Method, system and device for intelligent decision of observation requirement of fast imager and computer readable storage medium

By employing an intelligent decision-making method for observation needs using a rapid imager, we have achieved rapid emergency response to sudden events such as weather disasters and geological disasters. This solves the problems of long response time and high operational risk of satellite payloads in existing technologies, and improves the flexibility of observation needs and the reliability of decision-making.

CN116222513BActive Publication Date: 2025-11-04NAT SATELLITE METEOROLOGICAL CENT
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Patent Information

Application Number
CN202211581862.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-12-09
Publication Date
2025-11-04
Estimated Expiration
2042-12-09

AI Technical Summary

Technical Problem

Existing technologies cannot meet the routine emergency response requirements of rapid imagers for sudden events such as weather disasters and geological disasters. Furthermore, satellite payload response is time-consuming and has high operational risks, making it impossible to achieve rapid decision-making for flexible observation needs.

Method used

A rapid imager observation demand intelligent decision-making method is adopted. Through client-side deployment of hierarchical account management, situational awareness and visualization are achieved, observation demands are processed automatically, and emergency observation task schedules are generated intelligently, reducing manual operation steps and improving the reliability and timeliness of decision-making.

Benefits of technology

It enables rapid response to observation needs, reduces satellite payload response time, improves the reliability and timeliness of observation deployment and control, and supports flexible observation for various needs.

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Abstract

The application discloses a kind of fast imaging instrument observation demand intelligent decision-making method, system, equipment and computer readable storage medium, the method includes the following steps: obtaining observation plan instruction, wherein the observation plan instruction includes planned observation demand, emergency observation demand and guarantee observation demand;In response to the observation plan instruction, start observation task arrangement;According to the observation task time arrangement, switch different observation areas.The application can respond to plan arrangement at any time, make decisions in real time according to intelligent regulation, so that it is more intelligent.
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Description

Technical Field

[0001] This invention relates to the field of image processing technology, and more specifically, to a method, system, device, and computer-readable storage medium for intelligent decision-making regarding the observation needs of a rapid imager. Background Technology

[0002] Currently, the Fengyun-4 (02) batch ground application system mission management and control subsystem adopts a method of scheduling tasks before UT09:00 the previous day to generate a 24-hour Fengyun-4B satellite payload observation mission schedule for the next day. After the satellite is in orbit, when an emergency change of observation area is required, the observation requesting customer cannot promptly understand the satellite platform's working status. At the same time, satellite operation control requires long-term on-duty personnel from multiple departments, relying on paper-based disaster response observation application forms for manual decision-making on various observation elements and adjustment of observation areas. The satellite payload response is time-consuming and carries certain operational risks. It cannot meet the normalized emergency response of rapid imagers for sudden events such as weather disasters and geological disasters, as well as the flexible observation needs for various requirements.

[0003] The Rapid Imager Observation Demand Intelligent Decision System deploys observation demand clients at user units. Through hierarchical account management, it achieves situational awareness of hierarchical demands. The client uses the system to visualize satellite safety management events that the satellite platform needs to complete, such as flywheel unloading, satellite orbit control, and satellite turning, providing intuitive decision-making assistance to observation demand users and satellite operation and control personnel regarding available observation periods. Within the field of view of the Fengyun-4B satellite's rapid imager, an observation area is selected by overlaying the most recent full-disk image of the rapid imager onto a 2000km*1800km area, providing intuitive decision-making assistance for observation demand users and satellite operation and control personnel. Observation demand clients can directly submit observation requests through the client. The Rapid Imager Observation Demand Intelligent Decision System automates the emergency response satellite command and dispatch process for observation demands during severe weather, major holidays, etc., reducing operational steps for users at all levels and improving the reliability and timeliness of the Fengyun-4B satellite's rapid imager observation deployment and control process.

[0004] The disaster response observation client is responsible for the interactive perception of payload observation needs. It is deployed in user units and the mission management and control system. After logging in, users with observation needs input the latitude and longitude of the center point of the target area and the total observation time requirement. To ensure satellite safety, the client only accepts one emergency observation request within 30 minutes. Intelligent matching of observation areas follows the principle of shortest straight-line distance to the center point of the target area, selecting the optimal planning area unit from the lookup tables for the China region and the entire disk region. Observation time rationalization analysis performs a comprehensive conflict analysis based on the existing satellite platform and payload operation schedule to determine a reasonable observation task arrangement. Intelligent decision-making for emergency observation makes decisions based on the observation area matching results and the observation time rationalization results. If the mission arrangement cannot meet the observation needs of the satellite-ground system, the user with the observation needs is notified. If it can, after manual confirmation by the senior maintenance user, the intelligent decision-making system automatically generates observation element information such as the start and end row and column numbers of the emergency observation area, and the start and end times of the emergency observation. This information is then comprehensively generated into an emergency observation mission schedule for the rapid imager and automatically distributed to all levels of the satellite-ground system through the mission management and control system.

[0005] In view of this, the present invention is proposed. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method, system, device and computer-readable storage medium for intelligent decision-making of observation needs of rapid imagers, which can respond to planning arrangements at any time and make decisions in real time based on intelligent control, making it more intelligent.

