Satellite-based multi-layer coupling wide-area system dynamic management and control method and system

Abstract

The application discloses a kind of satellite-based multi-circle layer coupling wide-area system dynamic management and control method, comprising: the global high-precision space-time reference is established by satellite constellation;According to the current own measuring point data and current associated measuring point data obtained in real time;When the current own measuring point data exceeds the first preset threshold, satellite remote sensing task is dynamically triggered, and current associated remote sensing data and current target associated measuring point data are obtained;Multi-circle layer coupling analysis determines the correlation of current event and current associated abnormal event;Ground server predicts event information using spatial correlation and time domain variation law;Satellite sends disposal instruction to ground execution terminal according to the correlation of current event and current associated abnormal event and prediction information.The application realizes global coverage real-time monitoring and closed-loop control through satellite communication, navigation, remote sensing, on-orbit intelligent computing integrated technology.The application also discloses a system, electronic equipment and storage medium for implementing the above method.

Description

Technical Field

[0001] This invention relates to the field of satellite and ground-based collaborative data processing technology, and in particular to a method and system for dynamic management and control of a wide-area system based on satellite multi-sphere coupling. Background Technology

[0002] In the dynamic monitoring and control of wide-area systems (such as power grids, water conservancy, agriculture, shipping, and geological disaster prevention and control), existing technologies have achieved certain application results in specific scenarios. For example, real-time monitoring based on ground-based wide-area measurement systems (such as power WAMS) collects dynamic data of the power grid through PMU (synchronous phasor measurement unit), but it is limited to the internal power system and relies on ground communication networks. For example, the "Power Real-time Wide-Area Stability Control and Communication System" developed by the China Electric Power Research Institute ensures the stable operation of large power grids through wide-area communication, but it still relies on ground infrastructure. Satellite remote sensing is used for periodic monitoring (such as agricultural meteorological observation), but it lacks a dynamic triggering mechanism and cannot adjust the remote sensing mode in real time for target events (such as pipeline leaks). For example, the Landsat satellite mission only supports periodic multispectral remote sensing and cannot respond to sudden needs; the discovery and response cases of Australian and California wildfires also reflect the lag in wide-area perception. The following technical problems also exist in existing technologies: I. Insufficient Coverage: Terrestrial communication networks struggle to cover remote or complex terrain areas, resulting in data collection blind spots. II. Poor Real-Time Performance: Reliance on manual inspections or fixed-period remote sensing makes it difficult to respond promptly to sudden faults (such as power grid instability or pipeline leaks). Currently, many facilities, including power grids and oil pipelines, still rely on manual inspections, with inspection cycles sometimes lasting up to six months. III. Lag and Blindness of Satellite Remote Sensing: Satellite remote sensing operates on a reactive or scheduled basis, often resulting in long observation lags for specific events (such as the disappearance of Malaysia Airlines Flight 370 or the Zhengzhou floods), and scheduled observation data may not match changes in target features or events. IV. Lack of Multi-Sphere Coupling Analysis: Existing technologies often focus on the internal structure of a single target system, lacking comprehensive analysis of related spheres (such as the influence of the atmosphere on the power grid's temperature field or the hydrosphere's pressure changes on water conservancy facilities). For example, the main data for dynamic stability control of power grid operation comes from dynamic data on the power generation and consumption sides, but environmental factors of transmission channels and meteorological factors of new energy power generation cannot be analyzed and utilized simultaneously. Similarly, water conservancy systems rely primarily on limited data such as water level and flow velocity in basin-level water resource scheduling, which can easily lead to water waste. Furthermore, if a target system event is triggered by its environment, it cannot trigger analysis and early warning of surrounding environmental accidents. Fifth, limitations in data processing: Traditional methods do not fully utilize spatiotemporal correlations (such as spatial multi-point deformation correlations and the temporal variation patterns of measured values) and multi-source data fusion analysis. For example, leak detection in oil pipelines mainly relies on direct observation of leak points, without incorporating analysis of the correlation characteristics of upstream and downstream pressure, vibration and geological vibration transmission, and spectral changes in soil and vegetation. Correlation data such as the positional changes and vibration responses of shorelines, water bodies, and dams in water conservancy systems are also not fused and analyzed. Data combinations that could comprehensively infer line fault states, such as stress-strain relationships, vibration transmission relationships, and relationships with displacement data among multiple nodes of power grid lines, have not been effectively applied. Summary of the Invention

