CN116381745A - Data analysis method and data analysis system - Google Patents
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Abstract
The invention relates to a data analysis method and a data analysis system, wherein the data analysis method comprises the following steps: s100, preprocessing data received by a navigation receiver of a satellite; s200, analyzing the preprocessed data according to the protocol type of the navigation receiver; s300, configuring a data analysis template according to the analyzed data; s400, carrying out data analysis according to the data analysis template. The invention can realize the general data analysis method aiming at satellite navigation receivers with different protocol types.
Description
Technical Field
The invention relates to the fields of satellite technology and data analysis, in particular to a data analysis method and a data analysis system.
Background
Data analysis refers to the analysis of a large amount of data collected by using proper statistics and analysis methods, and summarizing, understanding and digesting the data to maximize the function of developing the data and play a role in data. Data analysis is a detailed study and summarization of the data in order to extract useful information and form conclusions.
The purpose of data analysis is to concentrate and refine information hidden in a large set of unordered data, thereby finding out the internal law of the investigated object. In practice, the data analysis may assist the user in making decisions to make relevant decisions about product performance. Data analysis is the process of collecting data and analyzing the data in an organized and purposeful way to make the data into information. This process is a support process for the quality management system. The data analysis is properly applied in the whole life cycle of the whole product, so that the effectiveness of the product can be improved.
Along with the development of navigation positioning technology in China, the types of receivers are continuously increased, the functions are increasingly complex, and the scale and the complexity of corresponding navigation receiver data processing software are also increased. The data analysis is widely applied in the navigation field, and a user mainly performs data analysis and on-orbit data analysis on an on-orbit navigation receiver and a navigation receiver in a test stage. The ground needs to analyze and analyze the data of the navigation positioning system, the input format of the data file to be analyzed is not uniform, the model data protocol is complex, the parameters to be analyzed are numerous, and the analysis method is not uniform, so that great challenges are provided for users and the work of analysts thereof, and the current situations of 'model increase and period shortening' of the product development of the navigation receiver can not be met gradually.
Disclosure of Invention
In view of the above problems, the present invention provides a data analysis method and a data analysis system, which can implement a general data analysis method for satellite navigation receivers with different models.
In a first aspect, a first embodiment of the present invention proposes a data analysis method, the data analysis method including:
s100, preprocessing data received by a navigation receiver of a satellite;
s200, analyzing the preprocessed data according to the protocol type of the navigation receiver;
s300, configuring a data analysis template according to the analyzed data;
s400, carrying out data analysis according to the data analysis template.
Further, in S100, the data received by the navigation receiver is preprocessed by a link preprocessing program, where the preprocessing program is in a dynamic link form.
Further, the parsing the preprocessed data in S200 includes:
s210, configuring the attribute of the data packet according to the protocol type of the navigation receiver;
s220, configuring elements of the data packet to obtain an analyzed data file;
s230, storing the parsed data file in a preset format.
Further, the attributes of the data packet in S210 include a name of the data packet, a directory name of the save file, a descrambling setting, a multi-instance setting, a byte adjustment setting, a time continuity interpretation setting, and an accumulation field interpretation setting;
the elements of the data packet in S220 include a type, an address, a bit offset, a bit width, and/or a numerical value of the data packet, where the type includes a packet header, an integer, an unsigned integer, a single precision floating point number, a double precision floating point number, and an enumeration.
And in the step S230, the parsed data file is stored in an XML format.
Further, the configuring the data analysis template in S300 includes:
s310, selecting a matched data analysis template according to the protocol type of the navigation receiver;
s320, adding and/or deleting data items in the data analysis template according to the analyzed data;
s330, configuring additional attributes for data analysis in the data analysis template according to the data analysis requirements.
Further, the format of the data analysis template in S310 is the same as the format of the data file analyzed in S200;
in S320, adding and/or deleting data items in the data analysis template according to the data items to be analyzed in the analyzed data
The additional attribute in S330 includes a coordinate conversion parameter.
