CN116222513A - Intelligent decision method, system and equipment for observing requirement of rapid imager and computer readable storage medium - Google Patents
Intelligent decision method, system and equipment for observing requirement of rapid imager and computer readable storage medium Download PDFInfo
- Publication number
- CN116222513A CN116222513A CN202211581862.9A CN202211581862A CN116222513A CN 116222513 A CN116222513 A CN 116222513A CN 202211581862 A CN202211581862 A CN 202211581862A CN 116222513 A CN116222513 A CN 116222513A
- Authority
- CN
- China
- Prior art keywords
- observation
- requirement
- area
- imager
- rapid
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Radar Systems Or Details Thereof (AREA)
- Feedback Control In General (AREA)
Abstract
The invention discloses a method, a system, equipment and a computer readable storage medium for intelligent decision making of the observation requirement of a rapid imager, wherein the method comprises the following steps: obtaining an observation plan indication, wherein the observation plan indication comprises a plan observation requirement, an emergency observation requirement and a guarantee observation requirement; starting observation task arrangement in response to the observation plan indication; and switching different observation areas according to the observation task time schedule. The invention can respond to the planning at any time, and make decisions according to intelligent regulation and control in real time, so that the intelligent regulation and control system is more intelligent.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to an intelligent decision method, system and equipment for observing requirements of a rapid imager and a computer readable storage medium.
Background
The task management and control subsystem of the current wind cloud No. four (02) batch ground application system adopts a mode of task arrangement before the previous day UT09:00 to generate a working mode of a wind cloud No. four B star load observation task schedule of 24 hours on the whole day of the second day. After the satellite is in orbit, when an emergency change observation area is needed, an observation requirement customer puts forward that the observation requirement cannot know the working state of the satellite platform in time, meanwhile, the satellite operation control needs a plurality of departments to watch for a long time, each observation element is manually decided and the observation area is adjusted according to the paper disaster response observation application form file, the satellite load response is long in time consumption, and a certain operation risk is achieved. The method can not meet the normalized emergency response of the rapid imager to sudden events such as weather disasters, geological disasters and the like and flexible observation requirements to various requirements.
The intelligent decision system for observing the requirements of the rapid imager deploys an observing requirement client in a user unit, realizes situation awareness of the classifying requirements through classifying account management, visually displays satellite safety management events such as flywheel unloading, satellite orbit control, satellite head adjustment and the like which are required to be planned by a satellite platform through the intelligent decision system for observing the requirements of the rapid imager, and provides visual observing available time period decision assistance for observing requirement users and satellite operation control staff; and selecting an observation area in the field of view of the wind cloud No. four B star rapid imager, and superposing the full circular image of the imager at the latest time with the region planning of 2000km x 1800km of the rapid imager to provide intuitive observation area selection decision assistance for observation demand users and satellite operation control staff. The observation requirement clients can directly put forward the observation requirement through the observation requirement clients, the intelligent decision system for the observation requirement of the rapid imager can automate the emergency response satellite command scheduling processing process of the task through the observation requirements of disaster weather, major holidays and the like through intelligent decision, reduce the operation steps of users at all levels, and improve the reliability and timeliness of the observation deployment control process of the rapid imager of the wind cloud No. four B star.
The disaster response observation client is responsible for the interactive perception of the load observation requirement, is respectively deployed in a user unit and a task management and control system, and respectively inputs longitude and latitude information of a central point of an observation target area and total observation time requirement after an observation requirement user logs in, so that the client only receives one emergency observation application within 30min for ensuring satellite safety. The intelligent matching of the observation area adopts the principle that the linear distance of the center point of the target area is nearest, and the optimal planning area unit in the Chinese area and full-disc area lookup table is selected. And (3) carrying out comprehensive conflict analysis according to the existing satellite platform and load operation time table by observing time rationalization analysis, and determining reasonable observing task arrangement. The intelligent emergency observation decision making makes a decision according to the observation area matching result and the observation time rationalization result, if the task arrangement satellite-ground system cannot meet the observation requirement, the intelligent emergency observation decision making system informs an observation requirement user, if the task arrangement satellite-ground system cannot meet the observation requirement, the intelligent emergency observation decision making system automatically generates observation element information such as the starting and ending row number parameters, the starting and ending time parameters of the emergency observation area after the intelligent emergency observation decision making system is manually confirmed by an advanced maintenance user, and further comprehensively generates an emergency observation task schedule of the rapid imager and automatically distributes the emergency observation task schedule to all-level satellite-ground systems through a task management and control system.
The present invention has been made in view of this.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a method, a system, equipment and a computer-readable storage medium for intelligent decision making of the observation requirement of a rapid imager, which can respond to planning and arrangement at any time and make decisions according to intelligent regulation and control in real time so as to be more intelligent.
In order to solve the technical problems, the basic concept of the technical scheme adopted by the invention is as follows:
an intelligent decision method for the observation requirement of a rapid imager, comprising the following steps:
step 1: obtaining an observation plan indication, wherein the observation plan indication comprises a plan observation requirement, an emergency observation requirement and a guarantee observation requirement;
step 2: starting observation task arrangement in response to the observation plan indication;
step 3: and switching different observation areas according to the observation task time schedule.
In a preferred embodiment of any of the foregoing, the planned observed demand includes:
for the weather process occurring in the recent forecast, the observation requirement is proposed by the observation user, and the latest planned observation requirement can automatically cover the last planned observation requirement arrangement, wherein the number of days of the observation requirement arrangement is less than or equal to 5 days.