[0003] To address the aforementioned problems in the existing technology, this invention provides a method and system for dynamic management and control of a wide-area system based on satellite multi-sphere coupling. The technical problem to be solved by this invention is achieved through the following technical solution: The first aspect of this invention provides a method for dynamic management and control of a wide-area system based on satellite multi-sphere coupling, comprising the following steps: The satellite constellation for communication, navigation, and telemetry synchronizes the time and space labels of the measurement point data of the connected ground sensors to achieve the same spatiotemporal reference for the measurement point data and remote sensing data; wherein, the measurement point data includes the target system's own measurement point data and the target system's associated measurement point data; The communication, navigation, and telemetry satellite constellation acquires its own current measurement point data and currently associated measurement point data in real time through satellite IoT communication payloads and ground IoT communication and navigation modules. The communication, navigation, and telemetry satellite constellation determines whether the current measurement point data of its own point is greater than a first preset threshold. If it is greater than the target, the communication, navigation and telemetry satellite constellation obtains the current event of the target system corresponding to the current measurement point data of its own current point, and determines the target associated area and target remote sensing mode according to the coupling relationship model. The satellite constellation for communication, navigation, and telemetry sends target mission instructions to multi-mode remote sensing payloads and satellite IoT communication payloads based on the target-associated region and the target remote sensing mode, in order to obtain the current associated remote sensing data of the target-associated region and the current target-associated measurement point data. The communication, navigation, and telemetry satellite constellation calculates multiple current target state parameters and determines the corresponding current associated anomaly events based on the currently associated remote sensing data, the current target associated measurement point data, and the coupling relationship model. The communication, navigation, and telemetry satellite constellation determines the correlation between the current event and the currently associated abnormal event based on the coupling relationship model of the current measurement point data and the multiple current target state parameters; The ground server determines the predicted event information based on the currently associated remote sensing data and the currently associated measurement point data of the target, as well as the prediction model, sent by the communication, navigation and telemetry satellite constellation. The ground server sends the predicted event information to the communication, navigation, and telemetry satellite constellation; The communication, navigation, and telemetry satellite constellation sends handling instructions to the ground execution terminal based on the correlation between the current event and the currently associated abnormal events, as well as the predicted information.

[0004] In one embodiment of the present invention, the communication, navigation, and telemetry satellite constellation calculates multiple current target state parameters and determines corresponding current associated anomaly events based on the currently associated remote sensing data, the currently associated target measurement point data, and the coupling relationship model, including: The communication, navigation, and telemetry satellite constellation calculates multiple current target state parameters based on the currently associated remote sensing data, the current target associated measurement point data, and the coupling relationship model. The satellite constellation for communication, navigation, and telemetry determines whether the target state parameter is greater than a second preset threshold. If it is greater than the target state parameter, determine the current associated abnormal event.

[0005] In one embodiment of the present invention, the method further includes: The communication, navigation, and telemetry satellite constellation determines fault assistance information based on the associated remote sensing data.

[0006] In one embodiment of the present invention, the method further includes: The ground server updates and trains the coupled model based on the current self-measurement point data, the current associated remote sensing data, the current target associated measurement point data, the current target state parameters, the correlation between the current event and the current associated abnormal event, and the prediction information.

[0007] A second aspect of this invention provides a satellite-based multi-sphere coupled wide-area system dynamic control system, comprising: A satellite constellation for communication, navigation, and telemetry is used to synchronize the time and space labels of measurement point data from connected ground sensors to ensure that the spatiotemporal reference of the measurement point data and remote sensing data is the same. The measurement point data includes the target system's own measurement point data and associated measurement point data. The system acquires its current own measurement point data and associated measurement point data in real time through a satellite IoT communication payload and a ground IoT communication module. It determines whether the current own measurement point data exceeds a first preset threshold. If it does, it acquires the current event of the target system corresponding to the current own measurement point data and determines the target associated region and target remote sensing mode based on a coupling relationship model. Based on the target associated region and target remote sensing mode, it sends target task instructions to a multi-mode remote sensing payload and a satellite IoT communication payload to acquire the current associated remote sensing data and current target associated measurement point data of the target associated region. It calculates multiple current target state parameters and determines the corresponding current associated anomaly events based on the current associated remote sensing data, the current target associated measurement point data, and the coupling relationship model. Finally, based on the coupling relationship model of the current own measurement point data and the multiple current target state parameters, it determines the association between the current event and the current associated anomaly event. The ground server is used to determine the predicted event information based on the currently associated remote sensing data and the currently associated measurement point data of the target, as well as the prediction model, sent by the communication, navigation and telemetry satellite constellation; and to send the predicted event information to the communication, navigation and telemetry satellite constellation. The communication, navigation, and telemetry satellite constellation is also used to send handling instructions to the ground execution terminal based on the correlation between the current event and the currently associated abnormal event, as well as the prediction information.

[0008] In one embodiment of the present invention, the step of calculating multiple current target state parameters and determining corresponding current associated anomaly events based on the currently associated remote sensing data, the currently associated target measurement point data, and the coupling relationship model includes: Calculate multiple current target state parameters based on the current associated remote sensing data, the current target associated measurement point data, and the coupling relationship model; Determine whether the target state parameter is greater than a second preset threshold; If it is greater than the target state parameter, determine the current associated abnormal event.

[0009] In one embodiment of the present invention, the communication, navigation and telemetry satellite constellation is further used to determine fault assistance information based on the associated remote sensing data.

[0010] In one embodiment of the present invention, the ground server is further configured to update and train the coupled model based on the current self-measurement point data, the current associated remote sensing data, the current target associated measurement point data, the current target state parameters, the correlation between the current event and the current associated abnormal event, and the prediction information.

