A ground networking architecture for three-break emergency communication scenarios
By constructing an intelligent ground network architecture of terminal backbone nodes and edge nodes at disaster sites, and utilizing a self-programmable open-source operating system and low-power wireless transmission, the network access problem at disaster sites was solved, enabling rapid deployment, wide-area coverage, and efficient data processing, thus meeting the needs of emergency communication in the event of three disruptions.
Patent Information
- Application Number
- CN202411800350.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2026-01-16
- Estimated Expiration
- 2044-12-09
AI Technical Summary
Existing network access solutions at disaster sites suffer from problems such as limited coverage, high power consumption, long network setup time, and lack of data processing capabilities, failing to meet the needs for rapid deployment and efficient data processing in emergency communication scenarios involving three disruptions.
It adopts a terrestrial networking architecture, including intelligent terminal backbone nodes and multiple edge nodes. It uses a self-programmable open-source operating system for rapid networking. Edge nodes have basic computing power and low-power wireless transmission, while backbone nodes perform data decision-making and computation, forming a multi-hop extended communication network.
It enables rapid deployment and wide-area coverage in three-disruption scenarios, reduces power consumption, improves data processing capabilities, supports multi-hop extension and dynamic coverage, and enhances communication capabilities at disaster sites.
Smart Images

Figure CN119967637B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the fields of satellite communication terminals and terrestrial networking technology, and in particular to a terrestrial networking architecture for emergency communication scenarios involving three disruptions. Background Technology
[0002] like Figure 1 As shown, portable terminals are commonly used in disaster relief emergency communication scenarios to establish satellite connections even in situations where communication is disrupted. The coverage range of these portable terminals varies from 50m to 1km depending on the connection method. Devices within the coverage area can access the network via wired or wireless connections. The terminal transmits received data back to a gateway station in another location via satellite, and then the gateway station sends the data to the disaster command center. After the command center issues instructions, the data is again transmitted to the satellite via the gateway station. Terminals in the disaster area receive satellite instructions and transmit the data to the access devices on-site.
[0003] While current network access solutions at disaster sites can provide network access in the face of three outages (disconnection, interruption, and loss of network access), they have the following drawbacks:
[0004] (1) The terminal has a small coverage area and cannot cover a large area of the disaster site;
[0005] (2) The terminal device has high power consumption and cannot support long-term standby.
[0006] (3) If the terminal devices are networked, it takes a long time and cannot meet the rapid deployment in emergency communication scenarios;
[0007] (4) Terminal devices only have the ability to send and receive data, but not the ability to process data, which makes them inefficient in places where data processing is required. Summary of the Invention
[0008] In order to solve the above at least one technical problem, the application proposes a ground networking architecture for a three-break emergency communication scene and a disaster scene, a new networking scheme is constructed, the ground networking architecture is divided into backbone nodes and edge nodes for networking, in the case of three-break (power failure, circuit break, signal break) in the event of disaster, the networking mode can be quickly deployed in the disaster scene to communicate with the outside world; and the networking mode can provide a larger coverage range, the communication capacity can be extended by multiple hops, which is convenient for deployment in various positions of the disaster scene, and networking can be carried out in the moving condition, which can be used for individual equipment; third, low-power devices are used in terms of power consumption, which prolongs the standby time of each node; fourth, each node has edge computing power, which makes decisions on computing through data conditions. Finally, a networking mode is formed, which can be quickly deployed and contacted with the command center in the case of power failure, circuit break and short information.
[0009] In order to achieve the above purpose, the application adopts the following technical scheme:
[0010] The application aims to provide a ground networking architecture for a three-break emergency communication scene, which realizes the corresponding target through rapid network deployment, comprising: 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 serves as a receiving terminal and a sending terminal for data acquisition on the ground of a communication satellite, and simultaneously serves as a data import point of all the plurality of edge nodes; the intelligent terminal backbone node is provided with a data processing module and a data computing module, when receiving data and decision data that cannot be calculated from the plurality of edge nodes, the intelligent terminal backbone node is used to implement data decision and calculation, and simultaneously sends instruction signals to a satellite, which are forwarded to a gateway station and then transmitted to a command center after the satellite; 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 body is embedded in the edge node based on the self-programmable open source operating system, so that each edge node can be quickly networked and extended by multiple hops through the low-power wireless transmission body.
