Standard-mounted communication network operation empirical platform

Abstract

The invention provides a standard load communication network operation empirical platform, which comprises an empirical environment module for collecting a basic data set of an empirical environment; the physical topology module is used for obtaining a physical structure and a communication switching strategy of an empirical scene; the electromagnetic reduction module simulates an electromagnetic environment; the business and energy configuration module is used for realizing business load change and energy consumption behavior simulation; the scene and working condition module is used for constructing a scene set and an empirical scene configuration set; the network operation and monitoring module is used for loading the actual scene set, driving the standard load communication network to operate and acquiring a monitoring data set; and the evaluation and optimization module is used for carrying out quantitative evaluation on the actual evidence, obtaining an evaluation index matrix and optimizing actual evidence scene configuration and network operation behaviors. The complex scene can be accurately restored, a perfect evaluation index system is provided, and real scene verification and closed-loop optimization of the standard load communication network in the complex scene are achieved.

Description

Technical Field

[0001] This invention relates to the field of navigation mark communication technology, and in particular to a demonstration platform for the operation of a mark communication network. Background Technology

[0002] The mark-carrying communication network (CCC) is a high-efficiency communication network specifically designed for complex marine or port scenarios. Its core purpose is to solve the problem of stable data interaction between maritime marks, large ships, and shore-based platforms. The CCCC operational demonstration platform is a comprehensive testing and demonstration platform that builds a complete communication system between maritime marks, ships, and shore-based systems in a real or near-real marine or port environment. This system is used to systematically and over a long period to verify the feasibility, stability, and performance advantages of the CCCC technology solution under actual working conditions.

[0003] The operational demonstration platform for the navigation mark communication network can improve the reliability and continuity of communication between maritime navigation marks and large ships, and significantly enhance energy utilization efficiency and terminal lifespan. However, existing operational demonstration platforms have the following shortcomings: 1) Insufficient scenario coverage: Demonstration platforms are often deployed in limited sea areas and relatively simple sea state environments; simulations of complex situations such as environmental changes, multipath fading, and obstruction are insufficient. 2) Evaluation indicators focus too much on connectivity, ignoring the comprehensive performance of energy consumption, service, and reliability, only focusing on whether the link is connected and whether the packet loss rate is acceptable; lacking systematic indicators, etc. 3) Existing simulations only focus on the logical network and service layer, and the electromagnetic environment generally uses a simple path loss model or fixed channel parameters, ignoring factors such as sea state, obstacles, actual base station distribution, and interference events; resulting in simulation results that differ significantly from the real maritime environment, making it difficult to directly guide engineering practice. Summary of the Invention

[0004] To overcome the shortcomings of existing technologies, the purpose of this invention is to provide a standard-load communication network operation verification platform that can accurately reproduce complex scenarios, provide a complete evaluation index system, and realize real-world scenario verification and closed-loop optimization of standard-load communication networks in complex scenarios.

[0005] To achieve the above objectives, the present invention provides the following solution: a standard-load communication network operation demonstration platform, comprising: The empirical environment module is used to collect a basic set of empirical environment data based on the target area and the target communication object; The physical topology module is used to perform spatial and temporal unification, node deployment, and configuration of logical relationships between nodes based on the aforementioned basic data set, thereby obtaining the physical structure and communication switching strategy of the empirical scenario. The electromagnetic simulation module is used to simulate the average attenuation characteristics of the wireless channel, the signal fluctuation characteristics, the impact of sea state, and network interference using the aforementioned basic data set, thereby obtaining a simulated electromagnetic environment. The service and energy configuration module is used to utilize the basic data set to configure service generation, configure terminal energy, and couple the relationship between service generation and terminal energy, thereby simulating service load changes and energy consumption behavior. The scenario and working condition module is used to construct a scenario set, and then organize the scenario set, the physical structure, the communication switching strategy, the simulated electromagnetic environment, and the simulation of business load changes and energy consumption behavior into an empirical scenario configuration set; The network operation and monitoring module is used to load the empirical scenario set to drive the operation of the standard load communication network and collect the operation monitoring data and scenario monitoring data of the standard load communication network in real time to obtain the monitoring data set. The evaluation and optimization module is used to quantitatively evaluate the operation status of the standard load communication network in different scenarios, services and time stages using the monitoring data set, obtain the evaluation index matrix, and then optimize the empirical scenario configuration and network operation behavior based on the evaluation index matrix. The empirical environment module, the physical topology module, the electromagnetic restoration module, the service and energy configuration module, the scenario and operating condition module, the network operation and monitoring module, and the evaluation and optimization module are interconnected.