[0007] Firstly, to solve the above-mentioned technical problems, the basic concept of the technical solution adopted by this invention is as follows:

[0008] A method for intelligent decision-making regarding the observation needs of a rapid imager, the method comprising the following steps:

[0009] Step 1: Obtain the observation plan instructions, wherein the observation plan instructions include planned observation requirements, emergency observation requirements, and support observation requirements;

[0010] Step 2: Respond to the observation plan instructions and begin scheduling observation tasks;

[0011] Step 3: Switch to different observation areas according to the observation task schedule.

[0012] In a preferred embodiment of any of the above schemes, the planned observation requirements include:

[0013] For weather events predicted in recent forecasts, observation users can submit observation requests. The latest planned observation requests can automatically overwrite the previous planned observation requests, provided that the number of days for the planned observation requests is ≤5 days.

[0014] In a preferred embodiment of any of the above schemes, the emergency observation requirement includes:

[0015] For the need for rapid, temporary response to emergencies, observation requests are submitted by the observation users without time selection. Execution is immediate upon approval by the maintenance user. Changes to the observation area can automatically cover planned observation requests. These guaranteed observation needs include:

[0016] For planned observation requests, initiated by the observation user or maintenance user, observations are conducted in a fixed area for a specific time period. Once approved, the request has the highest priority, cannot be automatically overwritten, and can only be manually modified or deleted by the maintenance user.

[0017] In a preferred embodiment of any of the above schemes, the observation task arrangement includes:

[0018] The planned observation requirements include regional information, observation start time, and observation end time. It allows for the selection of the start time of observation at the minute level, with each change of region selection at least one hour apart.

[0019] For emergency observation needs, it only contains regional information, with only one region selectable and no time marker.

[0020] To ensure observation needs are met, it includes only one region, allowing for minute-level selection of start and end times for observations, with a maximum selection period of 10 days.

[0021] In a preferred embodiment of any of the above schemes, after switching different observation areas according to the observation task schedule, the method further includes:

[0022] Users select the center point of the area they need to observe within the field of view of the Fengyun-4B satellite's rapid imager;

[0023] The task management and control system automatically extracts the lookup table for the China region of the rapid imager and the lookup table for the full-disc region of the rapid imager, and filters all planned regions that cover the center point of the observation requirement area.

[0024] Calculate the distance between the center point of the observation requirement area and the center point of each planning area. The specific calculation formula is as follows: Let there be two points A and B with coordinates A(x1,y1) and B(x2,y2) respectively. Then the distance between points A and B is:

[0025] Automatically match the planning area whose center point is closest to the center point of the observation requirement area to achieve observation area matching;

[0026] Automatically outputs the load observation information data of the planned observation area of ​​the rapid imager, including the starting row number, starting column number, ending row number, and ending column number, as well as the starting longitude, starting latitude, ending longitude, ending latitude, center point longitude, and center point latitude of the planned observation area of ​​the rapid imager;

[0027] Add a list of recently scheduled tasks to help users with observation needs understand the recent observation tasks of the Rapid Imager and provide satellite mission scheduling information for observation decisions.

[0028] In a preferred embodiment of any of the above schemes, after providing satellite mission scheduling information for observation decisions, the method further includes:

[0029] The mission management and control system provides the observation time according to the rapid imager mission schedule;

[0030] The China Regional Visualization Lookup Table and the Full-Disc Regional Visualization Lookup Table allow users with observation needs to select a region. After left-clicking to select a region, the corresponding region's latitude and longitude range, center point latitude and longitude, and region number will pop up. Right-clicking to select "Select this region" will automatically load the observation request form.

[0031] The observation request form automatically generates an observation area number. The observation user fills in the observation start time, observation end time, and selects the request type. Notes are optional.

[0032] Requirements at each level should be filled in on the respective requirement form. In case of task time conflicts, the latest task will override the planned task at this level. All requirement forms must be approved by the satellite maintenance user before a rapid imager observation task schedule is generated.

[0033] In a preferred embodiment of any of the above schemes, after switching different observation areas according to the observation task schedule, the method further includes:

[0034] Once selected, it will automatically match a predefined fast imager observation mode according to the matching algorithm.

[0035] After confirmation, the user submits the observation request to the intelligent control platform.

[0036] Displays the execution status of each node in the emergency observation request response process for the rapid imager;

[0037] Displays the most recent fast imager image.

[0038] Secondly, a rapid imager observation demand intelligent decision-making system includes:

[0039] The user demand perception module is used for interactive perception of payload observation needs. It is deployed in user units and the task management and control system. After logging in, users with observation needs input the latitude and longitude information of the center point of the observation target area and the total observation time requirement. User needs are inputted and managed in a hierarchical manner, divided into meteorological emergency observation needs, disaster response observation needs, and major support observation needs. Meteorological emergency observations are for weather processes that are about to occur or are currently occurring in the recent weather forecast, and are initiated by the observation user. Disaster response observations are for the random and rapid response needs of sudden events, and are initiated by the observation user. Major support observations are for the planned observation needs of major events, and are initiated by the observation user or satellite maintenance user.

