Platform processing information quality evaluation system and method for terminal collaboration

Abstract

The invention discloses a platform processing information quality evaluation system and method for terminal collaboration, and belongs to the technical field of earth observation application. The system comprises an application center module, an observation platform and a plurality of application ends, the application center module performs task planning based on a user request sent by the application end, generates a task instruction based on a generated task plan, sends the task instruction to the observation platform, and performs quality evaluation through parameters in the updated second subset; the observation platform is used for acquiring earth observation data, processing the earth observation data to generate processed observation platform data, and performing quality evaluation by the updated parameters in the third subset; and the application end receives a user request and sends the user request to the application center module, and quality evaluation is carried out by the updated parameters in the first subset. According to the system, the quality, accuracy and timeliness of platform information processing products are remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of earth observation application, and in particular relates to a platform processing information quality assessment system and method for terminal collaboration. Background Art

[0002] With the widespread application of observation information, ground system processing, platform processing and application-end processing of observation information have become the key to the application of platform observation information.

[0003] At present, observation information processing is mainly carried out by ground systems. Some observation platforms have certain platform processing capabilities and are developing application units for different users. In order to improve the application level of observation information, especially for terminal collaboration applications, it is necessary to evaluate the quality of platform processing information.

[0004] The quality of traditional platform processing information is mainly determined by the ground system's advance training of the platform processing algorithm and the upload of the algorithm parameters to the observation platform. There are problems such as long platform processing information quality assessment cycle, lack of quality self-inspection of platform processing data product applications, and repeated processing of platform processing information by the user application end. These problems restrict the terminal collaborative application for large-scale users. It is urgent to develop a platform processing information quality assessment method and system for terminal collaboration to improve the timeliness, accuracy and comprehensiveness of platform processing information quality assessment. Summary of the invention

[0005] The present invention provides a platform processing information quality assessment system and method for terminal collaboration, which are used to solve the above problems or at least partially solve the above problems.

[0006] In a first aspect, a platform processing information quality assessment system for terminal collaboration is disclosed, the system comprising:

[0007] Application center module, observation platform and several application terminals;

[0008] The application center module performs task planning based on the user request sent by the application end, generates task instructions based on the generated task plan, and sends the task instructions to the observation platform;

[0009] Generate a dynamic observation platform data information quality parameter set based on the observation platform data processed by the observation platform, and generate a terminal collaborative quality assessment parameter set based on the observation platform data information quality parameter set. The terminal collaborative quality assessment parameter set is divided into three subsets, namely, a first subset, a second subset and a third subset. The parameters in the first subset are application end data quality detection parameters, the parameters in the second subset are application center module information processing parameters, and the parameters in the third subset are observation platform information quality detection parameters; and the terminal collaborative quality assessment parameter set is regularly updated;

[0010] Determine the parameter value of each parameter in the latest second quality assessment parameter set based on the processed observation platform data of the observation platform, so as to perform information processing quality analysis of the application center module; the parameters in the second quality assessment parameter set are updated when the terminal collaborative quality assessment parameter set changes, and the parameters in the second quality assessment parameter set are the same as the parameters in the updated second subset;

[0011] The observation platform is used to obtain earth observation data, process the earth observation data to generate processed observation platform data; determine the parameter value of each parameter in the latest third quality assessment parameter set based on the processed observation platform data of the observation platform, so as to perform observation platform information quality analysis; when the terminal collaborative quality assessment parameter set changes, the application center module obtains the parameters in the updated third subset, and updates the parameters in the third quality assessment parameter set to the parameters in the updated third subset; in response to the task instruction of the application center module, provide the observation platform data required by the application end to the application end;

[0012] The application end receives a user request and sends the user request to an application center module; receives observation platform data required by the application end sent by the observation platform, and performs quality detection on the observation platform data required by the application end sent by the observation platform according to each parameter in the latest first quality assessment parameter set; when the terminal collaborative quality assessment parameter set changes, the application center module obtains the parameters in the updated first subset, and updates the parameters in the first quality assessment parameter set to the parameters in the updated first subset.

[0013] Preferably, the application center module includes an information service submodule, a task planning submodule and a second quality assessment submodule;

[0014] The information service submodule is used to receive a user request sent by the application end, and send the user request to the task planning submodule; receive the updated parameters in the first subset sent by the second quality assessment submodule, and send the updated parameters in the first subset to the application end;

[0015] The task planning submodule performs task planning based on the user request, generates task instructions based on the generated task plan, and sends the task instructions to the observation platform; receives the updated third subset sent by the second quality assessment submodule, generates a quality parameter update instruction, and sends the quality parameter update instruction to the observation platform;

[0016] The second quality assessment submodule determines the parameter value of each parameter in the latest second quality assessment parameter set based on the processed observation platform data of the observation platform, so as to perform information processing quality analysis of the application center module; regularly updates the terminal collaborative quality assessment parameter set, and when the terminal collaborative quality assessment parameter set changes, updates each parameter in the second quality assessment parameter set based on the updated second subset, sends the updated first subset to the information service submodule, and sends the updated third subset to the task planning submodule.