[0006] Optionally, the empirical environment module includes: The target object unit is used to obtain information related to the target maritime navigation mark, the target vessel, and the target shore-based platform based on the target area, and to obtain the target communication object; The basic data unit is used to collect physical and geographic information data, environmental and sea state data, electromagnetic and communication environment data, typical business and business traffic data, and terminal and network device parameter data based on the target area and the target communication object, so as to obtain the basic data set of the empirical environment. The physical and geographic information data includes water structure data, shoreline and infrastructure data, and obstacle and obstruction data; the environmental and sea state data includes meteorological data, sea state data, and environmental change event data; the electromagnetic and communication environment data includes communication base station and communication node distribution data, channel quality measurement data, and interference and noise data; the typical service and service traffic data includes service type definition data, service generation pattern data, and historical service traffic statistics data; and the terminal and network equipment parameter data includes navigation beacon terminal parameters, shipborne terminal parameters, and shore-based node and relay equipment parameters.

[0007] Optionally, the physical topology module includes: The reference system unit is used to map geographic coordinates to unified planar coordinates or latitude and longitude coordinates based on the basic data set using a coordinate transformation model, to complete the spatial reference system one, and to interpolate or align data with time offsets to complete the time base unification and obtain a standard data set. The physical deployment unit is used to divide the nodes into maritime navigation mark terminal nodes, shipborne terminal nodes, shore-based platform nodes and relay nodes based on the target communication object, and assign a unique identifier, node type attribute and management domain information to each type of node to obtain the physical structure; The topology configuration unit is used to generate candidate connection relationships between nodes based on the physical structure, according to the spatial distance between nodes, device capabilities and expected communication methods, and then mark the candidate communication methods of each logical connection on the candidate connection relationships to obtain a communication switching strategy.

[0008] Optionally, the electromagnetic restoration module includes: The channel simulation unit is used to extract statistical characteristics from the electromagnetic and communication environment data based on different received signal strengths, and to fit corresponding path loss parameters and shadow fading distributions for each scenario in order to simulate the average attenuation characteristics of the wireless channel. The signal simulation unit is used to extract multipath fading and Rice distribution parameters based on the standard dataset, and to configure a corresponding small-scale fading model for each typical environment to simulate signal fluctuation characteristics. The sea state simulation unit is used to correlate the sea state level in the environmental and sea state data with the channel quality in the electromagnetic and communication environment data to obtain the channel degradation degree corresponding to different sea state levels, and to set corresponding channel degradation parameters for each sea state level to simulate the impact of sea state. The interference testing unit is used to configure background noise and interference event occurrence probabilities for different areas based on the historical interference records of the target communication object, and randomly inject interference events according to the interference event occurrence probabilities to test the robustness of the network in the interference environment.

[0009] Optionally, the service and energy configuration module includes: The service configuration unit is used to obtain the probability distribution of service generation interval, the range of single service data volume, the maximum allowable latency and the service priority level based on the typical service and service traffic data, obtain service generation information, and associate the service generation information with the corresponding nodes so as to automatically generate service traffic that conforms to the real rules on the time axis of the scenario configuration and complete the service generation configuration. The terminal configuration unit is used to configure the terminal energy by describing the energy consumption rate of the terminal under different loads and different working modes and the energy replenishment capability under different lighting conditions based on the terminal and network device parameter data and through an energy model. The coupling configuration unit is used to define the energy consumption level corresponding to each service behavior, so as to couple the relationship between service generation and terminal energy.

[0010] Optionally, the scenario and working condition module includes: The scenario definition unit is used to define typical scenarios and configure physical structure and communication switching strategies, electromagnetic environment, and service load changes and energy consumption behavior for each typical scenario to obtain scenario instances. The scene rule unit is used to define the scene switching timeline and switching conditions for each scene instance, obtain the scene condition script, and assign scene numbers and scene description information to obtain a scene set. The empirical configuration unit is used to organize the scenario set, the physical structure, the communication switching strategy, the simulated electromagnetic environment, and the simulation of service load changes and energy consumption behavior into an empirical scenario configuration set.

[0011] Optionally, the network operation and monitoring module includes: The network operation unit is used to load the set of empirical scenarios and drive the operation of the standard load communication network and the generation of services and the updating of energy status according to the scenario operation script and preset operation behavior; the preset operation behavior includes access method and link construction, routing selection and forwarding record, retransmission and error correction mechanism execution; The operation monitoring unit is used to collect link connectivity status data, latency and jitter data, bit error rate and packet loss rate data, as well as throughput and load data during the operation of the standard load communication network, to obtain operation monitoring data; The scenario monitoring unit is used to collect business execution and service quality monitoring data, energy and equipment status monitoring data, and environmental and scenario event monitoring data based on the empirical scenario configuration set, so as to obtain scenario monitoring data.