Further, the data analysis in S400 includes:
s410, introducing the analyzed data and the corresponding data analysis templates thereof into a data analysis program;
s420, configuring data source parameters for data analysis in the data analysis program;
s430, setting a splitting condition for filtering the condition data which does not meet the condition in the data analysis program;
s440, generating a data analysis result according to the data analysis program and outputting the data analysis result in a preset format.
Further, the data analysis program in S410 is Matlab;
the configuring data source parameters in S420 includes adding and/or deleting data source parameters in the data analysis program, where the data source parameters include a data source name, a source file path, whether batch processing is performed, a folder in which a batch processing file is located, a batch processing file extension, whether the source file needs preprocessing and preprocessing programs and parameters, and whether the source file needs data processing and a data template associated with the data source;
setting error statistics criteria in the data analysis program, wherein the error statistics criteria comprise RMS, 1 sigma and 3 sigma, and storing the set data source parameters and error statistics criteria in an xml format to a configuration file for later data analysis to be invoked;
the data analysis result in S440 is generated in the form of a graph and output in the format of a conf.ini file.
Further, the step S400 further includes:
s500, generating a data analysis report according to the data analysis result;
wherein the data analysis report includes an analysis report of single packet data and an analysis report of batch data.
In a second aspect, a second embodiment of the present invention provides a data analysis system, for use in the data analysis method according to any one of the first aspect, where the data analysis system includes an XML file reading module, an engineering manager, a data packet display module, a data packet parsing module, a data source display module, a data source management module, a system status attribute display module, and a status bar display module.
The data analysis method and the data analysis system of the embodiment of the invention can perform preprocessing format conversion on input data aiming at navigation receivers of different protocol types to obtain input data in a unified format, then customize corresponding data analysis templates according to the input protocol, store the data analysis templates and call the data analysis templates when the input protocol data of the same type are analyzed later, the output data can be customized by a user, the data analysis can carry out error statistics, and the data analysis system has the function of batch output report, thereby providing a universal data analysis method for different navigation receivers carried by satellites, improving the data analysis efficiency, having no need of manual watch, having no requirement on personnel capability and experience, and saving time cost and labor cost.
The embodiment of the invention can perform format conversion, input protocol modeling and output data customization by a user on the basis of the existing data analysis, and perform statistics, batch processing and output evaluation reporting functions on the RMS, 1 sigma and 3 sigma errors of the output data, thereby providing a data analysis tool for a GNSS receiver and related systems carried by satellites and having wide application prospects. According to practical verification, the data analysis efficiency is improved by about 400%, the time benefit of a general analysis platform for the data analysis of the GNSS receiver carried by the satellite is verified, after the general data analysis platform is applied, only one user person is required to operate step by step according to a software operation manual, the capability experience of the user person is not excessively hard, the person is not required to be on duty, the human resources are saved, and the human benefit is improved by 100%.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a data analysis method according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a data analysis method according to an embodiment of the invention;
FIG. 3 is a schematic flow chart of a data analysis method according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of a data analysis method according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a data analysis method for performing data analysis on batch data and generating reports according to an embodiment of the invention;
FIG. 6 is a schematic diagram of a data analysis method according to an embodiment of the present invention, in which data analysis is performed on single packet data and no report is generated;
fig. 7 is a schematic diagram of a data analysis method according to an embodiment of the present invention for performing data analysis on single packet data and generating a report.
Detailed Description
The description of the embodiments of this specification should be taken in conjunction with the accompanying drawings, which are a complete description of the embodiments. In the drawings, the shape or thickness of the embodiments may be enlarged and indicated simply or conveniently. Furthermore, portions of the structures in the drawings will be described in terms of separate descriptions, and it should be noted that elements not shown or described in the drawings are in a form known to those of ordinary skill in the art.
Any references to directions and orientations in the description of the embodiments herein are for convenience only and should not be construed as limiting the scope of the invention in any way. The following description of the preferred embodiments will refer to combinations of features, which may be present alone or in combination, and the invention is not particularly limited to the preferred embodiments. The scope of the invention is defined by the claims.