[0040] The intelligent matching module for observation areas is used by users at all levels to initiate meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms. The client interface of the rapid imager observation request intelligent decision-making system then performs a visual operation to select the planned observation area within the field of view of the Fengyun-4B satellite's rapid imager. The visualization interface uses the most recent full-disk image of the imager as the base map, with the area range fixed at 2000 km * 1800 km. Users select the center point of the observation request area within the field of view of the Fengyun-4B satellite's rapid imager. The intelligent matching module automatically extracts the rapid imager's China regional planning lookup table and the rapid imager's full-disk regional planning lookup table, filters all planned areas covering the center point of the observation request area, and calculates the distance between the center point of the observation request area and the center points of each planned area. The specific calculation formula is as follows: Let there be two points A and B with coordinates A(x1, y1) and B(x2, y2), respectively. Then the distance between points A and B is: In the formula: A is the center point of the observation requirement area, x1 is the longitude of the center point of the observation requirement area, y1 is the latitude of the center point of the observation requirement area, B is the center point of the planned area of ​​the rapid imager, x2 is the longitude of the center point of the planned area of ​​the rapid imager, and y2 is the latitude of the center point of the planned area of ​​the rapid imager. The distance between the planned area and the center point of the observation requirement area is calculated in the rapid imager China area planning lookup table and the rapid imager full disk area planning lookup table that can cover the center point of the observation requirement area. The planned area that is closest to the center point of the observation requirement area is automatically matched to achieve optimal intelligent matching of the observation area. A unique observation requirement planning area number is output, and rapid imager planned observation area number data is generated.

[0041] The intelligent observation time matching module is used by users at all levels to initiate meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms. The client interface of the rapid imager observation request intelligent decision-making system allows for the visual selection of planned observation times. Users can input the planned emergency start time and planned emergency end time, respectively. Meteorological emergency observations can compile observation requests for up to 5 days. Disaster response observations do not have time selection; the intelligent decision-making system defaults to starting observations 30 minutes after the request form is initiated. Major support observations can compile observation requests for up to 10 days. Each request form provides minute-level time resolution and allows selection of observation times during non-satellite platform mission periods, automatically shielding satellite safety management periods such as flywheel unloading, satellite orbit control, and satellite turning.

[0042] The intelligent decision-making module for observation tasks employs a single-threaded rapid imager task planning approach, combining static and dynamic task planning. It maintains a fixed observation range and frequency, and achieves efficient observation decisions through rapid dynamic switching of areas by the payload. Based on the latest meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms initiated by users at all levels, the module aggregates these requests. It then matches the starting row number, starting column number, ending row number, ending column number, start observation time, and end observation time of the rapid imager observation request area with the existing running rapid imager task schedule, automatically generating a rapid imager observation task request form. After user confirmation, this form is sent to the observation task approval module.

[0043] Thirdly, a smart decision-making device for rapid imager observation needs includes:

[0044] One or more processors;

[0045] A storage device for storing one or more programs, which, when executed by one or more processors, enable the one or more processors to implement the intelligent decision-making method for rapid imager observation requirements.

[0046] Fourthly, a computer-readable storage medium storing a program that, when executed by a processor, implements the intelligent decision-making method for observation requirements of the rapid imager.

[0047] Compared with the prior art, the intelligent decision-making method for observation requirements of the rapid imager in this application embodiment starts the observation task arrangement in response to the observation plan instruction, and switches different observation areas according to the observation task time arrangement. It can respond to the plan arrangement at any time and make decisions in real time based on intelligent control, making it more intelligent.

[0048] The specific embodiments of the present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0049] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. Some specific embodiments of this application will be described in detail below with reference to the accompanying drawings in an exemplary and non-limiting manner. The same reference numerals in the drawings designate the same or similar parts or components. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0050] Figure 1 This is a flowchart illustrating the intelligent decision-making method for observation requirements of a rapid imager according to an embodiment of this application.

[0051] Figure 2 This is a schematic diagram of the intelligent decision-making system for observation requirements of a rapid imager, as described in an embodiment of this application.

[0052] Figure 3 This is a schematic diagram of an intelligent decision-making device for observation requirements of a rapid imager, as described in an embodiment of this application.

[0053] It should be noted that these accompanying drawings and textual descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art by referring to specific embodiments. The elements in the drawings are schematic and not drawn to scale. Detailed Implementation

[0054] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some, not all, of the embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative effort should fall within the scope of protection of the present application.

[0055] It should be noted that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0056] The following embodiments of this application use the intelligent decision-making method for observation requirements of a fast imager as an example to illustrate the solution of this application in detail. However, these embodiments do not limit the scope of protection of this application.

[0057] like Figure 1 As shown, this invention provides an intelligent decision-making method for rapid imager observation needs, the method comprising the following steps:

[0058] Step 1: Obtain observation plan instructions, which include planned observation requests, emergency observation requests, and support observation requests. Planned observation requests include those submitted by observation users for weather events such as typhoons, heavy rains, and severe convective weather predicted in recent forecasts. The latest planned observation requests can automatically overwrite the previous planned observation requests, and a maximum of 10 days' worth of observation requests can be compiled. Emergency observation requests include those for temporary, rapid response to emergencies such as earthquakes, fires, and rescue operations. These requests are submitted by observation users, have no time selection, and can be executed immediately after approval by the maintenance user. They involve changing the observation area, have high priority, and can automatically overwrite planned observation requests. Support observation requests include planned observation requests for major events, initiated by observation users or maintenance users, targeting fixed areas within a specific time period. Once approved, these requests have the highest priority, cannot be automatically overwritten, and can only be manually modified or deleted by the maintenance user.

[0059] Step 2: Respond to the observation plan instructions and begin arranging observation tasks. Planned observation requirements include regional information, observation start time, and observation end time, allowing for minute-level selection of start times, but each regional change must be at least one hour apart. A single application form can contain a maximum of two regions and a maximum of five days, and can only be submitted twice per day. Emergency observation requirements only include regional information, with only one region selectable and no time indicator. Guaranteed observation requirements include only one region, allowing for minute-level selection of start and end times, with a maximum selection of 10 days.

[0060] Step 3: Switch to different observation areas according to the observation task schedule.

[0061] In the intelligent decision-making method for rapid imager observation requirements described in this embodiment of the invention:

[0062] Within the field of view of the rapid imager of Fengyun-4B satellite, an observation area is selected, using the most recent full-disk image of the imager as the base map, with the area range fixed at 2000 km * 1800 km.

[0063] Users select the center point of the observation area within the field of view of the Fengyun-4B satellite's rapid imager. The system automatically extracts the China region lookup table and the full-disk region planning lookup table of the rapid imager, filters all planned regions covering the center point of the observation area, and calculates the distance between the center point of the observation area and the center point of each planned region. The specific calculation formula is as follows:

[0064] Let there be two points A and B with coordinates A(x1, y1) and B(x2, y2) respectively. Then the distance between points A and B is: AB = x1 - x2 2 +y1-y2 2 Automatically matches the planning area whose center point is closest to the center point of the observation requirement area, achieving observation area matching. Automatically outputs the starting row number, starting column number, ending row number, and ending column number of the planned observation area of ​​the rapid imager, as well as the starting longitude, starting latitude, ending longitude, ending latitude, center point longitude, and center point latitude information of the planned observation area of ​​the rapid imager.

[0065] Add a list of recently scheduled tasks to help users with observation needs understand the recent observation tasks of the Rapid Imager and provide satellite mission scheduling information for observation decisions.

[0066] The intelligent decision-making system provides observation time based on the rapid imager mission schedule. The observation time does not include the satellite service period (including flywheel unloading, landing observation, positioning observation, calibration observation, etc.). Visual lookup tables for the China region and the full disk region are available. Users with observation needs can select the region by left-clicking. After selecting the region, the corresponding latitude and longitude range, center point latitude and longitude, and region number will pop up. Right-clicking "Select this region" will automatically load the observation request form.

[0067] The observation request form automatically generates an observation area number. The observation user fills in the observation start time, observation end time, selects the request type, and optionally fills in remarks. It has save and submit functions.

[0068] Requirements at each level can only be filled in on the requirement form at that level. In the event of a task time conflict, the latest task can only cover the planned task at that level. All requirement forms must be approved by the satellite maintenance user before the rapid imager observation task schedule can be generated.

[0069] Once selected, the system automatically matches a predefined rapid imager observation mode based on a matching algorithm; after user confirmation, the system submits the observation request to the intelligent control platform; the system displays the execution status of each node in the rapid imager emergency observation request response process and shows the most recent rapid imager image.

[0070] Tiered user management includes: Planned observation users, such as the China Meteorological Administration, who can log in to query regions and mission schedules, and submit planned observation mission orders and emergency observation mission orders; Emergency observation users, such as the National Emergency Command Center, who can log in to query regions and mission schedules, and submit emergency observation mission orders; Satellite maintenance users, such as operation and control maintenance personnel, who can log in to query regions and mission schedules, and submit planned observation mission orders, emergency observation mission orders, and support observation request orders, and have the ability to approve planned observation mission orders, emergency observation mission orders, and support observation request orders; and Operation monitoring users, such as demonstration, visit, and operation monitoring personnel, who can query regions and automatically match demonstrations without logging in, and can view the current rapid imager observation mission schedule.

[0071] A rapid imager observation demand intelligent decision-making system, characterized in that it includes:

[0072] The user demand perception module is used for interactive perception of payload observation needs. It is deployed in user units and the task management and control system. After logging in, users with observation needs input the latitude and longitude information of the center point of the observation target area and the total observation time requirement. User needs are inputted and managed in a hierarchical manner, divided into meteorological emergency observation needs, disaster response observation needs, and major support observation needs. Meteorological emergency observations are for weather processes that are about to occur or are currently occurring in the recent weather forecast, and are initiated by the observation user. Disaster response observations are for the random rapid response needs of sudden events, and are initiated by the observation user. Major support observations are for the planned observation needs of major events, and are initiated by the observation user or satellite maintenance user. The meteorological emergency observation demand form, disaster response observation demand form, and major support observation demand form include the location information of the observation area of ​​the rapid imager and the observation time information of the rapid imager.

