Space-based microtask application system and method giving consideration to monitoring of various ecological environments

Abstract

The invention provides a space-based microtask application system and method giving consideration to multi-class ecological environment monitoring, and the system comprises a task planning module which is used for designing single / multi-satellite cooperation logic according to the top task demands of an interpreted user, and arranging a task rule; the model design module is used for designing, selecting and compressing a preprocessing model, a region detection model, a region segmentation model and the like required by on-orbit processing, and carrying out structured packaging; the model deployment module is used for performing parameter setting and embedded deployment on satellite load parameters, a preprocessing model and various models subjected to on-orbit processing according to the uploaded microtasks; the microtask execution module is used for receiving load data according to microtask requirements, caching the load data and preprocessing the cached load data according to setting of the model efficient deployment module. According to the invention, the task execution efficiency and the use efficiency of the whole satellite and ground station network system are maximized while the high time efficiency of various space-based ecological environment monitoring tasks is satisfied.

Description

Technical Field

[0001] The present invention belongs to the field of space-based system operation management and application, and in particular relates to a space-based micro-task application system and method that takes into account multiple types of ecological environment monitoring. Background Art

[0002] With the rapid development of the economy and the rapid advancement of urbanization, ecological and environmental issues have become one of the important factors restricting the healthy and sustainable development of China's economy. At present, the capabilities of space-based systems are becoming stronger and stronger, and the number of satellites is increasing. Facing the new era's "high-precision, full coverage, and short-cycle" three-dimensional ecological and environmental detection needs, the traditional customized service model for a single task has been difficult to meet the requirements of high timeliness. In this case, how to efficiently link satellite resources with various types of ecological and environmental monitoring needs, taking into account both the utilization rate of space resources and the satisfaction of high-time ecological and environmental monitoring tasks, has become a top priority in the current aerospace and remote sensing application fields.

[0003] However, there are the following problems in ecological environment monitoring:

[0004] (1) Ecological and environmental monitoring tasks are diverse and it is difficult to meet multiple needs with a single algorithm or model;

[0005] (2) Ecological and environmental monitoring has increasingly higher requirements for timeliness, and traditional customized response processes are difficult to meet timeliness requirements;

[0006] (3) The satellite and ground station network resources required for ecological and environmental monitoring are too complex, and the coordination and communication costs are too high; Summary of the invention

[0007] At least one purpose of the present application is to provide a space-based micro-task application system and method that takes into account multiple types of ecological environment monitoring, which can integrate the management and control of satellite and ground resources, realize high-timeliness environmental monitoring, and solve the problem that it is difficult to realize ecological environment monitoring with high timeliness and low cost.

[0008] In order to achieve the above-mentioned purpose, according to one aspect of the present invention, a space-based micro-task application system that takes into account multiple types of ecological environment monitoring is provided. The space-based micro-task service system includes: a task planning module, the task planning module includes a task rule design submodule and a single-satellite / multi-satellite collaborative logic design submodule. The task rule design submodule designs task rules and arranges task timing according to the task requirements of the satellite system and the ground station network system. The task rule design submodule and the single-satellite / multi-satellite collaborative logic design submodule jointly parse the task requirements into preset tasks that can be accepted by the satellite system and the ground station network system. When the preset task involves the coordinated work of multiple satellites, the single-satellite / multi-satellite collaborative logic design submodule decomposes the satellite system requirements into preset tasks that can be accepted by the satellite system and the ground station network system. The solution is the preset tasks that each satellite can accept, and the satellites include remote sensing satellites; the model design module, the model design module includes a preprocessing algorithm design submodule, a model selection submodule, a model quantization compression submodule and a model structured encapsulation submodule. The preprocessing algorithm design submodule selects appropriate algorithms from the preprocessing algorithm library for adaptive combination according to task requirements to generate a preprocessing algorithm group. The model selection submodule selects an existing model from the model library according to task requirements, performs task adaptability fine-tuning on it, and generates a processing model group. The model quantization compression submodule is used to quantize and compress the preprocessing algorithm group and the processing model group according to hardware information to obtain a quantized compressed algorithm group. The hardware information includes the satellite's on-orbit deployment status. The model structured encapsulation submodule encapsulates the preset tasks and the quantized compressed algorithm group into microtasks that can be received and executed by each satellite and ground station network system. The size of the microtask is 10 to 30 kbit. The microtask includes remote sensing imaging microtasks. The model deployment module includes a payload parameter setting submodule, a preprocessing parameter setting submodule and a structured model on-orbit embedded deployment submodule. The model deployment module is set on each satellite. The payload parameter setting submodule sets the satellite's payload parameters according to the microtask. The preprocessing parameter setting submodule sets the preprocessing parameters according to the microtask. The structured model on-orbit embedded deployment submodule embeds the model in the processing logic according to the microtask; the microtask execution module includes a storage submodule, a preprocessing parameter setting submodule, and a structured model on-orbit embedded deployment submodule. The cache payload data submodule, the cache payload data preprocessing submodule, the structured model on-orbit processing submodule and the on-orbit processing result generation submodule, and the microtask execution module are set on each satellite. The cache payload data submodule uses the microtask model to search the task area and execute microtasks. The cache payload data preprocessing submodule, the structured model on-orbit processing submodule and the on-orbit processing result generation submodule jointly call the preprocessing algorithm and the processing model to process the payload data according to the payload parameters, and the preprocessed data is processed using the structured model, the on-orbit processing results of the payload required by the microtask are extracted, and the results are encapsulated into narrowband data. The size of the narrowband data is 10kByte to 50kByte.