As shown in fig. 1 to 4, the data analysis method according to the embodiment of the present invention includes the following steps:
s100, preprocessing data received by a navigation receiver of a satellite.
In this embodiment, for the problem of uncertainty in the format of the input data file, the data format is preprocessed in the data analysis system by the link preprocessing program. The preprocessing program may exist in a dynamic link form that may be saved to an associated configuration file for format conversion by the user.
And S200, analyzing the preprocessed data according to the protocol type of the navigation receiver.
In this embodiment, for navigation receivers of different protocol types, a user may form a data configuration template for different input protocols in an autonomous configuration manner, and save the data configuration template for later invocation. The next time input data of the saved protocol type is encountered, it can be directly invoked or used by means of partial modification. Therefore, a user can conveniently check related parameters and know the performance of the navigation receiver.
In this embodiment, S200 specifically includes:
s210, configuring the attribute of the data packet according to the protocol type of the navigation receiver.
The attributes of the data packet include the name of the data packet, the directory name of the save file, the descrambling setting, the multi-instance setting, the byte adjustment setting, the time continuity interpretation setting and the accumulation field interpretation setting.
S220, configuring elements of the data packet to obtain the analyzed data file.
The element of the data packet, used for describing the information set transmitted by the data packet, is the minimum unit for describing a certain data packet, and the common attribute supported by each data packet item comprises: (1) name: text information describing a certain packet item; (2) type (2): defining data packet item types (such as packet headers, integers, unsigned integers, single precision floating point numbers, double precision floating point numbers, and enumeration); (3) address: the byte address of the packet entry relative to the start position of the packet; (4) bit offset: the packet entry is bit-offset within a byte; (5) bit width: the data width of the packet item; (6) numerical value: valid for the join type, indicating the validity of a certain sub-packet of the data packet.
S230, storing the parsed data file in a preset format.
The XML format can be adopted for storage, and meanwhile, for convenient operation, the format of the user subsequent configuration data analysis template is also XML format.
S300, configuring a data analysis template according to the analyzed data.
In this embodiment, the data analysis template is set by clicking a right button on the corresponding data packet in the interactive page of the system, and adding the data analysis template.
In this embodiment, S300 specifically includes:
and S310, selecting a matched data analysis template according to the protocol type of the navigation receiver.
The data analysis templates corresponding to the navigation receivers of different protocol types are different. The data analysis templates used by the navigation receiver of the same protocol type can be invoked directly when it has been previously subjected to data analysis. Meanwhile, in order to facilitate the configuration of the subsequent data analysis program, the data analysis template adopts the format which is the same as the file format output when the data packet is analyzed before, and can be in an XML format.
S320, adding and/or deleting data items in the data analysis template according to the parsed data.
For data of the same protocol type, according to the data analysis requirement, data items to be analyzed can be added and/or deleted in the data analysis template to form the data analysis template suitable for the data analysis requirement.
S330, configuring additional attributes for data analysis in the data analysis template according to the data analysis requirements.
Additional attributes are added to the data analysis template, mainly to provide the user with operations of position and velocity accuracy. The position and speed accuracy operation of the navigation receiver requires the input of coordinate conversion parameters for coordinate conversion, and therefore the coordinate conversion parameters are added as additional attributes in the data analysis template. For example, the position accuracy may be calculated from a trajectory file configuring the input signal source theory and the output triaxial position velocity.
S400, carrying out data analysis according to the data analysis template.
In this embodiment, the data analysis is to select a right-click single-machine data source and add the data source in the interactive page of the data analysis program, so that the addition of the corresponding data source node can be completed in the tree diagram. Or clicking a right button on a certain data source node of the tree diagram, selecting a deleting data source, and completing the deletion of the corresponding data source node.
