CN117785971A - Multi-satellite situation information processing system and process organization method - Google Patents

Abstract

The invention provides a multi-star situation information processing system and a flow organization method, wherein the system comprises the following steps: the system management module determines a plurality of system configuration information based on the display requirements of users on situation information and the situation information of each satellite to be processed; the data receiving module packages the situation information received by the first component into a unified structure; the data processing module performs data screening, data fusion and parameter conversion processing on the standard data through a second component according to the display requirement; and the data forwarding module packages the processed situation data through a third component in each flow chain according to the protocol type and the transmission mode supported by the downstream application and forwards the processed situation data to different downstream applications. The invention processes the data of a plurality of different satellites, flexibly configures the whole flow of data processing according to the display requirement, and can remarkably improve the flexibility, efficiency and accuracy of the data processing of the multi-satellite situation information.

Description

Multi-satellite situation information processing system and process organization method

Technical field

The invention relates to the field of satellite data technology, and in particular to a multi-satellite situation information processing system and process organization method.

Background technique

During the satellite launch and on-orbit operation, the multi-source situation information received is used to monitor the working parameters of each subsystem of the satellite, display the satellite's orbit and attitude, and drive the satellite's movements, which can more intuitively display the satellite's operating status. It should be noted that all data used to reflect satellite status and environmental situation, such as telemetry parameters, digital images, external measurement information, etc., belong to multi-source situation information. As humans continue to explore the space field, the number of satellites and payload types is increasing day by day, and multi-satellite joint collaboration is widely used. Multi-satellite scenarios have put forward higher requirements for situation display, and the corresponding data processing end required for situation display is also facing challenges. new challenge.

In the current multi-satellite scenario, different satellite models lead to different types, quantities, and status representations of situational information data. Each collection and processing system retains different formats and protocols, resulting in the need to provide a specific set of processing for each satellite. Processes and supported data formats. In addition, the traditional method of processing satellite data information is usually fixed, that is, different satellite data information must go through a unified processing process, which cannot meet the needs of users for different processing processes of different satellite data in multi-satellite networks.

Therefore, how to adapt satellite situation information of different data formats and provide flexible and configurable processing procedures according to needs to support the real-time and personalized requirements of decision-making and monitoring tasks has become an urgent technical issue in this field that needs to be solved.

Summary of the invention

In view of the problems existing in the existing technology, the present invention provides a multi-satellite situation information processing system and a process organization method.

In a first aspect, the present invention provides a multi-satellite situation information processing system, including:

It includes a system management module, a data receiving module, a data processing module and a data forwarding module;

The system management module is used to determine a plurality of system configuration information based on the user's demand for displaying situation information and the situation information of each satellite to be processed; the plurality of system configuration information includes a correspondence between each process chain and the situation information of each satellite to be processed, and various parameters of each process chain; the process chain includes a plurality of target components, and the target component is any one or a combination of the first component of the data receiving module, the second component of the data processing module, and the third component of the data forwarding module;

The data receiving module is configured to encapsulate the situation information of each satellite to be processed received by the first component in each of the process chains into a data structure based on the plurality of system configuration information, as standard situation data;

The data processing module is used to perform data screening, data fusion and parameter conversion on the standard data through the second component in each of the process chains based on the multiple system configuration information and according to the display requirements to obtain processing Post-situation data is sent to the data forwarding module;

The data forwarding module is configured to encapsulate the processed situation data based on the plurality of system configuration information, through the third component in each process chain, and according to the protocol type and transmission mode supported by the downstream application, Obtain the situation data to be displayed and forward it to different downstream applications.

Optionally, the system management module is further configured to register and generate each target component included in each process chain based on the plurality of system configuration information, and construct a sequence relationship between each target component.

Optionally, the data receiving module is also used to:

Through the first component for data source selection in each process chain, the situation information of each satellite to be processed is selected to receive different data sources; the selection conditions of the different data sources include satellite identification, load capacity, Download method and delay;

The integrity, legality and correctness of the standard situation data are verified through the first component for data verification in each of the process chains.

Optionally, the data processing module includes a second component for data filtering, a second component for data fusion, and a second component for parameter conversion;

Through the second component for data screening in each process chain, the portion that meets the first filtering condition is screened out from the situation information of each satellite to be processed as the target situation information; the first filtering condition includes parameters Subscription rules, star time filtering rules and wild value filtering rules;

Through the second component for data fusion in each process chain, data representing the same physical quantity of the same satellite from different data sources are time-aligned and multi-value merged;

Through the second component for parameter conversion in each process chain, the situation information of each satellite to be processed is sequentially processed according to the preset aggregation rules, the preset sampling rules and the preset parameter conversion rules. Process to obtain the situation data after parameter conversion.

Optionally, the preset aggregation rules include continuous data discrimination indicators, time windows, difference discrimination indicators and selected aggregation algorithms; the preset sampling rules include sampling rate, sampling time interval, event triggering rules and sampling Algorithm; the preset parameter conversion rules are used to convert the situation information of each satellite to be processed according to the downstream application support reference coordinate system and the reference unit of each physical quantity.

Optionally, the data forwarding module is also used to:

Through the third component used for data encapsulation and compression in each process chain, the situation data to be displayed is compressed according to the data compression strategy configured in the multiple system configuration information;

Through the third component for data distribution in each process chain, the compressed situation data to be displayed is distributed to the downstream applications according to the preset data distribution strategy; the preset data distribution strategy is Multiple components of system configuration information determined by the system management module based on the processing capabilities of downstream applications and the display requirements of downstream applications for situation information;

Through the third component for connection management in each process chain, the connection status with the downstream application is monitored, and based on the connection status, it is determined whether to trigger the abnormal connection processing mechanism.

Optionally, the process chain is an asynchronous responsibility chain designed using the responsibility chain design pattern.

Optionally, the system management module includes a process management component, which is used to:

Configure the correspondence between each process chain and the situation information of each satellite to be processed;

A plurality of target components included in each of the process chains are adjusted.

Optionally, the system management module also includes a configuration management component, which is used to:

Configuring various parameters of multiple target components included in each process chain;

Update various parameters of multiple target components included in each process chain;

Manage the multiple system configuration information of different versions;

Import and export system configuration information.