[0011] A third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements a satellite-based multi-sphere coupling wide-area system dynamic control method provided in the first aspect of the present invention.

[0012] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method for dynamic control of a wide-area system based on satellite multi-sphere coupling provided in the first aspect of the present invention.

[0013] The beneficial effects of this invention are: This invention achieves event-driven, responsive sensing, breaking through the limitations of traditional periodic remote sensing models (such as Landsat and other traditional remote sensing missions), improving fault response speed by over 90% compared to manual inspection. It incorporates related spheres such as the geosphere, atmosphere, and biosphere into a wide-area target system analysis framework, supporting the inference of complex causal relationships. By unifying the spatiotemporal benchmark of observation data through integrated satellite communication, navigation, and remote sensing technology, it solves the challenge of multi-source data fusion analysis. The satellite supports comprehensive monitoring, making it particularly suitable for scenarios such as power grids in remote areas, long-distance oil and gas pipelines, highways and railways, offshore operations, and watershed-level water resource management. Through the combination of satellite-based IoT communication and dynamic remote sensing, near real-time fault response is achieved. Multi-sphere coupled analysis can locate the causes of hidden faults (such as pipeline displacement due to soil erosion), reducing the false alarm rate.

[0014] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0015] 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

[0016] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 A flowchart illustrating a satellite-based multi-sphere coupling method for dynamic control of a wide-area system, as provided in an embodiment of the present invention. Figure 2 A schematic diagram of a wide-area system dynamic control system architecture based on satellite multi-sphere coupling is provided for an embodiment of the present invention; Figure 3 This is a flowchart illustrating the dynamic control method in a power grid scenario based on the satellite-based multi-layer coupling wide-area system dynamic control method provided in this embodiment of the invention. Figure 4 This is a block diagram of a wide-area system dynamic control system based on satellite multi-sphere coupling, provided as an embodiment of the present invention. Detailed Implementation

[0017] The present invention will be further described in detail below with reference to specific embodiments, but the implementation of the present invention is not limited thereto.

[0018] like Figure 1 As shown, the first aspect of this invention provides a method for dynamic management and control of a wide-area system based on satellite multi-sphere coupling, comprising the following steps: Step 10: Establish the communication, navigation, and telemetry satellite constellation and broadcast high-precision spatiotemporal reference information to the terminal, and synchronize the time and space labels of the measurement point data of the connected ground sensors to achieve the same spatiotemporal reference for the measurement point data and remote sensing data.

[0019] The measurement point data includes the target system's own measurement point data and the target system's associated measurement point data. The associated measurement point data of the target system refers to the measurement point data of other systems that are related to the target system.

[0020] In this step, a high-precision spatiotemporal reference for the entire domain is established using an integrated communication, navigation, remote sensing, and computing satellite, and time and space labels for all sensor data are synchronized.

[0021] Both the measurement point data and the remote sensing data include data from wide-area systems, especially data from complex systems closely coupled with the Earth's geosphere, biosphere, atmosphere, hydrosphere, and human social activities, such as power grids, oil pipelines, agriculture, and water conservancy. To address the need for closed-loop management of wide-area systems, the navigation enhancement capabilities of integrated satellites are used to provide a high-precision spatiotemporal reference for sensing information and commands, ensuring information alignment in time and space. Step 11: The communication, navigation and telemetry satellite constellation obtains its own current measurement point data and the data of its current associated measurement points in real time through the satellite IoT communication payload and the ground IoT communication and navigation module.

[0022] In this step, the satellite IoT communication payload is connected to the ground IoT communication and navigation module. The communication, navigation and telemetry satellite constellation collects wide-area system sensor data (such as power grid current, pipeline pressure, oil pipeline network, agriculture, water conservancy, etc.) and related layer parameters (such as atmospheric temperature, soil moisture, etc.) in real time. It uses the IoT communication capability of the integrated satellite to directly collect data from all the systems that need to be monitored and the ground sensors of the surrounding environment.

[0023] Step 12: The communication, navigation, and telemetry satellite constellation determines whether its current measurement point data exceeds a first preset threshold. It uses its on-orbit computing capabilities to determine whether sensor data or data relative relationships exceed the threshold.

[0024] In-orbit determination of whether one or more data points of the system's own measurement points exceed the threshold.

[0025] In this step, the threshold values ​​include not only those corresponding to direct measurements, but also threshold values ​​related to the relationships between multiple measurement points (such as the relationship between conductor temperature and atmospheric temperature, transmission current, and wind speed).

[0026] Step 13: If the value is greater than the first preset threshold, the communication, navigation and telemetry satellite constellation obtains the current event of the target system corresponding to its current measurement point data, and determines the target associated region and target remote sensing mode according to the coupling relationship model.