[0073] The intelligent matching module for observation areas is used by users at all levels to initiate meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms. The client interface of the rapid imager observation request intelligent decision-making system then performs a visual operation to select the planned observation area within the field of view of the Fengyun-4B satellite's rapid imager. The visualization interface uses the most recent full-disk image of the imager as the base map, with the area range fixed at 2000 km * 1800 km. Users select the center point of the observation request area within the field of view of the Fengyun-4B satellite's rapid imager. The intelligent matching module automatically extracts the rapid imager's China regional planning lookup table and the rapid imager's full-disk regional planning lookup table, filters all planned areas covering the center point of the observation request area, and calculates the distance between the center point of the observation request area and the center points of each planned area. The specific calculation formula is as follows: Let there be two points A and B with coordinates A(x1, y1) and B(x2, y2), respectively. Then the distance between points A and B is: In the formula: A is the center point of the observation requirement area, x1 is the longitude of the center point of the observation requirement area, y1 is the latitude of the center point of the observation requirement area, B is the center point of the planned area of ​​the rapid imager, x2 is the longitude of the center point of the planned area of ​​the rapid imager, and y2 is the latitude of the center point of the planned area of ​​the rapid imager. The formula calculates the distance between the planned areas and the center points of the observation requirement areas in the rapid imager's China region planning lookup table and the rapid imager's full-disc region planning lookup table that can cover the center points of the observation requirement areas. It automatically matches the planned area whose center point is closest to the center point of the observation requirement area, achieving optimal intelligent matching of the observation area. It outputs a unique planned area number for the observation requirement area and generates the planned observation area number data for the rapid imager. The intelligent matching module for the observation area is based on the planned observation area number of the rapid imager. The system matches the data with the unique planning region number corresponding to the rapid imager's China regional planning lookup table and the rapid imager's full-disk regional planning lookup table. It extracts the region observation start row number, start column number, end row number, end column number, and payload observation information data, as well as the region observation start longitude, start latitude, end longitude, end latitude, center point longitude, and center point latitude geographic information data. The intelligent matching module for the observation region can preview the intelligent matching effect of the rapid imager to users at all levels through a visual interface in real time. The image display information includes the most recent full-disk image of the imager as the base map, a fixed region range of 2000 km * 1800 km, the region number, and the region observation start longitude, start latitude, end longitude, and end latitude geographic information data. The intelligent matching module for the observation region takes ≤1 second to calculate and display the intelligent matching results. Users can adjust the geographic information of the center point of the observation demand area multiple times before confirmation, based on the pre-display effect of the intelligent matching area. The intelligent matching module of the observation area responds in real time to the pre-display results after the adjustment, with a response time of ≤1 second. Meteorological emergency observation demand orders can plan 2 observation demand areas within a day, while disaster response observation demand orders and major support observation demand orders can only plan 1 observation demand area within a day. After multiple levels of users confirm the observation demand areas, the intelligent matching module of the observation area generates the starting row number data, starting column number data, ending row number data, and ending column number data of the rapid imager observation demand area and sends them to the intelligent decision-making module of the observation task.

[0074] The intelligent observation time matching module is used by users at all levels to initiate meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms. The client interface of the rapid imager observation request intelligent decision-making system allows for visual selection of planned observation times, with users inputting the planned emergency start and end times. Meteorological emergency observations can compile observation requests for up to 5 days. Disaster response observations have no time selection; the intelligent decision-making system defaults to starting observations 30 minutes after the request form is initiated. Major support observations can compile observation requests for up to 10 days. Each request form provides minute-level time resolution and allows selection of observation times outside of satellite platform mission periods, automatically excluding satellite safety management periods such as flywheel unloading, satellite orbit control, and satellite turning. The intelligent observation time matching module can also preview the intelligent time matching effect of the rapid imager to users at all levels in real time through a visual interface. The image display information includes the planned arrangements for meteorological emergency observation requests, disaster response observation requests, and major support observation requests for the past 10 days. When the observation needs of the rapid imager conflict with the planned schedule, the meteorological emergency observation request form can only automatically change the meteorological emergency observation time; the disaster response observation request form has a higher priority and can automatically cover the meteorological emergency observation time period; the major support observation request form has the highest priority and can automatically cover the meteorological emergency observation time period and the disaster response observation request time period. Planned major support observation times cannot be automatically covered and can only be manually modified or deleted by the satellite maintenance user. The intelligent matching module for the observation area takes ≤1 second to calculate the intelligent matching time and ≤1 second to display the intelligent matching time result. Users can temporarily adjust the observation request time information multiple times before confirmation based on the intelligent matching time preview effect through the visual interface. The intelligent matching time module for the observation area responds in real time to the adjusted preview result, with a response time ≤1 second. A meteorological emergency observation request form can plan two observation request periods within a day, while a disaster response observation request form and a major support observation request form can only plan one observation request period within a day. After multiple users confirm the required observation area, the observation time intelligent matching module generates observation time data for the rapid imager, including the start observation time data and the end observation time data for the rapid imager, and sends it to the observation task intelligent decision module.