In a second aspect, the present invention also provides a multi-satellite situation information process organization method, which is applied to the multi-satellite situation information processing system. The method includes:

Receive satellite data downloaded from each satellite processed by the satellite ground station as situation information of each satellite to be processed;

Obtain the user's demand for display of situation information;

Based on the user's demand for displaying situation information and the situation information of each satellite to be processed, and based on pre-developed components, the components are connected in series according to business needs to implement process arrangement and determine multiple system configuration information; the multiple system configuration information includes the corresponding relationship between each process chain and the situation information of each satellite to be processed, and various parameters of each process chain; the process chain includes multiple target components, and the target component is any one or a combination of the first component of the data receiving module, the second component of the data processing module and the third component of the data forwarding module;

Based on the plurality of system configuration information, initialize each target process chain; the target process chain is any one of the process chains included in the system configuration information;

Based on the multiple target components included in each of the target process chains, the situation information of each satellite to be processed is converted into a data structure, and any one or combination of data reception, data processing and data forwarding is performed, Sent to each of the downstream applications.

The multi-satellite situation information processing system and process organization method provided by the present invention determine multiple system configuration information according to the downstream display requirements for situation information and the characteristics of the satellite data transmitted by each satellite after being processed by the satellite ground station, and initialize the target components involved in each process chain based on the multiple system configuration information; the data structure converted from the satellite data is used as the standard situation data through the first component involved in each process chain; the standard situation data is subjected to data screening, data fusion and parameter conversion through the second component involved in each process chain to obtain the processed situation data, and the third component in the data forwarding module is packaged according to the protocol and transmission mode supported by the downstream application, and then forwarded to the downstream application display. The present invention processes the data of multiple different satellites, and flexibly configures the entire process of data processing according to the display requirements, which can significantly improve the flexibility, efficiency and accuracy of multi-satellite situation information data processing. It provides a more powerful data processing capability for satellite situation display and decision-making, so that users can better utilize the data resources of the multi-satellite satellite network to achieve more accurate and real-time monitoring and decision support.

Description of the drawings

In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

Figure 1 is a schematic structural diagram of a multi-satellite situation information processing system provided by an embodiment of the present invention;

Figure 2 is a schematic structural diagram of a data receiving module provided by an embodiment of the present invention;

Figure 3 is a schematic structural diagram of a data processing module provided by an embodiment of the present invention;

Figure 4 is a schematic structural diagram of a data forwarding module provided by an embodiment of the present invention;

Figure 5 is a schematic diagram of the processing flow of the system management module provided by the embodiment of the present invention;

Figure 6 is a schematic flowchart of a multi-satellite situation information process organization method provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention more clear, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present invention.

FIG1 is a schematic diagram of the structure of a multi-satellite situation information processing system provided by an embodiment of the present invention; as shown in FIG1 , the system includes: a data receiving module, a data processing module, a data forwarding module, and a system management module.

The data receiving module is used to receive situational information from different satellites in parallel. The situational information data of different satellites is converted into a data structure. There is no need to provide a separate first component for satellite data of each data structure. Through a unified processing framework , also makes the processing flow more unified. The data receiving module includes one or more first components, which are specifically used for operations such as data source selection, data buffering, data encapsulation, and data verification.

The data processing module, according to the user's display requirements for situation information, filters the data information obtained from the data receiving module through one or more second components in the data processing module and according to different process chains configured by the system management module. Through operations such as data fusion and parameter conversion, the processed situation data is obtained and sent to the data forwarding module; the second component used to implement different functions in the data processing module can be flexibly configured according to the user's display requirements for situation information. .

The data forwarding module initializes the third component involved in each process chain in the data forwarding module based on multiple system configuration information determined by the system management command, and processes the data obtained by the data processing module according to the protocol types and transmission methods supported by different downstream applications. After the situation data is encapsulated, it is forwarded to the corresponding downstream application, so that the downstream application can receive it according to the transmission type it supports, and parse and display it according to the protocol type it supports.

The system management module is used to determine multiple system configuration information based on the user's display requirements for situation information and the situation information of each satellite to be processed; system configuration information has two aspects: process chain information: what components are there and the connections between them Relationship; component information: parameter information required by the component to implement its function. Among them, a plurality of system configuration information is used to configure the correspondence between each process chain and the situation information of each satellite to be processed, as well as the parameters of the target components in each process chain; that is, to determine the corresponding relationship between the situation information of each satellite to be processed. The configuration of each process chain, as well as the parameters of the target components in each process chain; the configuration of the process chain specifically includes which target components are configured and the order between each target component. The target component is the first component of the data receiving module, data Any one or combination of the second component of the processing module and the third component of the data forwarding module. The parameters of the target component in each process chain are the configuration of each parameter related to the target component in the process chain determined after the configuration information of the process chain is determined. Management refers to configuring and updating the parameters needed by a component to implement its own functions.

Each process chain may include multiple target components, and the target component is any one or a combination of the first component of the data receiving module, the second component of the data processing module, and the third component of the data forwarding module. As shown in Figure 1, the situation information of satellite 1 is completed through a separate process chain. The process chain used to process the situation information of satellite 1 includes one or more first components of the data receiving module and one or more first components of the data processing module. a second component, and one or more third components of the data forwarding module; the situation information of satellite 2 is completed through another separate process chain. Similarly, the process chain used to process the situation information of satellite 2 includes a data receiving module one or more first components of the data processing module, one or more second components of the data processing module, and one or more third components of the data forwarding module.

The multi-satellite situation information processing system provided by the present invention determines multiple system configuration information based on the downstream display requirements for situation information and the characteristics of the satellite data downloaded from each satellite after being processed by the received satellite ground station, and based on these multiple System configuration information initializes the target components involved in each process chain; through the first component involved in each process chain, the satellite data is converted into a data structure as standard situation data; through the second component involved in each process chain, the standard situation The data undergoes data screening, data fusion and parameter conversion to obtain processed situation data, which is encapsulated by the third component in the data forwarding module according to the protocol and transmission method supported by the downstream application, and then forwarded to the downstream application for display. The invention processes data from multiple different satellites and flexibly configures the entire data processing process according to display requirements, which can significantly improve the flexibility, efficiency and accuracy of multi-satellite situation information data processing. It provides more powerful data processing capabilities for satellite situation display and decision-making, allowing users to better utilize the data resources of multi-satellite satellite networks to achieve more accurate and real-time monitoring and decision support.

