Space ground control simulation method and system

Abstract

The application discloses a spaceflight ground measurement and control simulation method and system, and the method comprises simulation preparation, simulation initialization and simulation deduction. The application adopts simulation technology, constructs a separate simulation application environment, simulates spaceflight measurement and control network operation, provides a task training terminal, solves the problem of lacking support and means in training, guarantees spaceflight ground measurement and control tasks to be able to carry out normal training in full time periods, transforms task system software, only increases some functions such as data recording, does not destroy original data, interfaces and interfaces, fundamentally guarantees environment fidelity for personnel, performs system level test in simulation by means of interface simulation, can be used as a beneficial supplement to task system test, makes up for the deficiency of test conditions in the task system, and provides necessary means for presenting task training effect, realizing teaching and external display.

Description

Technical Field

[0001] This invention relates to the field of aerospace ground telemetry and control technology, and in particular to an aerospace ground telemetry and control simulation method and system. Background Technology

[0002] Currently, my country's aerospace industry is in a critical period of rapid development. The telemetry and control tasks undertaken by the aerospace ground control system are becoming increasingly heavy and technically demanding, requiring high levels of professional competence and skills from personnel. How to train personnel to improve their mission implementation and support capabilities is a crucial issue that urgently needs to be addressed. Researching training methods for aerospace ground control missions is of great practical significance for improving personnel training and cultivating talent in the field. It can enhance personnel's mission handling and collaboration abilities, thereby increasing the first-time mission completion rate and strengthening risk response capabilities.

[0003] Traditionally, two main training methods have been employed: desktop independent simulation and mission idle period training. However, both have certain shortcomings and limitations. Desktop independent simulation often deploys critical components of the mission system in a separate environment, failing to fully reflect the overall mission execution and system operation, resulting in discrepancies with the actual mission system, and the data preparation process is complex. Mission idle period training, on the other hand, operates directly within the actual mission system during mission idle periods, significantly impacting system stability and data security and integrity, and the heavy workload limits training time. Therefore, traditional methods are no longer adequate for the training needs of future aerospace ground-based telemetry and control.

[0004] To meet the training needs of aerospace ground-based telemetry, tracking, and command (TT&C) missions, the use of digital simulation, information processing, virtual reality, and other technologies to construct simulated application environments under various mission scenarios, simulating the aerospace TT&C network and its operational environment, and providing realistic mission training terminals, is inevitably the future development trend of aerospace ground-based TT&C mission training. Compared to traditional mission training methods, simulation training offers the advantages of independent operation around the clock and lower training safety risks, making it the mainstream development direction for aerospace ground-based TT&C mission training at present.

[0005] Considering the increasing number of future aerospace ground telemetry and control training missions, in order to reduce the operation and management costs of the simulation environment and improve its overall utilization efficiency, simulation training methods should not only ensure that the mission training terminal meets basic mission training needs, but also require focused research and unified design on training environment simulation, training mission planning, training process control, and training effect presentation, providing capability support for the entire training process. The key issues in training environment simulation are how to simulate the periphery of the mission system and how to ensure the realism of the mission training simulation environment. The former must achieve a closed-loop process with the mission training simulation environment without increasing the simulation workload too much, given that it is the periphery of the mission system; the latter involves whether the training can achieve its objectives. There is an urgent need to solve the problem of unplanned training missions, avoiding errors and time-consuming data preparation, and the inability to design training subjects in advance. Relevant training data should be arranged before simulation training begins, and automatically loaded and used during training. During simulation training, it is impossible to detach from the control and monitoring of the training process. Under certain preconditions, the prescribed training subjects should be automatically triggered, especially for on-site interventions in training scenarios, using training subjects to drive training tasks and guide personnel in mission training. Introducing methods for presenting training results is crucial for addressing external demonstrations and utilizing training data. The focus is on researching how to collect training process and outcome data, and how to apply this data to comprehensive situational awareness display and training effectiveness evaluation. Currently, existing research, both domestically and internationally, lacks a detailed and mature simulation framework suitable for aerospace ground-based telemetry and control mission training, for constructing simulation environments and supporting mechanisms to complete aerospace ground-based telemetry and control training. Summary of the Invention

[0006] The main objective of this invention is to provide a space ground telemetry and control simulation method and system, which aims to solve the technical problems that current space ground telemetry and control simulation schemes cannot meet the requirements of routine training, risk-free training, high environmental fidelity, and multi-purpose applications.