[0012] Optionally, the business execution and service quality monitoring data includes business completion data, end-to-end latency distribution data, and timeout and discard statistics; the energy and equipment status monitoring data includes energy status evolution data, energy-related event data, and equipment health and operating status data; and the environment and scenario event monitoring data includes environmental parameter time series data and scenario switching and operating condition event data.

[0013] Optionally, the evaluation index module includes: The data processing unit is used to divide the operation monitoring data and the scenario monitoring data into a subset of network layer and link layer operation data, a subset of service execution data, a subset of energy and equipment status data, a subset of environmental and scenario event data, and a subset of configuration and policy execution logs, and to classify the subsets according to scenario number and service type. The index calculation unit is used to calculate reliability and stability evaluation indexes, performance evaluation indexes, energy consumption and efficiency evaluation indexes, and adaptability and robustness evaluation indexes based on the partitioned subsets, and obtain the evaluation index matrix. The operation optimization unit is used to construct a mapping relationship between indicators and network parameters based on the evaluation indicator matrix, identify problems and bottlenecks in the operation of the empirical scenario based on the mapping relationship, obtain evaluation results, and then generate corresponding optimization instructions based on the evaluation results to update the empirical scenario configuration and network operation behavior.

[0014] Optionally, the reliability and stability evaluation indicators include service success rate, link availability and number of abnormal interruptions; the performance evaluation indicators include average end-to-end latency, throughput and number of concurrent connections; the energy consumption and efficiency evaluation indicators include average energy consumption per unit of effective data, energy security and energy margin; and the adaptability and robustness evaluation indicators include indicator fluctuation range and number of times and success rate of adaptive mechanism triggering.

[0015] This invention discloses the following technical effects by providing a standard-carrier communication network operation demonstration platform: 1. An end-to-end closed-loop empirical system based on real-world environments: The empirical environment module collects real-world basic data, and models and reconstructs this data based on physical topology, electromagnetic reconstruction, and service and energy configuration; the scenario and operating condition module combines the above models into runnable scenario scripts; the network operation and monitoring module drives network operation and collects monitoring data under these scenarios; the evaluation and optimization module performs quantitative analysis of the results and generates optimization strategies; thus forming a complete end-to-end closed loop, realizing a cycle from real environment → model reconstruction → scenario operation → monitoring and evaluation → strategy optimization → re-operation.

[0016] 2. Multi-dimensional and multi-level joint modeling capability: By designing physical space layer, electromagnetic physics layer, business layer, energy layer, scenario and operating condition layer, operation and monitoring layer and evaluation and optimization layer, this multi-level and multi-domain joint modeling enables the platform to comprehensively examine the performance of communication networks in complex maritime scenarios.

[0017] 3. Capable of realistically recreating special marine environments: It addresses physical factors such as water structure, shoreline, and obstacles, as well as environmental factors such as weather and sea conditions; it introduces the mapping between sea state levels and channel degradation, and injects interference based on historical interference events; it is significantly different from general terrestrial network simulation tools, and is beneficial for studying network problems with typical marine scene characteristics.

[0018] 4. Simultaneously focus on the coordinated evaluation of network performance and energy efficiency: Couple changes in service load and terminal energy consumption, and introduce "average energy consumption per unit of effective data, energy security and energy margin" into the evaluation indicators; support the optimization of energy use on the basis of ensuring service indicators, and achieve coordinated optimization of performance and energy consumption.

[0019] 5. Supports multi-scenario, multi-condition, and long-term evolution operation analysis: Scenario sets and scenario switching timelines are constructed through scenario and condition modules; the continuous evolution process of the network under different sea conditions, different service loads, and different fault / interference conditions can be simulated; providing data support for network planning, long-term operation strategies, and emergency response plan formulation.

[0020] 6. Provides actionable optimization results for strategy and parameter tuning: By constructing a mapping relationship between indicators and network parameters, problems and bottlenecks are identified; the output is not an abstract evaluation, but a specific optimization instruction that can be used to adjust topology, communication methods, routing strategies, service strategies, energy strategies, etc., which has practical engineering decision-making value.