In some embodiments, the system management module is also used to register and generate each of the target components included in each of the process chains based on the plurality of system configuration information, and construct a sequence relationship between each of the target components. .

Specifically, the system management module also initializes all target components included in each process chain based on the above multiple system configuration information, that is, registers and generates each target component included in each process chain, and builds a link between the target components. The sequence relationship is to inject the dependency attributes of each target component to complete the binding between target components. That is to say, it is determined which first component, which second component and which third component are used in the process chain corresponding to the situation data of a certain satellite to be processed to process the received original satellite data and then send it to the matching downstream. application for display.

In some embodiments, the data receiving module is further used to:

Through the first component for data source selection in each process chain, the situation information of each satellite to be processed is selected to receive different data sources; the selection conditions of the different data sources include satellite identification, load capacity, Download method and delay;

The integrity, legality and correctness of the standard situation data are verified through the first component for data verification in each process chain.

Specifically, the above-mentioned data receiving module can not only convert the received situation information of each satellite to be processed into a unified data structure, but can also be used to: receive situation information data from different satellites and payloads. After data source selection, data After receiving buffering, data encapsulation, data verification and other operations, it is sent to the data processing module.

FIG. 2 is a schematic diagram of the structure of a data receiving module provided in an embodiment of the present invention. As shown in FIG. 2 , the data receiving module may include the following components:

2.1 The first component for data source selection (data source selection component)

The data source selection component is used to select and configure the data sources to be received, reduce the amount of data, and avoid performance losses caused by processing operations that do not require data; the data sources that need to be received are usually determined based on the display requirements of downstream applications for situational data.

The conditions for data source selection include different satellites, different payloads, different download methods, different delays and source indications. The source indication is used to indicate whether the data source is an original data source or a simulated data source.

The implementation of data source selection can be divided into two categories:

Category 1: The satellite ground station receives signals from different satellites and has been classified by the satellite ground station into different channels according to different data sources for transmission. At this time, the first component used for data source selection only needs to configure the specified channel, that is Can receive situation data from specified data sources;

Category 2: After receiving signals from different satellites, the satellite ground station does not divide channels according to data sources. It usually uses one or more data identifiers in the signals of different satellites to select satellite data that meets the specified data source selection conditions for transmission. to subsequent processing components. In this way, part of the satellite data that does not meet the data source selection conditions will be discarded, reducing unnecessary data processing, storage and forwarding operations.

2.2 First component for data reception (data receiver)

The data receiver component is mainly responsible for receiving and caching situation information data. It acts as an intermediate layer for data reception, receiving raw data from different satellites and enqueuing them to ensure stable data reception and transmission. The data receiver component uses a buffer to temporarily store the received data to ensure stable data reception and processing, and avoid data loss caused by mismatched data reception and processing capabilities. The data receiver component generally uses a separate thread to separate data reception from other processing modules to avoid blocking and delaying the operation of the entire system. At the same time, the data receiver component can have a certain buffer management mechanism to control the buffer size, data storage method, and data entry and exit order.

2.3 The first component used for data encapsulation (data encapsulation component)

The data encapsulation component is located after the data receiver and is responsible for parsing different situation information data and encapsulating it into a unified data structure or object defined by the system.

First of all, the data encapsulation component has the ability to parse different data formats, including binary format, text format, JSON format, XML format and other data formats, and convert them into a unified data structure predefined by the system for processing by subsequent components or modules. , the unified data structure here includes but is not limited to source code, project value, unit, value range, package ID, star time, device ID, link, data source and other information.

Then, the data encapsulation component converts the situation information data into a unified data structure and encapsulates it into a system-defined data object, such as mapping the original data to the fields, attributes or methods of the unified data structure, and performing type conversion, unit conversion, etc.

Finally, the data encapsulation component also has an appropriate error handling mechanism, which can handle abnormal situations that may occur during the parsing process, such as parsing errors, incomplete data, etc., record error information, mark invalid data, and restore and recover where possible. Report.

2.4 The first component for data verification (data verification component)

The data verification component is mainly responsible for verifying the integrity, legality and correctness of the encapsulated situation information data to ensure the quality and reliability of the data. The verified data will be sent to the data processing module for subsequent processing.

For integrity verification, the continuity and integrity of the data can be verified through data length, frame count and other information, including checking whether there are missing, duplicate or inconsistent parts of the data. For example, verify that data is received in the expected order and ensure that no packets are lost.

For legality verification, check whether the situation information data meets the legality requirements according to predetermined specifications and constraints. This can be achieved by using conditional statements, range checks, regular expressions, etc. For example, verify that parameter values are within expected ranges, check that units are correct, etc.

For correctness verification, the accuracy and correctness of the situation information data are verified by comparing it with expected values or known models. Methods such as mathematical calculations, model matching, and data correlation can be used for verification. For example, comparison with known theoretical models or correlation verification with other sensor measurements.

In some embodiments, the data processing module includes a second component for data filtering, a second component for data fusion, and a second component for parameter transformation;

Through the second component for data screening in each process chain, the portion that meets the first filtering condition is screened out from the situation information of each satellite to be processed as the target situation information; the first filtering condition includes parameters Subscription rules, star time filtering rules and wild value filtering rules;

Through the second component for data fusion in each process chain, data representing the same physical quantity of the same satellite from different data sources are time-aligned and multi-value merged;

Through the second component for parameter conversion in each process chain, the situation information of each satellite to be processed is processed in turn according to the preset aggregation rule, the preset sampling rule and the preset parameter conversion rule to obtain the situation data after parameter conversion.

Specifically, the data processing module includes one or more second components, and the second components are used to perform operations such as data filtering, data fusion, parameter conversion, and data storage.

FIG3 is a schematic diagram of the structure of a data processing module provided in an embodiment of the present invention. As shown in FIG3 , the data processing module includes:

3.1 The second component for data filtering (data filtering component)

The data filtering component is a key component in the data processing module. Its function is to filter data according to a variety of conditions, including parameter subscription filtering, star time filtering, wild value filtering, etc., in order to select data that meets specific requirements. Follow-up processing. At the same time, the data filtering component allows you to control the opening and closing of each filtering function, and allows you to combine multiple filtering conditions to more accurately filter the required data. The flexibility and configurability of the data filtering component enables the system to perform customized data filtering according to different application scenarios and needs, improving system processing efficiency.

Some examples of functions of the data filtering component are as follows:

1) Parameter subscription. Users can set the parameters that need to be subscribed through downstream applications according to their own needs and application scenarios. Users can define parameter subscription rules, including subscribed parameter names, data types, sampling frequencies, etc. These rules are used to specify the specific conditions and requirements for subscribing parameters. It also supports dynamically updating parameter subscription rules, that is, users can modify parameter subscription rules according to changes in needs, including adding new subscriptions, deleting existing subscriptions, or adjusting parameters of existing subscriptions. The filtered subscription parameters are passed to the next component for subsequent processing.

2) Star time filtering: the user pre-defined star time filtering rules are used to filter the data for star time and obtain data that meets the requirements of the star time filtering rules. Star time filtering rules include specific time ranges, star time intervals, ephemeris data, etc. These rules are used to specify the star time requirements required by the data processing module. The star time filtering rules can check whether the data meets the star time rules by comparing the timestamp and ephemeris data of the data. If the timestamp of the data jumps back or is discontinuous, the star time filtering component can mark it as data that does not meet the star time rules and filter it out. This ensures the order and consistency of the star time.

3) Outlier filtering, according to the user-defined outlier filtering rules, which can be the threshold range of user input obtained through the visual interface of the downstream application, and through the system configuration information determined by the system management module, the second component in the data processing module Configure the wild value filtering rule. Data that are judged as wild values include outliers and outliers. Outliers are usually data points that deviate significantly from other data points, which may be due to measurement errors, data transmission errors, or other reasons. Outliers Usually a data point that is significantly different compared to the overall distribution of the data set. The outlier removal component uses appropriate outlier detection algorithms, such as statistical methods, threshold range detection, clustering, etc., to detect and identify outliers based on data characteristics. The outlier removal component can remove outliers or outliers based on predefined removal strategies. A culling strategy can range from simply removing or marking outliers to filling or correcting outliers using interpolation, surrogate values, or other methods. After eliminating outliers, the second component for outlier filtering passes the processed data to the next component for subsequent processing.

3.2 Second Component for Data Fusion (Data Fusion Component)

The data fusion component is a key component in the data processing module. Its function is to process situational information data representing the same physical quantity of the same satellite from different data sources, such as alignment, merging, etc., to generate a more complete and accurate data set. , providing more comprehensive data support for subsequent situation display.

Examples of some functions of the data fusion component are as follows:

1) Data alignment: The data fusion component can align data representing the same physical quantity of the same satellite from different data sources to ensure that data with the same timestamp or time period can be merged into one valid piece of data. The data alignment function calibrates data from different data sources according to configuration rules so that they correspond to time points or time periods of the same time standard on the timeline.

For example, the preset timestamp of the specified data source is used as the benchmark, and the time range that allows alignment is expressed as follows: |t _s -t|≤Δt;

Where _ts represents the timestamp of satellite data from a preset specified data source (reference); t is the timestamp of satellite data from other data sources; Δt is the time range allowed for alignment. If the difference between the timestamp of satellite data from other data sources and the timestamp of satellite data from the reference is within the event range allowed for alignment, then it is determined that the satellite data from these different data sources belong to the same period of time.

In addition, timestamp correction can also be performed on the aligned data, and the timestamps of data from other data sources that have been aligned with the benchmark data source can be modified to the timestamps corresponding to the data of the benchmark data source. At the same time, the data alignment function can correct the timestamp of the data according to a predefined delay or time offset. This is suitable for those situations where the timestamp is offset due to transmission delay or other factors, ensuring that the data is correct on the timeline. Alignment.

2) Data merge

Data merging is a key function in the data fusion component. It is responsible for the merging and conflict resolution of situation information data from different data sources, providing more accurate data support for situation display. Specifically, situation information data from different data sources, or data converted after calculation and processing, may have multiple values representing the same physical quantity of the same satellite. During the data merging process, the data merging component first performs abnormal data Correction, first identify and process possible outliers, outliers and error values, correct them according to predefined rules and algorithms, and correct abnormal data. When there are conflicts or inconsistencies in data from different data sources, the conflict resolution strategy configured by the configuration management component in the system management module is used, such as selecting the value of the preferred data source, performing a weighted average, or applying other rules to resolve the conflict. The merged data is passed to subsequent components after ensuring the consistency of the data format and structure, providing a high-quality data foundation for subsequent data processing.

3.3 The second component for parameter conversion (parameter conversion component)

The parameter conversion component is a second component in the data processing module and has the following main functions: parameter collection and recording, conversion calculation and aggregate sampling.

The following are the functions of the parameter conversion component:

Data aggregation: The parameter conversion component can filter and aggregate situation information data, merging a set of continuous data points with repeated values or minimal differences into one value to reduce the amount and complexity of data. Among them, continuous data discrimination, time window range, difference discrimination, aggregation processing algorithm, etc. can be customized in the configuration management component, and components with different processing logic are registered in the component management component. Aggregation processing includes average aggregation, maximum value aggregation, minimum value aggregation, etc. These algorithms can be selected according to actual needs and data types, and aggregate the data within a certain time window.

Data sampling: The sampling function is similar to aggregation, but there are some differences. Sampling is to select some data points from the data based on certain rules and strategies to reduce the amount and complexity of the data while retaining the representativeness of the data as much as possible. Among them, the sampling rate, time interval, event triggering rules, sampling methods, etc. can be customized in the configuration management module, and components with different processing logics are registered in the process management module. The sampling rate can be dynamically adjusted according to the system's computing power, storage capacity, and real-time requirements to ensure the balance and performance of the system. Sampling methods include sampling by time, sampling by frame number, event-triggered sampling, etc. Choosing a suitable sampling method can make the sampled data more representative.

Collection and recording: The parameter conversion component is responsible for collecting various situation information data required for conversion from different data sources, and integrating multiple data used to represent the same satellite to form a comprehensive parameter set that supports conversion calculations. For example, the satellite ground station provides the conversion of the attitude angle of the same satellite in different coordinate systems. It is necessary to collect the pv value of the payload in a certain coordinate system and the pitch angle, roll angle, and yaw angle in this coordinate system, integrate the collected information, and obtain a complete data record. In addition, the collected parameter data will be saved to a storage medium (such as memory, database, file system, etc.) for subsequent conversion and calculation.

Conversion and calculation: In order to reduce the calculation pressure on the display end, the conversion component can convert and calculate parameters based on the system configuration information determined by the system management component, including numerical calculations, coordinate system conversion, unit conversion, data smoothing or other data processing techniques, to Meet specific application needs or analytical requirements. The parameter conversion component can correct parameter data according to predefined calibration algorithms or calibration rules to correct possible deviations.

3.4 Second component for data storage (data storage component)

The data storage component is a component that persists the data processed by the upstream to facilitate data access, analysis and backtracking, and provides support for the situation playback function. The functions and characteristics of the data storage component are as follows:

Data persistence: The data storage component is responsible for persistent storage of processed data. It can ensure that the data is still available after the system is shut down or restarted, and can save data for a long time to meet the needs of data retention and archiving. When storing data, tags should be established to record various information, including data source, star time, receiving time, receiving station, link type, plan number, circle number, etc. The tag information should be customized according to playback requirements. At the same time, to ensure efficiency, storage can be performed in a separate thread.

Data security: The stored data should be ensured to have good security and reliability. Mechanisms such as data backup, redundant storage and data recovery can be adopted to prevent data loss or damage and ensure data integrity and availability.

Data retrieval: It can provide efficient data retrieval functions, allowing users to quickly access stored data and support various query methods, such as filtering by time range, by keyword, by condition, etc., to meet different data retrieval needs.

Data management: It can facilitate data management, including data storage structure, index management, data partitioning, etc. It can divide, organize and manage data according to the characteristics and usage requirements of the data.

In some embodiments, the data forwarding module is also used to:

By using the third component for data encapsulation and compression in each of the process chains, the status data to be displayed is compressed according to the data compression strategy configured in the plurality of system configuration information;

Through the third component for data distribution in each process chain, the compressed situation data to be displayed is distributed to the downstream applications according to the preset data distribution strategy; the preset data distribution strategy is Multiple components of system configuration information determined by the system management module based on the processing capabilities of downstream applications and the display requirements of downstream applications for situation information;

Through the third component for connection management in each process chain, the connection status with the downstream application is monitored, and based on the connection status, it is determined whether to trigger the abnormal connection processing mechanism.

Specifically, the above-mentioned data forwarding module can not only encapsulate the processed situation data of each satellite to be processed according to the protocol type and transmission method supported by the downstream application, but also perform data caching, encapsulation and compression, transmission, distribution and connection management.

The data forwarding module is the end of the entire processing process and is responsible for encapsulating and forwarding the processed data to business applications, especially the situation display terminal. According to the differences in transmission technologies and protocols supported by downstream applications, the data forwarding module has different implementation forms for interacting with downstream applications, including but not limited to socket communication, message queue, file system interaction, etc. In fact, due to different interaction methods with downstream, different forwarding components can be registered in component management to implement different transmission logic. In process management, appropriate forwarding modules can be selected for the corresponding processing processes to ensure reliable, efficient and safe data transmission. .

Figure 4 is a schematic structural diagram of a data forwarding module provided by an embodiment of the present invention. As shown in Figure 4, it includes: a third component for data caching, encapsulation and compression, transmission, distribution and connection management.

4.1 The third component for data caching (data caching component)

Used to temporarily store data to be transmitted to cope with network connection interruption or transmission delay. After data transmission is resumed, transmission will be resumed from the cache to ensure data integrity and reliability, improve system stability, and reduce data loss. possibility to ensure the continuity of data transmission.

4.2 The third component for data encapsulation and compression (data encapsulation and compression component)

The data to be transmitted is encapsulated and processed according to the protocol type and transmission method supported by the downstream application. The encapsulation format contains the data body and metadata information, such as timestamp, data version number, etc. The use of a unified output format can reduce the format processing workload on the display end and focus more on scene display.

Compression is performed according to the defined compression strategy to reduce the size of transmitted data, reduce network transmission burden, improve data transmission efficiency, save bandwidth resources, and reduce data transmission time. The effect is particularly significant in large data transmission scenarios. Data compression strategy can be configured in the system management module management component selection.

4.3 The third component for data transmission (data transmission component)

Responsible for the specific transmission of data. In this system, the business scenario of the data forwarding module is to provide data to drive situation display for the client. It needs to have the ability to support one-to-many transmission, and needs to have good real-time transmission and connection sustainability. At the same time, due to the large amount of transmitted data and high performance requirements, WebSocket connections are maintained for a long time, avoiding the overhead of frequently establishing and disconnecting connections, and reducing the burden on the server. To sum up, this system uses Websocket communication based on netty.

4.4 The third component for data distribution (data distribution component)

Different data distribution strategies are formulated based on the characteristics and processing capabilities of the data receiving end. For example, you can choose broadcast, unicast, multicast, etc. for data transmission. According to different application scenarios and equipment requirements, the data transmission method can be flexibly controlled to maximize data transmission efficiency and adaptability.

4.5 The third component for connection management (connection management component)

Responsible for managing the connection with downstream applications and monitoring the connection status. The connection between the connection management component and the downstream application can be represented as a connection URI, which contains the data source type, client identifier, channel number, etc. When a new downstream application connects to this system, the connection needs to be registered and a unique ID is assigned based on the information in the URI to identify the session for subsequent management and maintenance. Continuously monitor the connection status. When the downstream application actively disconnects or disconnects due to network problems, corresponding resource release and connection removal operations need to be performed. When encountering connection anomalies, such as network fluctuations or connection timeouts, an exception handling mechanism should be in place, such as triggering reconnection or error handling logic.