[0007] To achieve the above objectives, the present invention provides a space ground telemetry and control simulation method, the method comprising the following steps:

[0008] Simulation preparation:

[0009] S11: Obtain basic simulation data;

[0010] S12: Simulation scenario arrangement; wherein, the simulation scenario arrangement includes scenario name, scenario description, simulation time period and training subjects;

[0011] Simulation initialization:

[0012] S21: Select a specific simulation scenario for loading;

[0013] S22: Initialize the loaded simulation scenario; wherein, the initialization settings include simulation mode settings, running state switching, simulation time calculation and distribution, and command and control instruction distribution;

[0014] Simulation and deduction:

[0015] S31: Periodically calculate the simulation time and distribute the simulation time to each part of the system to achieve synchronization of task training simulation time;

[0016] S32: After the simulation time is synchronized, according to the training subject requirements, the guidance and control instructions are periodically distributed to each part of the system. When the guidance and control instructions are executed, the training scenario corresponding to the simulation training changes.

[0017] S33: After the control command is executed, the measurement and control task simulation is realized based on the changes in the training scenario and the operation information of the training terminal.

[0018] Optionally, step S11 further includes: calling the basic data preparation service to migrate, import, manage, and export backup the simulation basic data.

[0019] Optionally, the simulation basic data includes telemetry codebooks, remote control codebooks, satellite attributes, and resource capabilities; wherein, the simulation basic data is stored as a dataset identified by time tags.

[0020] Optionally, step S12 further includes: calling the training scenario orchestration service to perform training subject design and guidance instruction editing; wherein, the training subject setting includes subject name setting, subject description setting and guidance instruction set setting, and the guidance instruction editing includes guidance instruction ID editing, guidance instruction description editing, guidance sending time editing, guidance execution time editing and guidance instruction parameter editing.

[0021] Optionally, step S22 further includes: calling the simulation run driver service and the simulation run control service to perform initialization settings; wherein, the simulation mode settings include simulation run mode and data playback mode, and the running status includes scheme not loaded status, scheme loaded and waiting to start status, simulation run status and simulation run ended status.

[0022] Optionally, the expression for the simulation time is specifically as follows:

[0023]

[0024] Among them, T Sim The simulation time is represented by T0, the initial simulation time is T0, and the number of simulation steps is N. f represents the simulation step size for the i-th simulation step. i This represents the simulation rate of the i-th simulation step. This represents the simulation cycle of the i-th simulation step.

[0025] Optionally, the guidance and control commands include predetermined guidance and ad-hoc guidance.

[0026] Optionally, step S32 further includes: calling the measurement and control interface simulation service to realize the training scenario change corresponding to the simulation training; step S33 further includes: calling the measurement and control task processing service to realize the measurement and control task simulation based on the training scenario change and the training terminal operation information.

[0027] Optionally, during the simulation, the method further includes:

[0028] Call the measurement and control data acquisition service to record measurement and control simulation data; call the measurement and control status display service to display measurement and control simulation information; call the measurement and control performance evaluation service to evaluate the measurement and control simulation execution.

[0029] Furthermore, to achieve the above objectives, the present invention also provides an aerospace ground telemetry and control simulation system, which includes a basic data preparation service module, a training scenario arrangement service module, a simulation operation drive service module, a simulation operation control service module, a telemetry and control interface simulation service module, a telemetry and control task processing service module, a telemetry and control data acquisition service module, a telemetry and control situation display service module, and a telemetry and control performance evaluation service module. The aerospace ground telemetry and control simulation system is used to execute the aerospace ground telemetry and control simulation method described above.

[0030] This invention proposes a space ground telemetry and control simulation method and system. The method includes simulation preparation, simulation initialization, and simulation deduction. By employing simulation technology, this invention constructs a separate simulation application environment to simulate the operation of a space telemetry and control network, providing a mission training terminal. This solves the problem of lack of training support and means, while ensuring that space ground telemetry and control missions can conduct routine training around the clock. Modifications to the mission system software only add functions such as data recording, without damaging the original data, interfaces, or user interface. Furthermore, the basic data is imported from the mission system, fundamentally ensuring the realism of the environment for personnel. Through interface simulation, system-level testing is conducted within the simulation, serving as a valuable supplement to mission system testing and compensating for deficiencies in the testing conditions within the mission system. Situational display and effect evaluation provide essential means for presenting mission training results and for teaching and external demonstrations. The realistic training terminal is of great significance for conducting various mission joint debugging and training missions. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the structure of an aerospace ground telemetry and control simulation system according to an embodiment of the present invention;

[0032] Figure 2This is a schematic diagram of the state of aerospace ground telemetry and control simulation operation in an embodiment of the present invention;

[0033] Figure 3 This is a flowchart illustrating a space ground telemetry and control simulation method according to an embodiment of the present invention.

