CN112115694B - Simulation report generation method and device based on multi-element data structure - Google Patents

Simulation report generation method and device based on multi-element data structure Download PDF

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CN112115694B
CN112115694B CN202010847275.4A CN202010847275A CN112115694B CN 112115694 B CN112115694 B CN 112115694B CN 202010847275 A CN202010847275 A CN 202010847275A CN 112115694 B CN112115694 B CN 112115694B
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simulation
report
task
information
data
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CN112115694A (en
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赵斌
方敏
赵峰
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Jiangsu XCMG Construction Machinery Institute Co Ltd
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    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/186Templates
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Abstract

The invention provides a simulation report generation method of a multi-element data structure, which comprises the following steps: based on the collaborative simulation platform, performing simulation calculation on the created simulation task to obtain simulation data; constructing a multi-group data structure network according to the simulation data; acquiring a parameterized simulation report template in a corresponding format according to the simulation task type; and filling the parameterized simulation report template according to the corresponding relation between the multi-element data in the multi-element data structure network and the labels in the parameterized simulation report template, and generating a simulation report. The invention is based on actual business scenes and actual working flows, has strong practicability, the working flows drive the generation of the multi-element array network, the report content is automatically filled based on the multi-element array network, the report compiling efficiency can be effectively improved, the report error rate can be reduced, the report accuracy can be improved, and the enterprise simulation service digitization level can be effectively improved.

Description

Simulation report generation method and device based on multi-element data structure
Technical Field
The invention belongs to the technical field of digital research and development of engineering machinery, and particularly relates to an automatic simulation report generation method based on a multi-element data structure.
Background
At present, the editing of documents by using Microsoft Microsoft Office word is a common office requirement, and word can support the editing and displaying of contents such as texts, pictures, tables and the like, support the embedding and expanding functions of objects, and is very powerful document processing software. In enterprise business operation, repeated document report compiling work is frequently generated, and the work has the characteristics of complexity, repetition, easy error, easy reworking and the like, consumes labor cost and affects working efficiency. The collaborative simulation platform of the enterprise is a process of developing a series of simulation flows based on a simulation object to form a series of simulation data and outputting simulation result data. Various simulation data are scattered on each flow node, and the final simulation report is complex to form.
At present, regarding the automatic generation technology of report documents, corresponding researches are carried out in the industry, and the following technical paths are common: firstly, on the basis of word, secondary development is carried out, and a document is automatically generated by using VBA or OLE; secondly, an_IDTExtensimbity 2 dispatch interface is realized by using a COM AddIn technology, a template customization tool is manufactured, a template database is constructed, and automatic report generation is realized; and thirdly, an XML technology is adopted to structurally design a document template, document contents are divided into a plurality of different types, and then a corresponding control interface is adopted to realize document establishment, so that the document establishment difficulty is reduced. The above modes, combined with specific industrial cases, solve the practical problems and have certain significance.
However, the secondary development is performed on the basis of word to realize automatic generation of the document, a large amount of development workload is required, and the problem of complex business and various report formats cannot be perfectly solved, so that the universality is not strong. While the report document template is designed to realize the automatic report generation, the report document template can solve the problem of report in various formats, a great deal of design and development work is required to be carried out on the template, and the practicability is not particularly good. The two methods have a problem that report data can not be scattered on each business system and each flow node, are not fully combined with business flows, and can not effectively solve the problem of report automatic generation in a collaborative working environment.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a simulation report generation method based on a multi-element data structure, which can effectively improve the report compiling efficiency, reduce the report error rate and improve the report accuracy.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a method for generating a simulation report based on a multi-element data structure, comprising the steps of: based on the collaborative simulation platform, performing simulation calculation on the created simulation task to obtain simulation data; constructing a multi-group data structure network according to the simulation data; acquiring a parameterized simulation report template in a corresponding format according to the simulation task type; and filling the parameterized simulation report template according to the corresponding relation between the multi-element data in the multi-element data structure network and the labels in the parameterized simulation report template, and generating a simulation report.