In a preferred embodiment of any of the foregoing, the emergency observation requirement includes:
aiming at the requirement of the sudden event of temporary quick response, an observation user puts forward the observation requirement, the observation requirement is not selected in time, the observation is immediately executed after being approved by a maintenance user, and the observation area is changed, so that the planned observation requirement can be automatically covered; the guarantee observation requirement includes:
aiming at the planned observation requirement, the observation is initiated by an observation user or a maintenance user, the observation is carried out on a fixed area in a specific time period, the requirement is approved, then the requirement has the highest priority and can not be automatically covered, and the requirement is only manually modified or deleted by the maintenance user.
In a preferred embodiment of any of the above aspects, the observation task arrangement includes:
a planned observation requirement including area information, an observation start time, an observation end time, and a selection start observation time having a minute level, wherein each selection change area is at least one hour apart;
emergency observation requirements, which contain only zone information, only one zone is optional, no time identification.
The observation requirement is guaranteed, the observation requirement only comprises 1 area, the minute-level selection start observation time and the minute-level selection end observation time are met, and the maximum selection time is 10 days.
In a preferred embodiment of any of the above solutions, after switching different observation areas according to the observation task schedule, the method further comprises:
the user selects a central point of an observation demand area in the field of view of the wind cloud No. four B star rapid imager;
the task management and control system automatically extracts a Chinese area lookup table of the rapid imager and a full-disc area planning lookup table of the rapid imager, and screens all planning areas covering the central point of the observation demand area;
the distances between the central point of the observation demand area and the central points of the planning areas are calculated respectively, and the specific calculation formula is as follows: to set two points A, B and coordinates as A (x 1 ,y 1 )、B(x 2 ,y 2 ) The distance between points a and B is:
automatically matching a planning area with the closest central point of the planning area to the central point of the observation demand area, and realizing the matching of the observation area;
automatically outputting load observation information data of a starting line number, a starting column number, an ending line number and an ending column number of a planned observation area of the rapid imager, and 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;
and adding a recently scheduled task list, and assisting an observation requirement user in knowing the recently fast imager observation task schedule and providing satellite task schedule information for an observation decision.
In a preferred embodiment of any of the foregoing aspects, after providing satellite mission scheduling information for observation decisions, further comprising:
providing observation time according to a task schedule of the rapid imager by a task management and control system;
the visual look-up tables of China area and full disc area are used for automatically loading an observation requirement list after the area is selected by an observation requirement user, the latitude and longitude range of a corresponding area, the latitude and longitude of a central point and the area number are popped up after the area is selected by a left key, and the area is selected by a right key;
automatically generating an observation area number in an observation requirement list, observing the observation starting time and the observation ending time of filling and selecting a requirement type and filling and annotating information by an observation user;
and filling all levels of requirements in all levels of requirement lists, and when task time conflict occurs, covering the current level of planning task by the latest task, wherein all the requirement lists are required to be approved and agreed by satellite maintenance users to generate a rapid imager observation task schedule.
In a preferred embodiment of any of the above solutions, after switching different observation areas according to the observation task schedule, the method further comprises:
automatically matching a predefined rapid imager observation mode according to a matching algorithm after the selection;
After confirmation, the user submits the observation requirement to the intelligent control platform;
displaying the execution state of each node of the emergency observation demand response flow of the rapid imager;
the most recent rapid imager images are displayed.
In a second aspect, a fast imager observation need intelligent decision system includes:
the user demand sensing module is used for carrying out interactive sensing on load observation demands and is respectively deployed in a user unit and a task management and control system, longitude and latitude information and total observation time demands of a central point of an observation target area are respectively input after an observation demand user logs in, the user demands are input and managed in a grading mode and are divided into weather emergency observation demands, disaster response observation demands and major guarantee observation demands, wherein weather emergency observation aims at weather processes which are about to happen and are happening in a recent weather forecast, and an observation user initiates a weather emergency observation demand list; the method comprises the steps that a disaster response observation is conducted on random quick response demands of sudden events, and an observation user initiates a disaster response observation demand list; aiming at the planned observation requirement of the major activity, the major guarantee observation requirement list is initiated by an observation user or a satellite maintenance user;
The intelligent matching module of the observation area is used for observing the requirement intelligence by the rapid imager after all levels of users initiate the meteorological emergency observation requirement list, the disaster response observation requirement list and the major guarantee observation requirement listThe method comprises the steps that a decision system client interface performs planned observation area selection visualization operation, an observation area is selected in the view field range of a quick imaging instrument of a star B of the cloud, the visualization interface takes the full-circle image of the imaging instrument of the latest time as a base map, the area range is fixed to be 2000 km x 1800 km, a user selects an observation demand area center point in the view field range of the quick imaging instrument of the star B of the cloud, an observation area intelligent matching module automatically extracts a Chinese area planning lookup table of the quick imaging instrument and a full-circle area planning lookup table of the quick imaging instrument, all planning areas covering the center point of the observation demand area are screened, and the distances between the center point of the observation demand area and the center point of each planning area are calculated respectively, wherein the specific calculation formula is as follows: to set two points A, B and coordinates as A (x 1 ,y 1 )、B(x 2 ,y 2 ) The distance between points a and B is:
wherein: a is the central point of the observation requirement area, and x 1 To observe the longitude of the center point of the required area, y 1 For observing the latitude of the central point of the required area, B is the central point of the planning area of the rapid imager, and x 2 Planning regional center point longitude, y for fast imager 2 Calculating the distances between the planning areas and the central points of the observation requirement areas in the quick imager Chinese area planning lookup table and the quick imager full-disc area planning lookup table which can cover the central points of the observation requirement areas for the latitude of the central points of the planning areas of the quick imager, automatically matching the planning areas of which the central points are closest to the central points of the observation requirement areas, realizing optimal intelligent matching of the observation areas, outputting unique observation requirement planning area numbers, and generating quick imager planning observation area number data;
the intelligent observation time matching module is used for carrying out the visual operation of the selection of the planned observation time by a client interface of the intelligent observation demand decision system of the rapid imager after each level of users initiate a weather emergency observation demand bill, a disaster response observation demand bill and a major guarantee observation demand bill, respectively inputting the planned emergency starting observation time and the planned emergency ending observation time, and the weather emergency observation can be compiled within 5 days at most; no time is selected for disaster response observation, and the intelligent decision system starts to observe 30 minutes after the single-starting moment of the default requirement; the observation requirements can be compiled within 10 days at most, each requirement list provides minute-level time resolution, the observation time can be selected in the non-satellite platform task period, and satellite safety management periods such as flywheel unloading, satellite orbit control and satellite turning can be automatically shielded;
The intelligent observation task decision module is used for adopting an observation strategy of combining single-thread rapid imager task planning, static task planning and dynamic task planning, fixing the size of an observation range and the frequency of observation, realizing high-efficiency observation decision through a load rapid dynamic switching area, automatically generating a rapid imager observation task demand list according to a weather emergency observation demand list, a disaster response observation demand list and a major guarantee observation demand list initiated by all levels of users at the latest moment, respectively transmitting rapid imager observation demand area initial line number data, rapid imager observation demand area end line number data, rapid imager observation demand initial observation time data and rapid imager observation demand end observation time data to an existing running rapid imager task time table after user confirmation, and transmitting the rapid imager observation task demand list to the observation task approval module.