[0017] Preferably, the observation platform includes a platform mission control submodule, a platform earth observation submodule, a platform data processing submodule, a third quality assessment submodule, and a platform data distribution submodule;

[0018] The platform task control submodule receives the task instruction and the quality parameter update instruction sent by the application center module, sends the task instruction to the platform earth observation submodule, and updates each parameter in the third quality assessment parameter set based on the updated third subset;

[0019] The platform earth observation submodule obtains the task instruction sent by the platform task control submodule, performs earth observation based on the task instruction, obtains earth observation data, and sends the earth observation data to the platform data processing submodule;

[0020] The platform data processing submodule receives the earth observation data acquired by the platform earth observation submodule, performs data radiation correction and geometric correction, and generates processed observation platform data; and sends the processed observation platform data to the third quality assessment submodule;

[0021] The third quality assessment submodule determines the parameter value of each parameter in the latest third quality assessment parameter set based on the processed observation platform data of the observation platform, so as to perform observation platform information quality analysis; when the terminal collaborative quality assessment parameter set changes, updates each parameter in the third quality assessment parameter set based on the updated third subset; selects the observation platform data corresponding to the user request from the processed observation platform data with qualified analysis results, adds data quality auxiliary parameters to the selected observation platform data as the observation platform data required by the application end; sends the observation platform data required by the application end to the platform data distribution submodule;

[0022] The platform data distribution submodule sends the observation platform data required by the application end to the application end.

[0023] Preferably, the application end includes an application management submodule, a data receiving submodule, a first quality assessment submodule and a comprehensive information processing submodule;

[0024] The application management submodule is used to receive the user request, receive the updated first subset sent by the application center module, and send the updated first subset to the first quality assessment submodule;

[0025] The data receiving submodule receives the observation platform data required by the application end sent by the observation platform, decodes the observation platform data required by the application end, and sends the decoded observation platform data required by the application end to the first quality assessment submodule;

[0026] The first quality assessment submodule performs quality analysis on the observation platform data required by the application end after decoding processing according to each parameter in the latest first quality assessment parameter set; when the terminal collaborative quality assessment parameter set changes, updates each parameter in the first quality assessment parameter set based on the updated first subset; sends the observation platform data required by the application end after decoding processing with a qualified quality analysis result to the comprehensive information processing submodule;

[0027] The comprehensive information processing submodule obtains the observation platform data required by the application end after decoding processing with the quality analysis result being qualified, performs data analysis, and displays the data analysis result to the user.

[0028] In a second aspect, a method for assessing the quality of information processed by a platform for terminal collaboration is disclosed. Based on the aforementioned system for assessing the quality of information processed by a platform for terminal collaboration, the method comprises:

[0029] Step S1: Obtain the quality parameter set P determined by the terminal collaboration-oriented platform processing information quality assessment system in the testing phase o ; Assign the observation platform data information quality parameter set P to P o , the initial value of the parameter difference judgment coefficient of the observation platform data information quality parameter set P is

[0030] Step S2: Regularly monitor and obtain the processed observation platform data of the observation platform. If the monitoring stops, the method ends; otherwise, obtain the processed observation platform data of the observation platform, and determine the observation platform data information quality parameter set P at time t based on the obtained processed observation platform data of the observation platform. t , t is the time when the processed observation platform data of the observation platform is obtained;

[0031] Step S3: Determine the observation platform data information quality parameter set P at time tt The quality parameter difference d from the observation platform data information quality parameter set P ij And parameter difference judgment coefficient α, where:

[0032]

[0033] p ij ∈P t , p ij P t The parameters in is the observation platform data information quality parameter set P and p ij Corresponding parameters: P t The parameters in include first type parameters and second type parameters, where the first type parameters are parameters where the larger the parameter value, the better, and the second type parameters are parameters where the smaller the parameter value, the better. The parameter difference d of the first type parameters mn ≥1; parameter difference d of the second type parameter kl ≤1;

[0034]

[0035] M, N are the total number of rows and columns of the first type of parameters in the information quality parameter matrix, respectively; K, L are the total number of rows and columns of the second type of parameters in the information quality parameter matrix, respectively; k, l, m, n are variables;

[0036] Step S4: If Go to step S5; otherwise, go to step S2;

[0037] Step S5: Assign the observation platform data information quality parameter set P to P t , assign the parameter difference judgment coefficient of the observation platform data information quality parameter set P to α; generate the application end data quality detection parameter set U based on the observation platform data information quality parameter set P App , Application center module information processing parameter set U Sat and the application-side data quality detection parameter set U Cen , forming a terminal collaborative quality assessment parameter set U, U = (U Cen ,U Sat ,U App ), where U App is the first subset after update, U Cen is the updated second subset, U Sat For the updated third subset, the terminal-collaborative platform processing information quality assessment system updates the first quality assessment parameter set, the second quality assessment parameter set, and the third quality assessment parameter set based on the updated first subset, the updated second subset, and the updated third subset respectively; and enters step S2.

[0038] In a third aspect, an electronic device is disclosed, the electronic device comprising:

[0039] at least one processor; and

[0040] a memory communicatively connected to the at least one processor; wherein,

[0041] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described above.

[0042] In a fourth aspect, a non-transitory computer-readable storage medium storing computer instructions is disclosed, wherein the computer instructions are used to cause the computer to execute the method as described above.