Further, the method for performing simulation calculation on the created simulation task based on the collaborative simulation platform comprises the following steps: decomposing the simulation task into a plurality of unidirectional simulation projects to form project information, wherein the project information comprises a simulation project name and a simulation project number; obtaining a corresponding simulation model from the simulation project to form model information, wherein the model information comprises a truncated model lightweight picture and key parameters of the model; performing simulation calculation aiming at the simulation project and the simulation model to form calculation information, wherein the calculation information comprises calculation nucleus number and calculation time; delivering a simulation result corresponding to the simulation project to form result data information, wherein the result data information comprises a simulation result description text, a simulation result description picture and a simulation result description table; and preliminarily generating a simulation report to form report basic information, wherein the report basic information comprises a report number, a creator and creation time.
Further, the construction method of the multi-group data structure network comprises the following steps: constructing the node data parameter information into six-tuple data network (Task, item, model, computer, result, report) corresponding to the simulation Task, wherein the unique identification number of the six-tuple data network is the Task number corresponding to the simulation Task; establishing a corresponding relation between parameter information of each node in the process and a six-tuple data network, wherein:
the Task is used for storing Task information;
the Item is used for storing Item information;
the Model is used for storing Model information;
computer is used for storing calculation information;
result is used for storing Result data information;
report is used to store Report basic information.
Further, the construction method of the parameterized simulation report template comprises the following steps: dividing report contents into static unchanged contents and variable contents, wherein the static unchanged contents are fixed areas, editing is not needed, and the variable contents are changed along with different simulation tasks; and solidifying the variable content into a series of data labels to form a parameterized simulated report template file, wherein the data labels comprise simulated business labels and simulated analysis labels.
Further, the simulation service data label comprises a task name label, a task number label, a project name label, a model picture label, a model parameter label, a calculation core number label, a calculation time label, a report number label, a report creator label and a report creation time label; the emulation analysis data tag comprises: text labels, picture labels, and form labels.
Further, the method for filling the parameterized template comprises the following steps: the corresponding six-tuple data network of the task is called according to the task number, the corresponding report template number is obtained according to the six-tuple data network crawler, and the parameterized simulation report template is obtained according to the report template number; removing the original content of the label in the parameterized simulation report template; the method comprises the steps that a crawler acquires all simulation data in a six-tuple data network; and filling all label contents in the parameterized simulation report template by calling a search replacement function according to the corresponding relation between the simulation data and the labels.
Further, the method for filling the tag content comprises the following steps: reference is made to the thread. Doc component, which populates text labels, form labels and picture labels, respectively.
Further, the filling method of the label comprises the following steps: acquiring attribute information contained in Task, item, model, compute, report by a crawler in a six-tuple data network, and filling the attribute information into text labels in a parameterized simulation report template; the crawler acquires the descriptive text content of all simulation results in the six-tuple data network and fills the descriptive text content into text labels in the parameterized simulation report template; the crawler acquires the contents of all simulation result description tables in the six-tuple data network, and fills the contents into table labels in the parameterized simulation report template; and (3) the crawler acquires the content of the descriptive picture of all simulation results in the six-tuple data network, and fills the content into the picture label in the parameterized simulation report template.
In a second aspect, the present invention provides a simulation report generating apparatus of a multi-element data structure, the apparatus comprising:
and (3) a simulation data module: the simulation system is used for carrying out simulation calculation on the created simulation task based on the collaborative simulation platform to obtain simulation data;
a data structure network module: the method comprises the steps of constructing a multi-group data structure network according to simulation data;
and a report template module: the parameterized simulation report template is used for acquiring a corresponding format according to the simulation task type;
and (3) a template filling module: and the method is used for filling the parameterized simulation report template according to the corresponding relation between the multi-element data in the multi-element data structure network and the report label in the parameterized simulation report template to generate a simulation report.
In a third aspect, the present invention provides a simulation report generating device based on a multi-element data structure, including a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method described above.
Compared with the prior art, the invention has the beneficial effects that:
(1) Based on the collaborative work flow, a series of related simulation business data information and simulation result data information are obtained, a multi-element array network is constructed, the data information is integrated, the data source is unique, the manual intervention is less, the uniqueness and the accuracy of the data are ensured, the error rate of the report content is reduced, and the report accuracy is improved.
(2) By constructing a parameterized report template, referring to a multi-element array network, a crawler acquires each data object and automatically fills the data object into the report document content through a function, so that the report compiling efficiency is improved, and the digitizing level of enterprise simulation business is improved.