In a third aspect, a fast imager observation need intelligent decision-making device includes:
one or more processors;
and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors realize the intelligent decision method for the observation requirement of the rapid imager.
In a fourth aspect, a computer readable storage medium stores a program that when executed by a processor implements the intelligent decision method for fast imager observation needs.
Compared with the prior art, the intelligent decision-making method for the observation requirements of the rapid imager provided by the embodiment of the application starts the observation task arrangement by responding to the observation plan indication, and switches different observation areas according to the observation task time arrangement, so that the intelligent decision-making method can respond to the plan arrangement at any time and make decisions according to intelligent regulation and control in real time, and is more intelligent.
The following describes the embodiments of the present invention in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. Some specific embodiments of the present application will be described in detail hereinafter by way of example and not by way of limitation with reference to the accompanying drawings. The same reference numbers in the drawings denote the same or similar parts or portions, and it will be understood by those skilled in the art that the drawings are not necessarily drawn to scale, in which:
Fig. 1 is a flow chart of a method for intelligent decision making of the observation requirement of a fast imager according to an embodiment of the present application.
Fig. 2 is a schematic diagram of an intelligent decision system for observing requirements of a fast imager according to an embodiment of the present application.
Fig. 3 is a schematic diagram of an intelligent decision device for observing requirements of a fast imager according to an embodiment of the present application.
It should be noted that these drawings and the written description are not intended to limit the scope of the inventive concept in any way, but rather to illustrate the inventive concept to those skilled in the art by referring to the specific embodiments, the elements of which are schematically represented and not drawn to scale.
Detailed Description
In order to enable those skilled in the art to better understand the present application, the following description will make clear and complete descriptions of the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are merely some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and "second" are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implying a number of technical features being indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
The following embodiments of the present application take a fast imager observation requirement intelligent decision method as an example to describe the scheme of the present application in detail, but the embodiments should not limit the protection scope of the present application.
As shown in fig. 1, the invention provides a method for intelligently deciding the observation requirement of a rapid imager, which comprises the following steps:
step 1: obtaining an observation plan indication, wherein the observation plan indication comprises a plan observation requirement, an emergency observation requirement and a guarantee observation requirement, and the plan observation requirement comprises: aiming at weather processes such as typhoons, storm, strong convection and the like occurring in the recent forecast, an observation user puts forward observation demands, the latest planned observation demands can only automatically cover the last planned observation demand arrangement, and the observation demands can be compiled within 10 days at most; the emergency observation requirement includes: aiming at the temporary quick response requirements of emergencies such as earthquakes, fires, rescue and the like, the observation requirements are provided by the observation users, the observation users have no time selection, the observation areas can be immediately executed after being approved by maintenance users, the observation areas are changed, the priority is higher, and the planned observation requirements can be automatically covered; the guarantee observation requirement includes: the method is initiated by an observing user or a maintenance user aiming at the planned observation requirements such as major activities and the like, and the observation is carried out aiming at a fixed area of a specific time period. After the requirements are approved, with the highest priority, they cannot be automatically overridden, but can only be manually modified or deleted by the maintenance user.
Step 2: and starting the observation task arrangement in response to the observation plan indication, wherein the planned observation requirement comprises area information, observation starting time and observation ending time, and the selection starting observation time of the minute level can be met, but each selection of the change area is at least one hour. Filling 2 areas in one application form, selecting 5 days at most, and submitting the application form only twice a day; the emergency observation requirement only comprises area information, only one area is optional, and no time mark exists; the observation requirement is guaranteed to only comprise 1 area, the minute-level selection start observation time and minute-level selection end observation time can be met, and the maximum selection time is 10 days.
Step 3: and switching different observation areas according to the observation task time schedule.
In the intelligent decision method for the observation requirement of the rapid imager, which is provided by the embodiment of the invention, the following steps are adopted:
selecting an observation area in the field of view of a wind cloud No. B star rapid imager, and fixing the area range to be 2000 kilometers 1800 kilometers by taking the full disc image of the latest time imager as a base map;
the user selects the center point of the observation demand area in the view field range of the wind-cloud No. B star rapid imager, the system automatically extracts the Chinese area lookup table of the rapid imager and the full-disc area planning lookup table of the rapid imager, screens all planning areas covering the center point of the observation demand area, and calculates the distance between the center point of the observation demand area and the center point of each planning area respectively, wherein the specific calculation formula is as follows:
To set two points A, B and coordinates as A (x 1 ,y 1 )、B(x 2 ,y 2 ) The distance between points a and B is: ab=x 1 -x 2 2 +y 1 -y 2 2 The method comprises the steps of carrying out a first treatment on the surface of the And automatically matching a planning area with the center point of the planning area closest to the center point of the observation demand area, realizing the matching of the observation area, and automatically outputting load observation information data of a starting line number, a starting column number, an ending line number and an ending column number of the planning observation area of the rapid imager, wherein the rapid imager plans the information of the starting longitude, the starting latitude, the ending longitude, the ending latitude, the center point longitude and the center point latitude of the observation area.