[0075] The intelligent decision-making module for observation tasks employs a single-threaded rapid imager task planning approach, combining static and dynamic task planning. It maintains a fixed observation range and frequency, and achieves efficient observation decisions through rapid dynamic switching of areas by the payload. Based on the latest meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms initiated by users at all levels, the module aggregates these requests. It then matches the starting row number, starting column number, ending row number, ending column number, start observation time, and end observation time of the rapid imager observation request area with the existing running rapid imager task schedule, automatically generating a rapid imager observation task request form. After user confirmation, this form is sent to the observation task approval module.

[0076] The intelligent decision-making module for observation tasks is capable of responding in real time to meteorological emergency observation requests, disaster response observation requests, and major support observation requests initiated by users at all levels. If the start and end times of the observation request overlap with the positioning and calibration tasks (such as infrared background observation, blackbody calibration observation, landmark observation, and stellar observation) in the existing operational rapid imager task schedule, the start and end times will be automatically postponed to 1 minute after the satellite safety management period. This generates data for the rapid imager observation plan area's starting row number, starting column number, ending row number, ending column number, start time, and end time. The intelligent decision-making module can also preview the rapid imager observation task requests to users at all levels through a visual interface, displaying key information such as changes in the observation area, start time, and end time for each period.

[0077] The intelligent decision-making module for observation tasks takes ≤1 second to calculate the intelligent decision-making time and ≤1 second to display the intelligent decision-making results. Users can withdraw meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms before confirmation, based on the pre-display effect of the intelligent decision-making process, through a visual interface. The intelligent decision-making module for observation tasks responds to withdrawal commands from users at all levels in real time, with a response time of ≤1 second.

[0078] The observation task approval module is used for login and control by satellite maintenance users. After logging in, the satellite maintenance user performs a comprehensive conflict analysis based on the rapid imager observation task request form and the existing satellite platform and payload operation schedule. If the task is approved and confirmed, the rapid imager observation task request form is automatically sent to the rapid imager task schedule generation module. If the task is not approved, the rapid imager observation request intelligent decision-making system sends a rejection message to users at all levels. The observation task approval module has real-time response capabilities; the response time for satellite maintenance user approval or rejection is ≤1 second, the automatic sending time of the rapid imager observation task request form is ≤1 second, and the time for sending rejection messages to users at all levels is ≤1 second.

[0079] The rapid imager mission schedule generation module extracts the following data from the rapid imager observation plan area based on the rapid imager observation mission requirement form: starting row number, starting column number, ending row number, ending column number, starting observation time, and ending observation time. It then matches these data with temporary tasks such as solar avoidance and lunar observation to automatically generate the rapid imager mission schedule and send it to the rapid imager satellite-to-ground command and dispatch module.

[0080] The rapid imager satellite-ground command and dispatch module is used to perform automatic operations in a dual-thread concurrent manner, thereby realizing unified command and dispatch of the entire emergency response business process of the rapid imager deployment observation Fengyun-4 (02) batch ground application system data processing, product generation and broadcasting.

[0081] All payload commands for the Fengyun-4B satellite are uploaded 2 hours in advance. Based on the rapid imager's emergency mission schedule, the satellite-ground command and dispatch module first automatically pauses the rapid imager payload telemetry and control and clears the uploaded commands on the payload satellite. It then schedules the ground system to update the payload emergency observation mission template. Next, it sends the emergency mission schedule to the positioning and registration system. The positioning and registration system generates parameter files for observation commands, updates the emergency observation operation plan, and generates emergency observation mission commands. Finally, it resumes payload telemetry and control to start uploading observation commands, completing the rapid imager emergency observation deployment. For parallel execution, the payload mission operation plan is first automatically updated and this mission schedule is sent to each system. Then, the data acquisition and telemetry and control system, the positioning and registration system, the calibration and authenticity verification system, and the product generation system autonomously parse and automatically execute the tasks of each system according to the new schedule. The data service system publishes the mission schedule, and the data acquisition and telemetry and control system updates and loads the product broadcast plan after the switch, thus completing the deployment of emergency observation data processing for the ground system. The mission management and control system will centrally monitor the business observation mode after the emergency response switch. Notifications will be sent before the start and end of the switch process, including the start time and switch area. If an abnormal situation occurs during the command and dispatch of the space-ground system, the module will automatically pause the current step and switch to manual operation mode, and send an alarm notification.

[0082] The tiered user management module includes: Planned observation users (such as the China Meteorological Administration), who can log in to query regions and mission schedules, and submit planned observation mission orders and emergency observation mission orders; Emergency observation users (such as the National Emergency Command Center), who can log in to query regions and mission schedules, and submit emergency observation mission orders; Satellite maintenance users (such as operation and control maintenance personnel), who can log in to query regions and mission schedules, and submit planned observation mission orders, emergency observation mission orders, and major support observation orders, and have the ability to approve planned observation mission orders, emergency observation mission orders, and major support observation orders; and Operation monitoring users (such as demonstration, visit, and operation monitoring personnel), who can query without logging in.

[0083] Figure 3 The intelligent decision-making device for rapid imager observation needs shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0084] like Figure 3 As shown, the intelligent decision-making device for rapid imager observation needs is presented in the form of a general-purpose computing device. Components of the intelligent decision-making device for rapid imager observation needs may include, but are not limited to: one or more processors or processing units, memory, and buses connecting different system components (including memory and processing units).