(3) The invention is based on the collaborative simulation platform of enterprises, and obtains various simulation data according to the collaborative circulation of the simulation workflow by determining the unique identification number; introducing a multi-group concept, and collecting various data to construct a multi-group data structure network; according to the crawler in the unique identification number network, the number of the report template and various numerical values are obtained, the report contents are automatically filled one by calling a search replacement function, and finally the automatic generation of the simulation report is realized. The invention is based on the actual workflow, has strong practicability, can effectively improve the compiling efficiency of the report, reduce the reporting error rate, improve the reporting accuracy and effectively improve the digitization level of the enterprise simulation business.
Drawings
FIG. 1 is a schematic diagram of simulation report generation based on a multi-element data structure according to the present invention
FIG. 2 is a schematic diagram of a collaborative workflow based on a collaborative simulation platform provided by the present invention;
FIG. 3 is a schematic diagram of constructing a multi-element data structure network (simply referred to as multi-element data network) according to the present invention;
FIG. 4 is a schematic diagram of a report template parameterized design provided by the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Embodiment one:
the embodiment provides a simulation report generation method based on a multi-element group data structure, which comprises the following steps:
as shown in fig. 1, the technical solution of this embodiment mainly includes the following parts: collaborative workflow design based on a collaborative simulation platform; a method for constructing a multi-element data structure network (multi-element data network for short); report template parameterization design; automatic filling of report content and generation of report files.
As shown in fig. 2, the present embodiment provides a simulation collaborative workflow. The core of the process is cooperation, which decomposes complex simulation work into single-direction simulation, and is jointly completed by a plurality of simulation engineers.
Step one: creating a simulation Task, wherein the Task can be derived from other business systems of an enterprise or independently created to form a key data class task= { Task name; task ID; templeteID }, where TaskName represents the task name, taskID identifies the task number, taskID serves as the primary key and unique identifier for the task data class, and TempleteID represents the report template number.
Step two: decomposing the simulation task into a plurality of simulation items, which can be expressed as Item1= { ItemName; itemID, item2= { ItemName; itemID, item3= { ItemName; itemID, itemn= { ItemName; itemID, where ItemName represents the simulation item name and ItemID represents the simulation item number.
Step three: and obtaining a simulation model, wherein each simulation project corresponds to the simulation model, and the simulation model cannot be displayed in a document report, so that a light-weight picture of the model and related model parameters are taken. Can be expressed as Model 1= { Model picture; modelData; modelID }, model2= { ModelPictures; modelData; modelID }, model3= { ModelPictures; modelData; modelID }, modeln = { ModelPictures; modelData; modelID, where ModelPictures represent truncated lightweight pictures of the model, modelData represent key parameters of the model, and ModelID represents the number of the model, if necessary.
Step four: and performing simulation calculation, namely performing simulation calculation aiming at each simulation project and each simulation model, wherein in a normal case, the calculation is performed by calling an enterprise high-calculation center, and the information required to be acquired mainly comprises the number of cores required for calculation and the calculation time. Can be expressed as compute1= { CoreNumber; computeTime }, compute2= { CoreNumber; computeTime }, compute3 = { CoreNumber; computeTime }, computen= { CoreNumber; computeTime, where CoreNumber represents the number of computing cores and ComputeTime represents the computing time.
Step five: delivering a simulation Result, wherein each simulation item corresponds to the delivery simulation Result, and the simulation Result generally comprises text description, picture description and table description and can be expressed as Result 1= { RTText; RTImage; RTTable }, result2 = { RTText; RTImage; RTTable }, result3 = { RTText; RTImage; RTTable, result= { RTText; RTImage; RTTable, wherein RTText represents simulation result description text, RTimage represents simulation result description picture, RTTable represents simulation result description table.
Step six: preliminary generation of a simulation Report, which may be represented as report= { ReportID; a Creator; createTime, reportID represents report number, creator represents Creator, createTime represents creation time.
As shown in fig. 3, the present embodiment provides a method for constructing a multi-tuple data structure network (abbreviated as multi-tuple data network). The above describes the development mode of the simulation collaborative process and the data parameter information of each node, and how to aggregate the information together to support the generation of the simulation report is a key problem, and here, the proposed method is to construct a multi-element data structure network through the unique identification "task number" of the simulation task.
The final simulation data package is represented by a multi-element group, when a simulation Task is created, a six-element group data network S < Task, item, model, computer, result, report > is created in a system database, the unique identification number of the six-element group is the Task number Task ID of the Task, and meanwhile, along with the development of a simulation process, the corresponding relation between the parameter information of each process node and the six-element group data network S is created, wherein:
the Task is used for storing Task information, and task=task;
the Item is used to store Item information. Item= { Item1; item2; item3; itemn };
the Model is used for storing Model information, and model= { Model1; model2; model3; modeln };
computer is used to store the calculation information, computer= { computer 1; computer 2; computer 3; computen };
result is used for storing Result data information, result= { Result1; result2; result3; resultn };
report is used to store Report basic information, report=report.
