Remote sensing satellite shooting task statistical method based on shooting demand state and user operation

Abstract

The invention relates to a remote sensing satellite shooting task statistical method based on a shooting demand state and user operation, comprising the following steps: establishing an analysis model according to input query time, and preliminarily determining a to-be-queried shooting demand range; for the determined shooting demand range, selecting the final state of the shooting demand as the most important feature, and performing classification processing according to the demand state; user operation time information required by shooting is introduced into the analysis model to serve as a variable for judgment; extracting imaging task information associated with the shooting demand of the screening result; imaging task information is continuously introduced into the analysis model to serve as a variable, and the imaging task information is compared with the query time; and summarizing statistical results of different shooting demand states. The method disclosed by the invention has the response capability of accurately processing uncertain factors of various demand states and relatively high stability, and meanwhile, all valuable characteristics of the shooting demand are ensured to be remarkably used.

Description

Technical Field

[0001] The present invention relates to the technical field of remote sensing satellite photography mission application, and in particular to a remote sensing satellite photography mission statistics method based on photography demand status and user operations. Background Art

[0002] With the continuous improvement of the hardware level of remote sensing satellites, its application goals have higher requirements and the functions achieved are becoming increasingly powerful. The development of space technology has also accelerated significantly. At the same time, with the continuous development and widespread application of information science, information, as an important and special resource, has risen to a strategic level in some tasks. Under the premise that resources and constraints remain unchanged, the increasing number of satellites, the frequent dynamic changes in demand status and the higher application target requirements have caused new contradictions such as low effective information acquisition rate and decreased overall system resource utilization. At the same time, due to the single task type of traditional satellite shooting tasks, there is no difference in the processing methods for all tasks, and there is redundancy in most task operations. With the increase in the number of tasks, the amount of calculation in this process cannot be underestimated. How to integrate the ability of statistical satellites to obtain information according to shooting requirements has also become an important problem that needs to be solved urgently. Under higher conditions, the existing system design cannot meet the situation of accurately counting the shooting capabilities of satellite constellations. Summary of the invention

[0003] The present invention aims to solve the technical problems in the prior art and provides a remote sensing satellite shooting task statistics method based on shooting demand status and user operations.

[0004] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

[0005] A remote sensing satellite shooting task statistics method based on shooting demand status and user operation includes the following steps:

[0006] S1: Establish an analysis model based on the input query time and preliminarily determine the scope of the shooting requirements to be queried;

[0007] S2: for the shooting requirement range determined in step S1, the final state of the shooting requirement is selected as the most important feature, and classification processing is performed according to the requirement state;

[0008] S3: Introduce the user operation time information of the shooting demand into the analysis model as a variable for judgment, and ensure that the demand is in the past or in progress state within the query time;

[0009] S4: extracting imaging task information associated with the shooting requirements of the screening results of step S3;

[0010] S5: Continue to introduce imaging task information as a variable in the analysis model, and compare the imaging task information with the query time; if the planning time of the imaging task is within the query time range, it is determined that the shooting demand has been planned within the query time;

[0011] S6: Summarize the statistical results of different shooting demand states and output them uniformly.

[0012] In the above technical solution, step S1 specifically includes: determining the time range of the shooting requirements to be queried, establishing an analysis model, and performing judgment and screening according to the start and end time of each shooting requirement.

[0013] In the above technical solution, step S1 is specifically as follows: if the start time to be queried is X and the end time is Y, and the filtered demand is A, then the judgment condition is set as the start time of A must be earlier than Y and the end time of A must be later than X.

[0014] In the above technical solution, the final status of the shooting requirement in step S2 includes: completed, canceled, paused, in progress, and timed out.

[0015] In the above technical solution, step S3 is specifically:

[0016] If the final status of the shooting demand is in progress, it is necessary to determine whether the shooting demand has ever changed from paused to in progress based on the user operation time of the shooting demand. If the shooting demand has ever been paused and the time when the shooting demand changes to the in progress state is after the query end time Y, such shooting demand will not be processed; the rest of the shooting demands will enter the queue to be processed;

[0017] If the final status of a shooting demand is completed, canceled, timed out, or paused, it is necessary to determine whether the final status is changed during the query time based on the user operation time of the shooting demand. When the user operation record shows that the final time of the status change is during the query time, such shooting demand will be placed in the queue for processing; other demands will not be processed.

[0018] In the above technical solution, step S4 specifically includes: matching the shooting requirements in the queue to be processed screened in step S3 with the imaging tasks related thereto, and each shooting requirement is associated with one or more imaging tasks.