And adding a recently scheduled task list, and assisting an observation requirement user in knowing the recently fast imager observation task schedule and providing satellite task schedule information for an observation decision.
The intelligent decision system provides observation time according to a task time table of the rapid imager, the observation time does not comprise a star time period (comprising flywheel unloading, future observation, positioning observation, calibration observation and the like), a Chinese area visual lookup table and a full-disc area visual lookup table, an observation requirement user selects an area, after the left key selects the area, the longitude and latitude range of the corresponding area, the longitude and latitude of the central point and the area number are popped up, and the right key clicks the 'select area' and then automatically loads the observation requirement list.
The observation area number is automatically generated in the observation requirement list, the observation start time and the observation end time are selected by an observation user, the requirement type is selected, and the filling information is selected, so that the system has the functions of saving and submitting.
The requirements of each level can be filled in the requirements of each level only, when task time conflict occurs, the latest task can only cover the planning task of the level, and the observation task schedule of the rapid imager can be generated after all the requirements are approved by satellite maintenance users.
Automatically matching a predefined rapid imager observation mode according to a matching algorithm after the selection; after confirmation, the user submits the observation requirement to the intelligent control platform; and displaying the execution state of each node of the emergency observation requirement response flow of the rapid imager and displaying the image of the rapid imager of the latest time.
Hierarchical user management includes: the planning observation users, the central weather desk and the like can log in the inquiry area and the task schedule, and can submit the planning observation task list and the emergency observation task list; the emergency observation users, the national emergency command department and the like can log in the query area and the task schedule, and can submit an emergency observation task list; the satellite maintenance user, the operation and control maintenance personnel and the like can log in the inquiry area and the task schedule, can submit a planned observation task list, an emergency observation task list and a guaranteed observation requirement list, and have the capability of examining and approving the planned observation task list, the emergency observation task list and the guaranteed observation requirement list; the operation monitoring user, demonstration, visiting and operation monitoring personnel can inquire the region to automatically match the demonstration without logging in, and can check the observation task schedule of the current rapid imager.
An intelligent decision system for the observation requirement of a rapid imager is characterized in that: comprising the following steps:
the user demand sensing module is used for carrying out interactive sensing on load observation demands and is respectively deployed in a user unit and a task management and control system, longitude and latitude information and total observation time demands of a central point of an observation target area are respectively input after an observation demand user logs in, the user demands are input and managed in a grading mode and are divided into weather emergency observation demands, disaster response observation demands and major guarantee observation demands, wherein weather emergency observation aims at weather processes which are about to happen and are happening in a recent weather forecast, and an observation user initiates a weather emergency observation demand list; the method comprises the steps that a disaster response observation is conducted on random quick response demands of sudden events, and an observation user initiates a disaster response observation demand list; aiming at the major activity planning observation requirement, a major guarantee observation requirement list is initiated by an observation user or a satellite maintenance user, and the weather emergency observation requirement list and the disaster response observation requirement list comprise the position information of an observation requirement area of a rapid imager and the observation requirement time information of the rapid imager;
The intelligent observation area matching module is used for carrying out the visual operation of planning observation area selection by a client interface of a intelligent rapid imager observation demand decision system after each level of users initiate a weather emergency observation demand bill, a disaster response observation demand bill and a great guarantee observation demand bill, selecting an observation area in the field of view of a wind cloud No. B star rapid imager, fixing the area range to be 2000 kilometers 1800 kilometers by using the full disc image of the nearest time imager as a base map on the visual interface, selecting the central point of the observation demand area in the field of view of the wind cloud No. B star rapid imager by the users, automatically extracting a quick imager Chinese area planning lookup table and a quick imager full disc area planning lookup table by the intelligent observation area matching module, screening all planning areas covering the central point of the observation demand area, and respectively calculating the observation demand areaThe distance between the center point and the center point of each planning area is specifically calculated as follows: to set two points A, B and coordinates as A (x 1 ,y 1 )、B(x 2 ,y 2 ) The distance between points a and B is:
wherein: a is the central point of the observation requirement area, and x 1 To observe the longitude of the center point of the required area, y 1 For observing the latitude of the central point of the required area, B is the central point of the planning area of the rapid imager, and x 2 Planning regional center point longitude, y for fast imager 2 Calculating the distances between the planning areas and the central points of the observation requirement areas in the quick imager Chinese area planning lookup table and the quick imager full-disc area planning lookup table which can cover the central points of the observation requirement areas for the latitude of the central points of the planning areas of the quick imager, automatically matching the planning areas of which the central points are closest to the central points of the observation requirement areas, realizing optimal intelligent matching of the observation areas, outputting unique observation requirement planning area numbers, and generating quick imager planning observation area number data; the intelligent observation area matching module matches a Chinese area planning lookup table of the rapid imager and a unique planning area number corresponding to the full-disc area planning lookup table of the rapid imager according to the planned observation area number data of the rapid imager, and extracts area observation start line number, start column number, end line number and end column number load observation information data of corresponding areas in the lookup table, and area observation start longitude, start latitude, end longitude, end latitude, center point longitude and center point latitude geographic information data; the intelligent matching module of the observation area can be used for pre-displaying the intelligent matching area effect of the rapid imager to each level of users through a visual interface, wherein the image display information comprises an imager full-disc image of the latest time as a base map, an area range is fixed to be 2000 km.1800 km block diagram, and area numbers are used for displaying geographic information data of the initial longitude, the initial latitude, the end longitude and the end latitude of the area observation. The calculation time of