In this embodiment, S400 specifically includes:
s410, introducing the analyzed data and the corresponding data analysis templates thereof into a data analysis program;
the data analysis program can be Matlab, all data items to be analyzed are configured on the data analysis template according to the data analysis requirement, and the data analysis template in the XML format can be directly input into the Matlab for data analysis.
S420, configuring data source parameters for data analysis in the data analysis program.
The data source parameters are configured according to the data analysis requirement, and include the data source name, the source file path, whether batch processing is performed, the folder in which the batch processing file is located, the batch processing file extension, whether the source file needs preprocessing and preprocessing programs and parameters, and whether the source file needs data processing and a data template associated with the data source.
S430, setting a splitting condition for filtering the unsatisfied condition data in the data analysis program.
Matlab still includes the error statistics function, sets up error statistics standard in advance, can filter out the data that does not satisfy the condition, and error statistics standard includes RMS, 1σ and 3σ. And (4) analyzing the data according to the input data analysis template Matlab. The data source parameters and error statistics that have been set can be saved to a configuration file in xml format for later recall in the analysis of data of the same protocol type.
S440, generating a data analysis result according to the data analysis program and outputting the data analysis result in a preset format.
The analysis result of the data analysis program is generated in the form of a graph and output in the conf.ini file format.
S500, generating a data analysis report according to the data analysis result.
The data analysis report includes an analysis report for single packet data and an analysis report for batch data.
As shown in FIG. 5, when data analysis is performed on batch data, only data analysis reports can be selectively generated.
As shown in fig. 6 and 7, when data analysis is performed on single packet data, a data analysis report may be selectively generated, or a data analysis report may not be selectively generated
The embodiment of the invention also provides a data analysis system which comprises an XML file reading module, an engineering manager, a data packet display module, a data packet analysis module, a data source display module, a data source management module, a system state attribute display module and a state column display module. The user configures related parameters by running the data analysis system to implement the data analysis method as described above. The main functions of the data analysis system comprise background operation, data packet display, data source data processing and system state attribute display, and the data analysis system comprises four main components.
The background operation mainly comprises the following aspects: (1) loading a system, reading engineering files, creating entities such as a data source, a data packet and the like, and establishing a connection between the entities; (2) analyzing the data packet according to the configuration file; (3) analyzing the data for storage and subsequent processing; the processed results are stored and reports are generated. (4) Selection of an operating mode: selecting a report generating mode and a report not generating mode, wherein the report not generating mode only supports single-packet data processing, and the report generating mode supports batch processing; (5) display of data source status: listing all data packets and data packet templates configured in the system and their attributes. The data source matches the set data source code data packet with the data template according to the configuration, analyzes the data template according to the data protocol after matching the data template, analyzes the data according to the set corresponding algorithm program after analyzing the data template, obtains an analysis result, and can select whether to generate a report.
In summary, the data analysis method and the data analysis system according to the embodiments of the present invention have the following advantages:
(1) So that the input data file format types of the navigation receiver to be analyzed can be diversified.
(2) The analysis data analysis template can be configured according to the user requirement or the known template is loaded, the size of the data packet, the parameter format, the position and the offset of the data packet are imported, the use requirements of different analysis protocols caused by different navigation receivers for the user can be flexibly met, the software support can import a universal configuration checking function, and the time consumption of testers in the aspect of configuring the data packet is reduced.
(3) Some physical quantities in the data can be tested, and the corresponding interpretation rules of the test data are configured, the physical quantities are interpreted, the data positions which do not accord with the rules are marked, the values of the error data are marked, and the interpretation rules support: whether the selected physical quantity satisfies a set logical condition (equal to, unequal to, less than, greater than or equal to); joint interpretation, i.e. a logical combined interpretation of a plurality of physical quantities (the relationship between the conditions being and or).