[0085] A bus refers to one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0086] Intelligent decision-making devices for rapid imager observation needs typically include a variety of computer-readable media. These media can be any available media that can be accessed by the intelligent decision-making device for rapid imager observation needs, including volatile and non-volatile media, and portable and non-portable media.

[0087] The memory may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory. The intelligent decision-making device for rapid imager observation requirements may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system may be used to read and write non-removable, non-volatile magnetic media (…). Figure 3 Not shown; usually referred to as a "hard drive"). Although Figure 3 Not shown, disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs (e.g., CD-ROMs, DVD-ROMs, or other optical media) may be provided. In these cases, each drive may be connected to a bus via one or more data media interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0088] A program / utility having a set (at least one) of program modules can be stored, for example, in memory. Such program modules include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules typically perform the functions and / or methods described in the embodiments of this invention.

[0089] The rapid imager observation demand intelligent decision-making device can also communicate with one or more external devices (e.g., keyboard, pointing device, display, etc.), one or more devices that enable users to interact with the rapid imager observation demand intelligent decision-making device, and / or any device that enables the rapid imager observation demand intelligent decision-making device to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interfaces. Furthermore, the rapid imager observation demand intelligent decision-making device can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via a network adapter. As shown in the figure, the network adapter communicates with other modules of the rapid imager observation demand intelligent decision-making device via a bus. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the rapid imager observation demand intelligent decision-making device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0090] The processing unit executes various functional applications and data processing by running programs stored in the memory, such as implementing the intelligent decision-making method for observation requirements of the rapid imager provided in any embodiment of the present invention. Specifically: it acquires observation plan instructions, wherein the observation plan instructions include planned observation requirements, emergency observation requirements, and guaranteed observation requirements; responds to the observation plan instructions and begins arranging observation tasks; and switches between different observation areas according to the observation task schedule.

[0091] This invention also provides a computer-readable storage medium storing a program that, when executed by a processor, implements the stack splitting processing method as described in any embodiment of this invention. The method includes:

[0092] Obtain observation plan instructions, wherein the observation plan instructions include planned observation requirements, emergency observation requirements, and support observation requirements;

[0093] Step 2: Respond to the observation plan instructions and begin scheduling observation tasks;

[0094] Step 3: Switch to different observation areas according to the observation task schedule.

[0095] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0096] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0097] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0098] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for intelligent decision-making regarding the observation needs of a rapid imager, characterized in that, The method includes the following steps: Step 1: Obtain the observation plan instructions, wherein the observation plan instructions include planned observation requirements, emergency observation requirements, and support observation requirements; Step 2: Respond to the observation plan instructions and begin scheduling observation tasks; Step 3: Switch between different observation areas according to the observation task schedule; The planned observation requirements include: For weather events that occur in recent forecasts, observation users can submit observation requests. The latest planned observation requests can automatically overwrite the previous planned observation requests, where the number of days for the observation requests is ≤5 days. The emergency observation requirements include: For the need for rapid, temporary response to emergencies, observation requests are submitted by the observation users without time selection. Execution is immediate upon approval by the maintenance user. Changes to the observation area can automatically cover planned observation requests. These guaranteed observation needs include: For planned observation needs, initiated by the observation user or maintenance user, observations are conducted in a fixed area for a specific time period. Once the request is approved, it has the highest priority, cannot be automatically overwritten, and can only be manually modified or deleted by the maintenance user. After switching between different observation areas according to the observation task schedule, the process also includes: Users select the center point of the area they need to observe within the field of view of the Fengyun-4B satellite's rapid imager; The task management and control system automatically extracts the lookup table for the China region of the rapid imager and the lookup table for the full-disc region of the rapid imager, and filters all planned regions that cover the center point of the observation requirement area. Calculate the distance between the center point of the observation requirement area and the center point of each planning area. The specific calculation formula is as follows: Let there be two points A and B with coordinates A(x1, y1) and B(x2, y2) respectively. Then the distance between points A and B is: In the formula: A is the center point of the observation requirement area. To observe the longitude of the center point of the required area, B represents the latitude of the center point of the observation area, and B is the center point of the area planned by the rapid imager. To determine the longitude of the center point of the area for the rapid imager, Plan the latitude of the center point of the region for the rapid imager; Automatically match the planning area whose center point is closest to the center point of the observation requirement area to achieve observation area matching; Automatically outputs the load observation information data of the planned observation area of ​​the rapid imager, including the starting row number, starting column number, ending row number, and ending column number, as well as the starting longitude, starting latitude, ending longitude, ending latitude, center point longitude, and center point latitude of the planned observation area of ​​the rapid imager; Add a list of recently scheduled tasks to help users with observation needs understand the recent observation tasks of the Rapid Imager and provide satellite mission scheduling information for observation decisions.

2. The intelligent decision-making method for observation requirements of a rapid imager according to claim 1, characterized in that: The observation task arrangement includes: The planned observation requirements include regional information, observation start time, and observation end time. It allows for the selection of the start time of observation at the minute level, with each change of region selection at least one hour apart. Emergency observation needs only include regional information, with only one region selectable and no time marker; To ensure observation needs are met, it includes only one region, allowing for minute-level selection of start and end times for observations, with a maximum selection period of 10 days.

