CN117436638A - Multi-user collaborative task planning system and method based on BS architecture and GIS interaction - Google Patents

Abstract

A multi-user collaborative task planning system and method based on BS architecture and GIS interaction belong to the technical field of earth observation remote sensing satellites. The invention comprises a server side and a task planning server; the server side receives the user operation instruction, generates corresponding task demands and provides corresponding data packets; matching corresponding geographic data from the GIS server according to the task planning result, and then sending the task planning result combined with the geographic data to the browser end; and the task planning server performs task planning according to the data packet provided by the server side and combining the target and demand information which is extracted from the database and corresponds to the task demand, the historical result of task planning, the satellite orbit extrapolation result and the user historical information which are extracted from the planning parameter database. The invention provides a multi-user task planning system architecture based on a BS architecture, which can realize the functions of flexible expansion of software, parallel use of multiple persons, flexible access of a new module and the like.

Description

Multi-user collaborative task planning system and method based on BS architecture and GIS interaction

Technical field

The invention relates to a multi-user collaborative mission planning system and method based on BS architecture and GIS interaction, and belongs to the technical field of earth observation remote sensing satellites.

Background technique

With the increase in the number of remote sensing satellites and the improvement of satellite capabilities, the number of satellite requirements has also increased significantly. With the existing software model, satellite control personnel can only collect user imaging requirements and input them uniformly. This usage pattern will consume a lot of time in the requirement input process, seriously affecting the ease of use of the software. By adopting the browser/server structure, referred to as the B/S (Browser/Server) structure, multiple users can directly query the server through the IE browser to submit observation task requirements, and the server comprehensively processes user requests. The use of this software architecture can meet the needs of multiple people and parallel task planning. Based on the B/S architecture task planning platform, multiple clients can be used to enter task planning requirements and display planning results, and the planning algorithm can be called on the server to perform unified task planning for multi-channel planning requirements.

The user interaction and demonstration base map of the current mission planning software is an STK map, which has poor clarity.

Contents of the invention

The technical problems solved by the present invention are: overcoming the shortcomings of the existing technology, providing a multi-user collaborative task planning system and method based on BS architecture and GIS interaction, B/S-based software system architecture design, and GIS-based user interaction interface construction and dynamic task planning

The technical solution of the present invention is: a multi-user collaborative task planning system based on BS architecture and GIS interaction, including:

The browser side receives user operation instructions and sends them to the server side; receives the task planning results sent by the server side and displays them;

The server side receives user operation instructions, generates corresponding task requirements, and provides corresponding data packages to the task planning server; receives the task planning results sent by the task planning server, and matches the corresponding geographical data from the GIS server based on the task planning results, and then Send the task planning results combined with geographical data to the browser;

The mission planning server, based on the data package provided by the server, combines the target and demand information extracted from the database corresponding to the mission requirements, as well as the historical results of mission planning, satellite orbit extrapolation results and user history extracted from the planning parameter database. information, carry out mission planning, output the mission planning results to the server and store them in the planning parameter database;

A database used to provide the mission planning server with goal and demand information corresponding to the task requirements, and export the goal and demand information corresponding to the task requirements;

Planning parameter database, used to store and provide historical results of mission planning, satellite orbit extrapolation results and user historical information;

GIS server, used to provide geographic data.

Further, the mission planning includes:

The task planning server allocates circles to the data packets based on the target and demand information and planning parameters, and sends the circle allocation results to the server;

The server side filters the circle allocation results provided by the task planning server according to the preset rules, and sends the filtered results to the task planning server;

The task planning server performs strip decomposition on the circle allocation and screening results sent by the server, then sorts the decomposed strips, and starts task planning for the sorted strips.

Furthermore, the mission planning also includes:

The mission planning server plays back and evaluates the mission planning results, and sends the evaluation results to the server.

Further, during the process of new task planning, according to the new task requirements, the task planning server combines the planning results stored in the planning parameter database to perform re-planning.

Further, matching the corresponding geographical data from the GIS server according to the task planning results includes:

The server side extracts the corresponding geographical data from the GIS server based on the task planning results and the target and demand information extracted from the database, and matches the extracted geographical data with the task planning results to form a task plan including target information corresponding to the task requirements. result.

Further, the method for matching corresponding geographical data from the GIS server is the CesiumJS engine.

