone or other remote device connected to a private cloud or the Internet, the fan controlled by edge node 2 can be started and stopped by using customized software. Under different edge terminal connection topologies, the intelligent backbone terminal node can perform autonomous intelligent updates of the subnet network topology and accurately route control information to the target edge terminal node, where edge node 1 forwards data from edge node 2;

[0097] Pass criteria: The cloud sends fan execution or stop instructions, and the serial port fan can execute correctly.

[0098] 2. Intelligent data collection function verification solution

[0099] The main purpose of intelligent data collection is to collect the return data flow from the edge terminal through the intelligent backbone communication node back to the cloud. Figure 7 Shown by the dashed line.

[0100] In this scenario, a smart phone or other Internet remote device can be used to obtain the location information of the smart satellite terminal and the GPS modules of each functional end node through settings, and can smoothly transmit the camera data in the functional edge node 2;

[0101] Pass criteria: Real-time video data of edge node 2 can be played smoothly in the cloud

[0102] 3. Cloud-based AI-triggered acquisition function solution

[0103] The main purpose of the cloud-based AI trigger collection linkage function is to verify the cloud deployment capability of the end system software. After the deployment is completed, the end system can complete the functional linkage through information interaction and resource scheduling, providing users with integrated communication, perception, and execution functions. The data flow in this demonstration is as follows: Figure 8 Shown

[0104] By utilizing the AI ​​processing capability of the edge terminal, the temperature sensor data of the camera in the functional edge node 2 is collected, and the serial port fan of the edge node 2 is automatically started when the edge node 2 is triggered, and the serial port fan of the node 2 is automatically stopped after the triggering ends, thereby achieving integration at the communication, AI perception and execution levels.

[0105] Pass criteria: According to the AI ​​preset temperature strategy, the serial port fan is automatically started and stopped successfully.

[0106] The above is a specific implementation of the embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of this application.

Claims

1. A ground networking architecture for three-break emergency communication scenarios, characterized in that: The ground networking architecture achieves the corresponding goals through rapid network deployment, including: an intelligent terminal backbone node and multiple edge nodes wirelessly connected to the intelligent terminal backbone node; wherein the intelligent terminal backbone node serves as a receiving terminal and a sending terminal for the communication satellite to obtain data on the ground, and also serves as a data entry point for all the multiple edge nodes; the intelligent terminal backbone node is equipped with a data processing module and a data calculation module. When receiving data and decision data that cannot be calculated from the multiple edge nodes, the intelligent terminal backbone node is used to implement data decisions and calculations, and at the same time sends instruction signals to the satellite, which are forwarded by the satellite to the gateway station and then transmitted to the command center; the edge node uses a self-programmable open source operating system to support node networking and deployment management.

2. According to claim 1, a ground networking architecture for three-break emergency communication scenarios is characterized in that: Based on a self-programmable open source operating system, a low-power wireless transmission system is embedded in the edge node, so that each edge node can quickly form a network and perform multi-hop extension through the low-power wireless transmission system.

3. According to claim 2, a ground networking architecture for three-break emergency communication scenarios is characterized in that: The edge nodes include fixed nodes and mobile nodes. The fixed nodes are used to provide data coverage around the deployment site and perform the multi-hop extension through the low-power wireless transmission system; the mobile nodes are adapted for front-line search and rescue personnel, and the edge nodes establish links with the nearest fixed nodes through the self-programmable open source operating system to achieve dynamic extension of coverage.

4. A ground networking architecture for three-break emergency communication scenarios according to claim 3, characterized in that: The edge node has basic computing power, and simple calculation data and decision data are directly calculated on the edge node side. If data requiring stronger computing power is encountered, the data is transmitted back to the backbone node, which makes further decisions and receives the results and makes corresponding responses.

5. According to claim 4, a ground networking architecture for three-break emergency communication scenarios is characterized in that: The edge nodes construct different types of network topologies based on wireless communication and wireless interconnection technology and intelligent intelligence, and provide cloud-network-edge intelligent collaboration through satellite networks.

6. A ground networking architecture for three-break emergency communication scenarios according to claim 5, characterized in that: The different types of network topologies include mesh, star and mixed network topologies with single hop / multi-hop nodes.

7. A ground networking architecture for three-break emergency communication scenarios according to claim 6, characterized in that: The edge node data will be aggregated to the intelligent terminal backbone node, and the intelligent terminal backbone node has an AI intelligent module, and the AI ​​intelligent module is used to load and run the AI ​​intelligent algorithm, and the AI ​​intelligent algorithm is used for intelligent processing and identification after the edge node data is aggregated.

8. A ground networking architecture for three-break emergency communication scenarios according to claim 7, characterized in that: The edge node runs on a self-programmable intelligent operating system hardware platform and runs edge node core supporting software, which is used for data collection, data distribution and instruction issuing / execution functions of application terminals.

9. A ground networking architecture for three-break emergency communication scenarios according to claim 8, characterized in that: The edge node is composed of an edge integrated terminal, a camera or a temperature sensor or a serial port fan; the camera is used to verify the video stream return of the edge node; the temperature sensor is used to verify the small data packet and small bandwidth return of the Internet of Things; the serial port fan is used to verify the distribution and execution of action instructions.

10. A ground networking architecture for three-break emergency communication scenarios according to claim 9, characterized in that: The edge integrated terminal includes a self-programmable intelligent operating system hardware platform, a wireless transmission module, an external GPS antenna and a power module, wherein the external GPS antenna is used for returning positioning information of edge nodes.

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