3. The intelligent decision-making method for observation requirements of a rapid imager according to claim 2, characterized in that: After providing satellite mission scheduling information for observation decisions, it also includes: The mission management and control system provides the observation time according to the rapid imager mission schedule; The China Regional Visualization Lookup Table and the Full-Disc Regional Visualization Lookup Table allow users with observation needs to select a region. After left-clicking to select a region, the corresponding region's latitude and longitude range, center point latitude and longitude, and region number will pop up. Right-clicking to select "Select this region" will automatically load the observation request form. The observation request form automatically generates an observation area number. The observation user fills in the observation start time, observation end time, and selects the request type. Notes are optional. Requirements at each level should be filled in on the respective requirement form. In case of task time conflicts, the latest task will override the planned task at this level. All requirement forms must be approved by the satellite maintenance user before a rapid imager observation task schedule is generated.

4. The intelligent decision-making method for observation requirements of a rapid imager according to claim 3, characterized in that: After switching between different observation areas according to the observation task schedule, the process also includes: Once selected, it will automatically match a predefined fast imager observation mode according to the matching algorithm. After confirmation, the user submits the observation request to the intelligent control platform. Displays the execution status of each node in the emergency observation request response process for the rapid imager; Displays the most recent fast imager image.

5. An intelligent decision-making system for observation needs of a rapid imager, characterized in that: include: The user demand perception module is used for interactive perception of payload observation needs. It is deployed in user units and the task management and control system. After logging in, users with observation needs input the latitude and longitude information of the center point of the observation target area and the total observation time requirement. User needs are inputted and managed in a hierarchical manner, divided into meteorological emergency observation needs, disaster response observation needs, and major support observation needs. Meteorological emergency observations are for weather processes that are about to occur or are currently occurring in the recent weather forecast, and are initiated by the observation user. Disaster response observations are for the random and rapid response needs of sudden events, and are initiated by the observation user. Major support observations are for the planned observation needs of major events, and are initiated by the observation user or satellite maintenance user. The intelligent matching module for observation areas is used by users at all levels to initiate meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms. The client interface of the rapid imager observation request intelligent decision-making system then performs a visual operation to select the planned observation area within the field of view of the Fengyun-4B satellite's rapid imager. The visualization interface uses the most recent full-disk image of the imager as the base map, with the area range fixed at 2000 km * 1800 km. Users select the center point of the observation request area within the field of view of the Fengyun-4B satellite's rapid imager. The intelligent matching module automatically extracts the rapid imager's China regional planning lookup table and the rapid imager's full-disk regional planning lookup table, filters all planned areas covering the center point of the observation request area, and calculates the distance between the center point of the observation request area and the center points of each planned area. The specific calculation formula is as follows: Let there be two points A and B with coordinates A(x1, y1) and B(x2, y2), respectively. Then the distance between points A and B is: In the formula: A is the center point of the observation requirement area, x1 is the longitude of the center point of the observation requirement area, y1 is the latitude of the center point of the observation requirement area, B is the center point of the planned area of ​​the rapid imager, x2 is the longitude of the center point of the planned area of ​​the rapid imager, and y2 is the latitude of the center point of the planned area of ​​the rapid imager. Calculate the distance between the planned area and the center point of the observation requirement area in the rapid imager China area planning lookup table and the rapid imager full-disc area planning lookup table that can cover the center point of the observation requirement area. Automatically match the planned area whose center point is closest to the center point of the observation requirement area to achieve optimal intelligent matching of the observation area. Output a unique observation requirement planning area number and generate rapid imager planned observation area number data. The intelligent observation time matching module is used by users at all levels to initiate meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms. The client interface of the rapid imager observation request intelligent decision-making system allows for the visual operation of selecting the planned observation time, and inputting the planned emergency start observation time and the planned emergency end observation time respectively. Meteorological emergency observations can compile observation requests for up to 5 days. There is no time selection for disaster response observation. The intelligent decision-making system defaults to starting observation 30 minutes after the demand order is initiated. For major support observation, observation demand can be compiled for up to 10 days. Each demand order provides minute-level time resolution. Observation time can be selected during non-satellite platform mission periods. Satellite safety management periods such as flywheel unloading, satellite orbit control, and satellite turning are automatically blocked. The intelligent decision-making module for observation tasks employs a single-threaded rapid imager task planning approach, combining static and dynamic task planning. It maintains a fixed observation range and frequency, and achieves efficient observation decisions through rapid dynamic switching of areas by the payload. Based on the latest meteorological emergency observation request forms, disaster response observation request forms, and major support observation request forms initiated by users at all levels, the module aggregates these requests. It then matches the starting row number, starting column number, ending row number, ending column number, start observation time, and end observation time of the rapid imager observation request area with the existing running rapid imager task schedule, automatically generating a rapid imager observation task request form. After user confirmation, this form is sent to the observation task approval module.

6. A smart decision-making device for rapid imager observation needs, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, enable the one or more processors to implement the intelligent decision-making method for rapid imager observation requirements as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the intelligent decision-making method for observation requirements of a rapid imager as described in any one of claims 1-4.

Citation Information

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