Further, the satellite orbit extrapolation result includes a satellite LLA data file. The satellite LLA data file includes time, latitude, longitude, altitude, and their corresponding rates, one piece of data per second, and the time length is 24 hours; The historical results of mission planning include the ImagingData_Simple file, ImagingData_Complex file and ManeuverData_All file; the ImagingData_Simple file is used to describe the imaging starting time of a target for every two lines, with the top being the start and the bottom being the end; the ImagingData_Complex file is used to describe each imaging The entire process of target imaging is recorded every 250 milliseconds; the ManeuverData_All file is used to record data of the satellite imaging process and maneuvering process.

A multi-user collaborative task planning method based on the interaction between BS architecture and GIS, including:

Receive user operation instructions and generate corresponding task requirements and corresponding data packages;

According to the data package and combined with the target and demand information corresponding to the mission requirements, as well as the historical results of mission planning, satellite orbit extrapolation results and user historical information, mission planning is performed, and the mission planning results are generated and displayed;

Match the corresponding geographical data from the GIS server according to the task planning results, and then display the task planning results combined with the geographical data.

Further, the mission planning includes:

Allocate data packets in circles based on target and demand information and planning parameters;

Filter the lap allocation results according to preset rules;

Decompose the circle allocation screening results into strips, then sort the decomposed strips, and start task planning for the sorted strips;

The mission planning also includes: playback and evaluation of mission planning results;

During the process of new task planning, re-planning is performed based on the new task requirements and the stored planning results.

Further, matching the corresponding geographical data from the GIS server according to the task planning results includes:

According to the task planning results and target and demand information, the corresponding geographical data is extracted from the GIS server, and the extracted geographical data is matched with the task planning results to form a task planning result including target information corresponding to the task requirements;

The method of matching corresponding geographical data from the GIS server is the CesiumJS engine;

The satellite orbit extrapolation results include satellite LLA data files. The satellite LLA data files include time, latitude, longitude, altitude, and their corresponding rates, one piece of data per second, and the time length is 24 hours; the mission planning The historical results include the ImagingData_Simple file, the ImagingData_Complex file and the ManeuverData_All file; the ImagingData_Simple file is used to describe the imaging start time of one target in every two lines, with the top being the start and the bottom being the end; the ImagingData_Complex file being used to describe the imaging time of each imaging target The entire process is recorded every 250 milliseconds; the ManeuverData_All file is used to record data of the satellite imaging process and maneuvering process.

The advantages of the present invention compared with the prior art are:

The present invention proposes a multi-user task planning system architecture based on BS architecture, which can realize functions such as flexible expansion of software, parallel use by multiple people, and flexible access of new modules. The interactive display interface and visual display with good experience have the visualization of the display results and the interactivity of the use process, making it easy for users to capture the data information they care about in a timely manner.

Description of the drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for the purpose of illustrating preferred embodiments only and are not to be construed as limiting the invention. Also throughout the drawings, the same reference characters are used to designate the same components. In the attached picture:

Figure 1 is a system data flow diagram based on multi-user task planning based on BS architecture;

Figure 2 is a diagram of the interaction process between the planning server and the web server;

Figure 3 shows the direct interface relationship between GIS and other parts of mission planning.

Detailed ways

In order to better understand the above technical solution, the technical solution of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are a detailed description of the technical solution of the present application, and This is not intended to limit the technical solution of the present application. If there is no conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

The multi-user collaborative task planning system based on BS architecture and GIS interaction provided by the embodiment of the present application will be further described in detail below in conjunction with the accompanying drawings of the description, as shown in Figure 1. The specific implementation method may include:

The browser side receives user operation instructions and sends them to the server side; receives the task planning results sent by the server side and displays them;

The server side receives user operation instructions, generates corresponding task requirements, and provides corresponding data packages to the task planning server; receives the task planning results sent by the task planning server, and matches the corresponding geographical data from the GIS server based on the task planning results, and then Send the task planning results combined with geographical data to the browser;

The mission planning server, based on the data package provided by the server, combines the target and demand information extracted from the database corresponding to the mission requirements, as well as the historical results of mission planning, satellite orbit extrapolation results and user history extracted from the planning parameter database. information, carry out mission planning, output the mission planning results to the server and store them in the planning parameter database;

A database used to provide the mission planning server with goal and demand information corresponding to the task requirements, and export the goal and demand information corresponding to the task requirements;

Planning parameter database, used to store and provide historical results of mission planning, satellite orbit extrapolation results and user historical information;

GIS server, used to provide geographic data.