[0027] In this step, if the current measurement point data exceeds the threshold, it indicates that one or more systems have experienced an anomaly. Based on the identifier of the current measurement point data, the corresponding target system and the corresponding current event can be identified. For example, if the data from a transmission line tower tilt sensor exceeds the threshold, the corresponding current event in the power grid system is the tilting of the transmission line tower. Then, based on the parameters of the power grid system and the surrounding environmental layers involved in the coupling relationship model established for the wide-area target system's own composition and its relationship with the surrounding environmental layers, it is determined which areas of environmental layer measurement points these parameters originate from, and the environmental layer physical field data that needs to be collected by remote sensing mode.

[0028] For example, parameters in the coupling model related to the power grid system include data on geological deformation of the tower base and surrounding areas, on-site image data, stress and strain sensor data of nearby towers and lines, and physical field data such as atmospheric temperature and wind speed. This allows us to determine the area for collecting these data and which remote sensing mode to use for collection (such as using infrared remote sensing to observe the temperature field, or using SAR remote sensing to observe elevation and deformation).

[0029] Step 14: The communication, navigation and telemetry satellite constellation sends target mission instructions to the multi-mode remote sensing payload and satellite IoT communication payload based on the target associated region and target remote sensing mode, in order to obtain the current target associated measurement point data and the current associated remote sensing data of the target associated region.

[0030] In this step, the satellite remote sensing mission is dynamically triggered. The satellite autonomous mission management system automatically triggers the corresponding remote sensing payload to capture images in real time and the IoT communication payload to collect data from relevant target-related measurement points. Given the multi-dimensional and continuous coupling between the target system and its surrounding environment, remote sensing is used to acquire field data such as temperature, deformation, and composition, rather than single-point data, thus solving the problem of spatial matching between target system measurement points and environmental layer measurement points.

[0031] For example, the system can respond by activating remote sensing modes such as visible light, infrared, hyperspectral, and microwave to acquire geological deformation data of the tower base and surrounding area, as well as on-site image data. Simultaneously, it can collect stress and strain sensor data, atmospheric temperature, and wind speed data from nearby towers and lines to obtain multi-dimensional information about the target system and environment (such as temperature field, material composition, and deformation data).

[0032] Step 15: The communication, navigation and telemetry satellite constellation calculates multiple current target state parameters and determines the corresponding current associated anomaly events based on the current associated remote sensing data, the current target associated measurement point data and the coupling relationship model.

[0033] Step 15 includes the following steps: Steps 151-153: Step 151: The communication, navigation and telemetry satellite constellation calculates multiple current target state parameters based on the currently associated remote sensing data, the current target associated measurement point data and the coupling relationship model.

[0034] The calculated current target state parameters are indirectly measurable state parameters in the coupled relationship model. These parameters characterize the state of the target system under the influence of related systems, as well as the degree of influence of those systems.

[0035] Step 152: The communication, navigation, and telemetry satellite constellation determines whether the target state parameters are greater than the second preset threshold.

[0036] Step 153: If the value is greater than the target state parameter, determine the current associated abnormal event.

[0037] Here, if the target state parameter exceeds the threshold, it further indicates that an anomaly has occurred in the surrounding environment. If the target state parameter does not exceed the threshold, it indicates that no obvious anomaly has occurred in the surrounding environment, and the corresponding current normal event can be identified. This indicates that there is no anomaly around the target system. In this case, the current measurement point data exceeding the threshold can be used as the monitoring result, and the corresponding handling instructions can be directly sent to the ground execution terminal.

[0038] Step 16: The communication, navigation, and telemetry satellite constellation determines the correlation between the current event and the current associated abnormal event based on the coupling relationship model of its own current measurement point data and multiple current target state parameters.

[0039] Using the transmission relationship model between different types of state parameters in the coupling relationship model (such as the relationship between stress and strain) and the transmission relationship model between the state parameters of the target system and the environmental sphere (such as the spatial transmission model of deformation displacement between soil and facilities), the causal logic of state changes or anomalies is calculated from the measurement point data and physical field values. For example, whether the deformation displacement of the facility leads to the deformation of the foundation or the deformation of the foundation affects the deformation of the facility.

[0040] In this step, the measurement data are processed using different types of influence relationship models (such as the relationship between stress and strain) and coupling relationship models between the target system and the environmental sphere (such as the spatial transfer model of deformation displacement between soil and facilities) to calculate the path of the measured values. Simultaneously acquired surrounding image data is used to identify relevant external influencing factors, such as abnormal equipment or line temperatures caused by forest fires, or facility tilting caused by collisions with construction machinery.

[0041] In one feasible implementation, the cause of the anomaly can be directly identified using an identification algorithm based on the currently associated remote sensing data, serving as auxiliary fault information. The communication, navigation, and telemetry satellite constellation can then send handling instructions to the ground execution terminal based on this auxiliary fault information.

[0042] Step 17: The ground server determines the predicted event information based on the currently associated remote sensing data and the currently associated measurement point data of the target sent by the communication, navigation and telemetry satellite constellation, as well as the prediction model.

[0043] The ground control center's ground server uses the coupling relationship model to predict the future state of the target system and its surrounding environment by analyzing the changes and influence relationships in the time domain (such as periodic hydrological fluctuations) and spatial domain (such as deformation trends in adjacent areas). For example, it can predict the future power generation of wind farms based on wind field changes, and predict landslide risks based on water parameters and data such as slope displacement, tilt, water content, and vegetation.