[0043] The present invention has the following technical effects:

[0044] The present invention provides a terminal-cooperative platform processing information quality assessment system and method, which realizes the terminal-cooperative platform processing information quality assessment. Compared with the current method that the platform processing information quality is mainly determined by the ground system in advance to train the platform processing algorithm and perform processing quality assessment, the present invention adds quality assessment links such as application center processing parameter optimization, platform information quality inspection, and application-side data quality detection, and realizes the whole process information product quality assessment of the ground system, observation platform and application end. It has the characteristics of fast assessment response, complete quality inspection, and wide service range. It is a new direction and development focus for the platform processing information quality assessment at present and in the future. Using this system, the observation platform user unit can monitor the platform processing information quality in real time, synchronously update the application center processing parameters, platform information quality inspection parameters and application-side data quality detection parameters, reduce the difficulty of application-side information processing, improve the platform processing information application capabilities, and lay the foundation for providing high-quality platform processing information services for large-scale ordinary users, and significantly improve the quality, accuracy and timeliness of platform processing information products. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of the architecture of the information quality assessment system for the terminal collaboration platform;

[0046] Figure 2 The present invention is a flowchart of a method for evaluating the quality of information processed by a terminal-collaborative platform. DETAILED DESCRIPTION

[0047] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0048] like Figure 1As shown, the present invention provides a platform processing information quality assessment system for terminal collaboration, the system comprising:

[0049] Application center module, observation platform and several application terminals;

[0050] The application center module performs task planning based on the user request sent by the application end, generates task instructions based on the generated task plan, and sends the task instructions to the observation platform;

[0051] Generate a dynamic observation platform data information quality parameter set based on the observation platform data processed by the observation platform, and generate a terminal collaborative quality assessment parameter set based on the observation platform data information quality parameter set. The terminal collaborative quality assessment parameter set is divided into three subsets, namely, a first subset, a second subset and a third subset. The parameters in the first subset are application end data quality detection parameters, the parameters in the second subset are application center module information processing parameters, and the parameters in the third subset are observation platform information quality detection parameters; and the terminal collaborative quality assessment parameter set is regularly updated;

[0052] Determine the parameter value of each parameter in the latest second quality assessment parameter set based on the processed observation platform data of the observation platform, so as to perform information processing quality analysis of the application center module; the parameters in the second quality assessment parameter set are updated when the terminal collaborative quality assessment parameter set changes, and the parameters in the second quality assessment parameter set are the same as the parameters in the updated second subset;

[0053] The observation platform is used to obtain earth observation data, process the earth observation data to generate processed observation platform data; determine the parameter value of each parameter in the latest third quality assessment parameter set based on the processed observation platform data of the observation platform, so as to perform observation platform information quality analysis; when the terminal collaborative quality assessment parameter set changes, the application center module obtains the parameters in the updated third subset, and updates the parameters in the third quality assessment parameter set to the parameters in the updated third subset; in response to the task instruction of the application center module, provide the observation platform data required by the application end to the application end;

[0054] The application end receives a user request and sends the user request to an application center module; receives observation platform data required by the application end sent by the observation platform, and performs quality detection on the observation platform data required by the application end sent by the observation platform according to each parameter in the latest first quality assessment parameter set; when the terminal collaborative quality assessment parameter set changes, the application center module obtains the parameters in the updated first subset, and updates the parameters in the first quality assessment parameter set to the parameters in the updated first subset.

[0055] The present invention clarifies the method steps, system composition and other contents of platform processing information quality assessment, and realizes the platform processing information quality assessment oriented to terminal collaboration.

[0056] Furthermore, the application center module includes an information service submodule, a task planning submodule and a second quality assessment submodule.

[0057] The information service submodule is used to receive a user request sent by the application end, and send the user request to the task planning submodule; receive the updated parameters in the first subset sent by the second quality assessment submodule, and send the updated parameters in the first subset to the application end;

[0058] The task planning submodule performs task planning based on the user request, generates task instructions based on the generated task plan, and sends the task instructions to the observation platform; receives the updated third subset sent by the second quality assessment submodule, generates a quality parameter update instruction, and sends the quality parameter update instruction to the observation platform;

[0059] The second quality assessment submodule determines the parameter value of each parameter in the latest second quality assessment parameter set based on the processed observation platform data of the observation platform, so as to perform information processing quality analysis of the application center module; regularly updates the terminal collaborative quality assessment parameter set, and when the terminal collaborative quality assessment parameter set changes, updates each parameter in the second quality assessment parameter set based on the updated second subset, sends the updated first subset to the information service submodule, and sends the updated third subset to the task planning submodule.

[0060] Furthermore, the observation platform includes a platform mission control submodule, a platform earth observation submodule, a platform data processing submodule, a third quality assessment submodule, and a platform data distribution submodule.

[0061] The platform task control submodule receives the task instruction and the quality parameter update instruction sent by the application center module, sends the task instruction to the platform earth observation submodule, and updates each parameter in the third quality assessment parameter set based on the updated third subset;

[0062] The platform earth observation submodule obtains the task instruction sent by the platform task control submodule, performs earth observation based on the task instruction, obtains earth observation data, and sends the earth observation data to the platform data processing submodule;

[0063] The platform data processing submodule receives the earth observation data acquired by the platform earth observation submodule, performs data radiation correction and geometric correction, and generates processed observation platform data; and sends the processed observation platform data to the third quality assessment submodule;

[0064] The third quality assessment submodule determines the parameter value of each parameter in the latest third quality assessment parameter set based on the processed observation platform data of the observation platform, so as to perform observation platform information quality analysis; when the terminal collaborative quality assessment parameter set changes, updates each parameter in the third quality assessment parameter set based on the updated third subset; selects the observation platform data corresponding to the user request from the processed observation platform data with qualified analysis results, adds data quality auxiliary parameters to the selected observation platform data as the observation platform data required by the application end; sends the observation platform data required by the application end to the platform data distribution submodule;

[0065] The platform data distribution submodule sends the observation platform data required by the application end to the application end.