Further, the mission planning includes:

The task planning server allocates circles to the data packets based on the target and demand information and planning parameters, and sends the circle allocation results to the server;

The server side filters the circle allocation results provided by the task planning server according to the preset rules, and sends the filtered results to the task planning server;

The task planning server performs strip decomposition on the circle allocation and screening results sent by the server, then sorts the decomposed strips, and starts task planning for the sorted strips.

In a possible implementation manner, the mission planning further includes:

The mission planning server plays back and evaluates the mission planning results, and sends the evaluation results to the server.

In one possible implementation method, during the process of new mission planning, the mission planning server performs re-planning based on the new mission requirements in combination with the planning results stored in the planning parameter database.

Further, in a possible implementation manner, matching the corresponding geographical data from the GIS server according to the task planning results includes:

The server side extracts the corresponding geographical data from the GIS server based on the task planning results and the target and demand information extracted from the database, and matches the extracted geographical data with the task planning results to form a task plan including target information corresponding to the task requirements. result.

In one possible implementation manner, the method for matching corresponding geographic data from the GIS server is a CesiumJS engine.

In one possible implementation, the satellite orbit extrapolation result includes a satellite LLA data file. The satellite LLA data file includes time, latitude, longitude, altitude, and their corresponding rates, one piece of data per second, and the time length. is 24 hours; the historical results of the mission planning include the ImagingData_Simple file, the ImagingData_Complex file and the ManeuverData_All file; the ImagingData_Simple file is used to describe the imaging starting time of a target for every two lines, with the top being the start and the bottom being the end; the ImagingData_Complex file It is used to describe the entire process of imaging each imaging target, and one record is recorded every 250 milliseconds; the ManeuverData_All file is used to record the data of the satellite imaging process and maneuvering process.

In the solution provided by the embodiment of this application, the multi-user collaborative task planning method based on the interaction between BS architecture and GIS includes:

1) Users put forward requirements for operating web pages;

2) The web page exchanges information with the web server;

3) The web server provides data packets to the task planning server, and the task planning server starts to allocate circles;

4) The task planning server provides the circle allocation results to the web server;

5) After the circle allocation is completed, the strips are decomposed;

6) The web server screens out the appropriate circle allocation results and then decomposes the strips;

7) Sort the decomposed strips;

8) Start task planning for the sorted strips;

9) Output the task planning results and store them;

10) Provide the task planning results to the web server;

11) The task planning server makes a playback request;

12) Play back the planned results;

13) The task planning server outputs the playback results to the web server;

14) The mission planning server evaluates the playback results;

15) The task planning server outputs the evaluation results to the web server;

16) When there are new tasks but the planned results can be used to save time, the task planning server will re-plan;

17) Output the re-planning results;

18) Provide necessary parameters to the mission planning server;

19) The database provides necessary requirements and target information to the mission planning server;

20) The database exports the target and demand information into an XML format file.

Step 1, browser side: web server

The specific implementation is as follows: WEB server with B/S structure, based on Java application technology and SOA open system framework, structured design, flexible and detachable, with flexible expandable interface, easy to modify and adjust, secondary development and expansion , to minimize system implementation risks caused by algorithm system technology upgrades and ensure the effectiveness and continuity of project implementation. The architecture uses JavaEE based on the Web platform development specification implemented in the Java language. It has the cross-platform characteristics of "write once, run anywhere" of the Java programming language. Its core technologies are mainly Java Servlet, JavaBean, Jsp, XML technology, etc. At the same time, these technologies It is also the basis for Java Web application development. Java EE uses a multi-layer application model to classify business logic according to different functions and encapsulate it into different application layers. Changes in any application layer only affect the current application layer and will not affect other application layers or other application layers. Large, the system has high scalability and maintainability.

The user interface adopts the current mainstream flat style on the Internet, based on HTML5 and JQuery technology; the user interface can automatically identify the user terminal screen size and resolution, and make corresponding adjustments to the display content and style; the WEB front-end renders 3D based on three.js Globe, 2D area maps, and various GIS features. It can run on browsers that support the latest HTML5 standard without installing any plug-ins, providing good touch support. Supports WebGL hardware acceleration, suitable for displaying dynamic data on GIS layers, and adopts the webgis presentation layer of cross-platform international mainstream technology. It supports a variety of data visualization methods, and can draw various geometric figures, import pictures, and satellite 3D models. The visualization system runs WebGL display, combined with 3D graphics, to display the user's characteristic business and workflow. According to different objects, multi-theme, multi-scene, multi-level, multi-dimensional and multi-style display is adopted, and the system supports large-resolution display. At the same time, it supports dynamic data display based on the timeline and draws satellite orbits.