Furthermore, in order to detect the health status of the connection, a heartbeat mechanism can be used to periodically send heartbeat packets to downstream applications, and determine whether the connection is still valid based on the response to the heartbeat packet. If a large number of concurrent connections need to be processed, a connection pool can be used to optimize resource utilization, pre-create some connections in the connection pool, and allocate these connections when needed, reducing the overhead of frequently creating and destroying connections.

The actual data forwarding module may be adjusted and expanded based on application needs and technical requirements. The above examples are only a reference for common components. Specific situations require detailed design based on actual development and application scenarios.

In some embodiments, the above process chain is an asynchronous responsibility chain designed using the responsibility chain design pattern, that is, any component in the process chain does not need to complete the same task before processing the next task. Each component can process task A. After the result is forwarded to the next component, the data of the next task B continues to be processed. To improve throughput and processing efficiency, each component is equipped with a corresponding queue to receive the processing results of the previous component, and asynchronous processing operations are implemented through multi-threading or asynchronous framework. After each component node processes the data, it passes the processing results to the next component node and triggers the execution of the next component until all processing work is completed. Using the asynchronous responsibility chain design method, the tasks of the data processing module are executed asynchronously, which improves throughput and processing efficiency, makes full use of system resources, reduces task waiting time, and processes multiple tasks concurrently to speed up the execution of the entire data processing process. speed.

In some embodiments, the system management module includes a process management component, a configuration management component and a component management component;

The process management component is used to configure the corresponding relationship between each of the process chains and the situation information of each satellite to be processed, as the first system configuration information;

The configuration management component is used to configure various functional parameters of a plurality of the target components included in the process chain as the second system configuration information;

The component management component is configured to register and generate each of the target components included in each of the process chains based on the first system configuration information and the second system configuration information, and build a link between each of the target components. sequence relationship.

Specifically, the processing flow of the system management module is shown in FIG5 , including:

S01, define the process chain of situation information data processing in the process management component, including each functional component in the process chain and its position and sequence;

S02, configuration management sets the relevant configuration information of each registered functional component or uses default parameters, and supports dynamically updating component configuration parameters when the process is running;

S03, component management will register each component contained in it based on the process chain configuration information defined by process management and the functional component parameter information configured in configuration management, connect the components, and inject the configuration at the same time;

S04, generate a data processing process chain and start data processing and circulation.

In some embodiments, the system management module includes a process management component, which is used to:

Configure the corresponding relationship between each process chain and the situation information of each satellite to be processed;

Adjusting a plurality of target components included in each of said process chains.

Specifically, the system management module includes a process management component, a configuration management component, and a component management component; wherein the process management component is responsible for defining the process chain for processing situation information data. Specifically, it allows users to customize the functional components used in the data receiving, processing, and forwarding modules, and specify the position and order of each functional component in the process chain. The functional components are the first component of the data receiving module, the second component of the data processing module, and the third component of the data forwarding module.

The following is an example of functionality provided by a process management component:

Process configuration: When configuring the processing process, the user can drag and drop to connect different functional components through the graphical user interface, or it can be specified through a configuration file. Either way, the final system configuration information includes the process chain ID, the components included in the process chain, the location of the components in the process chain, and the satellite/payload collection that the process chain is responsible for processing. Users can assign different process chains to different satellites/payloads as needed, or assign satellite payload data with the same processing steps to the same process chain.

Process adjustment: Allow users to return to the process management interface at any time while the system is running to adjust and optimize the process. Each functional component initializes a separate processing queue and pointer when registering. For the connection between components, you only need to point to the pointer of the component defined in the system configuration information. Specifically, according to the system configuration information, point the component pointer to the next component in the process chain. Each component is only responsible for placing the data in the queue. After the elements are taken out and processed, they are put into the next component queue to ensure the sequential flow of data in the processing process chain. The combination of queue and pointer allows users to conveniently and flexibly adjust the position of the component in the process chain by providing an interface for modifying the pointer of the component.

Configuration information persistence: The configured data processing process chain information is persisted and saved, such as in a database, file system, etc., to avoid the trouble of reconfiguration when the system is restarted.

Process start and stop: mainly includes registering, starting and stopping the processing process according to the provided system configuration information. Process registration and start is essentially to call component management to register and call the components in the process configuration, and process stop is to call component management to destroy the components registered in the process chain. Because the core logic of component implementation is to continuously receive input data and output the results after processing, each component will keep running after instantiation until it is destroyed.

Through the process management component, users can flexibly configure data processing processes according to task scenarios to meet users' personalized customization needs, and also enable the situation information processing system to adapt to various application scenarios and processing requirements.

In some embodiments, the system management module further includes a configuration management component, wherein the configuration management component is configured to:

Configuring various parameters of multiple target components included in each process chain;

Updating various parameters of a plurality of target components included in each of the process chains;

Manage the multiple system configuration information of different versions;

Import and export system configuration information.

Specifically, the system management module includes a process management component, a configuration management component, and a component management component; among them, the configuration management component is responsible for parameter setting and customization of each functional component, allowing dynamic updating of configuration parameters and policies. In terms of implementation, each component has its own configuration class that records configuration information. After the component is instantiated, the Spring container automatically injects the dependent components into the target component. When modifying the configuration, you only need to get the configuration class from the container and modify it. An example of the functionality of a configuration management component is as follows:

Component parameter setting: Set relevant parameters for each functional component. These parameters may include initialization parameters, runtime configuration, switches for specific behaviors, etc. Appropriate parameter values can be set according to the component's functions and requirements to adjust the component's behavior and performance.

Parameter types and verification: The component configuration function should support different types of parameters, such as integers, floating point numbers, strings, etc., and verify the validity of the parameters. When users enter parameters, the system should ensure the correctness and legality of the parameters to avoid illegal parameters causing system errors.

Parameter default values: For some parameters, the system can provide default values so that when specific parameters are not set, preset default values can be used for component configuration. This can simplify the configuration process and reduce the user's configuration work.