[0021] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the system architecture provided in an embodiment of the present invention; Figure 2 A flowchart illustrating the configuration of an empirical scenario provided in an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the network operation and optimization process provided in an embodiment of the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] like Figure 1 As shown, the present invention provides a standard-load communication network operation demonstration platform, comprising: 1. For example Figure 2 As shown, the empirical environment module is used to collect a basic data set of the empirical environment based on the target area and the target communication object; the empirical environment module includes: 1.1 Target object unit It is used to obtain information related to target maritime navigation marks, target ships, and target shore-based platforms based on the target area, and to obtain the target communication object.

[0027] Information related to target maritime navigation aids: including navigation facilities such as buoys, lighthouses, and guide beacons.

[0028] Target vessel information: including large merchant ships and vessels operating in the port.

[0029] Information related to the target shore-based platform includes lighthouses, port control centers, and shore-based base stations.

[0030] 1.2 Basic Data Unit This is used to collect physical and geographic information data, environmental and sea state data, electromagnetic and communication environment data, typical service and service traffic data, and terminal and network device parameter data based on the target area and the target communication object, to obtain a basic data set of the empirical environment.

[0031] The physical and geographic information data includes: Waterway structure data: channel distribution, harbor basin outline, anchorage location and extent; actual location, number, and service area of ​​navigation marks; Shoreline and infrastructure data: shoreline shape, wharf location, loading and unloading area location; location of shore-based communication facilities, such as shore-based base stations, radar stations, and monitoring towers, including their location and height. Data on obstacles and obstructions: Location and size information of targets that may obstruct wireless signals, such as large buildings, bridges, and storage facilities.

[0032] The environmental and sea state data include: Meteorological data: historical and real-time wind direction, wind speed, temperature, air pressure, rainfall, visibility, etc.; statistical distribution of meteorological parameters for different time periods; Sea state data: wave height, wave direction, tidal changes, tidal velocity, etc.; records of extreme sea state events, such as historical data on storms, cold waves, typhoons, etc. Data on environmental change events, such as periods of frequent fog, periods of heavy rainfall, and seasonal patterns of visibility deterioration.

[0033] The electromagnetic and communication environment data includes: Data on the distribution of communication base stations and communication nodes: the geographical location, altitude, and estimated coverage of existing cellular base stations, dedicated wireless base stations, and shore-based relay stations; the transmission frequency band and power information of major maritime communication facilities such as radar and navigation stations; Channel quality measurement data: received signal strength, signal-to-noise ratio, etc. at different measurement points, altitudes, and time periods; path loss statistics, shadow fading distribution, and obstruction probability obtained based on the measurement data; Interference and noise data: electromagnetic interference generated by port loading and unloading machinery, welding equipment, high-power motors, etc.; background noise spectral density estimation results at different time periods.

[0034] The typical business and business traffic data include: Business type definition data: Maritime navigation aid business types such as: navigation light status reporting, alarm information, equipment operation logs, etc.; Ship business types such as: location information reporting, status monitoring data reporting, control command reception, etc.; Shore-based platform business types such as: monitoring command issuance, configuration update, batch data synchronization, etc. Business generation pattern data: typical generation frequency, data packet size, and maximum allowable latency for each business type; load variation characteristics of different businesses under different time periods or operating conditions; Historical business traffic statistics: total data volume, peak load, and average load for each business type within a certain time window; statistical samples of business contingency scenarios.

[0035] The terminal and network device parameter data includes: Navigation beacon terminal parameters: transmit power range, receive sensitivity, antenna height and type; power supply method, basic power consumption, communication module power consumption, etc. Shipborne terminal parameters: installation location and height, supported communication standards, antenna directivity, etc.; power supply conditions, and data processing load that can be handled; Shore-based node and relay equipment parameters: processing capacity, buffering capacity, access interface type, power supply guarantee level; supported routing, scheduling and management functions.

[0036] 2. For example Figure 2 As shown, the physical topology module is used to perform spatial and temporal unification, node deployment, and configuration of logical relationships between nodes based on the aforementioned basic dataset, thereby obtaining the physical structure and communication switching strategy for the empirical scenario; the physical topology module includes: 2.1 Reference Frame Unit Based on the aforementioned basic data set, a coordinate transformation model is used to map geographic coordinates to unified planar coordinates or latitude and longitude coordinates, thus completing the first spatial reference system. Data with time offsets are interpolated or aligned to achieve time standardization and obtain a standard data set.

[0037] 2.1 Physical Deployment Unit Based on the target communication object, the nodes are divided into maritime navigation mark terminal nodes, shipborne terminal nodes, shore-based platform nodes, and relay nodes. A unique identifier, node type attribute, and management domain information are assigned to each type of node to obtain the physical structure.