Step 2, task planning server

Its main functions are as follows:

1) Complete the management of satellite resources, ground station resources, relay satellite resources, and satellite model parameters. Complete the entry and editing of various resource information.

2) To implement the processing and planning of user observation tasks, first combine regional targets, stereoscopic observation or general trajectory targets with satellite orbits to calculate the visible time window of the target, and then determine the optimal circle of the target based on the length of the visible time window. The second and second best laps are displayed on the interface for users to choose.

3) Database management.

4) Parallel operation. Since there is more than one user accessing the task planning server at the same time, the task planning server must support a parallel operation mechanism to handle the simultaneous occurrence of multiple events.

5) Receive the task planning file from the Web server and send the planned results back to the Web server.

6) Evaluation of mission planning results (such as mission quantity satisfaction, mission quality completion, satellite utilization, etc.).

7) Transmit data and server status information with the front-end web server.

As shown in Figure 2, the specific method is a diagram of the interaction process between the planning server and the web server.

The specific steps are:

Step 2a: The web server submits task information to the task planning server, and the planning server saves the task information to the database. The web server issues a request for task planning. The planning server will establish the scene and calculate the lap allocation results, and then return the results to the web server. The web server stores the lap result information for the user to use when selecting laps.

Step 2b: The web server submits the user's circle selection information to the planning server. The planning server will calculate the mission imaging planning. After the calculation is completed, the results will be returned to the web server. The web server will store the planning results and display the imaging planning results.

Step 2c: The web server sends a request for task playback to the task planning server. The planning server calculates the optional time for task playback and returns the calculation results to the web server. The web server stores the results for use by the user when selecting the playback time.

Step 2d: The web server submits the playback time selected by the user to the planning server. The planning server performs task playback planning calculations and returns the calculation results to the web server. The web server stores and displays the playback planning results.

Step 2e: The web server sends a request to the planning server to obtain the task planning evaluation results. The planning server evaluates and calculates the task planning results and returns the calculation results to the web server. The web server will store the evaluation results and display the json content of the returned planning results: FileData (result file information), Tasktype (task type), ErrorInfos (result status information).

Step 3: Build an interactive interface based on geographic information system

Figure 3 shows the direct interface relationship between GIS and other parts of mission planning.

Specifically, it includes the following steps:

Step 3a, access to geographic data: The geographic information system provides access services to spatial databases and data files, and can access and obtain elevation data, image data, and vector data. Among them, STK is used to generate CZML files to demonstrate data sharing in Cesium. The solution is to deploy CesiumJS on a network server to process geographical data, landform data, building data, satellite models, attitude and orbit data and other data; and display the processing results of CesiumJS on the web page.

Step 3b, layer control: Manage all displayed content as layers by category; be able to support layer selection and display, adjust the layer overlay display order, and support the selection and display of various application layers. Among them, a layered map service based on raster and tile models is used, and the layers of the most basic and commonly used map data elements are used as base maps, such as roads, rivers, etc. On the basis of the base map, various layers we need, such as satellite images, can be superimposed to meet the needs of the application.

Step 3c, map browsing: It can display two-dimensional and three-dimensional views, and supports zooming in, zooming out, and roaming browsing. Among them, AGI's CesiumJS is used as a display tool for geographical information and satellite dynamic flight processes. CesiumJS is a drawing platform for three-dimensional earth and maps. Three-dimensional GIS includes one-dimensional and two-dimensional objects. Two-dimensional view and three-dimensional view can be selected for mission planning display. At the same time, earth perspective, satellite perspective, upward perspective and north perspective can be selected for three-dimensional view. The description of a certain place is composed of more than 10 or more than 20 layers of pictures of different resolutions. When the user zooms in, according to the zoom level, tile pictures of different resolutions are selected and spliced into a complete picture. The maps and tile images are downloaded from the server and can be cached and roamed.

Step 3d, human-computer interaction: supports task selection operations and outputs the selection results as input for task planning; GIS has the function of inputting spatial data and non-spatial data, editing and modifying the input data, and has a complete database Management function enables users to query and retrieve data under specific conditions.