the intelligent matching area of the observation area intelligent matching module is less than or equal to 1s, and the result display time of the intelligent matching area is less than or equal to 1s. The user can temporarily adjust the geographical information of the central point of the observation demand area for multiple times according to the predicted effect of the intelligent matching area before confirmation through the visual interface, and the intelligent matching module of the observation area responds to the predicted result after adjustment in real time, and the response time is less than or equal to 1s. The meteorological emergency observation demand sheet can plan 2 observation demand areas in one day, and the disaster response observation demand sheet and the great guarantee observation demand sheet can only plan 1 observation demand area in one day; after the multi-stage user confirms the required observation area, the intelligent observation area matching module generates starting line number data of the required observation area of the rapid imager, ending line number data of the required observation area of the rapid imager, and sends the starting line number data and the starting line number data to the intelligent observation task decision module;
the intelligent observation time matching module is used for carrying out the visual operation of the selection of the planned observation time by a client interface of the intelligent observation demand decision system of the rapid imager after each level of users initiate a weather emergency observation demand bill, a disaster response observation demand bill and a major guarantee observation demand bill, respectively inputting the planned emergency starting observation time and the planned emergency ending observation time, and the weather emergency observation can be compiled within 5 days at most; no time is selected for disaster response observation, and the intelligent decision system starts to observe 30 minutes after the single-starting moment of the default requirement; the observation requirements can be compiled within 10 days at most, each requirement list provides minute-level time resolution, the observation time can be selected in the non-satellite platform task period, and satellite safety management periods such as flywheel unloading, satellite orbit control and satellite turning can be automatically shielded; the intelligent observation time matching module can be used for intelligently matching the time effect of the rapid imager in real time, pre-displaying the time effect to users at all levels through a visual interface, and the image display information comprises the weather emergency observation requirement, the disaster response observation requirement and the major guarantee observation requirement planning arrangement in the last 10 days. When the observation requirement of the rapid imager conflicts with the planning arrangement, the weather emergency observation requirement list can only automatically change the weather emergency observation time; the disaster response observation demand bill has higher priority and can automatically cover the weather emergency observation time period; the important guarantee observation demand list has the highest priority, can automatically cover the weather emergency observation time period and the disaster response observation demand time period, and the planned important guarantee observation time can not be automatically covered and can only be manually modified or deleted by satellite maintenance users. The intelligent matching time calculation time of the observation area intelligent matching module is less than or equal to 1s, and the intelligent matching time result display time is less than or equal to 1s. The user can temporarily adjust the observation requirement time information for a plurality of times according to the intelligent matching time prediction effect before confirmation through the visual interface, and the intelligent matching time module of the observation area responds to the adjusted prediction result in real time, and the response time is less than or equal to 1s. The meteorological emergency observation demand sheet can plan 2 observation demand periods in one day, and the disaster response observation demand sheet and the great guarantee observation demand sheet can only plan 1 observation demand period in one day. After the multi-stage user confirms the requirement observation area, the observation time intelligent matching module generates the observation requirement time data of the rapid imager, wherein the observation requirement starting observation time data of the rapid imager and the observation requirement ending observation time data of the rapid imager are included, and the observation requirement starting observation time data and the observation requirement ending observation time data of the rapid imager are sent to the observation task intelligent decision module.
The intelligent observation task decision module is used for adopting an observation strategy of combining single-thread rapid imager task planning, static task planning and dynamic task planning, fixing the size of an observation range and the frequency of observation, realizing high-efficiency observation decision through a load rapid dynamic switching area, automatically generating a rapid imager observation task demand list according to a weather emergency observation demand list, a disaster response observation demand list and a major guarantee observation demand list initiated by all levels of users at the latest moment, respectively transmitting rapid imager observation demand area initial line number data, rapid imager observation demand area end line number data, rapid imager observation demand initial observation time data and rapid imager observation demand end observation time data to an existing running rapid imager task time table after user confirmation, and transmitting the rapid imager observation task demand list to the observation task approval module.
The intelligent decision module of the observation task has the capability of responding to each level of user to initiate a weather emergency observation requirement list, responding to a disaster observation requirement list and greatly guaranteeing the observation requirement list in real time, and if the start observation time and the end observation time of the observation requirement list are overlapped with the time periods of positioning calibration tasks such as infrared background observation, blackbody calibration observation, landmark observation, sidereal observation and the like in the task time table of the existing running fast imager, the decision start observation time and the end observation time automatically extend to 1min after the satellite safety management time period, and the start line number data of an observation planning area of the fast imager, the end line number data of an observation planning area of the fast imager, the start observation time data of the observation planning of the fast imager and the end observation time data of the observation planning of the fast imager are generated. The intelligent observation task decision module can pre-display the requirement list of the observation task of the rapid imager to users at all levels through a visual interface, and the image display information comprises key information such as observation area change, start observation time, end observation time and the like at all periods.
The time consumption of the intelligent decision time calculation of the observation task intelligent decision module is less than or equal to 1s, and the time consumption of the intelligent decision time result display is less than or equal to 1s. The user can withdraw the weather emergency observation demand form, the disaster response observation demand form and the major guarantee observation demand form according to the intelligent decision prediction effect before confirmation through the visual interface, and the intelligent decision module of the observation task responds to withdrawal instructions of the users of each level in real time, and the response time is less than or equal to 1s.