[0066] Furthermore, the application end includes an application management submodule, a data receiving submodule, a first quality assessment submodule and a comprehensive information processing submodule.

[0067] The application management submodule is used to receive the user request, receive the updated first subset sent by the application center module, and send the updated first subset to the first quality assessment submodule;

[0068] The data receiving submodule receives the observation platform data required by the application end sent by the observation platform, decodes the observation platform data required by the application end, and sends the decoded observation platform data required by the application end to the first quality assessment submodule;

[0069] The first quality assessment submodule performs quality analysis on the observation platform data required by the application end after decoding processing according to each parameter in the latest first quality assessment parameter set; when the terminal collaborative quality assessment parameter set changes, updates each parameter in the first quality assessment parameter set based on the updated first subset; sends the observation platform data required by the application end after decoding processing with a qualified quality analysis result to the comprehensive information processing submodule;

[0070] The comprehensive information processing submodule obtains the observation platform data required by the application end after decoding processing with the quality analysis result being qualified, performs data analysis, and displays the data analysis result to the user.

[0071] The present invention provides a method for evaluating the quality of platform processing information for terminal collaboration. Based on the above-mentioned system for evaluating the quality of platform processing information for terminal collaboration, the method comprises:

[0072] Step S1: Obtain the quality parameter set P determined by the terminal collaboration-oriented platform processing information quality assessment system in the testing phase o ; Assign the observation platform data information quality parameter set P to P o , the initial value of the parameter difference judgment coefficient of the observation platform data information quality parameter set P is

[0073] Step S2: Regularly monitor and obtain the processed observation platform data of the observation platform. If the monitoring stops, the method ends; otherwise, obtain the processed observation platform data of the observation platform, and determine the observation platform data information quality parameter set P at time t based on the obtained processed observation platform data of the observation platform. t , t is the time when the processed observation platform data of the observation platform is obtained;

[0074] Step S3: Determine the observation platform data information quality parameter set P at time t t The quality parameter difference d from the observation platform data information quality parameter set P ij And parameter difference judgment coefficient α, where:

[0075]

[0076] p ij ∈P t , p ij P t The parameters in is the observation platform data information quality parameter set P and p ij Corresponding parameters: P tThe parameters in include first type parameters and second type parameters, where the first type parameters are parameters where the larger the parameter value, the better, and the second type parameters are parameters where the smaller the parameter value, the better. The parameter difference d of the first type parameters mn ≥1; parameter difference d of the second type parameter kl ≤1;

[0077]

[0078] M, N are the total number of rows and columns of the first type of parameters in the information quality parameter matrix, respectively; K, L are the total number of rows and columns of the second type of parameters in the information quality parameter matrix, respectively; k, l, m, n are variables;

[0079] Step S4: If Go to step S5; otherwise, go to step S2;

[0080] Step S5: Assign the observation platform data information quality parameter set P to P t , assign the parameter difference judgment coefficient of the observation platform data information quality parameter set P to α; generate the application end data quality detection parameter set U based on the observation platform data information quality parameter set P App , Application center module information processing parameter set U Sat and the application-side data quality detection parameter set U Cen , forming a terminal collaborative quality assessment parameter set U, U = (U Cen ,U Sat ,U App ), where U App is the first subset after update, U Cen is the updated second subset, U Sat For the updated third subset, the terminal-collaborative platform processing information quality assessment system updates the first quality assessment parameter set, the second quality assessment parameter set, and the third quality assessment parameter set based on the updated first subset, the updated second subset, and the updated third subset respectively; and enters step S2.

[0081] The present invention provides a specific embodiment of a platform processing information quality assessment system for terminal collaboration. The platform processing information quality assessment system for terminal collaboration comprises: an observation platform (S), an application center (C), and an application terminal (A).

[0082] The data quality inspection unit S4 of the observation platform S mainly receives the processed products sent by the platform data processing unit S3, performs data quality inspection according to the quality assessment rules, and sends the qualified data products to the platform data distribution unit S5 after adding data quality auxiliary parameters. The data quality inspection unit S4 mainly includes modules such as quality parameter extraction, data feature matching, and data quality detection.

[0083] The quality assessment system C2 of the application center C mainly analyzes the quality of the platform's earth observation data, generates quality assessment parameters and sends them to the task planning system C1 and the information service system C3. It sends quality assessment parameters to the information service system C3 as needed to update the application end A. The quality assessment system C2 is mainly composed of subsystems such as assessment task management, quality data processing, information quality analysis, and quality parameter generation.

[0084] The data quality detection module A3 of the application end A mainly receives the observation data sent by the data receiving module A2, performs data quality detection according to the quality assessment rules, receives the quality assessment parameters sent by the application management module A1 and completes the update. The data quality detection module A3 is mainly composed of plug-ins such as quality data extraction, information feature association, and data qualification inspection.

[0085] Specifically:

[0086] Application Center C mainly completes tasks such as platform task planning, observation data quality assessment, and user information services. It accepts the needs of application end A, injects instructions to the observation platform S, and sends quality assessment parameters to application end A. Application Center C is mainly composed of task planning system (C1), quality assessment system (C2) and information service system (C3).

[0087] The mission planning system C1 mainly accepts user needs, receives demand applications from the information service system C3, receives quality assessment update applications from the quality assessment system C2, conducts mission planning, completes plan formulation, and sends instructions to the observation platform S to upload the plan. The mission planning system C1 mainly includes demand planning, task scheduling, plan generation, instruction compilation and other subsystems.