Step 3e, task planning display: Feedback on task planning through visual means, including graphical output and attribute output (reports, statistical data, etc.).

Step 4: Dynamic geospatial data input and visualization of satellite trajectories

The specific implementation plan is: build a GIS server based on the open source software GeoServer, use J2EE that complies with the OpenGIS Web server specification, use GeoServer to publish offline map data, and then organically integrate it with the mission planning WEB system as a whole, and establish mission goals, etc. Among the functions, it is convenient for administrators to update, delete, and insert objects, quickly share spatial geographical information between system modules through the GIS server, and the built GIS server provides fine layers for the simulation of 3D task visualization to display task planning results. Service; use STK to generate CZML files to demonstrate data sharing in Cesium. The solution is to deploy CesiumJS on a network server to process geographical data, landform data, building data, satellite models, attitude and orbit data and other data; and display the processing results of CesiumJS on the web page.

Specific steps are as follows:

Step 4a: Create a data-driven time dynamic scenario through data scripts.

Step 4b: Based on the WebGL earth simulation engine, given the coordinates of several (4 to 6) points on a closed circle at a certain time, the rendering engine connects the points in series to form a circle.

Step 4c, high-resolution world terrain visualization.

Step 4d, use WMS, TMS, openstreetmaps, Bind and ESRI standards to draw image layers.

Step 4e, plot vector data using KML, GeoJSON and TopoJSON.

Step 4f, extend core Cesium with plugins.

Step 4g, Optimized WebGL, takes full advantage of hardware rendering graphics, using low-level geometry and rendering routines.

Step 4h, draw a wide range of polylines, polygon extrusions and corridors.

Step 4i, control the camera and create the flight path.

Step 4j, use animation controls to control animation time.

Step 5, GIS interacts with ImagingData and LLA files

Among them, the satellite LLA data file includes time, latitude, longitude, altitude, and their corresponding rate per second; the time length is 24 hours. Each two lines in the ImagingData_Simple file represents the imaging start time of a target, with the top representing the start and the bottom representing the end. Targets can be distinguished based on the last stripe serial number identification. ImagingData_Complex file is a file of the entire imaging process of each imaging target, recorded every 250 milliseconds. The ManeuverData_All file records the data of the satellite imaging process + maneuvering process.

The instantaneous closed circular orbit of the satellite is calculated based on the satellite LLA and other files, which is characterized by:

1) The given points need to be calculated to ensure that they are on a plane first, otherwise the rendered circle will be distorted;

2) Due to front-end calculation and real-time considerations, the model and calculation are as simple as possible;

3) Error consideration, the instantaneous position of the satellite needs to be on the calculated instantaneous orbit as much as possible.

The specific calculation steps are as follows:

Step 5a: Take two sampling points (time t+0 and time t+600) from the satellite's real orbit and convert them into Cartesian coordinate coefficient values as the basis for calculating the instantaneous orbit at time t+0;

Step 5b, combine the earth coordinate center and 3 points to determine a plane and calculate the plane equation;

Step 5c, pick any number of points (4-6) from the plane and convert the coordinates into longitude, latitude and height values;

Step 5d, discard the height data of the above point coordinates, so that the line connecting all points becomes a closed circle close to the surface of the earth;

Step 5e, specify the height of the above point coordinates as the satellite's instantaneous height, and the line connecting it is the satellite's instantaneous closed circular orbit.

Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. In this way, if these modifications and variations of the present application fall within the scope of the claims of the present application and equivalent technologies, the present application is also intended to include these modifications and variations.

Contents not described in detail in the specification of the present invention are well-known technologies to those skilled in the art.

Claims (10)