(4) The user selects certain physical quantities in the test data, configures the analysis method of the test data, draws the analysis result into a curve for display and storage, and stores the curve in a database for the next time of direct call inquiry. And the third-party data processing library is imported through configuration, and the library forms comprise DLLs in a standard C mode, DLL libraries conforming to the Microsoft net system specification, M files of Matlab and the like. The data analysis method supports: data consistency analysis, namely judging the difference value between the front value and the rear value of physical quantity test data; and (3) precision analysis, namely solving the mean value and the variance of the difference value according to the theoretical value and the analysis method corresponding to the physical quantity test data.
(5) And generating analyzed data and analysis data required by the user according to the user configuration.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (10)
1. A data analysis method, the data analysis method comprising:
s100, preprocessing data received by a navigation receiver of a satellite;
s200, analyzing the preprocessed data according to the protocol type of the navigation receiver;
s300, configuring a data analysis template according to the analyzed data;
s400, carrying out data analysis according to the data analysis template.
2. The method according to claim 1, wherein the data received by the navigation receiver is preprocessed in S100 by a link preprocessing program, and the preprocessing program is in a dynamic link form.
3. The method according to claim 1, wherein analyzing the preprocessed data in S200 includes:
s210, configuring the attribute of the data packet according to the protocol type of the navigation receiver;
s220, configuring elements of the data packet to obtain an analyzed data file;
s230, storing the parsed data file in a preset format.
4. The data analysis method according to claim 3, wherein the attributes of the data packet in S210 include a name of the data packet, a directory name of the save file, a descrambling setting, a multi-instance setting, a byte adjustment setting, a time continuity interpretation setting, and an accumulation field interpretation setting;
the elements of the data packet in S220 include a type, an address, a bit offset, a bit width, and/or a numerical value of the data packet, where the type includes a packet header, an integer, an unsigned integer, a single precision floating point number, a double precision floating point number, and an enumeration.
And in the step S230, the parsed data file is stored in an XML format.
5. The data analysis method according to claim 1, wherein configuring the data analysis template in S300 includes:
s310, selecting a matched data analysis template according to the protocol type of the navigation receiver;
s320, adding and/or deleting data items in the data analysis template according to the analyzed data;
s330, configuring additional attributes for data analysis in the data analysis template according to the data analysis requirements.
6. The data analysis method according to claim 5, wherein the format of the data analysis template in S310 is the same as the format of the data file parsed in S200;
in S320, adding and/or deleting data items in the data analysis template according to the data items to be analyzed in the analyzed data
The additional attribute in S330 includes a coordinate conversion parameter.
7. The data analysis method according to claim 1, wherein the data analysis in S400 includes:
s410, introducing the analyzed data and the corresponding data analysis templates thereof into a data analysis program;
s420, configuring data source parameters for data analysis in the data analysis program;
s430, setting a splitting condition for filtering the condition data which does not meet the condition in the data analysis program;
s440, generating a data analysis result according to the data analysis program and outputting the data analysis result in a preset format.
8. The data analysis method according to claim 7, wherein the data analysis program in S410 is Matlab;
the configuring data source parameters in S420 includes adding and/or deleting data source parameters in the data analysis program, where the data source parameters include a data source name, a source file path, whether batch processing is performed, a folder in which a batch processing file is located, a batch processing file extension, whether the source file needs preprocessing and preprocessing programs and parameters, and whether the source file needs data processing and a data template associated with the data source;
setting error statistics criteria in the data analysis program, wherein the error statistics criteria comprise RMS, 1 sigma and 3 sigma, and storing the set data source parameters and error statistics criteria in an xml format to a configuration file for later data analysis to be invoked;
the data analysis result in S440 is generated in the form of a graph and output in the format of a conf.ini file.
9. The data analysis method according to claim 1, wherein the step S400 further comprises:
s500, generating a data analysis report according to the data analysis result;
wherein the data analysis report includes an analysis report of single packet data and an analysis report of batch data.
10. A data analysis system for use in a data analysis method according to any one of claims 1 to 9, wherein the data analysis system comprises an XML file reading module, an engineering manager, a data packet display module, a data packet parsing module, a data source display module, a data source management, a system status attribute display module, and a status bar display module.
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