[0038] 2.3 Topology Configuration Unit Based on the physical structure, candidate connection relationships between nodes are generated according to the spatial distance between nodes, device capabilities, and expected communication methods. Then, candidate communication methods for each logical connection are marked on the candidate connection relationships to obtain a communication switching strategy.

[0039] 3. For example Figure 2 As shown, the electromagnetic simulation module is used to simulate the average attenuation characteristics of the wireless channel, the signal fluctuation characteristics, the impact of sea state, and network interference using the aforementioned basic dataset, thereby obtaining a simulated electromagnetic environment. The electromagnetic simulation module includes: 3.1 Channel Simulation Unit This is used to extract statistical characteristics from the electromagnetic and communication environment data based on different received signal strengths, and to fit corresponding path loss parameters and shadow fading distributions for each scenario in order to simulate the average attenuation characteristics of the wireless channel.

[0040] 3.2 Signal Simulation Unit Based on the standard dataset, multipath fading and Rice distribution parameters are extracted, and a corresponding small-scale fading model is configured for each typical environment to simulate signal fluctuation characteristics.

[0041] 3.3 Sea State Simulation Unit This is used to correlate the sea state level in the environmental and sea state data with the channel quality in the electromagnetic and communication environment data to obtain the channel degradation degree corresponding to different sea state levels, and to set corresponding channel degradation parameters for each sea state level to simulate the impact of sea state.

[0042] 3.4 Interference Test Unit This is used to configure background noise and the probability of interference events for different areas based on the historical interference records of the target communication object, and to randomly inject interference events according to the probability of interference events to test the robustness of the network in the interference environment.

[0043] 4. For example Figure 2 As shown, the service and energy configuration module is used to utilize the aforementioned basic data set to configure service generation, configure terminal energy, and couple the relationship between service generation and terminal energy, thereby simulating service load changes and energy consumption behavior. The service and energy configuration module includes: 4.1 Service Configuration Unit Based on the typical business and business traffic data, this is used to obtain the probability distribution of business generation intervals, the range of single business data volume, the maximum allowable latency, and the business priority level, thereby obtaining business generation information. This information is then associated with corresponding nodes to automatically generate business traffic that conforms to real-world patterns on the timeline configured for the scenario, completing the business generation configuration. Typical businesses include navigational aid alarms, navigational aid status reporting, ship position information reporting, and shore-based control command issuance.

[0044] 4.2 Terminal Configuration Unit Based on the terminal and network device parameter data, and through an energy model, the terminal's energy consumption rate under different loads and operating modes, as well as its energy replenishment capability under different lighting conditions, are described to complete the terminal energy configuration.

[0045] 4.3 Coupled Configuration Unit This is used to determine the energy consumption level corresponding to each business activity, so as to couple the relationship between business generation and terminal energy.

[0046] 5. For example Figure 2 As shown, the scenario and operating condition module is used to construct a scenario set, and then organize the scenario set, the physical structure, the communication switching strategy, the simulated electromagnetic environment, and the simulation of service load changes and energy consumption behavior into an empirical scenario configuration set; the scenario and operating condition module includes: 5.1 Scene Definition Unit This is used to define typical scenarios, and to configure physical structure and communication switching strategies, electromagnetic environment, and business load changes and energy consumption behavior for each typical scenario, thus obtaining scenario instances.

[0047] Typical scenarios are defined as follows: routine navigation scenarios under stable weather conditions; emergency support scenarios under severe sea conditions; high business load scenarios during peak port operations; and extreme electromagnetic environment scenarios where multiple interference sources coexist.

[0048] 5.2 Scene Rule Unit This is used to define the scene switching timeline and switching conditions for each scene instance, obtain the scene condition script, and assign scene numbers and scene description information to obtain a scene set.

[0049] Scenario-based scripts, for example: A stable weather scenario is used during a certain simulation period; Automatically switch to severe sea state scenario after reaching the designated time or triggering a specific event; Automatically overlay high business load configurations during peak periods.

[0050] 5.3 Empirical Configuration Unit This is used to organize the set of scenarios, the physical structure, the communication switching strategy, the simulated electromagnetic environment, and the simulation of changes in service load and energy consumption behavior into an empirical scenario configuration set.