1. A multi-user collaborative task planning system based on BS architecture and GIS interaction, which is characterized by: The browser side receives user operation instructions and sends them to the server side; receives the task planning results sent by the server side and displays them; The server side receives user operation instructions, generates corresponding task requirements, and provides corresponding data packages to the task planning server; receives the task planning results sent by the task planning server, and matches the corresponding geographical data from the GIS server based on the task planning results, and then Send the task planning results combined with geographical data to the browser; The mission planning server, based on the data package provided by the server, combines the target and demand information extracted from the database corresponding to the mission requirements, as well as the historical results of mission planning, satellite orbit extrapolation results and user history extracted from the planning parameter database. information, carry out mission planning, output the mission planning results to the server and store them in the planning parameter database; A database used to provide the mission planning server with goal and demand information corresponding to the task requirements, and export the goal and demand information corresponding to the task requirements; Planning parameter database, used to store and provide historical results of mission planning, satellite orbit extrapolation results and user historical information; GIS server, used to provide geographic data. 2. The multi-user collaborative task planning system based on BS architecture and GIS interaction according to claim 1, characterized in that the task planning includes: The task planning server allocates circles to the data packets based on the target and demand information and planning parameters, and sends the circle allocation results to the server; The server side filters the circle allocation results provided by the task planning server according to the preset rules, and sends the filtered results to the task planning server; The task planning server performs strip decomposition on the circle allocation and screening results sent by the server, then sorts the decomposed strips, and starts task planning for the sorted strips. 3. The multi-user collaborative task planning system based on BS architecture and GIS interaction according to claim 2, characterized in that the task planning also includes: The mission planning server plays back and evaluates the mission planning results, and sends the evaluation results to the server. 4. The multi-user collaborative task planning system based on BS architecture and GIS interaction according to claim 1, characterized in that during the process of new task planning, according to the new task requirements, the task planning server combines the planning parameters stored in The planning results of the database are re-planned. 5. The multi-user collaborative task planning system based on BS architecture and GIS interaction according to claim 1, characterized in that matching the corresponding geographical data from the GIS server according to the task planning results includes: The server side extracts the corresponding geographical data from the GIS server based on the task planning results and the target and demand information extracted from the database, and matches the extracted geographical data with the task planning results to form a task plan including target information corresponding to the task requirements. result. 6. The multi-user collaborative task planning system based on BS architecture and GIS interaction according to claim 5, characterized in that the method of matching corresponding geographical data from the GIS server is a CesiumJS engine. 7. The multi-user collaborative mission planning system based on BS architecture and GIS interaction according to claim 1, characterized in that the satellite orbit extrapolation result includes a satellite LLA data file, and the satellite LLA data file includes time, latitude , longitude, altitude, and their corresponding rates, one piece of data per second, and the time length is 24 hours; the historical results of the mission planning include the ImagingData_Simple file, the ImagingData_Complex file and the ManeuverData_All file; the ImagingData_Simple file is used to describe one for every two lines The imaging starting time of the target, with the top as the start and the bottom as the end; the ImagingData_Complex file is used to describe the entire process of imaging each imaging target, recording one every 250 milliseconds; the ManeuverData_All file is used to record the satellite imaging process and maneuvering process The data. 8. A multi-user collaborative task planning method based on the interaction between BS architecture and GIS, which is characterized by: Receive user operation instructions and generate corresponding task requirements and corresponding data packages; According to the data package and combined with the target and demand information corresponding to the mission requirements, as well as the historical results of mission planning, satellite orbit extrapolation results and user historical information, mission planning is performed, and the mission planning results are generated and displayed; Match the corresponding geographical data from the GIS server according to the task planning results, and then display the task planning results combined with the geographical data. 9. The multi-user collaborative task planning method based on interaction between BS architecture and GIS according to claim 8, characterized in that the task planning includes: Allocate data packets in circles based on target and demand information and planning parameters; Filter the lap allocation results according to preset rules; Decompose the circle allocation screening results into strips, then sort the decomposed strips, and start task planning for the sorted strips; The mission planning also includes: playback and evaluation of mission planning results; During the process of new task planning, re-planning is performed based on the new task requirements and the stored planning results. 10. The multi-user collaborative task planning method based on the interaction between BS architecture and GIS according to claim 8, characterized in that matching the corresponding geographical data from the GIS server according to the task planning results includes: According to the task planning results and target and demand information, the corresponding geographical data is extracted from the GIS server, and the extracted geographical data is matched with the task planning results to form a task planning result including target information corresponding to the task requirements; The method of matching corresponding geographical data from the GIS server is the CesiumJS engine; The satellite orbit extrapolation results include satellite LLA data files. The satellite LLA data files include time, latitude, longitude, altitude, and their corresponding rates, one piece of data per second, and the time length is 24 hours; the mission planning The historical results include the ImagingData_Simple file, the ImagingData_Complex file and the ManeuverData_All file; the ImagingData_Simple file is used to describe the imaging start time of one target in every two lines, with the top being the start and the bottom being the end; the ImagingData_Complex file being used to describe the imaging time of each imaging target The entire process is recorded every 250 milliseconds; the ManeuverData_All file is used to record data of the satellite imaging process and maneuvering process.