And the observation task approval module is used for logging in and controlling by a satellite maintenance user, and carrying out comprehensive conflict analysis according to the observation task demand list of the rapid imager and the existing satellite platform and the load operation schedule after the satellite maintenance user logs in, if approval is confirmed, the observation task demand list of the rapid imager is automatically sent to the task schedule generation module of the rapid imager, and if approval is failed, the intelligent decision system for the observation demand of the rapid imager sends approval failure information to all levels of users. The observation task approval module has real-time response capability, the time consumption of satellite maintenance user approval confirmation or non-passing response is less than or equal to 1s, the time consumption of automatic transmission of the observation task demand sheet of the rapid imager is less than or equal to 1s, and the time consumption of transmitting approval non-passing information to users at all levels is less than or equal to 1s.
The rapid imager task schedule generation module is used for extracting rapid imager observation planning area start line number data, rapid imager observation planning area end line number data, rapid imager observation planning start observation time data and rapid imager observation planning end observation time data according to a rapid imager observation task demand sheet, generating rapid imager observation area start line number data, rapid imager observation area end line number data, rapid imager observation start observation time data and rapid imager observation end observation time data, and automatically generating the rapid imager task schedule to be sent to the rapid imager satellite-ground command scheduling module.
And the quick imager star-ground command scheduling module is used for adopting double threads to concurrently execute automatic operation, so as to realize the unified command scheduling of emergency response full-service flow of data processing, product generation and broadcasting of the quick imager deployment observation wind cloud No. four (02) batch ground application system.
The wind cloud No. B star load instructions are all 2h upstream, the quick imager star-ground command scheduling module automatically pauses quick imager load measurement and control and clears the upstream load instructions on the star, a ground system is scheduled to update a load emergency observation task template, an emergency task schedule is issued to a positioning and registration system, the positioning and registration system generates a parameter file for an observation instruction, an emergency observation operation plan is updated to generate an emergency observation task instruction, and further the load measurement and control starting observation instruction upstream is restored to complete emergency observation deployment of the quick imager; and the system is executed in parallel, firstly, a load task operation plan is automatically updated and issued to each system, secondly, a data acquisition and measurement and control system, a positioning and registration system, a calibration and authenticity checking system and a product generating system are automatically analyzed and automatically execute each system task according to the new time table, a data service system issues the task time table, and the data acquisition and measurement and control system updates and loads the switched product broadcasting plan, so that the ground system emergency observation data processing and deployment are completed. The task management and control system monitors the business observation mode after the response switching in a whole system mode, and sends a notice before the switching process is started and ended, wherein the content comprises switching starting time and switching area, if abnormal conditions occur during the command and dispatch of the satellite-to-ground system, the module automatically pauses the current step to switch to a manual operation mode, and sends a warning notice.
A hierarchical user management module comprising a planned observation user: a central weather desk and the like can log in a query area and a task schedule, and can submit a planned observation task list and an emergency observation task list; emergency observation user: the national emergency command part can log in the query area and the task schedule, and can submit an emergency observation task list; the satellite maintenance user, the operation and control maintenance personnel and the like can log in the inquiry area and the task schedule, can submit a planned observation task list, an emergency observation task list and a major security observation list, and have the capability of examining and approving the planned observation task list, the emergency observation task list and the major security observation list; operation monitoring user: demonstration, visiting and operation monitoring personnel can inquire without logging in.
The fast imager observation need intelligent decision-making device shown in fig. 3 is only an example and should not impose any limitation on the functionality and scope of use of embodiments of the present invention.
As shown in fig. 3, the fast imager observation need intelligent decision device is in the form of a general purpose computing device. Components of the fast imager observation need intelligent decision device may include, but are not limited to: one or more processors or processing units, a memory, a bus that connects the various system components (including the memory and the processing units).
Bus means one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
The fast imager observation need intelligent decision-making device typically includes a variety of computer system readable media. Such media can be any available media that can be accessed by the rapid imager observation requiring intelligent decision making devices, including both volatile and nonvolatile media, removable and non-removable media.
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 fast imager observation need intelligent decision device may further comprise other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, a storage system may be used to read from or write to a non-removable, non-volatile magnetic media (not shown in FIG. 3, commonly referred to as a "hard disk drive"). Although not shown in fig. 3, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be coupled to the bus through one or more data medium interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the embodiments of the invention.
A program/utility having a set (at least one) of program modules may be stored, for example, in a memory, such program modules including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules typically carry out the functions and/or methods of the embodiments described herein.
The fast imager observation need intelligent decision device may also communicate with one or more external devices (e.g., keyboard, pointing device, display, etc.), with one or more devices that enable a user to interact with the fast imager observation need intelligent decision device, and/or with any device (e.g., network card, modem, etc.) that enables the fast imager observation need intelligent decision device to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface. Also, the fast imager observation need intelligent decision device may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via a network adapter. As shown, the network adapter communicates with other modules of the fast imager observation need intelligent decision device via a bus. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in connection with the rapid imager observation need intelligent decision apparatus, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit executes programs stored in the memory to perform various functional applications and data processing, for example, to implement the processing method for intelligent decision-making of the observation requirement of the fast imager provided by any embodiment of the invention. Namely: obtaining an observation plan indication, wherein the observation plan indication comprises a plan observation requirement, an emergency observation requirement and a guarantee observation requirement; starting observation task arrangement in response to the observation plan indication; and switching different observation areas according to the observation task time schedule.
The embodiment of the invention also provides a computer readable storage medium, in which a program is stored, the program when executed by a processor implements a stack splitting processing method according to any embodiment of the invention, the method comprising:
obtaining an observation plan indication, wherein the observation plan indication comprises a plan observation requirement, an emergency observation requirement and a guarantee observation requirement;
step 2: starting observation task arrangement in response to the observation plan indication;
step 3: and switching different observation areas according to the observation task time schedule.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. An intelligent decision method for the observation requirement of a rapid imager is characterized by comprising the following steps:
step 1: obtaining an observation plan indication, wherein the observation plan indication comprises a plan observation requirement, an emergency observation requirement and a guarantee observation requirement;
step 2: starting observation task arrangement in response to the observation plan indication;
step 3: and switching different observation areas according to the observation task time schedule.