[0034] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0035] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0036] Currently, in the relevant technical fields, existing aerospace ground telemetry and control simulation solutions cannot meet the requirements of routine training, risk-free training, high environmental realism, and multi-purpose applications.

[0037] To address this issue, various embodiments of the aerospace ground telemetry and control simulation method of this invention are proposed. The aerospace ground telemetry and control simulation method provided by this invention utilizes simulation technology to construct a separate simulation application environment, simulating the operation of the aerospace telemetry and control network, providing a mission training terminal, solving the problem of lack of training support and means, and ensuring that aerospace ground telemetry and control missions can conduct routine training around the clock. Modifications to the mission system software only add functions such as data recording, without damaging the original data, interfaces, or user interface. Furthermore, the basic data is imported from the mission system, fundamentally ensuring the realism of the environment for personnel. Through interface simulation, system-level testing is conducted in the simulation, serving as a valuable supplement to mission system testing and compensating for deficiencies in the testing conditions within the mission system. Through situational awareness and effect evaluation, it provides essential means for presenting mission training results and realizing teaching and external demonstrations. The realistic training terminal is of great significance for conducting various mission joint debugging and training missions.

[0038] This invention provides a spaceborne ground telemetry and control simulation method based on a spaceborne ground telemetry and control simulation system. This system includes a basic data preparation service module, a training scenario arrangement service module, a simulation operation drive service module, a simulation operation control service module, a telemetry and control interface simulation service module, a telemetry and control task processing service module, a telemetry and control data acquisition service module, a telemetry and control situation display service module, and a telemetry and control performance evaluation service module. The method achieves spaceborne ground telemetry and control simulation through the following measures:

[0039] (1) The basic data preparation service is responsible for migrating and importing the basic data involved from the task system into the simulation environment, and managing the basic dataset.

[0040] (2) The training scenario arrangement service mainly arranges and manages simulation scenarios, which include scenario basic data, training subjects, and guidance and control instructions.

[0041] (3) As the control center of simulation training, the simulation operation driving service and the simulation operation control service jointly realize the selection and loading of specified simulation scenarios, simulation mode setting, operation control and state switching, simulation time calculation and distribution, and guidance control command distribution.

[0042] (4) The measurement and control interface simulation service can simulate the ground measurement and control resource interface and the user center interface. The simulation can be triggered manually or by the control command.

[0043] (5) The measurement and control task processing service is directly modified using the task system software, adding functional modules such as time acquisition, status reporting, guidance and control response, and data recording.

[0044] (6) The measurement and control data acquisition service provides a data recording interface to collect, normalize and store measurement and control related data, which is the main source of training data.

[0045] (7) The monitoring and control situation display service presents the comprehensive situation or thematic situation of the training task scenario based on the collected data and with the help of various means such as two-dimensional, three-dimensional, curves, and statistical charts.

[0046] (8) Measurement and control performance evaluation service: Based on the collected data, after constructing a training performance evaluation index system, the training effect of measurement and control tasks is comprehensively analyzed and evaluated.

[0047] Specifically, such as Figure 1 As shown, the aerospace ground telemetry and control simulation system consists of basic data preparation services, training scenario arrangement services, simulation operation driving services, simulation operation control services, telemetry and control interface simulation services, telemetry and control task processing services, telemetry and control data acquisition services, telemetry and control status display services, and telemetry and control performance evaluation services. Each part forms an organic whole and works together to realize the simulation training environment.

[0048] Basic data preparation services and training scenario arrangement services provide data support for the operation of the simulation system.

[0049] The basic data preparation service provides the foundational data for simulation training of the telemetry, tracking, and command (TT&C) mission processing service, enabling basic data migration and import, basic dataset management, and basic data export and backup. Basic data includes telemetry codebooks, remote control codebooks, satellite attributes, and resource capabilities. The basic data is identified as datasets using time stamps. Migration and import are the primary sources of basic data, with time stamps added during import. Export and backup are used to back up data, and time stamps are exported simultaneously during export.

[0050] The training scenario orchestration service provides simulation training scenarios and task scenarios for the measurement and control task processing service. It primarily enables the orchestration of simulation scenarios, such as training subject design and guidance / control instruction editing. A simulation scenario describes the training environment and related tasks, including scenario name, scenario description, simulation time period, and training subject composition. Training subjects describe the tasks for a specific training phase, including subject name, subject description, and guidance / control instruction set. Guidance / control instructions are the main means of scenario change and task-driven operations, consisting of guidance / control instruction ID, guidance / control instruction description, guidance / control sending time, guidance / control execution time, and guidance / control instruction parameters.

[0051] Simulation run-driven service and simulation run-control service serve as the control center for task simulation training.

[0052] The simulation operation-driven service directly controls the measurement and control task processing service and the measurement and control interface simulation service, enabling the loading of specified simulation scenarios, setting simulation modes, switching operating states, calculating and distributing simulation time, and distributing guidance and control commands. The simulation operation control service operates on the simulation operation-driven service, implementing simulation control interventions such as scenario selection control, start / stop operation control, simulation time control, and guidance and control intervention. Simulation modes are divided into simulation operation mode and data playback mode; the former is used for task training, and the latter for training review. Operating states are divided into four states: scheme not loaded, scheme loaded and waiting to start, simulation running, and simulation running ended, corresponding to scheme selection, scheme loading, simulation start, and simulation stop operations, respectively. The operating state switching is shown in the attached figure. Figure 2 As shown. The formula for calculating simulation time is:

[0053]

[0054] T Sim The simulation time is represented by T0, the initial simulation time is T0, and the number of simulation steps is N. f represents the simulation step size for the i-th simulation step. i This represents the simulation rate of the i-th simulation step. This represents the simulation cycle of the i-th simulation step. The control methods are divided into predetermined control and ad-hoc control. The former is defined and cannot be modified during the simulation scenario, while the latter can be added and controlled temporarily based on the current situation.

[0055] Measurement and control task processing services and measurement and control interface simulation services are the core parts of the system's business.

[0056] The telemetry, tracking, and command (TT&C) interface simulation service is used to simulate peripheral objects of the mission system, such as ground resources and user centers. Primarily based on information interfaces, it works in conjunction with the TT&C mission processing service to form a closed loop of business information and processes. It supports manual interface-triggered simulation or simulation triggered via control commands.

[0057] The telemetry, tracking, and command (TT&C) mission processing service directly serves training personnel, providing training operation terminals to realize aerospace ground TT&C operations such as telemetry processing, remote control processing, resource scheduling, resource management, and orbit calculation. The mission system software is modified to add functional modules such as time acquisition, status reporting, guidance and control response, and data logging, but the mission interface, process, and user interface format remain unchanged.

[0058] The measurement and control data acquisition service, measurement and control situation display service, and measurement and control performance evaluation service provide the capability for training data acquisition and display.

[0059] The measurement and control data acquisition service provides a data recording interface to collect data reported by the measurement and control task processing service and the measurement and control interface simulation service, such as telemetry data, remote control data, task requests, resource status, etc., and normalizes the data according to a specific format before storing it in the system storage facility.

[0060] Based on geographic information, the telemetry, tracking, and command (TT&C) situation display service uses collected data and various methods such as 2D and 3D graphs, curves, and statistical charts to overlay and display key information such as spacecraft orbits, satellite-to-ground links, and TT&C plans, presenting a comprehensive or thematic situation of the training mission scenario. The comprehensive situation is deployed on a large display screen, while the thematic situation is deployed at various training positions. It supports dynamically subscribing to different spacecraft or resources to form specific thematic situations.

[0061] The measurement and control performance evaluation service uses collected data as input. Following specified evaluation indicators, models, and methods, it calculates evaluation indicators using the model, and then uses the evaluation methods based on the set of indicators to obtain the final evaluation result. This achieves a quantitative evaluation of training effectiveness and fulfills the purpose of evaluating training results. Evaluation indicators include indicator ID, indicator name, and indicator type. The evaluation model describes the input information and how the evaluation indicators are calculated. Evaluation methods can include the Analytic Hierarchy Process (AHP), fuzzy comprehensive evaluation, and the Analytic Difference of Analysis (ADC). It supports outputting evaluation results in report form and supports indicators such as task satisfaction rate, task success rate, resource utilization rate, and resource health status.