[0012] Preferably, the edge node comprises a fixed node and a mobile node, the fixed node is used to cover data around the deployment site, and the low-power wireless transmission body is used for multiple-hop extension; the mobile node is adapted to front-line search and rescue personnel, and the edge node establishes a link with the nearest fixed node through the self-programmable open source operating system to realize 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 at the edge node side, and if data requiring stronger computing power is encountered, the data is transmitted back to the backbone node, the backbone node makes further decisions, receives the results and makes corresponding responses.
[0014] Preferably, the edge node is based on wireless communication wireless interconnection technology and intelligent architecture to build different types of network topology, and provides cloud-network-edge intelligent collaboration through satellite network.
[0015] Preferably, the different types of network topology include mesh, star and hybrid network topologies of different node single-hop / multi-hop.
[0016] Preferably, the edge node data is converged to the intelligent terminal backbone node, the intelligent terminal backbone node has an AI intelligent module, the AI intelligent module is used to load and run an AI intelligent algorithm, and the AI intelligent algorithm is used for intelligent processing and identification after the edge node data is converged.
[0017] Preferably, the edge node is based 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 acquisition, data distribution and instruction issuing / execution functions of the application terminal.
[0018] Preferably, the edge node is composed of an edge integrated terminal, a camera, 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; and 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 the positioning information return of the edge node.
[0020] Compared with the prior art, the ground networking architecture provided by the application has the following beneficial effects:
[0021] The networking scheme can be established by the self-programmable open source operating system in the three broken scenarios after the disaster occurs, and the on-site rapid deployment is performed. The operation personnel only need to connect the backbone node with the satellite, and then deploy the edge node to the disaster site in sequence. Multiple fixed edge nodes can be deployed in places with high access demand, and mobile edge nodes can be equipped for the soldiers who need to perform search and rescue tasks. All nodes can be networked through the way defined by the operating system, and each node has a certain computing power, so that the pressure of the backbone node is reduced, the time for forwarding data on the satellite is saved, and the efficiency is improved. The one-stop management can be performed on the backbone node. The 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 in the disaster site, and the mobile switchable connection between the search and rescue soldiers and the edge node are finally formed, and a complete set of ground networking is formed.
[0022] (1) The backbone node with strong computing power and the edge node with basic computing power are used for data calculation and decision-making;
[0023] (2) The backbone node and the edge node both adopt the self-programmable open source operating system, and the networking can be rapidly deployed;
[0024] (3) The backbone node and the edge node can use the open source operating system to deploy a low-power wireless transmission scheme;
[0025] (4) The mobile node and the fixed node in the edge node can establish a quick switching link. BRIEF DESCRIPTION OF DRAWINGS
[0026] Figure 1 The ground networking deployment scheme according to the prior art;
[0027] Figure 2 The ground networking architecture scheme for the three broken emergency communication scenarios according to the preferred embodiment of the application;
[0028] Figure 3 The edge node composition structure diagram according to the preferred embodiment of the application;
[0029] Figure 4 The edge node all-in-one machine composition block diagram according to the preferred embodiment of the application;
[0030] Figure 5 The edge node software architecture block diagram according to the preferred embodiment of the application;
[0031] Figure 6 The intelligent remote control function verification scheme networking topology forward control data flow diagram from the cloud according to the preferred embodiment of the application;
[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 scheme of a preferred embodiment of the present application;
[0033] Figure 8 A schematic diagram of a data flow for demonstrating a networking topology function according to a cloud-based AI triggered collection function scheme verification of a preferred embodiment of the present application. DETAILED DESCRIPTION
[0034] In order for those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application.
[0035] The present embodiment provides a ground networking architecture for a three-break emergency communication scenario, which realizes a corresponding target through fast network deployment, including: an intelligent terminal backbone node and a plurality of 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 acquiring data on the ground by a communication satellite, and simultaneously serves as a data sink point for all the plurality of edge nodes; the intelligent terminal backbone node is provided with a data processing module and a data calculation module, when receiving data and decision data that cannot be calculated from the plurality of edge nodes, the intelligent terminal backbone node is used to implement data decision and calculation, and simultaneously sends instruction signals to a satellite, which are forwarded to a gateway station and then transmitted to a command center after the satellite.