2. The method of claim 1, wherein the planning observation requirement comprises:
for the weather process occurring in the recent forecast, the observation requirement is proposed by the observation user, and the latest planned observation requirement can automatically cover the last planned observation requirement arrangement, wherein the number of days of the observation requirement arrangement is less than or equal to 5 days.
3. The intelligent decision-making method for the observation requirement of the rapid imager according to claim 2, wherein: the emergency observation requirement includes:
aiming at the requirement of the sudden event of temporary quick response, an observation user puts forward the observation requirement, the observation requirement is not selected in time, the observation is immediately executed after being approved by a maintenance user, and the observation area is changed, so that the planned observation requirement can be automatically covered; the guarantee observation requirement includes:
aiming at the planned observation requirement, the observation is initiated by an observation user or a maintenance user, the observation is carried out on a fixed area in a specific time period, the requirement is approved, then the requirement has the highest priority and can not be automatically covered, and the requirement is only manually modified or deleted by the maintenance user.
4. A rapid imager observation demand intelligent decision method as in claim 3, wherein: the observation task arrangement includes:
a planned observation requirement including area information, an observation start time, an observation end time, and a selection start observation time having a minute level, wherein each selection change area is at least one hour apart;
emergency observation requirements, which contain only zone information, only one zone is optional, no time identification.
The observation requirement is guaranteed, the observation requirement only comprises 1 area, the minute-level selection start observation time and the minute-level selection end observation time are met, and the maximum selection time is 10 days.
5. The intelligent decision-making method for the observation requirement of the rapid imager according to claim 4, wherein: after switching different observation areas according to the observation task schedule, further comprising:
the user selects a central point of an observation demand area in the field of view of the wind cloud No. four B star rapid imager;
the task management and control system automatically extracts a Chinese area lookup table of the rapid imager and a full-disc area planning lookup table of the rapid imager, and screens all planning areas covering the central point of the observation demand area;
the distances between the central point of the observation demand area and the central points of the planning areas are calculated respectively, and the specific calculation formula is as follows: to set two points A, B and coordinates as A (x 1 ,y 1 )、B(x 2 ,y 2 ) The distance between points a and B is:
automatically matching a planning area with the closest central point of the planning area to the central point of the observation demand area, and realizing the matching of the observation area;
automatically outputting load observation information data of a starting line number, a starting column number, an ending line number and an ending column number of a planned observation area of the rapid imager, and 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;
And adding a recently scheduled task list, and assisting an observation requirement user in knowing the recently fast imager observation task schedule and providing satellite task schedule information for an observation decision.
6. The intelligent decision-making method for the observation requirement of the rapid imager according to claim 5, wherein: after providing satellite mission scheduling information for observation decisions, further comprising:
providing observation time according to a task schedule of the rapid imager by a task management and control system;
the visual look-up tables of China area and full disc area are used for automatically loading an observation requirement list after the area is selected by an observation requirement user, the latitude and longitude range of a corresponding area, the latitude and longitude of a central point and the area number are popped up after the area is selected by a left key, and the area is selected by a right key;
automatically generating an observation area number in an observation requirement list, observing the observation starting time and the observation ending time of filling and selecting a requirement type and filling and annotating information by an observation user;
and filling all levels of requirements in all levels of requirement lists, and when task time conflict occurs, covering the current level of planning task by the latest task, wherein all the requirement lists are required to be approved and agreed by satellite maintenance users to generate a rapid imager observation task schedule.
7. The intelligent decision-making method for the observation requirement of the rapid imager according to claim 6, wherein: after switching different observation areas according to the observation task schedule, further comprising:
automatically matching a predefined rapid imager observation mode according to a matching algorithm after the selection;
after confirmation, the user submits the observation requirement to the intelligent control platform;
displaying the execution state of each node of the emergency observation demand response flow of the rapid imager;
the most recent rapid imager images are displayed.