[0009] Furthermore, the above-mentioned space-based microtask service system also includes a microtask injection module, which includes a microtask injection satellite submodule, a satellite executable confirmation submodule and a microtask parsing submodule. The microtask injection satellite submodule sends the microtask to the ground station network, and after parsing and executing the ground station network microtask, injects the satellite microtask to each satellite. The satellite executable confirmation submodule is deployed on the satellite and is used to determine the executable nature of the satellite microtask. The microtask parsing submodule, when the satellite executable confirmation submodule determines that the satellite microtask is executable, parses the satellite microtask into a payload instruction template, a preprocessing instruction template and a to-be-deployed model that can be executed by each satellite subsystem.

[0010] Furthermore, the above-mentioned payload parameter setting submodule sets the payload parameters of the satellite according to the instruction template, the preprocessing parameter setting submodule sets the preprocessing parameters according to the preprocessing instruction template, and the structured model on-orbit embedded deployment submodule embeds the model to be deployed in the processing logic according to the microtask.

[0011] Furthermore, the above-mentioned space-based micro-task service system also includes a satellite-to-ground resource monitoring and synchronization module, which includes a satellite status synchronization submodule, a satellite mission synchronization submodule and a satellite-to-ground resource estimation submodule. The satellite status synchronization submodule, the satellite mission synchronization submodule and the satellite-to-ground resource estimation submodule jointly and continuously perform satellite system and ground station network system resource monitoring and status synchronization, obtain the latest status of available satellite systems and ground station network systems, and provide a basis for subsequent task planning.

[0012] Furthermore, the above-mentioned space-based micro-task service system also includes a task requirement analysis module, which includes a satellite requirement translation submodule, a task feasibility analysis submodule, and a task failure plan design submodule. The satellite requirement translation submodule translates the task requirements into task requirements for the satellite system, task requirements for the ground station network system, and task requirements for timeliness; the task feasibility analysis submodule evaluates the translated task requirements for the satellite system, task requirements for the ground station network system, and task requirements for timeliness based on the latest status of the available satellite system and ground station network system, and gives qualitative and quantitative conclusions on the feasibility; the mission failure plan design submodule designs emergency plans and failure plans for the satellite system and ground station network system based on the feasibility analysis.

[0013] According to another aspect of the present invention, a space-based micro-task application method for taking into account multiple types of ecological environment monitoring is provided, wherein the space-based micro-task service method includes: step S3, task planning, including: step S31, designing task rules and arranging task timing according to the task requirements of the satellite system and the ground station network system, step S32, parsing the task requirements into preset tasks that can be accepted by the satellite system and the ground station network system, step S33, when the preset task involves the coordinated work of multiple satellites, the single-star / multi-star collaborative logic design submodule disassembles the satellite system requirements into preset tasks that can be accepted by each satellite, and the satellites include remote sensing satellites; step S5, model design, including: step S51, according to the task requirements, selecting a suitable algorithm from the preprocessing algorithm library for adaptive combination to generate a preprocessing algorithm group, step S52, according to the task requirements, selecting an existing model from the model library, performing task adaptability fine-tuning on it, and generating a processing model group, step S53, quantizing and compressing the preprocessing algorithm group and the processing model group according to hardware information to obtain quantized compressed The compressed algorithm group, the hardware information includes the satellite on-orbit deployment status, step S54, encapsulates the preset task and the quantized compressed algorithm group into microtasks that can be received and executed by each satellite and ground station network system, the microtask size is 10 to 30 kbit, and the microtask includes a remote sensing imaging microtask, step S7, model deployment, the model deployment step is performed on the satellite, including: step S71, setting the satellite's payload parameters according to the microtask, step S72, setting the preprocessing parameters according to the microtask, step S73, embedding the model in the processing logic according to the microtask; step S9, microtask execution, the microtask execution step is performed on the satellite, including: step S91, using the microtask model to search the task area, execute the microtask, step S92, according to the payload parameters, call the preprocessing algorithm and the processing model to process the payload data, use the structured model to process the preprocessed data, extract the payload on-orbit processing results required by the microtask, and encapsulate the results into narrowband data, the size of the narrowband data is 10 kByte to 50 kByte.