[0019] In the above technical solution, step S5 is specifically as follows: continue to introduce imaging task information as a variable, and judge whether the imaging task associated with each shooting requirement is within the query time range. If there is an associated imaging task in the shooting requirement and the planning time is within the query time range, it is considered that the requirement has been planned during this period, and it is added to the result set, otherwise it is not added.

[0020] In the above technical solution, in step S6, the shooting requirements in the result set are classified and displayed according to the status, and other relevant information of the shooting requirements is displayed.

[0021] The present invention has the following beneficial effects:

[0022] The remote sensing satellite shooting task statistics method based on shooting demand status and user operation of the present invention has the response capability of accurately processing the uncertain factors of various demand states and strong stability, while ensuring that all valuable features of the shooting demand are used significantly, which ensures that the method can accurately count the shooting demand information of all imaging tasks executed in the time period to be queried under any input and environment, and has the ability of fast and high-speed processing and calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] Figure 1 It is a flow chart of a remote sensing satellite shooting task statistics method based on shooting demand status and user operation of the present invention.

[0025] Figure 2 The figure is a schematic diagram of the result of data screening by applying the statistical method of remote sensing satellite photography tasks based on photography demand status and user operation of the present invention. DETAILED DESCRIPTION

[0026] The inventive concept of the present invention is:

[0027] Due to different shooting requirements such as demand time range and constraints, the satellite shooting demand state has autonomous dynamic changes and uncertainties. Due to these uncertainties, the requirements shot within a specified time cannot be simply combined and processed based on the conditions such as demand submission time and task planning time.

[0028] In order to ensure the accuracy of statistical results and high-performance computing, the present invention combines the satellite shooting demand state with user operations and introduces a stepwise selection method. First, the final state of the shooting demand is selected as the feature that best reflects the differences between shooting demands. At the same time, a discriminant function is established. During classification, the contributing variables of each step (such as the start and end time of the shooting demand, the user's operation time on the demand, and whether there is task planning information and other discrimination conditions) are gradually added to the overall model to achieve state-by-state and batch processing of shooting demands in each state.

[0029] The present invention is described in detail below with reference to the accompanying drawings.

[0030] like Figure 1As shown, the remote sensing satellite shooting task statistics method based on shooting demand status and user operation of the present invention includes the following steps:

[0031] S1: Establish an analysis model based on the input query time and preliminarily determine the scope of the shooting requirements to be queried;

[0032] S2: for the shooting requirement range determined in step S1, the final state of the shooting requirement is selected as the most important feature, and classification processing is performed according to the requirement state;

[0033] S3: Introduce the user operation time information of the shooting demand into the analysis model as a variable for judgment, and ensure that the demand is in the "ongoing" state or is in the "ongoing" state within the query time;

[0034] S4: extracting imaging task information associated with the shooting requirements of the screening results of step S3;

[0035] S5: Continue to introduce imaging task information as a variable in the analysis model, and compare the imaging task information with the query time; if the planning time of the imaging task is within the query time range, it is determined that the shooting demand has been planned within the query time;

[0036] S6: Summarize the statistical results of different shooting demand states and output them uniformly.

[0037] The following content describes each step in detail.

[0038] For step S1, an analysis model is established based on the input query time, and the range of shooting requirements to be queried is preliminarily determined: the time range of the requirements to be queried is determined to establish an analysis model, and the start and end time of each requirement is judged and screened. If the start time to be queried is X and the end time is Y (Y is later than X), and the filtered requirement is A, the judgment condition to be set is that the start time of A must be earlier than Y and the end time of A must be later than X, so as to ensure that the start and end time of A's requirement overlaps with the query time (from X to Y), and complete the preliminary retrieval of the requirement.

[0039] For step S2: For the set of requirements selected in step S1, the final state of the shooting requirements is selected as the most important feature, and the requirements are classified according to the requirements state. Five requirements are classified according to the requirements state. (Requirement states include: "Completed", "Canceled", "Paused", "In Progress", and "Timed Out").

[0040] For step S3: the user operation time information of the shooting demand is introduced into the analysis model as a variable to judge the shooting demands one by one, and ensure that the demand is in the "ongoing" state or is in the "ongoing" state within the query time.

[0041] If the final status of the shooting demand is "in progress", it is necessary to determine whether the shooting demand has ever changed from "paused" to "in progress" based on the time of the demand operation record. If the shooting demand has been paused and the time when the shooting demand changes to the "in progress" state is after the query time Y, such shooting demand will not be processed; the rest of the shooting demands will enter the queue to be processed;

[0042] If the final status of a shooting demand is "completed", "cancelled", "timed out" or "paused", it is necessary to determine whether the final status is changed during the query time based on the time of the demand operation record. When the user operation record shows that the final time of the status change is during the query time (from X to Y), such shooting demand will be placed in the queue for processing; other demands will not be processed.