[0036] As a preferred embodiment, the edge node has a low-power wireless transmission quality, and the wireless transmission quality is embedded in the open-source operating system based on self-programmability, so that each edge node can quickly network and realize multi-hop extension of communication data.
[0037] As a preferred embodiment, the edge node includes fixed nodes and mobile nodes, the fixed nodes are used to cover data around the deployment site and extend through the wireless transmission quality. The mobile nodes are adapted to front-line search and rescue soldiers, and can establish a link with the nearest fixed node through the support of the operating system to realize dynamic extension of the coverage range.
[0038] As a preferred embodiment, the edge node has basic computing power, and 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 is transmitted back to the backbone node, the backbone node makes further decisions, receives the results and makes corresponding responses.
[0039] I. Index requirement analysis of application embodiment
[0040] 1. System capability index requirement analysis
[0041] (1) Support access and management of no less than 3 edge nodes;
[0042] Requirement analysis: Through the high-throughput satellite network, the backbone node has the interconnection capability with multiple edge nodes, and the cloud control center can manage the edge nodes, including data retrieval, action instruction issuance and execution, node state viewing and other functions.
[0043] (2) The network topology between the backbone node and the edge node, and between the edge nodes supports dynamic construction, intelligent routing, single-hop / multi-hop networking, large bandwidth transmission (10 Mbps) and other capabilities;
[0044] Requirement analysis: Using wireless communication wireless interconnection technology and intelligent intelligence, different node single-hop / multi-hop mesh, star, hybrid and other different types of network topology construction are realized, and cloud-network-edge intelligent collaboration capability is provided through the satellite network.
[0045] (3) The edge node data converges to the backbone node, and the backbone node needs to have the ability to load and run AI intelligent algorithms, supporting intelligent processing and identification of edge-side data convergence;
[0046] Requirement analysis: The backbone node plays a core role in the whole system. After the edge node data converges to the backbone node, the AI intelligent processing function of the backbone node is used to aggregate, identify and process the data, and the data is transmitted back to the cloud center through the satellite network.
[0047] II. Technical solution
[0048] For example, Figure 3As shown, the edge node operates on a self-programmable intelligent operating system hardware platform and runs core supporting software to realize functions such as data acquisition, data distribution, and command issuance / execution from the application terminal. Based on the requirements of the preferred embodiment of the present invention, the edge node consists of an integrated edge terminal, a camera, a temperature sensor, or a serial fan. The camera mainly verifies the video stream transmission of the edge node; the temperature sensor verifies the transmission of small data packets and low bandwidth of IoT; the serial fan verifies the distribution and execution of action commands. At the same time, the integrated edge terminal integrates a self-programmable intelligent operating system hardware platform, a wireless transmission module, and supports external GPS antennas for the transmission 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, the edge node all-in-one machine consists of a self-programmable intelligent operating system hardware platform, a wireless access unit, a GPS module, and a power module, and provides interfaces for connecting external application devices. This edge node all-in-one machine design combines the needs of modern edge computing, leveraging the advantages of the self-programmable intelligent operating system hardware platform and the wireless access unit to build a powerful data processing and communication platform. This solution not only improves the reliability and flexibility of the device but also provides a foundation for the intelligentization of different application scenarios. It includes:
[0051] (1) A self-programmable intelligent operating system hardware platform: a high-performance multi-core processor (based on SoC RK3588) supporting edge computing needs. It features 8Gb of RAM and provides connectivity for external devices, including USB, Ethernet, and HDMI.
[0052] (2) Wireless Access Unit: Wireless communication technology possesses superior technical characteristics such as low latency, high reliability, high synchronization accuracy, support for multiple concurrent connections, high information security, and low power consumption. The wireless access unit supports intelligent routing and addressing functions with backbone nodes or other edge nodes, ensuring that the networks of each node can interconnect;
[0053] (3) GPS module: provides high-precision location services to meet the needs of mobile applications and connects to hardware via UART;
[0054] (4) Power module: Supports wide voltage input to ensure stable power supply.