[0014] Furthermore, the above-mentioned space-based microtask service method also includes step S6 between step S5 and step S7, microtask annotation, including, step S61, sending the microtask to the ground station network, parsing and executing the ground station network microtask, and then annotating the satellite microtask to each satellite, step S62, on the satellite, executing the step of determining the executableness of the satellite microtask, step S63, when determining that the satellite microtask is executable, parsing the satellite microtask into a payload instruction template, a preprocessing instruction template and a model to be deployed that can be executed by each satellite subsystem.

[0015] Furthermore, the above step S7 includes: step S71', setting the payload parameters of the satellite according to the instruction template, step S72', setting the preprocessing parameters according to the preprocessing instruction template, and step S73', embedding the model to be deployed in the processing logic according to the microtask.

[0016] Furthermore, the above-mentioned space-based micro-task service method also includes step S1 before step S3, ground resource monitoring and synchronization, including: continuously performing satellite system and ground station network system resource monitoring and status synchronization, obtaining the latest status of available satellite systems and ground station network systems, and providing a basis for subsequent task planning.

[0017] Furthermore, the above-mentioned space-based micro-task service method also includes step S2 after step S1 and before step S3, task requirement analysis, including: step S21, translating the task requirements into task requirements for the satellite system, task requirements for the ground station network system and task requirements for timeliness; step S22, based on the latest status of the available satellite system and ground station network system, evaluating the translated task requirements for the satellite system, task requirements for the ground station network system and task requirements for timeliness, and giving qualitative and quantitative conclusions on the feasibility; step S23, designing emergency plans and failure plans for the satellite system and ground station network system based on the feasibility analysis.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] The space-based micro-task application system and method for multi-type ecological environment monitoring provided by the present invention solves the problem of matching ecological environment demand with satellite and ground resources and efficient scheduling, and maximizes the task execution efficiency, utilization efficiency, and response efficiency of the entire satellite and ground station network system while meeting the high time efficiency of multi-type space-based ecological environment monitoring tasks. And users only need to pay attention to the two interfaces of task proposal and data application to complete the task closed loop of task issuance and result feedback. Users only need to focus on the investigation itself, without paying attention to the underlying original sensor data processing and the complex satellite and station network resource scheduling process. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The following will further explain the above characteristics, technical features, advantages and implementation methods of the present application in a clear and understandable manner through the description of the preferred embodiments and in combination with the accompanying drawings. The following drawings are only intended to illustrate and explain the present application, and do not limit the scope of the present application. Among them:

[0021] Figure 1 A schematic diagram of the composition of a space-based micro-task application system for monitoring multiple types of ecological environments in one embodiment of the present invention is shown;

[0022] Figure 2A schematic diagram of the operation flow of a space-based micro-task application system for monitoring multiple types of ecological environments in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0023] In order to have a clearer understanding of the technical features, purposes and effects of the present application, the specific implementation methods of the present application are now described with reference to the accompanying drawings.

[0024] According to the background technology of this application, it is difficult to realize ecological environment monitoring with high timeliness and low cost in the prior art. In order to solve the above problem, this application provides a space-based micro-task application system and method that takes into account multiple types of ecological environment monitoring.

[0025] In a typical implementation of the present application, Figure 1As shown, a space-based micro-task application system that takes into account multiple types of ecological environment monitoring is provided. The space-based micro-task service system includes: a task planning module, which includes a task rule design submodule and a single-satellite / multi-satellite collaborative logic design submodule. The task rule design submodule designs task rules and arranges task timing according to the task requirements of the satellite system and the ground station network system. The task rule design submodule and the single-satellite / multi-satellite collaborative logic design submodule jointly parse the task requirements into preset tasks that can be accepted by the satellite system and the ground station network system. When the preset task involves the coordinated work of multiple satellites, the single-satellite / multi-satellite collaborative logic design submodule disassembles the satellite system requirements into preset tasks that can be accepted by each satellite. mission, the satellite includes a remote sensing satellite; a model design module, the model design module includes a preprocessing algorithm design submodule, a model selection submodule, a model quantization compression submodule and a model structured packaging submodule. The preprocessing algorithm design submodule selects appropriate algorithms from the preprocessing algorithm library for adaptive combination according to the mission requirements to generate a preprocessing algorithm group. The model selection submodule selects an existing model from the model library according to the mission requirements, performs task adaptability fine-tuning on it, and generates a processing model group. The model quantization compression submodule is used to quantize and compress the preprocessing algorithm group and the processing model group according to the hardware information to obtain a quantized compressed algorithm group. The hardware information includes the satellite's on-orbit deployment status. The model structured packaging submodule The module encapsulates the preset tasks and the quantized compressed algorithm group into microtasks that can be received and executed by each satellite and ground station network system. The size of the microtask is 10 to 30 kbit. The microtask includes remote sensing imaging microtasks, model deployment module, including payload parameter setting submodule, preprocessing parameter setting submodule and structured model on-orbit embedded deployment submodule. The model deployment module is set on each satellite. The payload parameter setting submodule sets the payload parameters of the satellite according to the microtask. The preprocessing parameter setting submodule sets the preprocessing parameters according to the microtask. The structured model on-orbit embedded deployment submodule embeds the model in the processing logic according to the microtask; microtask execution module, the microtask execution module includes a persistent cache payload data The microtask execution module is set on each satellite, the cached payload data submodule uses the microtask model to search the task area and execute the microtask. The cached payload data preprocessing submodule, the structured model on-orbit processing submodule and the on-orbit processing result generation submodule jointly call the preprocessing algorithm and the processing model to process the payload data according to the payload parameters, and the preprocessed data is processed using the structured model to extract the on-orbit processing results of the payload required by the microtask, and encapsulate the results into narrowband data. The size of the narrowband data is 10kByte to 50kByte.

[0026] The task planning module of this application is used to design single / multi-satellite coordination logic according to the top-level task requirements of users after interpretation, arrange task rules, customize the calling task format according to user requirements and encapsulate microtasks; it is used to comprehensively summarize, dynamically group and make medium- and short-term estimates of the resources of each satellite and ground station network, and evaluate the feasibility and timeliness of task execution. In addition, the model design module connects the entire process from task initiation to data feedback through microtasks, and all the demand baselines of the entire process are microtasks.

[0027] The model design module is used to design, select and compress the preprocessing models and regional detection, regional segmentation and other models required for on-orbit processing, and perform structured packaging. It iterative training and updating of preprocessing models, regional detection, regional segmentation and other models are performed based on historical data obtained from historical microtasks. The system can expand the search and evidence collection scope of the task according to the situation of the microtask, trigger more concentrated or more frequent imaging, and retrain the model in real time based on the feedback results. In addition, micro-models and micro-tasks can be customized according to the needs of various ecological and environmental monitoring, and quickly integrated and comprehensively scheduled.

[0028] The model deployment module is used to set parameters and perform embedded deployment of satellite payload parameters, preprocessing models, and various models for on-orbit processing according to the registered microtasks, and to confirm the on-orbit execution conditions of the microtasks through the efficient deployment module.

[0029] The microtask execution module is used to receive payload data according to the requirements of the microtask, cache the payload data, pre-process the cached payload data according to the settings of the model efficient deployment module, process the pre-processed data using a structured model, extract the on-orbit processing results of the payload required by the microtask, and encapsulate the results into narrowband data. It can achieve 30-minute ecological environment monitoring task response and microtask narrowband data download.

[0030] In one embodiment, the above-mentioned space-based microtask service system also includes a microtask injection module, which includes a microtask injection satellite submodule, a satellite executable confirmation submodule and a microtask analysis submodule. The microtask injection satellite submodule sends the microtask to the ground station network, and after parsing and executing the ground station network microtask, the satellite microtask is injected to each satellite. The satellite executable confirmation submodule is deployed on the satellite to determine the executableness of the satellite microtask. The microtask analysis submodule, when the satellite executable confirmation submodule determines that the satellite microtask is executable, parses the satellite microtask into a payload instruction template, a preprocessing instruction template and a to-be-deployed model that can be executed by each satellite subsystem. The microtask injection module enables the system to enhance the ability to inject the encapsulated microtask and structured model into the satellite and perform executable confirmation. The microtask injection module has the ability to inject microtasks into remote sensing satellites, confirm the executableness of remote sensing satellites, and analyze microtasks.

[0031] In one embodiment, the above-mentioned payload parameter setting submodule sets the payload parameters of the satellite according to the instruction template, the preprocessing parameter setting submodule sets the preprocessing parameters according to the preprocessing instruction template, and the structured model on-orbit embedded deployment submodule embeds the model to be deployed in the processing logic according to the microtask.

[0032] In one embodiment, the above-mentioned space-based micro-task service system also includes a satellite-to-ground resource monitoring and synchronization module, which includes a satellite status synchronization submodule, a satellite mission synchronization submodule and a satellite-to-ground resource estimation submodule. The satellite status synchronization submodule, the satellite mission synchronization submodule and the satellite-to-ground resource estimation submodule jointly continuously monitor and synchronize the satellite system and ground station network system resources, obtain the latest status of the usable satellite system and ground station network system, and provide a basis for subsequent task planning. The satellite-to-ground resource monitoring and synchronization module enables the system to enhance real-time monitoring of various satellite and ground resources. The satellite resource monitoring and synchronization module has the ability to synchronize the status of each schedulable satellite resource, synchronize each schedulable satellite mission, synchronize the status of the ground station network resources, and estimate satellite and ground resources.

[0033] In one embodiment, the above-mentioned space-based micro-task service system also includes a task demand analysis module, which includes a satellite demand translation submodule, a task feasibility analysis submodule, and a task failure plan design submodule. The satellite demand translation submodule translates the task demand into the task demand for the satellite system, the task demand for the ground station network system, and the task demand for timeliness; the task feasibility analysis submodule evaluates the translated task demand for the satellite system, the task demand for the ground station network system, and the task demand for timeliness according to the latest status of the available satellite system and the ground station network system, and gives qualitative and quantitative conclusions on feasibility; the task failure plan design submodule designs the emergency plan and failure plan for the satellite system and the ground station network system according to the feasibility analysis of the submodule. The task demand analysis module enables the system to enhance the user's ability to propose task analysis and conduct feasibility analysis on it. The task demand analysis module has the ability to translate task requirements, conduct feasibility analysis on each task, and design task failure plans.

[0034] In another typical embodiment of the present application, Figure 2As shown, a space-based micro-task application method that takes into account multiple types of ecological environment monitoring is provided, wherein the space-based micro-task service method includes: step S3, task planning, including: step S31, designing task rules and arranging task timing according to the task requirements of the satellite system and the ground station network system, step S32, parsing the task requirements into preset tasks that can be accepted by the satellite system and the ground station network system, step S33, when the preset task involves the coordinated work of multiple satellites, the single-star / multi-star collaborative logic design submodule decomposes the satellite system requirements into preset tasks that can be accepted by each satellite, and the satellite includes a remote sensing satellite; step S5, model design, including: step S51, according to the task requirements, selecting a suitable algorithm from the preprocessing algorithm library for adaptive combination to generate a preprocessing algorithm group, step S52, according to the task requirements, selecting an existing model from the model library, performing task adaptability fine-tuning on it, and generating a processing model group, step S53, quantizing and compressing the preprocessing algorithm group and the processing model group according to hardware information to obtain a quantized compressed algorithm group, the hardware information includes the satellite on-orbit deployment status, step S54, encapsulate the preset task and the quantized compressed algorithm group into microtasks that can be received and executed by each satellite and ground station network system, the size of the microtask is 10 to 30 kbit, and the microtask includes a remote sensing imaging microtask, step S7, model deployment, the model deployment step is performed on the satellite, including: step S71, setting the satellite's payload parameters according to the microtask, step S72, setting the preprocessing parameters according to the microtask, step S73, embedding the model in the processing logic according to the microtask; step S9, microtask execution, the microtask execution step is performed on the satellite, including: step S91, using the microtask model to search the task area, execute the microtask, step S92, according to the payload parameters, call the preprocessing algorithm and the processing model to process the payload data, use the structured model to process the preprocessed data, extract the payload on-orbit processing results required by the microtask, and encapsulate the results into narrowband data, the size of the narrowband data is 10 kByte to 50 kByte.