[0051] 6. For example Figure 3 As shown, the network operation and monitoring module is used to load the empirical scenario set to drive the operation of the standard-load communication network, and to collect the operation monitoring data and scenario monitoring data of the standard-load communication network in real time to obtain a monitoring data set; the network operation and monitoring module includes: 6.1 Network Operation Unit This is used to load the set of empirical scenarios, and drive the operation of the standard-load communication network and the generation of services and updating of energy status according to the scenario operating script and preset operating behaviors; the preset operating behaviors include: Access methods and link establishment: For example, navigation beacon terminals and shipborne terminals select appropriate access methods based on channel conditions and energy status in the scenario; they establish or maintain link connections through mechanisms such as handshakes and authentication, while recording successful connection establishment, failure status, and latency.

[0052] Routing and forwarding records: Based on the network topology and routing policy, select appropriate forwarding paths for service data packets; during the forwarding process, record the forwarding time, queuing delay, transmission delay, and whether retransmission occurs for each hop.

[0053] Retransmission and error correction mechanism execution: When the link quality is poor or the interference is strong, bit errors and packet loss may occur; according to the protocol stack configuration, the automatic retransmission and error control mechanism is triggered, and information such as the number of retransmissions and the success rate of error correction is recorded.

[0054] 6.2 Operation Monitoring Unit Used for collecting data during the operation of the standard carrier communication network: Link connectivity status data: the availability or unavailability status of each link in different time periods; the number of link interruptions, the duration of the interruptions, etc. Latency and jitter data: End-to-end latency, which is the transmission time of business data from the source node to the destination node; single-hop latency, queuing latency, and processing latency; latency jitter, which is the variation in latency between adjacent packets; Bit error rate and packet loss rate data: Bit error rate statistics for different time periods and different links; packet loss rate for different service types and different routing paths.

[0055] Throughput and load data: average throughput and peak throughput of each link within a given time window; total amount of data sent and received by each node; Obtain operational monitoring data.

[0056] 6.3 Scene Monitoring Unit Based on the empirical scenario configuration set, it is used to collect business execution and service quality monitoring data, energy and equipment status monitoring data, and environmental and scenario event monitoring data to obtain scenario monitoring data.

[0057] The business execution and service quality monitoring data includes: Business completion data: For each type of business, record the total number of times, the number of successful transmissions, and the number of failures during the trial period; from this, the business completion rate and the distribution of failure reasons can be calculated; End-to-end latency distribution data: For each successfully completed service, record the total latency from the time of generation to the time of receipt of confirmation; calculate the average latency, maximum latency, and quantile latency for each service type; Timeout and Drop Statistics: For services with maximum allowable latency constraints, record the number of services dropped due to timeout; indicate the scenario conditions corresponding to these timeout services.

[0058] The energy and equipment status monitoring data includes: Energy state evolution data: Remaining energy curves for each terminal throughout the entire experiment; energy consumption and energy replenishment at each time point; Energy-related event data: Number of low battery alarms triggered; Records of operating mode switching triggered due to insufficient energy; Equipment health and operational status data: number of equipment restarts, fault alarm records, etc.

[0059] The environmental and scene event monitoring data includes: Environmental parameter time series data: time series of wind speed, wind direction, wave height, visibility, rainfall, etc. recorded during the experiment; corresponding sea state level, meteorological level, etc.

[0060] Scene switching and operational event data: Record the time of each scene switching, from which scene to which scene; if an unexpected event occurs during operation, it is also recorded.

[0061] 7. For example Figure 3 As shown, the evaluation and optimization module is used to quantitatively evaluate the operational status of the standard-load communication network under different scenarios, services, and time stages using a monitoring data set, obtaining an evaluation index matrix. Based on this matrix, the module optimizes the configuration of the empirical scenario and the network's operational behavior. The evaluation index module includes: 7.1 Data Processing Unit The system is used to divide the operation monitoring data and the scenario monitoring data into a subset of network layer and link layer operation data, a subset of service execution data, a subset of energy and equipment status data, a subset of environment and scenario event data, and a subset of configuration and policy execution logs, and to classify the subsets according to scenario number and service type.

[0062] 7.2 Indicator Calculation Unit The evaluation index matrix is ​​obtained by calculating reliability and stability evaluation indexes, performance evaluation indexes, energy consumption and efficiency evaluation indexes, and adaptability and robustness evaluation indexes based on partitioned subsets.

[0063] The reliability and stability evaluation indicators include service success rate, link availability, and number of abnormal interruptions. The performance evaluation indicators include average end-to-end latency, throughput, and number of concurrent connections. The energy consumption and efficiency evaluation indicators include average energy consumption per unit of effective data, energy security, and energy margin. The adaptability and robustness evaluation indicators include the range of indicator fluctuations, the number of times the adaptive mechanism is triggered, and its success rate.