[0055] 2. A self-programmable intelligent operating system hardware platform
[0056] (1) Characteristics:
[0057] RK3588 high-performance SOC is installed, which integrates quad-core Cortex-A76 and quad-core Cortex-A55 CPU, with a clock speed of up to 2.4G;
[0058] 6TOPS AI computing power, three-core architecture, supporting 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 multi-camera input;
[0064] Dual-channel LVDS, support up to 1080P@60Hz large screen;
[0065] Multi-screen display;
[0066] Two independent gigabit Ethernet ports, support WAN port + LAN port dual IP;
[0067] 5G / 4G / WI FI / Bluetooth wireless communication;
[0068] Onboard 4-way USB3.0, 2-way full-featured Type-C;
[0069] Rich system support, Android12, Ubuntu, OpenHamoney comprehensive support.
[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 matched with edge node core software, supports data acquisition, action instruction distribution, edge computing, routing and addressing functions when multiple nodes are networked, and provides a human interface for device management and control.
[0081] The edge node software architecture block diagram is shown in Figure 5 , which includes:
[0082] 1) Human-machine interface: provides an access or operation interface for users to manage and control;
[0083] 2) Access management: provides the access backbone function of the edge node. After the cloud issues an access strategy to the backbone node, the backbone node can intelligently decide whether to allow the edge node to safely access according to comprehensive information such as wireless resource occupation, link channel state, and edge node access identifier;
[0084] 3) Routing and addressing: routing of edge node forwarding and routing and addressing function of edge node data backhaul. Routing and addressing solves the interconnection problem of wireless communication wireless module and satellite network link, and provides a bidirectional reliable data link;
[0085] 4) Management and control: provides the ability of the cloud or backbone node to manage the edge node, supports parameter strategy configuration, state viewing, link quality monitoring, and other functions of the edge node;
[0086] 5) Security control: security control is mainly controlled from two planes, namely management plane security and business plane data security; through intelligent encryption algorithm, end-to-end data encryption is realized to ensure the security and reliability of the data transmission channel;
[0087] 6) Modem protocol interaction: through the OPENMIP protocol, functions such as Modem state query, parameter configuration, geographic location delivery, etc. are realized to meet the needs of integrated converged communication;
[0088] 7) Data acquisition: provides application data acquisition capability, supports camera data, audio data, sensor data acquisition, etc.; and provides data forwarding to the backbone node function;
[0089] 8) Edge computing: when the edge node connects multiple application devices, it supports processing and computing of different data acquisition, and drives the back-end application device to execute related instructions according to the preset strategy;
[0090] 9) AI computing: AI computing refers to the use of NPU and various mathematical methods to analyze, process, and infer data through algorithms and models. It supports technologies based on machine learning (ML), deep learning (DL), statistics, etc., for analyzing large amounts of data, extracting rules, making predictions, or optimizing decisions. The key processes are data analysis and mining, prediction modeling, optimization problem solving, and automated decision support;
[0091] 10) AI recognition: AI recognition refers to the process of using artificial intelligence technology to extract features and recognize patterns from data such as images, audio, and text. The goal of AI recognition is to identify specific objects, scenes, or events from data collected by edge nodes.
[0092] II. Function verification scheme
[0093] The product verification scheme mainly verifies intelligent remote control, intelligent data collection, and cloud-based AI triggered collection functions.
[0094] 1. Intelligent remote control function verification scheme
[0095] The main purpose of remote control is to forward control data flow from the cloud. The data flow direction is shown by the dashed line in Figure 6 .
[0096] Using a smartphone or other remote devices connected to the private cloud or the Internet, through the use of custom software, the start and stop control of the fan controlled by edge node 2 can be achieved. Under different edge terminal connection topology conditions, the intelligent backbone terminal node can perform autonomous intelligent update of the subnet network topology, and accurately route the control information to the target edge terminal node, where edge node 1 forwards the data of edge node 2.
[0097] Through the judgment standard: the cloud issues fan execution or stop instructions, and the serial fan can correctly execute.
[0098] 2. Intelligent data collection function verification scheme
[0099] The main purpose of intelligent data collection is to return the data flow from the edge terminal back to the cloud through the intelligent backbone communication node. The data flow direction is shown by the dashed line in Figure 7 .
[0100] In this scenario, the intelligent satellite terminal and GPS module position information of each functional edge node 2 can be obtained by setting up an intelligent mobile phone or other Internet remote devices, and the smooth return of camera data in functional edge node 2 can be achieved.
[0101] Through the judgment standard: the cloud can smoothly play the real-time video data of edge node 2
[0102] 3. Cloud-based AI-triggered data collection solution
[0103] The primary purpose of the cloud-deployed AI-triggered data collection and linkage function is to verify the cloud deployment capabilities of the end-system software. After deployment, the end-system can achieve functional linkage through information exchange and resource scheduling, providing users with integrated communication, sensing, and execution capabilities. The data flow in this demonstration is as follows: Figure 8 As shown
[0104] By leveraging the AI processing capabilities of the edge terminal, temperature sensor data from the camera in functional edge node 2 is acquired. Furthermore, the serial fan on edge node 2 is automatically activated upon triggering and automatically deactivated upon termination of the activation, thus achieving integration across communication, AI perception, and execution layers.
[0105] The judgment criteria are as follows: Based on the AI-preset temperature strategy, the serial port fan is automatically and successfully started and stopped.
[0106] The above description is a specific implementation of the embodiments of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of this application.
Claims
1. A ground networking architecture for a three-break emergency communication scenario, characterized in that, The ground networking architecture realizes corresponding targets through rapid network deployment, including 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 serves as a receiving terminal and a sending terminal of data obtained by a communication satellite on the ground, and simultaneously serves as a data in-flow point of all the plurality of edge nodes; the intelligent terminal backbone node is provided with a data processing module and a data calculation module, when receiving data and decision data that cannot be calculated from the plurality of edge nodes, the intelligent terminal backbone node is used to implement data decision and calculation, and simultaneously sends instruction signals to a satellite, which are forwarded to a gateway station and then transmitted to a command center after reaching the satellite; the edge nodes support node networking and deployment management by using a self-programmable open source operating system; wherein a low-power wireless transmission body is embedded in the edge nodes based on the self-programmable open source operating system, so that each edge node performs rapid networking and multi-hop extension through the low-power wireless transmission body; the edge nodes include fixed nodes and mobile nodes, the fixed nodes are used to perform data coverage around the deployment site, and the multi-hop extension is performed through the low-power wireless transmission body; the mobile nodes are adapted to front-line search and rescue personnel, and the edge nodes establish a link with the nearest fixed node through the self-programmable open source operating system, so as to realize dynamic extension of the coverage range; The edge nodes run based on a self-programmable intelligent operating system hardware platform, and run edge node core supporting software, which is used for data acquisition, data distribution and instruction issuing / execution functions of the application terminal. The edge nodes are composed of edge integrated terminals, cameras, temperature sensors or serial fans; the cameras are used to verify video stream feedback of the edge nodes; the temperature sensors are used to verify small data packet and small bandwidth feedback of the Internet of Things; the serial fans are used to verify distribution and execution of action instructions; the edge integrated terminals include 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 positioning information feedback of the edge nodes.
2. The ground networking architecture for three-break emergency communication scenarios according to claim 1, wherein, The edge nodes have basic computing power, simple calculation data and decision data are directly calculated at the edge node side, if data requiring stronger computing power is encountered, the data is fed back to the backbone node, the backbone node receives the results after further decision and makes corresponding response.
3. The ground networking architecture for three-break emergency communication scenarios according to claim 2, wherein, The edge nodes construct different types of network topologies based on wireless communication and wireless interconnection technology and intelligent architecture, and provide cloud-network-edge intelligent collaboration through satellite network.
4. The ground networking architecture for three-break emergency communication scenarios according to claim 3, wherein, The different types of network topologies include network topologies of different node single / multi-hop, mesh, star and hybrid.
5. The ground networking architecture for three-break emergency communication scenarios according to claim 4, wherein, The edge node data will converge to the intelligent terminal backbone node, the intelligent terminal backbone node has an AI intelligent module, the AI intelligent module is used to load and run an AI intelligent algorithm, and the AI intelligent algorithm is used for intelligent processing and identification after the edge node data converges.
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