Dynamic parameter update: The component configuration function should support dynamically updating the parameters of the component while the system is running. Parameter configurations can be modified during system operation without restarting the system, allowing the system to respond to different configuration requirements in real time.

Component status monitoring: Provides component status monitoring function, allowing users to view the current configuration and parameter values of the component, as well as the component's running status and performance indicators.

Parameter version management: The configuration function can support saving different versions of parameter configurations, allowing users to perform version management of parameter configurations, making it easy to switch to different configuration schemes when needed, or roll back to the previous configuration state. It can be understood as the parameter information of historical configuration and the parameter information of current configuration. You can switch between the parameter information of historical configuration and the parameter information of current configuration.

Parameter import and export: The configuration function should support the import and export function of parameters, allowing users to save parameter configurations to files or import parameter configurations from files to facilitate batch processing and configuration reuse.

Through the component configuration function, users can flexibly configure parameters for each functional component in the system according to actual needs, thereby achieving personalized customization and optimization of components to meet the requirements of different business scenarios. Such functions make the system more flexible, scalable and adaptable, and provide users with better user experience and services.

The component management component of the system management module is responsible for the registration, dependency injection and life cycle management of each functional component. Spring's IoC container and dependency injection mechanism make component management and coordination very simple, and the AOP feature also provides more flexibility and maintainability for component management. Through Spring's dynamic loading mechanism, components can be dynamically adjusted according to the actual needs of the system, making the system more flexible and scalable. Therefore, based on the Spring framework, using the factory design pattern and reflection proxy technology, the functions of the component management component are as follows:

Component registration and instantiation: Component registration is responsible for registering and instantiating the components selected in the process configuration information. The system can encapsulate various general or special functions and publish them in the form of components. Users only need to specify the component ID in the process configuration, and the component can be instantiated through reflection during process initialization. In terms of specific implementation, component registration and instantiation can be handed over to the Spring container. Component registration can be achieved through various methods such as configuring XML files and annotations. After the component is registered, the Spring container will instantiate the component when needed based on the configuration information. The instantiation process is controlled by the Spring container and occurs when the Spring application starts. During the instantiation process, the Spring container uses technologies such as reflection to instantiate components and handle dependencies between components. If there are dependencies between components, such as the configuration of functional component dependencies, the Spring container will automatically perform dependency injection and inject the dependent components into the target component.

Component lifecycle management: Lifecycle management refers to the management of various stages of components such as instantiation, property assignment, initialization, use and destruction during the operation of the application. In the Spring container, the component lifecycle is automatically managed by the Spring container, and developers can intervene and customize the component lifecycle through specific callback methods. It is worth mentioning that the configuration parameters and strategies required by the component in the property assignment stage are implemented through configuration management in the form of dependency injection, and the resource release operation can be performed by calling the destruction callback method in the destruction stage.

The multi-satellite situation information processing system provided by the present invention determines multiple system configuration information based on the downstream display requirements for situation information and the characteristics of the satellite data downloaded by each satellite after being processed by the received satellite ground station, and based on these multiple System configuration information initializes the target components involved in each process chain; through the first component involved in each process chain, the data structure converted from satellite data is used as standard situation data; through the second component involved in each process chain, the standard situation The data undergoes data screening, data fusion and parameter conversion to obtain processed situation data, which is encapsulated by the third component in the data forwarding module according to the protocol and transmission method supported by the downstream application, and then forwarded to the downstream application for display. The invention processes data from multiple different satellites and flexibly configures the entire data processing process according to display requirements, which can significantly improve the flexibility, efficiency and accuracy of multi-satellite situation information data processing. It provides more powerful data processing capabilities for satellite situation display and decision-making, allowing users to better utilize the data resources of multi-satellite satellite networks to achieve more accurate and real-time monitoring and decision support.

Figure 6 is a schematic flowchart of a multi-satellite situation information process organization method provided by an embodiment of the present invention. As shown in Figure 6, this method is applied to the multi-satellite situation information processing system provided by the present invention. The method includes:

Step 601: Receive the satellite data downloaded from each satellite processed by the satellite ground station as the situation information of each satellite to be processed;

Step 602: Obtain the user's display requirements for situation information;

Step 603: Based on the user's display requirements for situation information and the situation information of each satellite to be processed, and based on pre-developed components, the components are connected in series according to business requirements to implement process orchestration and determine multiple system configurations information; the multiple system configuration information includes the correspondence between each process chain and the situation information of each satellite to be processed, as well as various parameters of each of the process chains; the process chain includes multiple target components, so The target component is any one or a combination of the first component of the data receiving module, the second component of the data processing module, and the third component of the data forwarding module;

Step 604: Initialize each target process chain based on the plurality of system configuration information; the target process chain is any one of the process chains included in the system configuration information;

Step 605: Based on the multiple target components included in each target process chain, convert the situation information of each satellite to be processed into a data structure, and perform any or a combination of data reception, data processing, and data forwarding. After processing, it is sent to each of the downstream applications.

Specifically, when the situation information of multiple satellites adopts different data structures, the multi-satellite situation information processing system provided by the present invention can process the data of multiple different satellites through system management configuration, and flexibly configure the entire process of data processing according to display requirements, which can significantly improve the flexibility, efficiency and accuracy of multi-satellite situation information data processing. It provides more powerful data processing capabilities for satellite situation display and decision-making, allowing users to better utilize the data resources of the multi-satellite network and achieve more accurate and real-time monitoring and decision support.

The multi-satellite situation information process organization method provided in the embodiment of the present invention can realize all the operations realized by the above-mentioned multi-satellite situation information processing system embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as those in the method embodiment will not be described in detail here.