[0062] See attached document Figure 3 The simulation application described in this invention is divided into a simulation preparation stage and a simulation operation stage. The simulation operation stage is further divided into simulation initialization and simulation deduction.

[0063] The simulation preparation phase refers to the data preparation phase before system simulation execution. It encompasses various related operations for basic data preparation and training scenario arrangement, mainly including data migration and import, control instruction editing, training subject design, and simulation scenario arrangement. Based on the task training requirements, data migration and import targets the basic scenario data, control instruction editing targets the control instructions, training subject design targets the training subject data, and simulation scenario arrangement targets the training scenario and task scenario. Each operation stores the data in a set format according to data tags such as time and description, allowing for repeated use. During simulation initialization in the simulation execution phase, if the data used already exists, it can be used directly without needing to create data each time.

[0064] The simulation operation phase refers to the stage where the system simulation environment is started and running. During this phase, simulations of measurement and control scenarios, tasks, business processes, and information processing are conducted. It provides a control interface for measurement and control personnel during task training, enabling simulation training, drills, teaching, external demonstrations, and research testing. The simulation operation phase is divided into two sub-phases: simulation initialization and simulation derivation.

[0065] Simulation initialization, or before simulation, involves setting up the simulation environment using a specified simulation scenario as input. This includes configuring the telemetry and control (TT&C) scenario and setting the training subjects for TT&C tasks. It involves defining the characteristics and attributes of key scenario elements such as spacecraft and ground resources, arranging the TT&C task training subjects according to their time sequence, setting the simulation start and end times, and automatically starting related services such as TT&C task processing and TT&C interface simulation. Once simulation initialization is complete, the simulation environment will have the data, backend services, and frontend interface required for simulation.

[0066] Simulation simulation is the process of training personnel to handle measurement and control tasks and perform operational maneuvers, driven by continuous simulation of measurement and control tasks after the initialization of the measurement and control simulation scenario. The simulation process continues from the simulation start time to the simulation end time (or when the simulation stops). During this period, based on the simulation step size, simulation rate, and time control, the system periodically calculates the simulation time and distributes it to various parts of the system to achieve synchronization of task training simulation time. Driven by the simulation time, according to the training subject requirements, the system periodically distributes guidance and control instructions to various parts of the system. After the guidance and control instructions are received, they are executed at the specified time to realize changes in training scenarios such as the initiation and cancellation of measurement and control tasks, the entry and exit of measurement and control resources, and abnormal operation of measurement and control resources. It also allows for on-the-spot guidance and control intervention in the training process based on the training site conditions. Driven by both simulation time and guidance and control instructions, the system simulates measurement and control scenarios and tasks. Based on the information displayed at the training end, personnel complete the corresponding handling operations through the interface, enabling the flow of measurement and control business and the processing of measurement and control information. During the training process, data is continuously collected and reported for comprehensive / thematic situation display, training effectiveness evaluation and analysis, and report output.

[0067] This embodiment provides a space ground telemetry and control simulation method and system. By employing simulation technology, a separate simulation application environment is constructed to simulate the operation of the space telemetry and control network, providing a mission training terminal. This solves the problem of lack of training support and means, while ensuring that space ground telemetry and control missions can conduct routine training around the clock. The mission system software is modified, adding only some functions such as data recording, without damaging the original data, interfaces, and interfaces. Furthermore, the basic data is imported from the mission system, fundamentally ensuring the realism of the environment for personnel. Through interface simulation, system-level testing is conducted in the simulation, serving as a useful supplement to mission system testing and compensating for the lack of testing conditions in the mission system. Through situation display and effect evaluation, necessary means are provided to present the mission training effect and realize teaching and external demonstration. The realistic training terminal is of great significance for conducting various mission joint debugging and training missions.

[0068] The above are merely preferred embodiments of the invention and do not limit the patent scope of the invention. Any equivalent structural or procedural changes made using the contents of the invention specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the invention.