[0064] 7.3 Operation Optimization Unit This is used to construct a mapping relationship between indicators and network parameters based on the evaluation indicator matrix, identify problems and bottlenecks in the empirical scenario during operation based on the mapping relationship, obtain evaluation results, and then generate corresponding optimization instructions based on the evaluation results to update the empirical scenario configuration and network operation behavior.

[0065] Therefore, this invention provides a standard-load communication network operation verification platform that can accurately reproduce complex scenarios, provide a complete evaluation index system, and realize real-world scenario verification and closed-loop optimization of the standard-load communication network in complex scenarios.

[0066] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0067] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A standard-load communication network operation demonstration platform, characterized in that, include: The empirical environment module is used to collect a basic set of empirical environment data based on the target area and the target communication object; The physical topology module is used to perform spatial and temporal unification, node deployment, and configuration of logical relationships between nodes based on the aforementioned basic data set, thereby obtaining the physical structure and communication switching strategy of the empirical scenario. The electromagnetic simulation module is used to simulate the average attenuation characteristics of the wireless channel, the signal fluctuation characteristics, the impact of sea state, and network interference using the aforementioned basic data set, thereby obtaining a simulated electromagnetic environment. The service and energy configuration module is used to utilize the basic data set to configure service generation, configure terminal energy, and couple the relationship between service generation and terminal energy, thereby simulating service load changes and energy consumption behavior. The scenario and working condition module is used to construct a scenario set, and then organize the scenario set, the physical structure, the communication switching strategy, the simulated electromagnetic environment, and the simulation of business load changes and energy consumption behavior into an empirical scenario configuration set; The network operation and monitoring module is used to load the empirical scenario set to drive the operation of the standard load communication network and collect the operation monitoring data and scenario monitoring data of the standard load communication network in real time to obtain the monitoring data set. The evaluation and optimization module is used to quantitatively evaluate the operation status of the standard load communication network in different scenarios, services and time stages using the monitoring data set, obtain the evaluation index matrix, and then optimize the empirical scenario configuration and network operation behavior based on the evaluation index matrix. The empirical environment module, the physical topology module, the electromagnetic restoration module, the service and energy configuration module, the scenario and operating condition module, the network operation and monitoring module, and the evaluation and optimization module are interconnected.

2. The standard-load communication network operation demonstration platform according to claim 1, characterized in that, The empirical environment module includes: The target object unit is used to obtain information related to the target maritime navigation mark, the target vessel, and the target shore-based platform based on the target area, and to obtain the target communication object; The basic data unit is used to collect physical and geographic information data, environmental and sea state data, electromagnetic and communication environment data, typical business and business traffic data, and terminal and network device parameter data based on the target area and the target communication object, so as to obtain the basic data set of the empirical environment. The physical and geographic information data includes water structure data, shoreline and infrastructure data, and obstacle and obstruction data; the environmental and sea state data includes meteorological data, sea state data, and environmental change event data; the electromagnetic and communication environment data includes communication base station and communication node distribution data, channel quality measurement data, and interference and noise data; the typical service and service traffic data includes service type definition data, service generation pattern data, and historical service traffic statistics data; and the terminal and network equipment parameter data includes navigation beacon terminal parameters, shipborne terminal parameters, and shore-based node and relay equipment parameters.

3. The standard-load communication network operation demonstration platform according to claim 2, characterized in that, The physical topology module includes: The reference system unit is used to map geographic coordinates to unified planar coordinates or latitude and longitude coordinates based on the basic data set using a coordinate transformation model, to complete the spatial reference system one, and to interpolate or align data with time offsets to complete the time base unification and obtain a standard data set. The physical deployment unit is used to divide the nodes into maritime navigation mark terminal nodes, shipborne terminal nodes, shore-based platform nodes and relay nodes based on the target communication object, and assign a unique identifier, node type attribute and management domain information to each type of node to obtain the physical structure; The topology configuration unit is used to generate candidate connection relationships between nodes based on the physical structure, according to the spatial distance between nodes, device capabilities and expected communication methods, and then mark the candidate communication methods of each logical connection on the candidate connection relationships to obtain a communication switching strategy.

4. The standard-load communication network operation demonstration platform according to claim 3, characterized in that, The electromagnetic restoration module includes: The channel simulation unit is used to extract statistical characteristics from the electromagnetic and communication environment data based on different received signal strengths, and to fit corresponding path loss parameters and shadow fading distributions for each scenario in order to simulate the average attenuation characteristics of the wireless channel. The signal simulation unit is used to extract multipath fading and Rice distribution parameters based on the standard dataset, and to configure a corresponding small-scale fading model for each typical environment to simulate signal fluctuation characteristics. The sea state simulation unit is used to correlate the sea state level in the environmental and sea state data with the channel quality in the electromagnetic and communication environment data to obtain the channel degradation degree corresponding to different sea state levels, and to set corresponding channel degradation parameters for each sea state level to simulate the impact of sea state. The interference testing unit is used to configure background noise and interference event occurrence probabilities for different areas based on the historical interference records of the target communication object, and randomly inject interference events according to the interference event occurrence probabilities to test the robustness of the network in the interference environment.