[0035] The task planning steps of this application are used to design single / multi-satellite coordination logic according to the top-level task requirements of users after interpretation, arrange task rules, customize the task format according to user requirements, and encapsulate microtasks; it is used to comprehensively summarize, dynamically group, and make short-term and medium-term estimates of the resources of each satellite and ground station network, and evaluate the feasibility and timeliness of task execution. In addition, the model design module connects the entire process from task initiation to data feedback through microtasks, and all the demand baselines of the entire process are microtasks.

[0036] Model design steps: Design, select and compress the preprocessing models and regional detection, regional segmentation and other models required for on-orbit processing, and perform structured packaging. Iterative training and updating of preprocessing models, regional detection, regional segmentation and other models based on historical data obtained from historical micro-tasks. The system can expand the search and evidence collection scope of the task according to the situation of the micro-task, trigger more concentrated or more frequent imaging, and retrain the model in real time based on the feedback results. In addition, micro-models and micro-tasks can be customized according to the needs of various ecological and environmental monitoring, and quickly integrated and comprehensively scheduled.

[0037] The model deployment step sets the parameters and performs embedded deployment of satellite payload parameters, preprocessing models, and various models for on-orbit processing according to the microtasks specified above, and confirms the on-orbit execution conditions of the microtasks through an efficient deployment module.

[0038] The microtask execution step receives the payload data according to the microtask requirements, caches the payload data, preprocesses the cached payload data according to the settings of the model efficient deployment module, processes the preprocessed data using a structured model, extracts the on-orbit processing results of the payload required by the microtask, and encapsulates the results into narrowband data. It can achieve 30-minute ecological environment monitoring task response and microtask narrowband data download.

[0039] In one embodiment, the above-mentioned space-based microtask service method also includes step S6 between step S5 and step S7, microtask injection, including, step S61, sending the microtask to the ground station network, parsing and executing the ground station network microtask, injecting the satellite microtask to each satellite, step S62, on the satellite, executing the step of judging the executability of the satellite microtask, step S63, when judging that the satellite microtask is executable, parsing the satellite microtask into the payload instruction template, preprocessing instruction template and to-be-deployed model that can be executed by each satellite subsystem. The microtask injection step injects the encapsulated microtask and structured model into the satellite and performs executable confirmation. The microtask injection module has the ability to inject microtasks into remote sensing satellites, confirm the remote sensing satellite is executable, and parse microtasks.

[0040] In one embodiment, the above step S7 includes: step S71', setting the satellite's payload parameters according to the instruction template, step S72', setting the preprocessing parameters according to the preprocessing instruction template, and step S73', embedding the model to be deployed in the processing logic according to the microtask.

[0041] In one embodiment, the above-mentioned space-based micro-task service method also includes step S1 before step S3, ground resource monitoring and synchronization, including: continuously monitoring and synchronizing the status of satellite system and ground station network system resources, obtaining the latest status of available satellite system and ground station network system, and providing a basis for subsequent task planning. The satellite-ground resource monitoring and synchronization step can enhance the real-time monitoring of various satellite and ground resources. The satellite resource monitoring and synchronization module has the ability to synchronize the status of each schedulable satellite resource, synchronize each schedulable satellite task, synchronize the status of ground station network resources, and estimate satellite-ground resources.

[0042] In one embodiment, the above-mentioned space-based micro-task service method also includes step S2 after step S1 and before step S3, task requirement analysis, including: step S21, translating the task requirements into task requirements for the satellite system, task requirements for the ground station network system, and task requirements for timeliness; step S22, evaluating the translated task requirements for the satellite system, task requirements for the ground station network system, and task requirements for timeliness based on the latest status of the available satellite system and ground station network system, and giving qualitative and quantitative conclusions on feasibility; step S23, designing emergency plans and failure plans for the satellite system and ground station network system in the feasibility analysis. The task requirement analysis step enhances the user's ability to propose task analysis and conducts feasibility analysis on it. The task requirement analysis module has the ability to translate task requirements, conduct feasibility analysis on each task, and design task failure plans.

[0043] It should be understood that although this specification is described according to various embodiments, not every embodiment contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

[0044] The above are only illustrative specific implementations of the present application and are not intended to limit the scope of the present application. Any equivalent changes, modifications and combinations made by any technician in the field without departing from the concept and principle of the present application shall fall within the scope of protection of the present application.