[0044] Step 18: The ground server sends the predicted event information to the communication, navigation, and telemetry satellite constellation.

[0045] Step 19: The communication, navigation, and telemetry satellite constellation sends handling instructions to the ground execution terminal based on the correlation between the current event and the current associated abnormal events, as well as the prediction information.

[0046] In this step, the execution terminals include automatic actuators (such as pipeline valves, water conservancy pumping stations, power grid frequency regulation devices, etc.) and manual intervention.

[0047] In-orbit computing or satellite-ground center collaborative computing can be used to analyze and simulate states, events, and anomalies in real time, generate corresponding disposal instructions (such as adjusting power grid power, closing leaking pipeline valves, agricultural irrigation or spraying of pesticides, geological disaster early warning, etc.), and dynamically schedule the disposal process.

[0048] In this embodiment, based on the different manifestations of events or faults, the mechanism of the target system, and the coupling relationship with the surrounding layers, corresponding rules and coupling relationship models can be established and uploaded to the "Autonomous Mission Management and On-orbit Computation (On-orbit Computation Payload)" unit of the on-orbit satellite. A coupling relationship model is established for the wide-area target system's own composition and its association with the surrounding environmental layers. The parameter relationships in the coupling relationship model can be expressed analytically, numerically, or through AI models. This mainly includes the measurement points of the operating state parameters of each component of the target system, the calculation relationships of indirectly measured state parameters, the time-domain variation characteristics of state parameters, and the transmission relationships between state parameters; the measurement points of the state parameters of the surrounding environmental layers, the calculation relationships of indirectly measured state parameters, the time-domain and spatial-domain variation characteristics of state parameters, the influence relationships between state parameters, the transmission relationships between environmental state parameters and the target system's measurement points, and the transmission relationships between the numerical values ​​of the physical fields of the surrounding environmental layers and the state parameters of the target system and the environmental layers. The analytical model in the coupling relationship model is established using relevant professional knowledge, while the numerical or AI model is established using measured data or simulation data for training.

[0049] In one feasible implementation, the ground server updates and trains the coupled model based on its own current measurement point data, currently associated remote sensing data, currently associated target measurement point data, currently target state parameters, the correlation between current events and currently associated abnormal events, and prediction information. After the update, it is uploaded to the "Autonomous Mission Management and On-orbit Computing" unit of the on-orbit satellite, and new control capabilities can be added at any time.

[0050] In one feasible implementation, the system architecture of the present invention is as follows: Figure 2 As shown, the integrated satellite is a communication, navigation, remote sensing, and computing integrated satellite, comprising an on-orbit computing payload, an IoT communication payload, a multi-mode remote sensing payload, and a navigation enhancement payload. The ground-based IoT communication and navigation module includes an IoT communication terminal and a communication and navigation integrated terminal. The on-orbit computing payload is interactively connected to the IoT communication payload, the multi-mode remote sensing payload, and the navigation enhancement payload, respectively. Both the IoT communication terminal and the communication and navigation integrated terminal are interactively connected to the IoT communication payload. Based on this architecture, multi-sphere coupling analysis can be performed, such as... Figure 3 The diagram shows the principle of multi-layer coupling analysis.

[0051] This invention overcomes the limitations of traditional remote sensing technologies that rely on periodic mission patterns (such as the programmable and scheduled observation modes of the Landsat satellite). It is the first to realize an event-driven dynamic remote sensing response mechanism, characterized by immediacy, spatial conformity, and relevance to specific remote sensing modes. By acquiring abnormal measurement point signals (such as power grid short circuits and pipeline leaks) in real time through a satellite-based IoT communication network, the system can instantly trigger remote sensing observations and dynamically adjust sensor parameters (such as spatial resolution and spectral bands), thereby acquiring high-precision field data within minutes. Compared to the traditional mode relying on manual inspections (with fault response cycles lasting hours to months), this invention improves fault response speed by over 90%, significantly shortening the time window for accident detection and handling, and effectively preventing disaster spread or equipment damage.

[0052] This invention is the first to incorporate data from related spheres such as the geosphere (e.g., soil erosion, geological deformation), the atmosphere (e.g., wind speed, precipitation), and the biosphere (e.g., vegetation growth status) into a wide-area system analysis framework. For example, in oil and gas pipeline monitoring scenarios, soil erosion data and geological deformation characteristics can be combined to accurately identify potential causes of pipeline displacement (e.g., soil slippage caused by rising groundwater levels), significantly reducing the false judgment rate and improving the system's ability to analyze complex environmental coupled faults.

[0053] This invention utilizes integrated satellite technology (such as high-precision atomic clock timing and spaceborne GNSS navigation enhancement payloads) to uniformly assign high-precision spatiotemporal labels to multi-source data (such as remote sensing imagery, IoT sensor data, and environmental monitoring data), solving the data fusion problem caused by asynchronous timestamps and inconsistent spatial references in traditional systems. Based on a unified spatiotemporal reference, the system can achieve precise correlation and joint analysis of cross-regional and cross-sphere data (such as aligning power grid node vibration data with contemporaneous meteorological and geological deformation data in the spatiotemporal dimension), thereby supporting high-precision condition assessment and risk prediction.