8. An intelligent decision system for the observation requirement of a rapid imager is characterized in that: comprising the following steps:
the user demand sensing module is used for carrying out interactive sensing on load observation demands and is respectively deployed in a user unit and a task management and control system, longitude and latitude information and total observation time demands of a central point of an observation target area are respectively input after an observation demand user logs in, the user demands are input and managed in a grading mode and are divided into weather emergency observation demands, disaster response observation demands and major guarantee observation demands, wherein weather emergency observation aims at weather processes which are about to happen and are happening in a recent weather forecast, and an observation user initiates a weather emergency observation demand list; the method comprises the steps that a disaster response observation is conducted on random quick response demands of sudden events, and an observation user initiates a disaster response observation demand list; aiming at the planned observation requirement of the major activity, the major guarantee observation requirement list is initiated by an observation user or a satellite maintenance user;
The observation area intelligent matching module is used for carrying out planning observation area selection visualization operation by a client interface of the intelligent decision system of the observation requirements of the rapid imager after each level of users initiate a weather emergency observation requirement list, a disaster response observation requirement list and a major guarantee observation requirement list, selecting an observation area in the view field range of the rapid imaging instrument of the fourth satellite of the wind cloud, fixing the area range of the visualization interface to be 2000 kilometers 1800 kilometers by taking the full disc image of the imaging instrument of the last time as a base map, selecting an observation requirement area central point in the view field range of the rapid imaging instrument of the fourth satellite of the wind cloud by the user, automatically extracting a Chinese area planning lookup table of the rapid imaging instrument and a full disc area planning lookup table of the rapid imaging instrument, screening all planning areas covering the central points of the observation requirement area, and respectively calculating the distances between the central points of the observation requirement area and the central points of the planning areas, wherein the specific calculation formula is as follows: to set two points A, B and coordinates as A (x 1 ,y 1 )、B(x 2 ,y 2 ) The distance between points a and B is:
wherein: a is the central point of the observation requirement area, and x 1 To observe the longitude of the center point of the required area, y 1 For observing the latitude of the central point of the required area, B is the central point of the planning area of the rapid imager, and x 2 Planning regional center point longitude, y for fast imager 2 Calculating the distances between the planning areas and the central points of the observation requirement areas in the quick imager Chinese area planning lookup table and the quick imager full-disc area planning lookup table which can cover the central points of the observation requirement areas for the latitude of the central points of the planning areas of the quick imager, automatically matching the planning areas of which the central points are closest to the central points of the observation requirement areas, realizing optimal intelligent matching of the observation areas, outputting unique observation requirement planning area numbers, and generating quick imager planning observation area number data;
the intelligent observation time matching module is used for carrying out the visual operation of the selection of the planned observation time by a client interface of the intelligent observation demand decision system of the rapid imager after each level of users initiate a weather emergency observation demand bill, a disaster response observation demand bill and a major guarantee observation demand bill, respectively inputting the planned emergency starting observation time and the planned emergency ending observation time, and the weather emergency observation can be compiled within 5 days at most; no time is selected for disaster response observation, and the intelligent decision system starts to observe 30 minutes after the single-starting moment of the default requirement; the observation requirements can be compiled within 10 days at most, each requirement list provides minute-level time resolution, the observation time can be selected in the non-satellite platform task period, and satellite safety management periods such as flywheel unloading, satellite orbit control and satellite turning can be automatically shielded;
The intelligent observation task decision module is used for adopting an observation strategy of combining single-thread rapid imager task planning, static task planning and dynamic task planning, fixing the size of an observation range and the frequency of observation, realizing high-efficiency observation decision through a load rapid dynamic switching area, automatically generating a rapid imager observation task demand list according to a weather emergency observation demand list, a disaster response observation demand list and a major guarantee observation demand list initiated by all levels of users at the latest moment, respectively transmitting rapid imager observation demand area initial line number data, rapid imager observation demand area end line number data, rapid imager observation demand initial observation time data and rapid imager observation demand end observation time data to an existing running rapid imager task time table after user confirmation, and transmitting the rapid imager observation task demand list to the observation task approval module.
9. Intelligent decision-making equipment for observing requirements of rapid imager, which is characterized by comprising:
one or more processors;
storage means for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the fast imager observation need intelligent decision method of any one of claims 1-7.
10. A computer readable storage medium, wherein a program is stored in the computer readable storage medium, and when executed by a processor, the program implements the intelligent decision method for observing a requirement of a fast imager according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211581862.9A CN116222513A (en) | 2022-12-09 | 2022-12-09 | Intelligent decision method, system and equipment for observing requirement of rapid imager and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211581862.9A CN116222513A (en) | 2022-12-09 | 2022-12-09 | Intelligent decision method, system and equipment for observing requirement of rapid imager and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116222513A true CN116222513A (en) | 2023-06-06 |
Family
ID=86581316
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211581862.9A Pending CN116222513A (en) | 2022-12-09 | 2022-12-09 | Intelligent decision method, system and equipment for observing requirement of rapid imager and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116222513A (en) |
-
2022
- 2022-12-09 CN CN202211581862.9A patent/CN116222513A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7653609B2 (en) | System and method for managing a chaotic event by optimizing decision subdivisions subject to multidimensional constraints | |
| US7647286B2 (en) | System and method for managing a chaotic event by providing optimal and adaptive sequencing of decision sets with supporting data | |
| US7747382B2 (en) | Methods and systems for real-time enhanced situational awareness | |
| US7647288B2 (en) | System and method for optimally customizable and adaptive personalized information display for information associated with managing a chaotic event | |
| US7698246B2 (en) | System and method for optimal and adaptive process unification of decision support functions associated with managing a chaotic event | |
| CN102124486B (en) | Apparatus and associated method for tracking aircraft status | |
| CN111191920A (en) | Large-scale ground resource scheduling method and device | |
| CN101663685A (en) | Resource scheduling with rule violation feedback | |
| CN109523193A (en) | Flight control and task management system, method, apparatus and readable storage medium storing program for executing | |
| CN105139606B (en) | A kind of low flyer information interaction system | |
| CN104916167A (en) | System and method for intelligently mining information and briefing an aircrew on condition outside the aircraft | |
| US20120278092A1 (en) | Communication management systems and methods | |
| CN104143271A (en) | System and method for providing advisory support information on downlink clearance and reports | |
| CN110570057A (en) | petrochemical enterprise emergency resource management and scheduling system and method | |
| CN107527160A (en) | Aviation emergency management and rescue command scheduling management platform and emergency rescue system | |
| CN116745787A (en) | Method and system for generating an overall airline dispatch restoration solution that considers operations, crewmembers, and passengers | |
| CN115629406A (en) | Automatic observation mode switching method, system, equipment and computer readable storage medium | |
| CN116222513A (en) | Intelligent decision method, system and equipment for observing requirement of rapid imager and computer readable storage medium | |
| CN103064897B (en) | Geographical entity information loading method and system based on generalized information system | |
| US11551558B1 (en) | Airline flight operations support | |
| US9862501B2 (en) | Method and systems for integrated global view of operations | |
| US20100161153A1 (en) | Method and apparatus for automatically determining stopover airports for flight planning | |
| US11472567B2 (en) | Systems and methods for presenting environment information on a mission timeline | |
| Sharma et al. | Dynamic Path Planning Automation Concept for Advanced Air Mobility | |
| US20110282680A1 (en) | Communication management systems and methods |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |