CN115994718A - General training evaluation system - Google Patents
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Abstract
The application relates to a general training evaluation system, which comprises an evaluation scheme design management module, an evaluation task design management module, an index calculation flow design module, an index system design management module, a data acquisition and analysis processing module and a result display design management module. The user determines an evaluation target according to the evaluation requirement, designs a new evaluation scheme or selects an existing evaluation scheme, selects an existing evaluation task module in an evaluation task design management module, sets evaluation parameters in an index calculation flow design module and an index system design management module, acquires data required by evaluation through a data acquisition and analysis processing module, performs parallel preprocessing, starts to execute an evaluation task, visually displays an evaluation result, and supports generation of a customized evaluation report. By adopting the system, the evaluation of training services such as various equipment operations, vehicle driving, command control and the like can be realized, and the repeated operation of a user on an evaluation task is reduced.
Description
Technical Field
The application relates to the technical field of training evaluation, in particular to a general training evaluation system.
Background
After various training is carried out aiming at the services of equipment operation, carrier driving, command control and the like, various personnel or equipment needs to be evaluated. The prior art is an evaluation or subject examination mode, which has the problems of non objective evaluation, incomplete evaluation, difficult subject change and the like, and lacks a set of general evaluation system support and informatization means. How to evaluate the training effect is a continuous exploratory and progressive process, so that the system is required to support a self-defined evaluation index system and an evaluation algorithm.
Disclosure of Invention
Based on the above, it is necessary to provide a general training evaluation system with expandable, repeatable application and flexible configuration, which can provide training evaluation support for service training such as equipment operation, vehicle driving, command control and the like.
A generic training evaluation system, the system comprising:
the evaluation scheme design management module is used for determining an evaluation target according to the evaluation requirement, designing different evaluation schemes according to the evaluation target, managing the evaluation schemes and providing a reusable evaluation task template for the evaluation task design and management module.
And the assessment task design management module is used for applying the flow design diagram, the index system design, the index design and the presentation design information in the existing assessment scheme to the assessment task of the current period.
And the index calculation flow design module is used for designing and managing the index calculation flow templates.
The index system design management module is used for index system grouping management, index system import, export, comparison and combination; the design and management of the assessment scheme and the design and management of the assessment task are convenient, and the index system with reusability is quoted.
The data acquisition and analysis processing module is used for acquiring data from the training test data, the training simulation data or the database according to the evaluation requirement and preprocessing the acquired data.
The result display design management module is used for displaying the window form of the index system and the index evaluation result, displaying data and generating a report according to the selected evaluation task.
The user determines an evaluation target according to the evaluation requirement, designs a new evaluation scheme or selects an existing evaluation scheme in an evaluation scheme design management module according to the evaluation target, selects an existing evaluation task module in an evaluation task design management module, sets evaluation parameters in an index calculation flow design module and an index system design management module, acquires data required by evaluation through a data acquisition and analysis processing module and performs parallel preprocessing after the setting is completed, starts to execute an evaluation task, visually displays an evaluation result, and can compare different evaluation schemes and simultaneously supports the generation of customized evaluation report documents.
In one embodiment, the evaluation scheme design management module comprises:
and the evaluation scheme management sub-module is used for carrying out new, editing and deleting management on the evaluation scheme.
And constructing a data structure sub-module for carrying out data structure classification management and data structure management.
The index system design submodule is used for carrying out management and efficiency algorithm configuration of the index system.
And the index calculation flow design sub-module is used for designing, creating, editing and deleting the index calculation flow.
And the evaluation display design sub-module is used for performing design, new construction, editing and deletion of evaluation display.
In one embodiment, the evaluation task design management module includes:
and the evaluation task management sub-module is used for carrying out new creation, editing and deletion management on the evaluation task.
And the data structure sub-module is constructed and used for carrying out data structure classification management and data structure management, and binding the data sources for the assessment task.
The index system design submodule is used for carrying out management and efficiency algorithm configuration of the index system.
And the index calculation flow design sub-module is used for designing, creating, editing and deleting the index calculation flow.
And the factor analysis design sub-module is used for performing sensitivity analysis, correlation analysis and independence analysis.
And the evaluation display design sub-module is used for performing design, new construction, editing and deletion of evaluation display.
And the evaluation report design sub-module is used for designing, creating, editing and deleting the evaluation report.
And the evaluation operator module is used for performing training evaluation calculation of the evaluation task.
And the evaluation result submodule performs display, export and report generation of the evaluation result.
In one embodiment, the index calculation flow design module includes:
and the index calculation flow classification management sub-module is used for carrying out new, editing and deleting management on the index calculation flow classification.
And the index calculation flow management sub-module is used for designing, creating, editing, deleting, importing and exporting the index calculation flow.
And the basic operator management sub-module is used for managing algorithm operators in the index calculation flow design.
In one embodiment, the index hierarchy design management module includes:
and the index system classification management sub-module is used for carrying out new, editing and deleting management on index system classification.
And the index system management sub-module is used for designing, creating, editing, deleting, importing and exporting the index system.
The index system evaluation algorithm management sub-module is used for managing an index system evaluation algorithm library and comprises a weight algorithm and a training evaluation algorithm.
In one embodiment, the data acquisition and analysis processing module includes:
the data acquisition sub-module is used for extracting partial data from the training test data, the training simulation data or the database according to the evaluation requirement and managing the data templates of different typical training evaluation tasks; and is also used for completing the import and export of data.
The data analysis processing is used for preprocessing the acquired data, and the preprocessing operation comprises the following steps: data sampling, zero-averaging, stabilization treatment, data denoising, outlier rejection, power spectrum calculation, feature extraction and data analysis and calculation.
In one embodiment, the number of data files supported by the data acquisition sub-module for data import includes: text data, XML data, CSV data, excel data, sqlServer data, oracle data, mySQL data, and dream data.
The data export includes: export to files and save to database, export to files support txt, excel and csv formats.
In one embodiment, the result presentation design management module comprises:
and selecting an evaluation task sub-module for opening the existing evaluation task.
The training evaluation analysis and display module is used for comparing evaluation results of all evaluation tasks in training evaluation and analyzing the change trend of the index value.
And the evaluation result deriving sub-module is used for deriving the evaluation result.
And the evaluation report generation sub-module is used for generating an evaluation report according to the evaluation report template.
In one embodiment, the system further comprises a plug-in configuration module, which is used for integrating a data import plug-in, a preprocessing algorithm plug-in, a weight algorithm plug-in, a performance algorithm plug-in, an index calculation flow plug-in and an evaluation display plug-in, so that secondary development of a user and use management of the algorithm plug-in are facilitated.
In one embodiment, the plug-in configuration module includes:
and the generating plug-in code sub-module is used for generating a corresponding algorithm code frame according to the algorithm classification.
And the plug-in classification management sub-module is used for responsible for new creation, editing and deletion of each classification of plug-ins.
And the plug-in management sub-module is used for carrying out new creation, registration and deletion of the algorithm plug-in.
The general training evaluation system comprises an evaluation scheme design management module, an evaluation task design management module, an index calculation flow design module, an index system design management module, a data acquisition and analysis processing module and a result display design management module. The user determines an evaluation target according to the evaluation requirement, designs a new evaluation scheme or selects an existing evaluation scheme in an evaluation scheme design management module according to the evaluation target, selects an existing evaluation task module in an evaluation task design management module, sets evaluation parameters in an index calculation flow design module and an index system design management module, acquires data required by evaluation through a data acquisition and analysis processing module and performs parallel preprocessing after the setting is completed, starts to execute an evaluation task, visually displays an evaluation result, and can compare different evaluation schemes and simultaneously supports the generation of customized evaluation report documents. By adopting the system, various training services such as various equipment operations, vehicle driving, command control and the like can be evaluated, and repeated operations of a user on evaluation tasks are reduced.
Drawings
FIG. 1 is a block diagram of a general training evaluation system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in FIG. 1, a generic training evaluation system is provided, the system comprising:
the evaluation scheme design management module is used for determining an evaluation target according to the evaluation requirement, designing different evaluation schemes according to the evaluation target, managing the evaluation schemes and providing a reusable evaluation task template for the evaluation task design and management module.
Specifically, the evaluation scheme design management mainly aims at meeting the requirement of the multiplexing function of the evaluation task, provides the functions of creating, modifying and deleting the evaluation scheme, can customize the evaluation flow, can create, modify and delete index system classification, can create, modify and delete index system, provides a graphical interface design index system flow chart, and can configure a calculation mode, a weight algorithm and a performance algorithm in the index system. After the index system is designed, the configuration is saved to the current evaluation scheme. The evaluation scheme provides a result display configuration function, and can create, modify and delete display, and design display of a graphical interface. The evaluation scheme design and management mainly provides the function of establishing and managing the evaluation scheme, mainly provides the accumulation function of the evaluation task templates, provides reusable templates for the evaluation task design and management, and reduces repeated design operation of a user on the evaluation task. The method supports the pre-design of an index system, an index calculation flow and an evaluation result display, and provides uniform scheme configuration for general tasks.
And the assessment task design management module is used for applying the flow design diagram, the index system design, the index design and the presentation design information in the existing assessment scheme to the assessment task of the current period.
Specifically, the evaluation task design and management module is mainly used for providing support for a specific evaluation task, and can create, modify and delete the evaluation task, and the evaluation task can refer to the existing evaluation scheme to apply the information such as flow design diagrams, index system design, index design, presentation design and the like in the evaluation scheme to the evaluation task in the current period, so that repetitive work of a user is avoided.
And the index calculation flow design module is used for designing and managing the index calculation flow templates.
Specifically, the index flow template mainly provides a multiplexing function for index design, and commonly used indexes are made into templates so as to directly refer to the existing templates when different evaluation tasks and evaluation schemes design indexes.
The index calculation flow design provides new, modified and deleted index classification, new, modified and deleted index functions, the index flow diagram design can be carried out, the system provides built-in calculation flow operators, each index consists of control type operators (beginning and ending), data source operators and conversion type operators (filtering and script and the like), therefore, the operators are classified and displayed in a graphical interface when an index design interface, the operators are only required to be dragged to the design interface when the index is designed, the operators are connected by wires, the attributes of related operators of different operators are clicked and correspondingly displayed, operations such as operator names can be modified, data can be browsed if the operators are the data source operators, corresponding conversion operation can be carried out if the operators are the conversion type operators, and the currently input data table can be processed by editing C# scripts on a visual interface if the operators are the C# script operators, so that the service requirements of the index are met. The data source operator is designed by data acquisition and preprocessing. If operators built in the system can not meet the requirements, the system provides a secondary development function, provides a uniform interface for development and registration of special algorithms, and can be used in an index design interface after successful registration. And an index flow chart importing and exporting function is provided, so that the user operation is convenient.
The index system design management module is used for index system grouping management, index system import, export, comparison and combination; the design and management of the assessment scheme and the design and management of the assessment task are convenient, and the index system with reusability is quoted.
Specifically, the index calculation flow design mainly realizes the functions of designing and managing the index calculation flow template, and the like, facilitates the design and management of an evaluation scheme and the design and management of an evaluation task and refers to the index template, and the main functions comprise index grouping management, index management, import and export.
The index system design management is mainly used for managing index system templates, can be used for classifying, creating, modifying and deleting index systems according to different index system types, designing the index system flow chart and the attribute of each index in the index system, guiding out the currently designed index system flow chart to the local, guiding the locally designed index system into the current index system interface, providing simple merging and comparison merging functions, merging different index system flow charts, and facilitating the management of the flow charts. And setting the layout of the current design interface, and setting the layout of the selected indexes from top to bottom, from left to right and the like. The data source and calculation flow of the index can be set.
The index system design mainly realizes the management and design of the index system template, facilitates the design and management of an evaluation scheme and the design and management of evaluation tasks to quote the index system with reusability, and mainly comprises the functions of index system grouping management, index system import, export, comparison and combination.
The data acquisition and analysis processing module is used for acquiring data from the training test data, the training simulation data or the database according to the evaluation requirement and preprocessing the acquired data.
Specifically, the data management and analysis processing module mainly realizes functions of data acquisition and data preprocessing analysis. The interface read-write includes data thematic management, data import and data export functions. The data preprocessing analysis mainly comprises a common data preprocessing analysis method.
The result display design management module is used for displaying the window form of the index system and the index evaluation result, displaying data and generating a report according to the selected evaluation task.
Specifically, the evaluation result display is an extension of an evaluation result display module in the design and management of the evaluation task, so that the result of the evaluated task data can be conveniently reviewed, one or more indexes and index system evaluation results can be displayed on the same interface, and various forms are supported by display: tables, cross tables, statistical diagrams, pictures, words and the like, and the evaluation result viewing supports two viewing modes of C/S and B/S.
The user determines an evaluation target according to the evaluation requirement, designs a new evaluation scheme or selects an existing evaluation scheme in an evaluation scheme design management module according to the evaluation target, selects an existing evaluation task module in an evaluation task design management module, sets evaluation parameters in an index calculation flow design module and an index system design management module, acquires data required by evaluation through a data acquisition and analysis processing module and performs parallel preprocessing after the setting is completed, starts to execute an evaluation task, visually displays an evaluation result, and can compare different evaluation schemes and simultaneously supports the generation of customized evaluation report documents.
Taking a driver driving vehicle service training evaluation as an example, first, a service evaluation for driving a vehicle needs to explicitly evaluate a target, such as evaluating driving skill of the driver or evaluating handling performance of the vehicle. According to the evaluation targets, the evaluation scheme design management module is used for designing the evaluation schemes, different evaluation targets need to be designed for different evaluation schemes, and a plurality of evaluation schemes can be constructed as alternatives for the same evaluation target at present. The evaluation scheme is just like a template of an evaluation task, the core of the evaluation scheme is an evaluation index system, and the software provides a function similar to a visual editing index system of a visio for a user. The index system is composed of a plurality of layers of evaluation indexes, each index is calculated, the index calculation flow is needed to be designed, the software provides a visual editing function similar to a flow chart, and a user can edit a calculation flow of one index by dragging a graphic element. Wherein, each graphic element pair is a calculation method, such as fatigue resistance index of a driver, and the total driving duration and the total duration of night driving are calculated according to all driving data, and then the ratio of the total driving duration and the night driving is used as the fatigue resistance index. For the situation, an anti-fatigue capacity index is newly built in software, then a calculation flow design interface is entered, and two method graphic elements for calculating the sum and a method graphic element for calculating the ratio are added. Of course, we often encounter the situation that the computing method integrated in the software cannot meet the requirement, which is that we can develop plug-ins of the specified method, namely dll files, and then load the dll files through plug-in management, so that the dll files can be used in index flow design.
After the data is imported, a specific evaluation, i.e. an evaluation task, can be started, which can be understood as an evaluation project. According to the established evaluation scheme and evaluation index system, some settings and adjustments still need to be made, and the validity of the parameter settings at the moment is limited by the current evaluation task. And meanwhile, adapting and associating according to the data imported before and the evaluation index. For example, the input of the fatigue resistance index is all driving time data of the driver. After calculation of the single index, comprehensive evaluation is performed, that is, a general comprehensive evaluation algorithm (analytic hierarchy process, fuzzy evaluation method, etc.) is adopted to perform overall comprehensive evaluation, which is similar to obtaining a final score. After the assessment is completed, the software can visually display the assessment results, different assessment schemes can be compared, and meanwhile, customized assessment report documents can be generated.
Taking equipment operation training evaluation as an example, for example, an operator needs to develop operation training of a certain communication device in a certain unit, and each operator is required to complete activities of five steps of device initialization, data receiving, data checking, response reply and data storage, and each activity requires the operator to complete a plurality of operation steps on a control terminal of the communication device. In order to complete data acquisition of operation training evaluation, the system and the communication equipment are required to be interconnected before training starts, and a data communication interface and a data acquisition protocol are configured, so that training data such as operation time, operation log, control sequence and the like can be acquired directly through communication. Of course, if there is a situation that the data cannot be directly interconnected, the system supports importing and evaluating the trained data in the form of an offline file.
For different evaluation targets, the corresponding evaluation scheme design can be developed through the evaluation scheme design module, such as creating an evaluation scheme A for evaluating the reaction capacity of each person. In the evaluation scheme a, an index system for evaluating the reaction capability needs to be constructed by an index system design management module, for example, the reaction capability passes through three sub-indexes: the operation shortest time, the operation correct rate and the operation average time are polymerized. And setting the calculation flow and the calculation method of the three indexes through an index calculation flow design module, for example, acquiring the minimum value after the time spent by an operator for completing all steps when the operation is shortest. When this is done, a simple evaluation scheme is created. After all personnel complete the operation of the communication equipment, training process data are generated, and evaluation can be carried out. The evaluation personnel can establish an evaluation task, select an evaluation scheme A, acquire data by the query system and carry out adaptation association with the evaluation index, and finish calculation of a single index. After calculation of the single index, comprehensive evaluation is performed, that is, a general comprehensive evaluation algorithm (analytic hierarchy process, fuzzy evaluation method, etc.) is adopted to perform overall comprehensive evaluation, similar to obtaining a final score to reflect the reaction capability of the operator, until the evaluation is finished. After the assessment is completed, the software can carry out visual display on the assessment results and support the generation of customized assessment report documents. The above example is the evaluation of single training, if multiple training evaluation is required for different batches of personnel, under the condition that the evaluation target is unchanged, the same evaluation scheme A can be directly selected and the corresponding data is adapted to complete the evaluation, multiple multiplexing is supported, and the operation is simple and convenient. Meanwhile, the training evaluation of different evaluation targets can be completed by adjusting and expanding according to the current evaluation scheme A.
In the general training evaluation system, the system comprises an evaluation scheme design management module, an evaluation task design management module, an index calculation flow design module, an index system design management module, a data acquisition and analysis processing module and a result display design management module. The user determines an evaluation target according to the evaluation requirement, designs a new evaluation scheme or selects an existing evaluation scheme in an evaluation scheme design management module according to the evaluation target, selects an existing evaluation task module in an evaluation task design management module, sets evaluation parameters in an index calculation flow design module and an index system design management module, acquires data required by evaluation through a data acquisition and analysis processing module and performs parallel preprocessing after the setting is completed, starts to execute an evaluation task, visually displays an evaluation result, and can compare different evaluation schemes and simultaneously supports the generation of customized evaluation report documents. By adopting the system, various training services such as various equipment operations, vehicle driving, command control and the like can be evaluated, and repeated operations of a user on evaluation tasks are reduced.
In one embodiment, the evaluation scheme design management module comprises: the evaluation scheme management sub-module is used for carrying out new, editing and deleting management on the evaluation scheme; a data structure sub-module is constructed and used for carrying out data structure classification management and data structure management; the index system design submodule is used for carrying out management and efficiency algorithm configuration of an index system; the index calculation flow design submodule is used for designing, creating, editing and deleting the index calculation flow; and the evaluation display design sub-module is used for performing design, new construction, editing and deletion of evaluation display.
Specifically, the main process of the evaluation scheme management is that a user respectively builds an evaluation index system, a data structure and an evaluation calculation process according to requirements, after the above parts are built, the display mode of an evaluation result and the output content of a report are designed, and finally the evaluation result is saved as an evaluation scheme, and when an evaluation task is built, the evaluation task can be quickly built according to the built evaluation scheme.
(1) A new evaluation scheme is established, and the evaluation scheme mainly comprises information such as the name, creator, creation time, associated index system and index, remarks and the like of the scheme. The general assessment task comprises an index system; modifying the evaluation scheme related information; the evaluation scheme is deleted.
(2) Constructing a data source structure refers to creating and managing data table classifications and data table structures based on the evaluation data requirements.
1) And (3) managing functions such as new creation, editing, deletion, inquiry and the like of data sources and table classification.
2) And management functions such as new building, editing, deleting, inquiring and the like of the table structure.
(3) The index system design mainly comprises three parts of index system classification management and index system management efficiency algorithm configuration.
1) And managing new creation, editing, deletion, refreshing and the like of the index system classification.
2) And managing new creation, editing, deletion, refreshing and the like of the index system.
3) Setting evaluation grade, type and other information of index system index.
4) And setting a weight weighting algorithm of the index system.
5) Setting an efficiency calculation algorithm of an index system.
6) The calculation mode of the index system index is set, and the method mainly comprises the steps of manual input and associated index calculation.
(4) Index calculation flow design
The index calculation flow design mainly creates an evaluation index according to a single evaluation index calculation model, and comprises calculation flow classification management and calculation flow management.
1) And managing new creation, editing, deletion, refreshing and the like of the index calculation flow classification.
2) And carrying out management such as new creation, editing, deletion and the like on the index calculation flow according to the evaluation index calculation model.
3) And constructing an index calculation flow in a visual drag operator mode.
4) Common data base processing model operators are integrated.
(5) Evaluation result presentation design
The evaluation result display design is mainly designed according to the display mode of the evaluation result.
1) And managing new creation, editing, deletion, refreshing and the like of the evaluation result display classification.
2) A new display designer is built, and related information such as typesetting positions, style styles, display elements and the like of final presentation data can be supported by the designer, and display views are currently considered to be designed for users in a self-grinding mode.
3) The newly built presentation needs to enter a presentation name, which is named with final comprehensive efficacy, or can be named according to a single index.
4) Common presentation modes include tables, bar graphs, line graphs, radar graphs, pie charts, and the like.
In one embodiment, the assessment task design management module comprises: the evaluation task management sub-module is used for carrying out new creation, editing and deletion management on the evaluation task; the data structure sub-module is used for carrying out data structure classification management and data structure management and binding a data source for the evaluation task; the index system design submodule is used for carrying out management and efficiency algorithm configuration of an index system; the index calculation flow design submodule is used for designing, creating, editing and deleting the index calculation flow; the factor analysis design submodule is used for performing sensitivity analysis, correlation analysis and independence analysis; the evaluation display design sub-module is used for performing design, new construction, editing and deletion of evaluation display; the evaluation report design submodule is used for designing, creating, editing and deleting the evaluation report; the evaluation operator module is used for performing training evaluation calculation of the evaluation task; and the evaluation result submodule performs display, export and report generation of the evaluation result.
Specifically, the evaluation task provides a design index system, an index, factor analysis, an evaluation report and a result display function, and is similar to an evaluation scheme. The save design invocation service saves the relevant configuration of the current assessment task to the database. Because the data source design and imported data provided by the data acquisition and preprocessing module aim at different evaluation tasks, the data can be used by different tasks, and when the evaluation is specifically required, the evaluation data source of the current task needs to be designed, and then evaluation calculation is carried out.
The evaluation calculation calling service performs evaluation calculation on an index system and indexes in the current task, the indexes are calculated in the calculation process, and then the index system is calculated, and as related efficacy algorithms in the index system are different, different algorithm dynamic libraries are called for calculation, and when the indexes are related to the existing indexes, the related index evaluation results are required to be used as the values of the current indexes, and evaluation calculation is performed according to a specific algorithm. The interface can output a specific evaluation log, and the error information is displayed in red fonts, so that the user can conveniently check.
The assessment task can check the assessment results, and specific index systems and index result display are carried out according to the configured assessment result display. The assessment report is displayed according to a designed format.
The specific functions of the components of the assessment task design and management module are as follows:
(1) The evaluation task management submodule comprises three subfunctions, namely, a new evaluation task, a modification evaluation task and a deletion evaluation task; the new evaluation task is to build a new evaluation task, and the evaluation task mainly comprises the information of the name, creator, creation time, associated index system and index, remarks and the like of the task. The general assessment task includes an index system. Modifying an evaluation task refers to modifying evaluation task related information. Deleting the evaluation task refers to deleting the relevant information of the evaluation task;
(2) The data structure constructing submodule comprises two subfunctions, which are respectively used for data source management and selecting and evaluating data sources; wherein, data source management refers to constructing or modifying an evaluation data source. Selecting an evaluation data source refers to selecting an evaluation data source related to an evaluation task;
(3) The index system design submodule comprises three subfunctions, namely selecting/creating an index system, setting a weighting algorithm and setting a performance algorithm; wherein, selecting/creating an index system refers to supporting to select the existing index system; and supporting a new index system. The weighting algorithm can be set to calculate the weight by selecting the algorithm under the condition of the specified quantity calculation, or the weight configuration of the index can be completed directly through manual input. Two common situations can occur when setting a weight calculation algorithm, the first is to select an index system algorithm to calculate the weight of the whole index system, and the second is to assign weight to one index system by adopting a plurality of evaluation algorithms. The set performance algorithm is a performance calculation algorithm of a set index system;
(4) The index calculation flow design submodule comprises two subfunctions, namely a selection index operator model and a design index calculation flow; the index operator model selection means that the index operator model can be directly used for association with indexes required to be calculated by a user in an evaluation task, and the operator model and the index name can be recorded into the evaluation task after the selection is completed. The design index calculation flow is to design and evaluate the index calculation flow according to the actual index calculation model;
(5) The factor analysis design sub-module comprises three sub-functions, namely sensitivity analysis, correlation analysis and independence analysis; the sensitivity analysis refers to sensitivity analysis of experimental results of orthogonal experimental design; in the sensitivity analysis process, two methods of extremely poor and variance are supported; supporting selection of index values participating in the analysis in the sensitivity analysis process; and supporting the description of the sensitivity analysis result by using natural language. The correlation analysis is used for supporting the analysis of the correlation among all child indexes under a certain father index in the evaluation task; the correlation analysis mainly uses covariance among indexes and correlation coefficients as reference variables. The independence analysis refers to the analysis of the independence among all child indexes under a certain father index in an evaluation task; the independence analysis mainly takes factor analysis as a main analysis method, and internal relations among all indexes are calculated;
(6) The evaluation display design submodule comprises three subfunctions, namely full life cycle training evaluation analysis display, evaluation result display management and design display view; wherein, the full life cycle training evaluation analysis and display means that the evaluation results of all evaluation tasks in the training evaluation engineering are compared; and (3) analyzing the change trend of the index value by adopting various data fitting models (linear, exponential, logarithmic, polynomial and power). The evaluation result display management means newly creating a display designer, and the designer can support the self-defining of relevant information such as typesetting position, style, display elements and the like of final presentation data, and the display view is currently considered to provide design for a user in a self-grinding mode; newly created displays need to enter display names, wherein the names are named by final comprehensive efficacy, and can also be named according to single indexes; the display data source mainly comprises an index calculation flow result and an index system training evaluation result. The design display view refers to typesetting layout, display elements and the like of a design data structure, design rules are stored in an XML format, and the display view can be generated according to the rules in a display design module;
(7) The evaluation report design submodule comprises two subfunctions, which are respectively used for report template management and report template design; the report template management refers to management such as new construction, modification, deletion and the like of the evaluation report template. Designing a report template refers to designing the template according to the structure of the evaluation result, wherein the template design configures and designs the cover, the directory structure and the data structure related to each chapter of the word through interface configuration so as to finish the design of the report template, and when configuring the data structure for the chapter, the user can also self-define information such as characters and the like;
(8) The evaluation calculation submodule comprises two subfunctions, namely calculation configuration and evaluation calculation; the calculation configuration refers to the information such as the calculation parameters, the calculation items and the like of the expected information related to the configuration evaluation task; configuring a calculation mode (quick calculation/conventional calculation) of the evaluation calculation;
the evaluation calculation refers to calculation items selected by starting calculation and evaluation tasks, and comprises an index system and an index calculation flow; displaying evaluation calculation process information in real time;
(9) The evaluation result submodule comprises three subfunctions, namely, checking the evaluation result, generating an evaluation report and exporting the evaluation result; the evaluation result checking means that the designed evaluation result display is visually displayed, and the evaluation result is mainly displayed by adopting four graphs, namely a histogram, a line graph, a radar graph and a pie graph. The evaluation report generation means that the evaluation report is generated according to the designed evaluation report template, and the report format mainly comprises word and pdf formats. The evaluation result export means that the evaluation result data supports txt, xml, excel, word format output; and data is visually exported to generate bmp, png, jpg and other common image format files.
In one embodiment, the index calculation flow design module includes: and the index calculation flow classification management sub-module is used for carrying out new, editing and deleting management on the index calculation flow classification. The specific functions of the index calculation flow design module comprise: 1) The new index flow classification needs to configure related information such as the name of the classification, the superior classification, the serial number, the creator, the creation time, the remarks and the like. 2) Editing the classification related information. 3) Deleting a class removes the class, and if the index flow class under the class needs to be maintained at the time of deleting, the class is moved to a default class.
And the index calculation flow management sub-module is used for designing, creating, editing, deleting, importing and exporting the index calculation flow. The index flow management is mainly responsible for creating, designing, modifying, importing, exporting and deleting index calculation flows. The specific functions of the index calculation flow management sub-module include: 1) The new index flow needs to input operator serial numbers, belonging classifications, names, creation time, version numbers, designers, design units, remarks and other information corresponding to the operator models. 2) The design index flow needs to design the index flow in a graphical mode by using a basic operator provided by index flow design, wherein a design graph needs to be simple and easy to operate and convenient to configure, and an operator model easy to migrate and release can be derived. The component supports various graphical design modes and can support cross-platform. The designed operator model is stored in the database in XML format. 3) The deletion index flow deletes the operator model, and it should be noted that the operator model may be used in different evaluation tasks, and the task using the operator model after deletion needs to be adjusted. 4) Deriving the operator model may derive the designed operator model into an XML format. 5) The analysis and viewing of the index flow supports the use of data in the design process to perform preliminary analysis and calculation on the designed index flow, and the analysis result can be viewed.
And the basic operator management sub-module is used for managing algorithm operators in the index calculation flow design. Specific functions of the basic operator management sub-module include: 1) Viewing the base operator the viewing system can provide the available base operators, the base operators are stored in a classified manner, and the part supports three main classes: control class operators, data conversion class operators, data class operators. 2) The new basic operator plug-in is to generate an operator frame code, and the name space, the program set name, the plug-in class name, the development unit and the generation catalog of the operator can be modified during generation. The generated operator plug-ins can be edited via Visual Studio. 3) The operator basic plug-in can be registered in the index calculation flow design module after the design is completed, and the plug-in is transmitted to the evaluation service for classifying and storing when the design is registered, and the newly built basic operator can be used after the storage. 4) Deleting the basic operator plug-in, deleting the operator plug-in the local and evaluation service after deleting the basic operator plug-in, and redesigning the index operator model designed based on the operator.
The index flow management is mainly responsible for creating, designing, modifying, importing, exporting and deleting index calculation flows. 1) The new index flow needs to input operator serial numbers, belonging classifications, names, creation time, version numbers, designers, design units, remarks and other information corresponding to the operator models. 2) The design index flow needs to design the index flow in a graphical mode by using a basic operator provided by index flow design, wherein a design graph needs to be simple and easy to operate and convenient to configure, and an operator model easy to migrate and release can be derived. The component supports various graphical design modes and can support cross-platform. The designed operator model is stored in the database in XML format. 3) The deletion index flow deletes the operator model, and it should be noted that the operator model may be used in different evaluation tasks, and the task using the operator model after deletion needs to be adjusted. 4) Deriving the operator model may derive the designed operator model into an XML format. 5) The analysis and viewing of the index flow supports the use of data in the design process to perform preliminary analysis and calculation on the designed index flow, and the analysis result can be viewed.
In one embodiment, the index hierarchy design management module includes: and the index system classification management sub-module is used for carrying out new, editing and deleting management on index system classification. The specific functions of the index system design management module comprise: 1) The new index system classification needs to be configured with related information such as the name of the classification, the superior classification, the serial number, the creator, the creation time, the remarks and the like. 2) Editing the classification related information. 3) Deleting a class removes the class, and if the design of the index system under the class needs to be maintained during deletion, the index system is moved to a default class.
And the index system management sub-module is used for designing, creating, editing, deleting, importing and exporting the index system. The specific functions of the index system management submodule include: 1) The new index system needs to input related information such as corresponding serial numbers, belonging classifications, names, creation time, designers, design units, remarks and the like of the index system. 2) The index system is designed by adding indexes in the mode of a design drawing and a tree, so that an index system tree is constructed. The design diagram adopts a visual design component, and supports the design of the index system in an XML format, so that the migration and release of the index system are facilitated, and the design result of the index system is stored in a database. 3) The information of names, belonging classifications, etc. in the index system can be modified. 4) Deleting an existing index system, and it should be noted that the index may be used in different evaluation tasks, and the task using the index system after deletion needs to be adjusted. 5) The pointer hierarchy may be exported or imported locally in XML format. 6) The index system of the current design and other index system templates can be compared and combined. 7) The index system query mainly listens to semantic analysis and conversion, and the fuzzy uncertain evaluation requirement is converted into rules to query the index system.
The index system evaluation algorithm management sub-module is used for managing an index system evaluation algorithm library and comprises a weight algorithm and a training evaluation algorithm. The specific functions of the index system assessment algorithm management sub-module include: 1) The training evaluation algorithm mainly comprises an index system weighting algorithm and a training evaluation algorithm. The evaluation algorithm is mainly used for quantifying the efficiency of the computing system, and common weighting algorithms such as a analytic hierarchy process, a cyclic ratio coefficient method, an expert scoring method, an entropy weighting method, a dispersion maximization method and the like, and common training evaluation algorithms such as a analytic hierarchy process, a fuzzy evaluation method, an expert evaluation method, an ADC method and the like. 2) The newly built evaluation algorithm plug-in is used for generating an algorithm framework code, and the name space, the program set name, the plug-in class name, the development unit and the generation catalog of the algorithm can be modified during generation. 3) The developed algorithm plug-in is registered in the system and is stored by the evaluation service, and the developed algorithm plug-in can be used in the evaluation main system after the storage is successful. 4) And deleting the evaluation algorithm plug-in, deleting the algorithm plug-in the local and evaluation service after deleting the evaluation algorithm plug-in, and adjusting the evaluation task based on the algorithm.
In one embodiment, the data acquisition and analysis processing module comprises: the data acquisition sub-module is used for extracting partial data from the training test data, the training simulation data or the database according to the evaluation requirement and managing the data templates of different typical training evaluation tasks; and is also used for completing the import and export of data. The data structure classification management is mainly used for creating the classification of the corresponding data structure according to the actual requirement before the simulation data is imported. 1) The new structure classification needs to be configured with related information such as the name, the superior classification, the serial number, the creator, the creation time, the remarks and the like of the classification; 2) Editing the classification related information; 3) Deleting a class removes the class, and the data structure under the class automatically moves to the default class when the class is deleted. The data structure management is mainly used for creating a corresponding data structure according to actual requirements before the simulation data is imported, and the data structure is used for storing data according to a defined structure when the data is imported. Specific functions of data structure management include: 1) The new structure needs to be configured with related information such as the name of the classification, the superior classification, the serial number, the creator, the creation time, the remarks and the like; 2) Editing data structure column information; 3) The data structure is deleted.
The data analysis processing is used for preprocessing the acquired data, and the preprocessing operation comprises the following steps: data sampling, zero-averaging, stabilization treatment, data denoising, outlier rejection, power spectrum calculation, feature extraction and data analysis and calculation. The specific function of the data analysis processing is to carry out calculation analysis on the existing data through a data calculation analysis algorithm, and the data can be exported to a file. Specific functions of the data analysis processing include: 1) And supporting the custom query condition to query the imported data. 2) And supporting creation of an input adding interface according to the table structure, and storing input data. 3) Support is provided for editing and storing the data in the table. 4) And carrying out analysis and calculation on the data by supporting a factor extraction algorithm, a fitting algorithm, an analysis algorithm, an estimation algorithm and a checking algorithm. 5) Support filtering and grouping viewing of data. 6) Export data, supporting txt, excel, csv format.
In one embodiment, the number of data files supported by the data acquisition sub-module for data import includes: text data, XML data, CSV data, excel data, sqlServer data, oracle data, mySQL data, and dream data.
The data export includes: export to files and save to database, export to files support txt, excel and csv formats.
In one embodiment, the result presentation design management module comprises: selecting an evaluation task sub-module for opening an existing evaluation task; the training evaluation analysis display module is used for comparing evaluation results of all evaluation tasks in training evaluation and analyzing the change trend of the index value; the evaluation result deriving sub-module is used for deriving an evaluation result; and the evaluation report generation sub-module is used for generating an evaluation report according to the evaluation report template.
In one embodiment, the system further comprises a plug-in configuration module, which is used for integrating a data import plug-in, a preprocessing algorithm plug-in, a weight algorithm plug-in, a performance algorithm plug-in, an index calculation flow plug-in and an evaluation display plug-in, so that secondary development of a user and use management of the algorithm plug-in are facilitated.
Specifically, the plug-in configuration is mainly used for analyzing and evaluating secondary development expansion of related algorithms or calculation models, and comprises functions of plug-in code generation, plug-in classification management, plug-in management and the like.
In one embodiment, the plug-in configuration module includes: the generating plug-in code sub-module is used for generating a corresponding algorithm code frame according to the algorithm classification; the plug-in classification management sub-module is used for responsible for creating, editing and deleting each classification of the plug-in; and the plug-in management sub-module is used for carrying out new creation, registration and deletion of the algorithm plug-in.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A generic training evaluation system, the system comprising:
the evaluation scheme design management module is used for determining an evaluation target according to the evaluation requirement, designing different evaluation schemes according to the evaluation target, managing the evaluation schemes and providing a reusable evaluation task template for the evaluation task design and management module;
the assessment task design management module is used for applying a flow design chart and an index system design in the existing assessment scheme, an index design and presentation design information to the assessment task of the current period;
The index calculation flow design module is used for designing and managing an index calculation flow template;
the index system design management module is used for index system grouping management, index system import, export, comparison and combination; the design and management of the evaluation scheme and the design and management of the evaluation task are convenient, and the index system with reusability is quoted;
the data acquisition and analysis processing module is used for acquiring data from the training test data, the training simulation data or the database according to the evaluation requirement and preprocessing the acquired data;
the result display design management module is used for displaying the window form of the index system and the index evaluation result, displaying data and generating a report according to the selected evaluation task;
the user determines an evaluation target according to the evaluation requirement, designs a new evaluation scheme or selects an existing evaluation scheme in an evaluation scheme design management module according to the evaluation target, selects an existing evaluation task module in an evaluation task design management module, sets evaluation parameters in an index calculation flow design module and an index system design management module, acquires data required by evaluation through a data acquisition and analysis processing module and performs parallel preprocessing after the setting is completed, starts to execute an evaluation task, visually displays an evaluation result, and can compare different evaluation schemes and simultaneously supports the generation of customized evaluation report documents.
2. The system of claim 1, wherein the evaluation scheme design management module comprises:
the evaluation scheme management sub-module is used for carrying out new, editing and deleting management on the evaluation scheme;
a data structure sub-module is constructed and used for carrying out data structure classification management and data structure management;
the index system design submodule is used for carrying out management and efficiency algorithm configuration of an index system;
the index calculation flow design submodule is used for designing, creating, editing and deleting the index calculation flow;
and the evaluation display design sub-module is used for performing design, new construction, editing and deletion of evaluation display.
3. The system of claim 1, wherein the assessment task design management module comprises:
the evaluation task management sub-module is used for carrying out new creation, editing and deletion management on the evaluation task;
the data structure sub-module is used for carrying out data structure classification management and data structure management and binding a data source for the evaluation task;
the index system design submodule is used for carrying out management and efficiency algorithm configuration of an index system;
the index calculation flow design submodule is used for designing, creating, editing and deleting the index calculation flow;
The factor analysis design submodule is used for performing sensitivity analysis, correlation analysis and independence analysis;
the evaluation display design sub-module is used for performing design, new construction, editing and deletion of evaluation display;
the evaluation report design submodule is used for designing, creating, editing and deleting the evaluation report;
the evaluation operator module is used for performing training evaluation calculation of the evaluation task;
and the evaluation result submodule performs display, export and report generation of the evaluation result.
4. The system of claim 1, wherein the metric calculation flow design module comprises:
the index calculation flow classification management sub-module is used for carrying out new, editing and deleting management on the index calculation flow classification;
the index calculation flow management sub-module is used for designing, creating, editing, deleting, importing and exporting an index calculation flow;
and the basic operator management sub-module is used for managing algorithm operators in the index calculation flow design.
5. The system of claim 1, wherein the metrics system design management module comprises:
the index system classification management sub-module is used for carrying out new, editing and deleting management on index system classification;
The index system management submodule is used for designing, creating, editing, deleting, importing and exporting an index system;
the index system evaluation algorithm management sub-module is used for managing an index system evaluation algorithm library and comprises a weight algorithm and a training evaluation algorithm.
6. The system of claim 1, wherein the data acquisition and analysis processing module comprises:
the data acquisition sub-module is used for extracting partial data from the training test data, the training simulation data or the database according to the evaluation requirement and managing the data templates of different typical training evaluation tasks; the method is also used for completing the importing and exporting of the data;
the data analysis processing is used for preprocessing the acquired data, and the preprocessing operation comprises the following steps: data sampling, zero-averaging, stabilization treatment, data denoising, outlier rejection, power spectrum calculation, feature extraction and data analysis and calculation.
7. The system of claim 6, wherein the number of data files supported by the data acquisition sub-module for data import comprises: text data, XML data, CSV data, excel data, sqlServer data, oracle data, mySQL data, and dream data;
The data export includes: export to files and save to database, export to files support txt, excel and csv formats.
8. The system of claim 1, wherein the results presentation design management module comprises:
selecting an evaluation task sub-module for opening an existing evaluation task;
the training evaluation analysis display module is used for comparing evaluation results of all evaluation tasks in training evaluation and analyzing the change trend of the index value;
the evaluation result deriving sub-module is used for deriving an evaluation result;
and the evaluation report generation sub-module is used for generating an evaluation report according to the evaluation report template.
9. The system of claim 1, further comprising a plug-in configuration module for integrating a data import plug-in, a preprocessing algorithm plug-in, a weighting algorithm plug-in, a performance algorithm plug-in, an index calculation flow plug-in, an evaluation display plug-in, facilitating secondary development by a user and use management of the algorithm plug-in.
10. The system of claim 9, wherein the plug-in configuration module comprises:
the generating plug-in code sub-module is used for generating a corresponding algorithm code frame according to the algorithm classification;
The plug-in classification management sub-module is used for responsible for creating, editing and deleting each classification of the plug-in;
and the plug-in management sub-module is used for carrying out new creation, registration and deletion of the algorithm plug-in.
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