[0054] Leveraging the wide-area observation capabilities of satellites, this invention achieves comprehensive, blind-spot-free monitoring of remote power grids, long-distance oil and gas pipelines, and basin-level water resource management, solving the "data silo" problem caused by insufficient terrestrial communication network coverage. Through the synergy of a satellite-based IoT communication network (low-Earth orbit satellite constellation) and dynamic remote sensing technology, the system can complete the entire process from anomaly detection and data acquisition to analysis and decision-making within minutes, achieving near real-time fault response and meeting the dynamic management and control needs of high-risk scenarios (such as offshore wind power platforms and plateau oil pipelines). The multi-concentric coupling model can uncover implicit correlations that are difficult to identify using traditional methods (such as the causal chain between soil erosion and pipeline displacement), significantly improving fault location accuracy and risk warning accuracy, reducing the false judgment rate, and providing intelligent decision support for the safe and stable operation of wide-area systems.

[0055] In summary, this invention achieves breakthroughs in three core technologies: dynamic triggering remote sensing, multi-sphere coupling analysis, and spatiotemporal benchmark fusion. These breakthroughs address the bottlenecks in coverage, real-time performance, and analytical depth of existing wide-area systems, providing a new generation of efficient, accurate, and reliable solutions for dynamic management and control in fields such as power grids, water conservancy, agriculture, maritime transport, and geological disaster prevention and control.

[0056] like Figure 3 As shown, the second aspect of this invention provides a more detailed description of a satellite-based multi-layer coupling method for dynamic management and control of a wide-area system in a specific scenario. The second aspect of this invention provides a satellite-based multi-layer coupling method for dynamic management and control of a wide-area system, including the following steps: Taking a power grid system as a specific application scenario: Example 1 I. Real-time monitoring: The communication and telemetry satellite constellation detected that the tilt sensor of the transmission line tower exceeded the threshold.

[0057] II. Triggering Remote Sensing: The satellite collects tilt sensor data through the ground communication and navigation module, and then initiates visible light, SAR, and hyperspectral remote sensing to acquire data on the deformation field of the tower base and surrounding environment, environmental soil and rock spectral field data, and image data on the status of personnel, equipment, and construction in the surrounding area. Simultaneously, it collects stress and strain sensor data, displacement sensor data, temperature sensor data, wind speed, and other data from nearby towers and lines.

[0058] III. Coupled Analysis: Combining the rigid-flexible body stress-deformation model of equipment and facilities, the spatial relationship model between soil and rock and facilities, the spectral composition model of soil and rock, and the displacement / deformation relationship model between soil and rock and facilities, this analysis determines whether tower tilting is caused by geological deformation; it uses remote sensing image data to determine whether there are engineering activities in the surrounding area; it uses a line mechanics model to determine the impact of tower tilting on the line; and it uses data from surrounding towers and meteorological data to analyze whether line tension is a contributing factor or an influencing factor. This comprehensive analysis determines the degree, cause, impact, and development trend of tower tilting defects. Simultaneously, it uses the correlation of data from multiple location sensors and their relationship with surrounding geological conditions to analyze whether geological disasters or risks have occurred.

[0059] IV. Handling Instructions: Based on the assessment of whether a power outage or switchover has occurred, remotely control relevant ground equipment to execute actions via satellite IoT communication, and notify maintenance personnel or unmanned intelligent equipment for on-site handling. If a geological disaster risk is deduced in reverse, relevant departments can be notified for early warning and response.

[0060] Example 2 1. Real-time monitoring: The communication and telemetry satellite constellation detected that the temperature sensor of the power transmission line exceeded the threshold.

[0061] II. Triggering Remote Sensing: The satellite collects temperature sensor data through the ground communication and navigation module, and then activates visible light, infrared remote sensing, and hyperspectral remote sensing to acquire spectral data of surrounding objects, images of surrounding tree cover, and surrounding temperature field data. Simultaneously, it collects environmental data such as electrical parameter sensor data and meteorological element sensor data.

[0062] III. Coupling Analysis: Combining equipment and facility heating models, equipment and facility heat transfer models, environmental heat dissipation models, and surrounding environment and object thermal state analysis models, this analysis determines whether thermal faults in power grid equipment are caused by the equipment itself or by changes in the surrounding ambient temperature. Remote sensing image data is used to assess the normality of the surrounding temperature field data. Simultaneously, the correlation between data from multiple location sensors and their relationship with surrounding temperature field data is used to analyze the timing of a fire or the risk of a fire.

[0063] IV. Handling Instructions: Based on the assessment of whether a power outage or switchover has occurred, remotely control relevant ground equipment to execute actions via satellite IoT communication, and notify maintenance personnel or unmanned intelligent equipment for on-site handling. If a fire risk is deduced in reverse, relevant departments can be notified for early warning and response.