On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are read by a computer, When executed, the computer can execute the industrial network clock synchronization method provided by each of the above methods. The method includes:

Receive satellite data transmitted by each satellite after being processed by the satellite ground station as the situation information of each satellite to be processed;

Obtain the user's demand for display of situation information;

Based on the user's display requirements for situation information and the situation information of each satellite to be processed, and based on pre-developed components, each component is connected in series according to business requirements to implement process orchestration and determine multiple system configuration information; The plurality of system configuration information includes a correspondence between each process chain and the situation information of each satellite to be processed, as well as various parameters of each of the process chains; the process chain includes a plurality of target components, and the target component It is any one or a combination of the first component of the data receiving module, the second component of the data processing module and the third component of the data forwarding module;

Initializing each target process chain based on the plurality of system configuration information; the target process chain is any one of the process chains included in the system configuration information;

Based on the multiple target components included in each of the target process chains, the situation information of each satellite to be processed is converted into a data structure, and any one or combination of data reception, data processing and data forwarding is performed, Sent to each of the downstream applications.

In another aspect, the present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. The computer program is implemented when executed by a processor to execute the above-mentioned multi-satellite situation information flow organization method.

Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM/RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be used Modifications are made to the technical solutions described in the foregoing embodiments, or equivalent substitutions are made to some of the technical features; however, these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A multi-satellite situation information processing system, characterized in that it includes a system management module, a data receiving module, a data processing module and a data forwarding module; The system management module is used to determine a plurality of system configuration information based on the user's demand for displaying situation information and the situation information of each satellite to be processed; the plurality of system configuration information includes a correspondence between each process chain and the situation information of each satellite to be processed, and various parameters of each process chain; the process chain includes a plurality of target components, and the target component is any one or a combination of the first component of the data receiving module, the second component of the data processing module, and the third component of the data forwarding module; The data receiving module is configured to encapsulate the situation information of each satellite to be processed received by the first component in each of the process chains into a data structure based on the plurality of system configuration information, as standard situation data; The data processing module is used to perform data screening, data fusion and parameter conversion on the standard data through the second component in each of the process chains based on the multiple system configuration information and according to the display requirements to obtain processing Post-situation data is sent to the data forwarding module; The data forwarding module is configured to encapsulate the processed situation data based on the plurality of system configuration information, through the third component in each process chain, and according to the protocol type and transmission mode supported by the downstream application, Obtain the situation data to be displayed and forward it to different downstream applications. 2. The multi-satellite situation information processing system according to claim 1, characterized in that the system management module is also used to register and generate each of the processes included in each process chain based on the multiple system configuration information. The target component constructs the sequence relationship between each of the target components. 3. The multi-satellite situation information processing system according to claim 1, characterized in that the data receiving module is also used to: Selecting and receiving the situation information of each satellite to be processed from different data sources through the first component for data source selection in each process chain; the selection conditions of the different data sources include satellite identification, payload, downlink mode and delay; The integrity, legality and correctness of the standard situation data are verified through the first component for data verification in each process chain. 4. The multi-satellite situation information processing system according to claim 1, characterized in that the data processing module comprises a second component for data screening, a second component for data fusion and a second component for parameter conversion; Through the second component for data screening in each process chain, the portion that meets the first filtering condition is screened out from the situation information of each satellite to be processed as the target situation information; the first filtering condition includes parameters Subscription rules, star time filtering rules and wild value filtering rules; Through the second component for data fusion in each process chain, data representing the same physical quantity of the same satellite from different data sources are time-aligned and multi-value merged; Through the second component for parameter conversion in each process chain, the situation information of each satellite to be processed is sequentially processed according to the preset aggregation rules, the preset sampling rules and the preset parameter conversion rules. Process to obtain the situation data after parameter conversion. 5. The multi-satellite situation information processing system according to claim 4 is characterized in that the preset aggregation rules include continuous data discrimination indicators, time windows, difference discrimination indicators and selected aggregation algorithms; the preset sampling rules include sampling rate, sampling time interval, event triggering rules and sampling algorithms; the preset parameter conversion rules are used to convert the situation information of each satellite to be processed according to the reference coordinate system supported by the downstream application and the reference units of each physical quantity. 6. The multi-satellite situation information processing system according to claim 1, characterized in that the data forwarding module is also used to: Through the third component used for data encapsulation and compression in each process chain, the situation data to be displayed is compressed according to the data compression strategy configured in the multiple system configuration information; Through the third component for data distribution in each process chain, the compressed situation data to be displayed is distributed to the downstream applications according to the preset data distribution strategy; the preset data distribution strategy is Multiple components of system configuration information determined by the system management module based on the processing capabilities of downstream applications and the user's display requirements for situation information; Through the third component for connection management in each process chain, the connection status with the downstream application is monitored, and based on the connection status, it is determined whether to trigger the abnormal connection processing mechanism. 7. The multi-satellite situation information processing system according to claim 1, characterized in that the process chain is an asynchronous responsibility chain designed using a responsibility chain design pattern. 8. The multi-satellite situation information processing system according to claim 1, characterized in that the system management module includes a process management component, and the process management component is used for: Configure the correspondence between each process chain and the situation information of each satellite to be processed; Adjusting a plurality of target components included in each of said process chains. 9. The multi-satellite situation information processing system according to claim 8, characterized in that the system management module further includes a configuration management component, and the configuration management component is used for: Configuring various parameters of a plurality of target components included in each of the process chains; Updating various parameters of a plurality of target components included in each of the process chains; Manage the multiple system configuration information of different versions; Import and export system configuration information. 10. A multi-satellite situation information process organization method, characterized in that it is applied to the multi-satellite situation information processing system according to any one of claims 1 to 9, and the method includes: Receive satellite data downloaded from each satellite processed by the satellite ground station as situation information of each satellite to be processed; Obtain users’ display requirements for situation information; Based on the user's display requirements for situation information and the situation information of each satellite to be processed, and based on pre-developed components, each component is connected in series according to business requirements to implement process orchestration and determine multiple system configuration information; The plurality of system configuration information includes a correspondence between each process chain and the situation information of each satellite to be processed, as well as various parameters of each of the process chains; the process chain includes a plurality of target components, and the target component It is any one or a combination of the first component of the data receiving module, the second component of the data processing module and the third component of the data forwarding module; Initializing each target process chain based on the plurality of system configuration information; the target process chain is any one of the process chains included in the system configuration information; Based on the multiple target components included in each of the target process chains, the situation information of each satellite to be processed is converted into a data structure, and any one or combination of data reception, data processing and data forwarding is performed, Sent to each of the downstream applications.