[0043] Regarding step S4: the above steps can only retrieve the set of shooting requirements that have been "active" during the query time, and it is still impossible to determine whether the shooting requirements have been planned within the query time range. Therefore, the shooting requirements in the queue to be processed screened in step S3 must be matched with their related imaging tasks. At this time, each shooting requirement will be associated with one or more imaging tasks.

[0044] For step S5: Based on step S4, continue to introduce imaging task information as a variable to determine whether the imaging task associated with each shooting requirement is within the query time range. If there is an associated imaging task in the shooting requirement with a planning time within the query time range, it is considered that the requirement has been planned during this period and it is added to the result set, otherwise it is not added.

[0045] Regarding step S6: statistical results of different shooting demand states are summarized and outputted uniformly for display.

[0046] The shooting requirements in the result set are classified and displayed according to the status, and other relevant information of the shooting requirements is displayed. The results of data screening are as follows Figure 2 shown.

[0047] The remote sensing satellite shooting task statistics method based on shooting demand status and user operation of the present invention has the response capability of accurately processing the uncertain factors of various demand states and strong stability, while ensuring that all valuable features of the shooting demand are used significantly, which ensures that the method can accurately count the shooting demand information of all imaging tasks executed in the time period to be queried under any input and environment, and has the ability of fast and high-speed processing and calculation.

[0048] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A remote sensing satellite shooting task statistics method based on shooting demand status and user operation, characterized in that: The following steps are involved: S1: Establish an analysis model based on the input query time and preliminarily determine the scope of the shooting requirements to be queried; S2: for the shooting requirement range determined in step S1, the final state of the shooting requirement is selected as the most important feature, and classification processing is performed according to the requirement state; S3: Introduce the user operation time information of the shooting demand into the analysis model as a variable for judgment, and ensure that the demand is in a state of passing or being in progress within the query time; S4: extracting imaging task information associated with the shooting requirements of the screening results of step S3; S5: Continue to introduce imaging task information as a variable in the analysis model, and compare the imaging task information with the query time; if the planning time of the imaging task is within the query time range, it is determined that the shooting demand has been planned within the query time; S6: Summarize the statistical results of different shooting demand states and output them uniformly.

2. The remote sensing satellite shooting task statistics method based on shooting demand status and user operation according to claim 1 is characterized in that: Step S1 specifically includes: determining the time range of the shooting requirements to be queried, establishing an analysis model, and performing judgment and screening according to the start and end time of each shooting requirement.

3. The remote sensing satellite shooting task statistics method based on shooting demand status and user operation according to claim 2 is characterized in that: Step S1 is specifically as follows: if the start time to be queried is X and the end time is Y, and the filtered demand is A, then the judgment condition is set as the start time of A must be earlier than Y and the end time of A must be later than X.

4. The remote sensing satellite shooting task statistics method based on shooting demand status and user operation according to claim 1 is characterized in that: The final status of the shooting requirement in step S2 includes: completed, cancelled, paused, in progress, and timed out.

5. The remote sensing satellite shooting task statistics method based on shooting demand status and user operation according to claim 3 is characterized in that: Step S3 is specifically as follows: If the final status of the shooting demand is in progress, it is necessary to determine whether the shooting demand has ever changed from paused to in progress based on the user operation time of the shooting demand. If the shooting demand has ever been paused and the time when the shooting demand changes to the in progress state is after the query end time Y, such shooting demand will not be processed; the rest of the shooting demands will enter the queue to be processed; If the final status of a shooting request is completed, canceled, timed out, or paused, it is necessary to determine whether the final status is changed during the query time based on the user operation time of the shooting request. If the user operation record shows that the final status change time is during the query time, such shooting request will be placed in the pending queue; The remaining requirements are not processed.

6. The remote sensing satellite shooting task statistics method based on shooting demand status and user operation according to claim 5 is characterized in that: Step S4 specifically includes: matching the shooting requirements in the queue to be processed screened in step S3 with the imaging tasks related thereto, wherein each shooting requirement is associated with one or more imaging tasks.

7. The remote sensing satellite shooting task statistics method based on shooting demand status and user operation according to claim 1 is characterized in that: Step S5 is specifically as follows: continue to introduce imaging task information as a variable, and determine whether the imaging task associated with each shooting requirement is within the query time range. If there is an associated imaging task in the shooting requirement whose planning time is within the query time range, it is considered that the requirement has been planned during this period, and it is added to the result set, otherwise it is not added.

8. The remote sensing satellite shooting task statistics method based on shooting demand status and user operation according to claim 7 is characterized in that: In step S6, the shooting requirements in the result set are classified and displayed according to the status, and other relevant information of the shooting requirements is displayed.

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