[0064] like Figure 4 As shown, a third aspect of the present invention provides a satellite-based multi-sphere coupled wide-area system dynamic control system, comprising: The communication, navigation, and telemetry satellite constellation 21 is used to synchronize the time and space labels of the measurement point data of connected ground sensors to achieve the same spatiotemporal reference for the measurement point data and remote sensing data. The measurement point data includes the target system's own measurement point data and associated measurement point data. It acquires the current self-measurement point data and associated measurement point data in real time through the satellite IoT communication payload and the ground IoT communication module. It determines whether the current self-measurement point data exceeds a first preset threshold. If it does, it acquires the current event of the target system corresponding to the current self-measurement point data and determines the target associated region and target remote sensing mode based on a coupling relationship model. Based on the target associated region and target remote sensing mode, it sends target mission instructions to the multi-mode remote sensing payload and the satellite IoT communication payload to acquire the current associated remote sensing data of the target associated region and the current target associated measurement point data. It calculates multiple current target state parameters and determines the corresponding current associated anomaly events based on the current associated remote sensing data, the current target associated measurement point data, and the coupling relationship model. Finally, based on the current self-measurement point data and the coupling relationship model of multiple current target state parameters, it determines the association between the current event and the current associated anomaly event. Ground server 22 is used to determine the predicted event information based on the currently associated remote sensing data and the currently associated measurement point data of the target, as well as the prediction model, sent by the communication, navigation and telemetry satellite constellation; and to send the predicted event information to the communication, navigation and telemetry satellite constellation. The communication, navigation, and telemetry satellite constellation 21 is also used to send handling instructions to ground execution terminals based on the correlation between current events and related abnormal events, as well as prediction information.

[0065] In one embodiment of the present invention, multiple current target state parameters are calculated and corresponding current associated anomaly events are determined based on currently associated remote sensing data, currently associated target measurement point data, and a coupling relationship model, including: Calculate multiple current target state parameters based on the current associated remote sensing data, current target associated measurement point data, and coupling relationship model; Determine whether the target state parameter is greater than the second preset threshold; If it is greater than the target state parameter, determine the current associated abnormal event.

[0066] In one embodiment of the present invention, the communication, navigation and telemetry satellite constellation 21 is also used to determine fault assistance information based on associated remote sensing data.

[0067] In one embodiment of the present invention, the ground server 22 is further configured to update and train the coupled model based on its own current measurement point data, currently associated remote sensing data, currently associated target measurement point data, currently target state parameters, the correlation between current events and currently associated abnormal events, and prediction information.

[0068] A fourth aspect of the present invention provides an electronic device, including a memory, a processor, and computer programs, algorithms, and models stored in the memory and executable on the processor. When the processor executes the program, it implements the above-described method for dynamic control of a wide-area system based on satellite multi-layer coupling provided by the present invention.

[0069] The fifth aspect of this invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-described method for dynamic control of a wide-area system based on satellite multi-sphere coupling provided by this invention.

[0070] The memory may include random access memory (RAM) and non-volatile memory (NVM), such as at least one FLASH memory. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0071] The aforementioned processors can be general-purpose processors, including central processing units (CPUs), general-purpose computing on graphics processing units (GPGPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware systems.

[0072] The method provided in this invention can be applied to electronic devices. Specifically, the electronic device can be a desktop computer, a portable computer, a smart mobile terminal, a server, etc. No limitation is made herein; any electronic device that can implement this invention falls within the protection scope of this invention.

[0073] For system / electronic device embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be found in the description of the method embodiments.

[0074] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.

[0075] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, the instruction system being implemented in a process Figure 1 One or more processes and / or boxes Figure 1The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0076] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for dynamic control of a wide-area system based on satellite multi-sphere coupling, characterized in that, Includes the following steps: The satellite constellation for communication, navigation, and telemetry synchronizes the time and space labels of the measurement point data of the connected ground sensors to achieve the same spatiotemporal reference for the measurement point data and remote sensing data; wherein, the measurement point data includes the target system's own measurement point data and the target system's associated measurement point data; The communication, navigation, and telemetry satellite constellation acquires its own current measurement point data and currently associated measurement point data in real time through satellite IoT communication payloads and ground IoT communication and navigation modules. The communication, navigation, and telemetry satellite constellation determines whether the current measurement point data of its own point is greater than a first preset threshold. If the value is greater than the target, the navigation and telemetry satellite constellation acquires the current events of the target system corresponding to its current measurement point data, and determines the target association area and target remote sensing mode according to the coupling relationship model; wherein, the coupling relationship model is established based on the composition of the wide-area target system itself and its association with the surrounding environmental layers; The communication, navigation, and telemetry satellite constellation sends target mission commands to the multi-mode remote sensing payload and satellite IoT communication payload of the constellation based on the target association area and target remote sensing mode. This dynamically triggers the satellite remote sensing mission and the satellite IoT communication payload to collect target-related measurement point data from the corresponding ground sensors, thereby obtaining the current associated remote sensing data of the target association area and the current target-related measurement point data. Both the IoT communication terminal and the integrated communication and navigation terminal are interactively connected to the IoT communication payload. The communication, navigation, and telemetry satellite constellation calculates multiple current target state parameters and determines the corresponding current associated anomaly events based on the currently associated remote sensing data, the current target associated measurement point data, and the coupling relationship model. The communication, navigation, and telemetry satellite constellation determines the causal relationship between the current event and the currently associated abnormal event based on the coupling relationship model between the current measurement point data and the multiple current target state parameters; The ground server determines the predicted event information based on the currently associated remote sensing data and the currently associated measurement point data of the target, as well as the prediction model, sent by the communication, navigation and telemetry satellite constellation. The ground server sends the predicted event information to the communication, navigation, and telemetry satellite constellation; The communication, navigation, and telemetry satellite constellation sends handling instructions to the ground execution terminal based on the correlation between the current event and the currently associated abnormal events, as well as the predicted event information.