[0088] The quality assessment system C2 mainly analyzes the quality of the platform's earth observation data, generates quality assessment parameters and sends them to the mission planning system C1 and the information service system C3. It sends quality assessment parameters to the information service system C3 as needed to update the application end A. The quality assessment system C2 is mainly composed of subsystems such as assessment task management, quality data processing, information quality analysis, and quality parameter generation.

[0089] The information service system C3 mainly provides services such as demand acceptance, parameter update, data sharing, and information management for the application end A. It sends demand applications to the task planning system C1, receives quality assessment parameters sent by the quality assessment system C2, and sends them to the application end A. The information service system C3 is mainly composed of subsystems such as system management, information sharing, user services, and data push.

[0090] The observation platform S mainly controls the payload to start up and obtain earth observation data according to user needs, generates observation data after data processing, has terminal collaborative application capabilities, and can provide services for various users. The observation platform S is usually mainly composed of a platform mission control unit (S1), a platform earth observation unit (S2), a platform data processing unit (S3), a data quality inspection unit (S4), and a platform data distribution unit (S5).

[0091] The platform task control unit S1 mainly receives the observation tasks and quality assessment parameters from the application center C, sends a startup command to the platform earth observation unit S2, issues quality assessment parameters to the data quality inspection unit S4, and collects and updates the status. The platform task control unit S1 mainly includes control plan management, collaborative task control, task status management and other modules.

[0092] The platform earth observation unit S2 mainly receives the power-on command sent by the platform mission control unit S1, completes the earth observation according to the plan, obtains the earth observation data and sends it to the platform data processing unit S3. The platform earth observation unit S2 mainly includes modules such as payload control, effective observation payload, formatted data processing, and data storage and recording.

[0093] The platform data processing unit S3 mainly receives the earth observation data sent by the platform earth observation unit S2, performs data radiation correction and geometric correction, generates processing products after detection and identification, and sends them to the data quality inspection unit S4. The platform data processing unit S3 mainly includes modules such as radiation correction processing, geometric correction processing, data change detection, and feature extraction and recognition.

[0094] The data quality inspection unit S4 mainly receives the processed products sent by the platform data processing unit S3, performs data quality inspection according to the quality assessment rules, and sends the qualified data products to the platform data distribution unit S5 after adding data quality auxiliary parameters. The data quality inspection unit S4 mainly includes modules such as quality parameter extraction, data feature matching, and data quality detection.

[0095] The platform data distribution unit S5 mainly receives qualified data sent by the data quality inspection unit S4, and after data distribution processing, sends it to the application end A. The platform data distribution unit S5 mainly includes modules such as data encoding, signal modulation, and distribution service.

[0096] The application end A mainly provides a one-stop information application platform for various users to use observation data, receives observation data sent by the observation platform S, performs data quality detection and comprehensive information processing, and meets user needs. The application end A mainly includes an application management module (A1), a data receiving module (A2), a data quality detection module (A3), and a comprehensive information processing module (A4).

[0097] The application management module A1 mainly accepts user needs, sends demand applications to the information service system C3, receives quality assessment parameters sent by the information service system C3, and sends them to the data quality detection module A3 for parameter update. The application management module A1 is mainly composed of plug-ins such as user usage management, collaborative demand generation, and task status monitoring.

[0098] The data receiving module A2 mainly receives the distribution data sent by the platform data distribution unit S5, performs formatting, and sends the observation data to the data quality detection module A3. The data receiving module A2 is mainly composed of signal processing, formatting, data recording and other plug-ins.

[0099] The data quality detection module A3 mainly receives the observation data sent by the data receiving module A2, performs data quality detection according to the quality assessment rules, receives the quality assessment parameters sent by the application management module A1 and completes the update. The data quality detection module A3 is mainly composed of plug-ins such as quality data extraction, information feature association, and data qualification inspection.

[0100] The comprehensive information processing module A4 mainly receives qualified product data sent by the data quality detection module A3, provides data analysis, information display and comprehensive application services to users, and provides status feedback to the application management module A1. The comprehensive information processing module A4 is mainly composed of plug-ins such as data comprehensive analysis, information feature fusion, and comprehensive data display.

[0101] like Figure 2 As shown, the present invention provides a method for evaluating the quality of platform processing information for terminal collaboration, which mainly includes the following steps:

[0102] S11. Regularly collect observation platform data information quality parameters p ij , forming a quality parameter set P, combining the quality parameters determined during platform testing Denoted as P o , the quality parameter difference d is calculated ij and parameter difference judgment coefficient α, if Then the quality parameter set P is better than P0;

[0103] S12, according to the observation platform data information quality parameter set P at time t t , generate application center information processing parameters x ij , platform information quality check parameter y ij and application-side data quality detection parameter z ij , forming a terminal collaborative quality assessment parameter set U, and U = (U Cen ,U Sat ,U App ), and submit a terminal collaborative quality parameter update application r to the mission planning system C1;

[0104] S13. Update the application request r according to the terminal collaboration quality parameter, and generate a change plan f for the application center processing parameters, an update plan g for the platform information quality inspection parameters, and an update plan h for the application - side data quality detection parameters in combination with the terminal operation status and measurement and control resource conditions;

[0105] S14. Check the version identification code f of the data processing parameters of the application center observation platform according to the change plan f of the application center processing parameters. If f run <f3, update the processing parameter set of this observation platform of the application center to U run ; Cen ;

[0106] S15. Check the version identification code g of the platform information quality inspection parameters according to the update plan g of the platform information quality inspection parameters. If g run <g3, update the platform information quality inspection parameter set of this platform to U run ; Sat ;

[0107] S16. Check the version identification code h of the data quality detection parameters of this observation platform on the application side according to the update plan h of the application - side data quality detection parameters. If h run <h3, update the processing parameter set of this observation platform of the application center to U run ; App .

[0108] A method for evaluating the quality of platform - processed information for terminal collaboration given by the present invention mainly includes the following steps:

[0109] S11. Regularly collect the data information quality parameter p of the observation platform ij , form a quality parameter set P, and calculate the quality parameter difference d denoted as P o and the parameter difference judgment coefficient α in combination with the quality parameters determined during the platform test. If ij then the quality parameter set P is superior to P0.

[0110] Generally, when the observation platform is running, it is affected by factors such as space - environment radiation, platform device attenuation, and abnormal control parameters. The quality of the observation platform data information will change, that is, the quality parameter p ij differs from the quality parameters determined during the platform test , denoted as d ij . The quality parameter set is denoted as P, and p ij ∈P. The platform - test quality parameter set is denoted as P o , and the quality parameter difference set is denoted as D, and d ij ​∈D. Among them, d ij It can be defined as:

[0111]

[0112] Parameter p for evaluating the quality of observation platform data information ij It is divided into two categories. One type of parameters is the larger the better, such as signal-to-noise ratio, detection rate and other parameters, which is recorded as d mn , and d mn ≥1; the other type of parameter is the smaller the better, which is recorded as d kl , and d kl ≤1, such as resolution, positioning accuracy and other parameters.

[0113] In order to quantitatively analyze the degree of quality improvement, the parameter difference judgment coefficient α can be defined, and the calculation formula is as follows:

[0114]

[0115] Among them, M, N, K, L are the total number of rows and columns of the corresponding information quality parameter matrix, k, l, m, n are variables, d kl The smaller the better the type parameter difference, d mn The bigger the better the type parameter difference.

[0116] Usually, the set of information quality parameters for observation platform data collected when the platform is delivered for use is defined as At this time, according to the definition, the quality parameter difference set can be calculated as follows: The parameter difference judgment coefficient is recorded as

[0117] When the observation platform is facing the terminal collaborative application, the quality assessment system C2 regularly collects the observation platform data information quality parameters and calculates the parameter difference judgment coefficient α. Then the quality parameter set P is better than P0. At this time, it is necessary to update the relevant quality parameters of the application center, platform processing and application-side processing.

[0118] S12, according to the observation platform data information quality parameter set P at time t t , generate application center information processing parameters x ij , platform information quality check parameter y ij and application-side data quality detection parameter z ij , forming a terminal collaborative quality assessment parameter set U, and U = (U Cen ,U Sat ,U App ), and submit an application r for updating the terminal collaborative quality parameters to the mission planning system C1.

[0119] In the collaborative application of observation information terminals, in order to reduce the difficulty of processing on the application side, a system design is carried out for information processing in the application center, information quality inspection and processing on the platform, and data quality detection and processing algorithms on the application side. Basic data processing such as radiation and geometry is completed in the application center, and the data information quality of the observation platform is monitored. Information processing such as radiation, geometry, data detection, and quality inspection is completed on the platform. Quality detection, information association, application processing, etc. are completed on the application side.

[0120] Generally, the application center information processing parameter is x ij , forming the parameter set U Cen , and x ij ∈U Cen ; The platform information quality check parameter is y ij , forming the parameter set U Sat , and y ij ∈U Sat ; The application-side data quality detection parameter is z ij , forming the parameter set U App , and z ij ∈U App At this time, a terminal collaborative quality assessment parameter set U is formed, denoted as U = (U Cen ,U Sat ,U App ).

[0121] At the same time, the quality assessment system C2 submits a terminal quality parameter update request r to the mission planning system C1, which can be expressed as:

[0122] r=(r1,r2,r3,r4,r5,r6,r7)

[0123] Among them: r1 is the terminal collaborative quality parameter update application code, which is unique;

[0124] r2 is the observation platform identification code, which is unique;

[0125] r3 is the parameter version identification code of the application center, which is used to identify the parameter version and is unique;

[0126] r4 is the platform information quality check parameter version identification code, which is used to identify the parameter version and is unique;

[0127] r5 is the application-side data quality detection parameter version identification code, which is used to identify the parameter version and is unique;

[0128] r6 is the terminal collaborative quality assessment parameter set U;

[0129] r7 is the terminal collaborative quality assessment parameter update time requirement.

[0130] S13. Based on the terminal collaborative quality parameter update application r, combined with the terminal operation status and measurement and control resource conditions, generate the application center processing parameter change plan f, the platform information quality inspection parameter update plan g and the application end data quality detection parameter update plan h.

[0131] The task planning system C1 generates the application center processing parameter change plan f based on the terminal quality parameter update application r proposed by the quality assessment system C2 and the application system operation status, which can be recorded as:

[0132] f=(f1,f2,f3,f4,f5)

[0133] Among them: f1 is the parameter change plan code of the application center, which is unique;

[0134] f2 is the observation platform identification code, and f2 = r2;

[0135] f3 is the application center processing parameter version identification code, and f3 = r3;

[0136] f4 is the application center processing parameter set U Cen ;

[0137] f5 is the time requirement for the application center to process parameter updates.