Claims

1. A simulation method for aerospace ground telemetry and control, characterized in that, The method includes the following steps: Simulation preparation: S11: Obtain basic simulation data; S12: Simulation scenario arrangement; wherein, the simulation scenario arrangement includes scenario name, scenario description, simulation time period and training subjects; Simulation initialization: S21: Select a specific simulation scenario for loading; S22: Initialize the loaded simulation scenario; wherein, the initialization settings include simulation mode settings, running state switching, simulation time calculation and distribution, and command and control instruction distribution; Simulation and deduction: S31: Periodically calculate the simulation time and distribute the simulation time to each part of the system to achieve synchronization of task training simulation time; S32: After the simulation time is synchronized, according to the training subject requirements, the guidance and control instructions are periodically distributed to each part of the system. When the guidance and control instructions are executed, the training scenario corresponding to the simulation training changes. S33: After the control command is executed, the measurement and control task simulation is realized based on the changes in the training scenario and the operation information of the training terminal; Step S33 further includes: calling the telemetry and control task processing service to realize telemetry and control task simulation based on changes in the training scenario and training terminal operation information; the telemetry and control task processing service is used to provide training operation terminals to trainees to realize telemetry processing, remote control processing, resource scheduling, resource management and control and orbit calculation; the telemetry and control task processing service is modified from the task system software, and time acquisition, status reporting, guidance and control response and data recording function modules are added to the task system software, without modifying the task interface, process and interface form of the task system software; During the simulation, the method further includes: Call the measurement and control data acquisition service to record measurement and control simulation data; call the measurement and control status display service to display measurement and control simulation information; call the measurement and control performance evaluation service to evaluate the measurement and control simulation execution. The measurement and control performance evaluation service takes the collected data as input, calculates the evaluation indicators through the evaluation model according to the specified evaluation indicators, evaluation model and evaluation method, and then calculates the final evaluation result based on the evaluation indicator set and the evaluation method. The evaluation method includes the analytic hierarchy process, the fuzzy comprehensive evaluation method and the ADC method.

2. The aerospace ground telemetry and control simulation method as described in claim 1, characterized in that, Step S11 also includes: calling the basic data preparation service to migrate, import, manage, and export backup the simulation basic data.

3. The aerospace ground telemetry and control simulation method as described in claim 2, characterized in that, The simulation foundation data includes telemetry codebooks, remote control codebooks, satellite attributes, and resource capabilities; the simulation foundation data is stored as a dataset using time-stamped identifiers.

4. The aerospace ground telemetry and control simulation method as described in claim 1, characterized in that, Step S12 further includes: calling the training scenario orchestration service to perform training subject design and guidance instruction editing; wherein, the training subject setting includes subject name setting, subject description setting and guidance instruction set setting, and the guidance instruction editing includes guidance instruction ID editing, guidance instruction description editing, guidance sending time editing, guidance execution time editing and guidance instruction parameter editing.

5. The aerospace ground telemetry and control simulation method as described in claim 1, characterized in that, Step S22 further includes: calling the simulation run driver service and the simulation run control service to perform initialization settings; wherein, the simulation mode settings include simulation run mode and data playback mode, and the running status includes scheme not loaded status, scheme loaded and waiting to start status, simulation run status and simulation run ended status.

6. The aerospace ground telemetry and control simulation method as described in claim 5, characterized in that, The expression for the simulation time is as follows: in, The simulation time is represented by T0, the initial simulation time is T0, and the number of simulation steps is N. f represents the simulation step size for the i-th simulation step. i This represents the simulation rate of the i-th simulation step. This represents the simulation cycle of the i-th simulation step.

7. The aerospace ground telemetry and control simulation method as described in claim 5, characterized in that, The guidance and control commands include predetermined guidance and control and ad-hoc guidance and control.

8. The aerospace ground telemetry and control simulation method as described in claim 1, characterized in that, Step S32 also includes: calling the measurement and control interface simulation service to realize the change of training scenario corresponding to the simulation training.

9. An aerospace ground telemetry and control simulation system, characterized in that, The aerospace ground telemetry and control simulation system includes a basic data preparation service module, a training scenario arrangement service module, a simulation operation drive service module, a simulation operation control service module, a telemetry and control interface simulation service module, a telemetry and control task processing service module, a telemetry and control data acquisition service module, a telemetry and control situation display service module, and a telemetry and control performance evaluation service module. The aerospace ground telemetry and control simulation system is used to execute the aerospace ground telemetry and control simulation method as described in any one of claims 1-8.

Images