Claims

1. A space-based micro-task application system that takes into account multiple types of ecological environment monitoring, including: The space-based micro-task service system includes: A mission planning module, the mission planning module includes a mission rule design submodule and a single satellite / multi-satellite collaborative logic design submodule, The task rule design submodule designs task rules and arranges task timing according to the task requirements of the satellite system and ground station network system. The mission rule design submodule and the single-satellite / multi-satellite collaborative logic design submodule jointly analyze the mission requirements into preset tasks that can be accepted by the satellite system and the ground station network system. When the preset task involves the coordinated work of multiple satellites, the single-satellite / multi-satellite coordinated logic design submodule breaks down the satellite system requirements into the preset tasks that each satellite can accept. The satellites include remote sensing satellites; A model design module, wherein the model design module includes a preprocessing algorithm design submodule, a model selection submodule, a model quantization compression submodule, and a model structured packaging submodule, The preprocessing algorithm design submodule selects appropriate algorithms from the preprocessing algorithm library for adaptive combination according to the task requirements to generate a preprocessing algorithm group. The model selection submodule selects an existing model from the model library according to the task requirements, performs task adaptability fine-tuning on the model, and generates a processing model group. The model quantization compression submodule is used to quantize and compress the preprocessing algorithm group and the processing model group according to hardware information to obtain a quantized compressed algorithm group, wherein the hardware information includes the satellite in-orbit deployment status. The model structured encapsulation submodule encapsulates the preset tasks and the quantized compressed algorithm group into microtasks that can be received and executed by each satellite and ground station network system. The size of the microtask is 10-30 kbit, and the microtask includes a remote sensing imaging microtask, a model deployment module, including a payload parameter setting submodule, a preprocessing parameter setting submodule and a structured model on-orbit embedded deployment submodule, and the model deployment module is set on each of the satellites. The payload parameter setting submodule sets the payload parameters of the satellite according to the microtask. The preprocessing parameter setting submodule sets the preprocessing parameters according to the microtask, The structured model on-orbit embedded deployment submodule embeds the model into the processing logic according to the microtask; A microtask execution module, the microtask execution module includes a storage cache payload data submodule, a cache payload data preprocessing submodule, a structured model on-orbit processing submodule and an on-orbit processing result generation submodule, and the microtask execution module is arranged on each of the satellites. The persistent cache load data submodule uses the microtask model to search the task area and execute the microtask. The cache payload data preprocessing submodule, the structured model on-orbit processing submodule and the on-orbit processing result generation submodule jointly call the preprocessing algorithm and the processing model to process the payload data according to the payload parameters, process the preprocessed data using the structured model, extract the on-orbit processing results of the payload required by the processing microtask, and encapsulate the results into narrowband data, wherein the size of the narrowband data is 10kByte to 50kByte.

2. The space-based micro-task application system for multi-type ecological environment monitoring according to claim 1 is characterized in that: The space-based microtask service system also includes a microtask annotation module, which includes a microtask annotation satellite submodule, a satellite executable confirmation submodule and a microtask parsing submodule. The microtask injection satellite submodule sends the microtask to the ground station network, analyzes and executes the ground station network microtask, and injects the satellite microtask to each satellite. A satellite executable confirmation submodule is deployed on the satellite and is used to determine the executable nature of the satellite microtask. The microtask parsing submodule parses the satellite microtask into a payload instruction template, a preprocessing instruction template and a to-be-deployed model that can be executed by each satellite subsystem when the satellite executable confirmation submodule determines that the satellite microtask is executable.

3. The space-based micro-task application system for multi-type ecological environment monitoring according to claim 2 is characterized by: The payload parameter setting submodule sets the payload parameters of the satellite according to the instruction template. The preprocessing parameter setting submodule sets the preprocessing parameters according to the preprocessing instruction template. A space-based microtask application system and method for monitoring multiple types of ecological environments. The structured model on-orbit embedded deployment submodule embeds the model to be deployed in the processing logic according to the microtask.

4. The space-based micro-task application system for multi-type ecological environment monitoring according to claim 1 is characterized in that: The space-based microtask service system also includes a satellite-to-ground resource monitoring and synchronization module, which includes a satellite status synchronization submodule, a satellite mission synchronization submodule and a satellite-to-ground resource estimation submodule. The satellite status synchronization submodule, the satellite mission synchronization submodule and the satellite-to-ground resource estimation submodule jointly and continuously perform satellite system and ground station network system resource monitoring and status synchronization, obtain the latest status of available satellite systems and ground station network systems, and provide a basis for subsequent mission planning.