[0138] Similarly, combined with the platform operation status, the mission planning system C1 generates the platform information quality inspection parameter update plan g, which can be recorded as:

[0139] g=(g1,g2,g3,g4,g5)

[0140] Among them: g1 is the platform information quality inspection parameter update plan code, which is unique;

[0141] g2 is the observation platform identification code, and g2 = r2;

[0142] g3 is the platform information quality check parameter version identification code, and g3=r4;

[0143] g4 is the platform information quality inspection parameter set U Sat ;

[0144] g5 is the update time requirement for platform information quality inspection parameters.

[0145] According to the running status and usage of the application side, the task planning system C1 generates the application side data quality detection parameter update plan h, which can be recorded as:

[0146] h=(h1,h2,h3,h4,h5)

[0147] Wherein: h1 is the encoding of the application - side data quality detection parameter update plan, which is unique;

[0148] h2 is the encoding of the observation platform identifier, and h2 = r2;

[0149] h3 is the version identification code of the application - side data quality detection parameter, and h3 = r5;

[0150] h4 is the set U of application - side data quality detection parameters App ;

[0151] h5 is the time requirement for updating the application - side data quality detection parameters.

[0152] S14. According to the application center processing parameter change plan f, check the version identification code f of the application center observation platform data processing parameters run If f run < f3, update the processing parameter set of this observation platform in the application center to U Cen .

[0153] The application center has the function of processing observation platform data. Usually, during the test phase, the operation parameter f run is used as the input of the data - processing plug - in. When receiving the application center processing parameter change plan f, check the version identification code f of the application center observation platform data processing parameters run If f run < f3, update the processing parameter set of this observation platform in the application center to U Cen , and feedback the update status to the task planning system C1.

[0154] S15. According to the platform information quality inspection parameter update plan g, check the version identification code g of the platform information quality inspection parameters run If g run < g3, update the platform information quality inspection parameter set of this platform to U Sat .

[0155] The observation platform has the function of processing platform data. Usually, during the test phase, the data - processing operation parameter g run is used as the input of the data - processing module. When the platform receives the platform information quality inspection parameter update plan g, check the version identification code g of the platform information quality inspection parameters run If g run < g3, update the platform information quality inspection parameter set of this platform to U Sat , and feedback the update status to the task planning system C1 through observation.

[0156] S16. According to the application - side data quality detection parameter update plan h, check the version identification code h of the application - side data quality detection parameters for this observation platformrun Check. If h run < h3, update the processing parameter set of this observation platform in the application center to U App .

[0157] The application side has the function of processing the distributed data of the observation platform. Usually, the operation parameters h of data quality detection need to be configured during registration and use run as the input of the data processing plug-in. When the application side receives the data quality detection parameter update plan h, for the version identification code h of the data quality detection parameters of this observation platform on the application side run Check. If h run < h3, update the processing parameter set of this observation platform in the application center to U App , and feedback the update status to the information service system C3.

[0158] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features, and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A platform processing information quality assessment system for terminal collaboration, characterized by: The system comprises: Application center module, observation platform and several application terminals; The application center module performs task planning based on the user request sent by the application end, generates task instructions based on the generated task plan, and sends the task instructions to the observation platform; Generate a dynamic observation platform data information quality parameter set based on the observation platform's processed observation platform data; generate a terminal collaborative quality assessment parameter set based on the observation platform data information quality parameter set, wherein the terminal collaborative quality assessment parameter set is divided into three subsets, namely a first subset, a second subset, and a third subset. The parameters in the first subset are application-end data quality detection parameters, the parameters in the second subset are application center module information processing parameters, and the parameters in the third subset are observation platform information quality detection parameters; and the terminal collaborative quality assessment parameter set is regularly updated; Determining, based on the processed observation platform data of the observation platform, parameter values ​​of each parameter in the latest second quality assessment parameter set, thereby performing information processing quality analysis on the application center module; the parameters in the second quality assessment parameter set are updated when the terminal collaborative quality assessment parameter set changes, and the parameters in the second quality assessment parameter set are the same as the parameters in the updated second subset; The observation platform is used to obtain earth observation data, process the earth observation data to generate processed observation platform data; determine the parameter value of each parameter in the latest third quality assessment parameter set based on the processed observation platform data of the observation platform, thereby performing observation platform information quality analysis; when the terminal collaborative quality assessment parameter set changes, the application center module obtains the parameters in the updated third subset and updates the parameters in the third quality assessment parameter set to the parameters in the updated third subset; and provides the observation platform data required by the application end to the application end in response to a task instruction from the application center module; The application end receives a user request and sends the user request to the application center module; receives the observation platform data required by the application end sent by the observation platform, and performs quality detection on the observation platform data required by the application end sent by the observation platform according to the various parameters in the latest first quality assessment parameter set; when the terminal collaborative quality assessment parameter set changes, the application center module obtains the parameters in the updated first subset and updates the parameters in the first quality assessment parameter set to the parameters in the updated first subset.