5. The standard-load communication network operation demonstration platform according to claim 4, characterized in that, The service and energy configuration module includes: The service configuration unit is used to obtain the probability distribution of service generation interval, the range of single service data volume, the maximum allowable latency and the service priority level based on the typical service and service traffic data, obtain service generation information, and associate the service generation information with the corresponding nodes so as to automatically generate service traffic that conforms to the real rules on the time axis of the scenario configuration and complete the service generation configuration. The terminal configuration unit is used to configure the terminal energy by describing the energy consumption rate of the terminal under different loads and different working modes and the energy replenishment capability under different lighting conditions based on the terminal and network device parameter data and through an energy model. The coupling configuration unit is used to define the energy consumption level corresponding to each service behavior, so as to couple the relationship between service generation and terminal energy.

6. The standard-load communication network operation demonstration platform according to claim 5, characterized in that, The scenario and working condition module includes: The scenario definition unit is used to define typical scenarios and configure physical structure and communication switching strategies, electromagnetic environment, and service load changes and energy consumption behavior for each typical scenario to obtain scenario instances. The scene rule unit is used to define the scene switching timeline and switching conditions for each scene instance, obtain the scene condition script, and assign scene numbers and scene description information to obtain a scene set. The empirical configuration unit is used to organize the scenario set, the physical structure, the communication switching strategy, the simulated electromagnetic environment, and the simulation of service load changes and energy consumption behavior into an empirical scenario configuration set.

7. The standard-load communication network operation demonstration platform according to claim 6, characterized in that, The network operation and monitoring module includes: The network operation unit is used to load the set of empirical scenarios and drive the operation of the standard load communication network and the generation of services and the updating of energy status according to the scenario operation script and preset operation behavior; the preset operation behavior includes access method and link construction, routing selection and forwarding record, retransmission and error correction mechanism execution; The operation monitoring unit is used to collect link connectivity status data, latency and jitter data, bit error rate and packet loss rate data, as well as throughput and load data during the operation of the standard load communication network, to obtain operation monitoring data; The scenario monitoring unit is used to collect business execution and service quality monitoring data, energy and equipment status monitoring data, and environmental and scenario event monitoring data based on the empirical scenario configuration set, so as to obtain scenario monitoring data.

8. The standard-load communication network operation demonstration platform according to claim 7, characterized in that, The business execution and service quality monitoring data includes business completion data, end-to-end latency distribution data, and timeout and discard statistics. The energy and equipment status monitoring data includes energy status evolution data, energy-related event data, and equipment health and operating status data. The environment and scenario event monitoring data includes environmental parameter time series data and scenario switching and operating condition event data.

9. The standard-load communication network operation demonstration platform according to claim 8, characterized in that, The evaluation index module includes: The data processing unit is used to divide the operation monitoring data and the scenario monitoring data into a subset of network layer and link layer operation data, a subset of service execution data, a subset of energy and equipment status data, a subset of environmental and scenario event data, and a subset of configuration and policy execution logs, and to classify the subsets according to scenario number and service type. The index calculation unit is used to calculate reliability and stability evaluation indexes, performance evaluation indexes, energy consumption and efficiency evaluation indexes, and adaptability and robustness evaluation indexes based on the partitioned subsets, and obtain the evaluation index matrix. The operation optimization unit is used to construct a mapping relationship between indicators and network parameters based on the evaluation indicator matrix, identify problems and bottlenecks in the operation of the empirical scenario based on the mapping relationship, obtain evaluation results, and then generate corresponding optimization instructions based on the evaluation results to update the empirical scenario configuration and network operation behavior.

10. A standard-load communication network operation demonstration platform according to claim 9, characterized in that, The reliability and stability evaluation indicators include service success rate, link availability, and number of abnormal interruptions. The performance evaluation indicators include average end-to-end latency, throughput, and number of concurrent connections. The energy consumption and efficiency evaluation indicators include average energy consumption per unit of effective data, energy security, and energy margin. The adaptability and robustness evaluation indicators include the range of indicator fluctuations, the number of times the adaptive mechanism is triggered, and its success rate.

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