5. The space-based micro-task application system for multi-type ecological environment monitoring according to claim 4 is characterized in that: The space-based micro-task service system also includes a task demand analysis module, which includes a satellite demand translation submodule, a task feasibility analysis submodule, and a task failure plan design submodule. The satellite requirement translation submodule translates the mission requirement into mission requirements for the satellite system, mission requirements for the ground station network system and mission requirements for timeliness; The mission feasibility analysis submodule evaluates the translated mission requirements for the satellite system, the mission requirements for the ground station network system and the timeliness mission requirements based on the latest status of the available satellite system and the ground station network system, and gives qualitative and quantitative conclusions on feasibility; The mission failure plan design designs emergency plans and failure plans for satellite systems and ground station network systems based on the feasibility analysis of the submodules.

6. A space-based micro-task application method that takes into account multiple types of ecological environment monitoring, wherein: The space-based microtask service method comprises: Step S3, task planning, includes: Step S31, designing task rules and arranging task sequences according to the task requirements of the satellite system and ground station network system. Step S32: parse the task requirements into preset tasks that can be accepted by the satellite system and the ground station network system. Step S33: When the preset task involves the coordinated work of multiple satellites, the single-satellite / multi-satellite coordinated logic design submodule decomposes the satellite system requirements into the preset tasks that each satellite can accept. The satellites include remote sensing satellites; Step S5, model design, includes: Step S51, according to the task requirements, select appropriate algorithms from the preprocessing algorithm library for adaptive combination to generate a preprocessing algorithm group, Step S52: According to the task requirements, select an existing model from the model library, perform task adaptability fine-tuning on it, and generate a processing model group. Step S53, the preprocessing algorithm group and the processing model group are quantized and compressed according to the hardware information to obtain a quantized compressed algorithm group, wherein the hardware information includes the satellite in-orbit deployment status, Step S54, encapsulating the preset task and the quantized compressed algorithm group into microtasks that can be received and executed by each satellite and ground station network system, The size of the microtask is 10-30 kbit, and the microtask includes a remote sensing imaging microtask. Step S7, model deployment, the model deployment step is performed on the satellite, and includes: Step S71, setting the payload parameters of the satellite according to the microtask, Step S72, setting preprocessing parameters according to the microtask, Step S73, embedding the model into the processing logic according to the microtask; Step S9, microtask execution, the microtask execution step is performed on the satellite, including: Step S91, using the microtask model to search the task area and execute the microtask, Step S92, according to the payload parameters, call the preprocessing algorithm and the processing model to process the payload data, use the structured model to process the preprocessed data, extract the on-orbit processing results of the payload required by the microtask, and encapsulate the results into narrowband data, the size of the narrowband data is 10kByte to 50kByte.

7. The space-based micro-task application method for multi-type ecological environment monitoring according to claim 6 is characterized in that: The space-based microtask service method further includes step S6 between step S5 and step S7, microtask annotation, including: Step S61, sending the microtask to the ground station network, parsing and executing the ground station network microtask, and injecting the satellite microtask to each satellite. Step S62, on the satellite, executing a step of determining the executability of the satellite microtask, Step S63, when it is determined that the satellite microtask is executable, the satellite microtask is parsed into a payload instruction template, a preprocessing instruction template and a to-be-deployed model that can be executed by each satellite subsystem.

8. The space-based micro-task application method for multi-type ecological environment monitoring according to claim 7 is characterized in that: The step S7 comprises: Step S71', setting the payload parameters of the satellite according to the instruction template, Step S72', setting preprocessing parameters according to the preprocessing instruction template, Step S73': embed the model to be deployed in the processing logic according to the microtask.

9. The space-based micro-task application method for multi-type ecological environment monitoring according to claim 6 is characterized in that: The space-based microtask service method further includes step S1 before step S3, ground resource monitoring and synchronization, including: Continuously monitor and synchronize the resources and status of satellite systems and ground station network systems, obtain the latest status of available satellite systems and ground station network systems, and provide a basis for subsequent mission planning.

10. The space-based micro-task application method for multi-type ecological environment monitoring according to claim 9 is characterized in that: The space-based micro-task service method further includes step S2 after step S1 and before step S3, task requirement analysis, including: Step S21, translating the mission requirements into mission requirements for the satellite system, mission requirements for the ground station network system, and mission requirements for timeliness; Step S22, based on the latest status of the available satellite systems and ground station network systems, the translated mission requirements for the satellite system, the mission requirements for the ground station network system and the mission requirements for timeliness are evaluated, and qualitative and quantitative conclusions are given on feasibility; Step S23, designing emergency plans and failure plans for the satellite system and ground station network system based on the feasibility analysis.

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