2. The system according to claim 1, wherein The application center module includes an information service submodule, a task planning submodule and a second quality assessment submodule; The information service submodule is used to receive the user request sent by the application end and send the user request to the task planning submodule; receiving the updated parameters in the first subset sent by the second quality assessment submodule, and sending the updated parameters in the first subset to the application end; The task planning submodule performs task planning based on the user request, generates task instructions based on the generated task plan, and sends the task instructions to the observation platform; receiving the updated third subset sent by the second quality assessment submodule, generating a quality parameter update instruction, and sending the quality parameter update instruction to the observation platform; The second quality assessment submodule determines the parameter values ​​of each parameter in the latest second quality assessment parameter set based on the processed observation platform data of the observation platform, thereby performing information processing quality analysis of the application center module; regularly updates the terminal collaborative quality assessment parameter set, and when the terminal collaborative quality assessment parameter set changes, updates each parameter in the second quality assessment parameter set based on the updated second subset, sends the updated first subset to the information service submodule, and sends the updated third subset to the task planning submodule.

3. The system according to claim 2, wherein: The observation platform includes a platform mission control submodule, a platform earth observation submodule, a platform data processing submodule, a third quality assessment submodule, and a platform data distribution submodule; The platform task control submodule receives the task instruction and the quality parameter update instruction sent by the application center module, sends the task instruction to the platform earth observation submodule, and updates each parameter in the third quality assessment parameter set based on the updated third subset; The platform earth observation submodule obtains the task instruction sent by the platform task control submodule, performs earth observation based on the task instruction, obtains earth observation data, and sends the earth observation data to the platform data processing submodule; The platform data processing submodule receives the earth observation data acquired by the platform earth observation submodule, performs data radiation correction and geometric correction, and generates processed observation platform data; and sends the processed observation platform data to the third quality assessment submodule; The third quality assessment submodule determines the parameter value of each parameter in the latest third quality assessment parameter set based on the processed observation platform data of the observation platform, thereby performing observation platform information quality analysis; when the terminal collaborative quality assessment parameter set changes, updates each parameter in the third quality assessment parameter set based on the updated third subset; Selecting the observation platform data corresponding to the user request from the processed observation platform data whose analysis results are qualified, adding data quality auxiliary parameters to the selected observation platform data as the observation platform data required by the application end; and sending the observation platform data required by the application end to the platform data distribution submodule; The platform data distribution submodule sends the observation platform data required by the application end to the application end.

4. The system according to claim 3, wherein: The application end includes an application management submodule, a data receiving submodule, a first quality assessment submodule and a comprehensive information processing submodule; The application management submodule is configured to receive the user request, receive the updated first subset sent by the application center module, and send the updated first subset to the first quality assessment submodule; The data receiving submodule receives the observation platform data required by the application end sent by the observation platform, decodes the observation platform data required by the application end, and sends the decoded observation platform data required by the application end to the first quality assessment submodule; The first quality assessment submodule performs quality analysis on the observation platform data required by the application end after decoding according to each parameter in the latest first quality assessment parameter set; When the terminal collaborative quality assessment parameter set changes, each parameter in the first quality assessment parameter set is updated based on the updated first subset; and observation platform data required by the application end after decoding processing with a qualified quality analysis result is sent to the comprehensive information processing submodule; The comprehensive information processing submodule obtains the observation platform data required by the application end after decoding processing, the quality analysis result of which is qualified, performs data analysis, and displays the data analysis result to the user.

5. A method for assessing the quality of information processed by a platform for terminal collaboration, based on the system for assessing the quality of information processed by a platform for terminal collaboration as claimed in any one of claims 1 to 4, characterized in that: The method comprises: Step S1: Obtain the quality parameter set P determined by the terminal collaboration-oriented platform processing information quality assessment system during the testing phase. o ; Assign the observation platform data information quality parameter set P to P o , the initial value of the parameter difference judgment coefficient of the observation platform data information quality parameter set P is Step S2: Regularly monitor and obtain the processed observation platform data of the observation platform. If the monitoring stops, the method ends; otherwise, obtain the processed observation platform data of the observation platform, and determine the observation platform data information quality parameter set P at time t based on the obtained processed observation platform data of the observation platform. t , t is the time when the processed observation platform data of the observation platform is obtained; Step S3: Determine the observation platform data information quality parameter set P at time t t The difference d between the quality parameters of the observation platform data information quality parameter set P ij And the parameter difference judgment coefficient α, where: p ij ∈P t , p ij P t Parameters in is the observation platform data information quality parameter set P and p ij Corresponding parameters: P t The parameters in the include first-type parameters and second-type parameters, where the first-type parameters are parameters where the larger the parameter value, the better, and the second-type parameters are parameters where the smaller the parameter value, the better. The parameter difference d of the first-type parameters is mn ≥1; parameter difference d of the second type parameter kl ≤1; M, N are the total number of rows and columns of the first type of parameters in the information quality parameter matrix; K, L are the total number of rows and columns of the second type of parameters in the information quality parameter matrix; k, l, m, n are variables; Step S4: If Go to step S5; otherwise, go to step S2; Step S5: Assign the observation platform data information quality parameter set P to P t , assign the parameter difference judgment coefficient of the observation platform data information quality parameter set P to α; generate the application end data quality detection parameter set U based on the observation platform data information quality parameter set P App , application center module information processing parameter set U Sat and application-side data quality detection parameter set U Cen , forming the terminal collaborative quality assessment parameter set U, U=(U Cen ,U Sat ,U App ), where U App is the first subset after update, U Cen is the updated second subset, U Sat For the updated third subset, the terminal-collaborative platform processing information quality assessment system updates the first quality assessment parameter set, the second quality assessment parameter set, and the third quality assessment parameter set based on the updated first subset, the updated second subset, and the updated third subset respectively; and enters step S2.

6. An electronic device, comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 4.

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