2. The method as described in claim 1, characterized in that, The communication, navigation, and telemetry satellite constellation calculates multiple current target state parameters and determines corresponding current associated anomaly events based on the currently associated remote sensing data, the currently associated target measurement point data, and the coupling relationship model, including: The communication, navigation, and telemetry satellite constellation calculates multiple current target state parameters based on the currently associated remote sensing data, the current target associated measurement point data, and the coupling relationship model. The satellite constellation for communication, navigation, and telemetry determines whether the target state parameter is greater than a second preset threshold. If it is greater than the target state parameter, determine the current associated abnormal event.

3. The method as described in claim 1, characterized in that, The method further includes: The communication, navigation, and telemetry satellite constellation determines fault assistance information based on the associated remote sensing data.

4. The method as described in claim 1, characterized in that, The method further includes: The ground server updates and trains the coupling relationship model based on the current self-measurement point data, the current associated remote sensing data, the current target associated measurement point data, the current target state parameters, the correlation between the current event and the current associated abnormal event, and the predicted event information.

5. A wide-area system dynamic control system based on satellite multi-sphere coupling, characterized in that, include: A satellite constellation for communication, navigation, and remote sensing is used to synchronize the time and space labels of measurement point data from connected ground sensors to ensure that the spatiotemporal reference of the measurement point data and remote sensing data is the same. The measurement point data includes the target system's own measurement point data and associated measurement point data. The system acquires the current own measurement point data and associated measurement point data in real time through the satellite IoT communication payload and the ground IoT communication and navigation module. It determines whether the current own measurement point data exceeds a first preset threshold. If it does, it acquires the current event of the target system corresponding to the current own measurement point data and determines the target's associated region and target remote sensing mode based on a coupling relationship model. The coupling relationship model is established based on the wide-area target system's own structure and its association with the surrounding environmental layers. Based on the target's associated region and... The target remote sensing mode sends target mission commands to the multi-mode remote sensing payload and satellite IoT communication payload of the communication, navigation, and telecomputing satellite constellation to dynamically trigger the satellite remote sensing mission and satellite IoT communication payload to collect target-related measurement point data from corresponding ground sensors, and obtain the current associated remote sensing data and current target-related measurement point data of the target-related area; wherein, the IoT communication terminal and the communication and navigation integrated terminal are interactively connected with the IoT communication payload; based on the current associated remote sensing data, the current target-related measurement point data, and the coupling relationship model, multiple current target state parameters are calculated and the corresponding current associated anomaly events are determined; based on the current self-measurement point data and the coupling relationship model of the multiple current target state parameters, the causal relationship between the current event and the current associated anomaly event is determined; The ground server is used to determine the predicted event information based on the currently associated remote sensing data and the currently associated measurement point data of the target, as well as the prediction model, sent by the communication, navigation and telemetry satellite constellation; and to send the predicted event information to the communication, navigation and telemetry satellite constellation. The communication, navigation, and telemetry satellite constellation is also used to send handling instructions to the ground execution terminal based on the correlation between the current event and the currently associated abnormal event, as well as the predicted event information.

6. The system as described in claim 5, characterized in that, The step of calculating multiple current target state parameters and determining corresponding current associated anomaly events based on the current associated remote sensing data, the current target associated measurement point data, and the coupling relationship model includes: Calculate multiple current target state parameters based on the current associated remote sensing data, the current target associated measurement point data, and the coupling relationship model; Determine whether the target state parameter is greater than a second preset threshold; If it is greater than the target state parameter, determine the current associated abnormal event.

7. The system as described in claim 5, characterized in that, The communication, navigation, and telemetry satellite constellation is also used to determine fault assistance information based on the associated remote sensing data.

8. The system as described in claim 5, characterized in that, The ground server is also used to update and train the coupling relationship model based on the current self-measurement point data, the current associated remote sensing data, the current target associated measurement point data, the current target state parameters, the correlation between the current event and the current associated abnormal event, and the predicted event information.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the satellite-based multi-layer coupling wide-area system dynamic control method as described in any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the satellite-based multi-sphere coupling wide-area system dynamic control method as described in any one of claims 1 to 4.

Images