That is, a mesh collection of process data and result data numbered as task ID simulation tasks is implemented through a six-tuple data network S. The embodiment provides a report template parameterization design method. The report template is a precondition for the automatic generation of reports. And according to the simulation tasks of different types, making report templates in different formats. Report content is divided into static unchanged content and variable content, wherein the static unchanged content is a fixed area, editing is not needed, and the variable content is divided into text content, picture content and table content, and the variable content is changed along with different simulation tasks.
Step one: inserting simulation service data labels at fixed positions, wherein the simulation service data labels comprise a task name label [ book_TaskName ], a task number label [ book_TaskID ], an item name label [ book_ItemName 1] to [ book_ItemName ], a model picture label [ book_ModelPicture1 ] to [ book_ModelPicturen ], a model parameter label [ book_ModelData 1] to [ book_ModelData 2], a calculation core number label [ book_CoreNumber 1] to [ book_CoreNumber ], a calculation time label [ book_ComputeTime 1] to [ book_ComputeTime ], a report number label [ book_Report ID ], a report Creator label [ book_Creater ] and a report creation time label [ book_CoreTime ].
Step two: inserting simulation analysis data labels at fixed positions, including three types: text labels, picture labels, and form labels. Text labels [ book_text1 ] to [ book_textn ] are inserted, picture labels [ book_image1 ] to [ book_imagen ] are inserted, and Table labels [ book_table 1] to [ book_tablen ] are inserted.
Step three: and (3) completing the design of each report template, forming a file named by using the TempleteID, and storing the file in a system file library.
The embodiment provides an automatic filling and report file generating method of report content. The method is completed based on the six-tuple data network and the parameterized simulation report template, and the method refers to a wire.doc component. The specific method comprises the following steps:
step one: and calling the exclusive six-tuple data network S of the task according to the task number TaskID: get (S), obtain report template number s.task.template id at the metadata web crawler, obtain report template file (document of parameterized design) according to report template number, and name "task id-simulation report. Docx" according to rules.
Step two: pointing to the label position in "TaskID-simulation report, docx", quote statement navigator. MoveToBookmark (bookMarkName), where bookMarkName wraps all the labels above; the original tag content is removed, and a reference sentence navigator deltabook mark content (saveformating) is used.
Step three: acquiring all basic information data in a multi-element data network S, wherein the basic information data comprises attribute information contained in Task, item, model, compute, report and is filled into text labels in a 'TaskID-simulation report, docx', and the text labels comprise text information and picture information, wherein text information quotation statement name, insert text (text) are filled, and text contents comprise [ book_TaskName ], [ book_TaskID ], [ book_TaskName 1], [ book_ItemName ], [ book_ModelData 1] [ book_ModelData 2], [ book_CoreNumber 1] [ book_CoreNumber ], [ book_CompactTime 1], [ book_book_CompactTime ], [ book_ReportID ]; the picture information references the sentence navigator. Insert Paragagraph (para), where the para content includes [ book_ModelPicture1 ] - [ book_ModelPictureen ].
Step four: the crawler acquires all result Text contents S.result.Result1.RTText to S.Result.Result.Result. RTText in the multivariate data network S, and fills the result Text contents into Text labels in a 'TaskID-simulation report. Docx', and a reference sentence, navigator.InertText (Text), wherein the Text contents comprise [ book_Text1 ] [ book_Textn ].
Step five: and (3) obtaining all result Table contents S.result.result1.RTTable to S.result.result n. RTTable in the multivariate data network S, filling the Table contents into Table labels in a 'TaskID-simulation report.docx', and referring to a sentence navigator.InsertTable (Table), wherein the Table contents comprise [ bookmark_Tatable 1] to [ bookmark_Tablen ].
Step six: the crawler acquires all result picture contents S.result.result1.RTimage to S.result.result. N. RTimage in the multivariate data network S, and fills the result into a picture tag in a 'task ID-simulation report.docx', and a reference sentence, navigator.InertParagraph (para), wherein the para contents comprise [ bookmark_image1] to [ bookmark_image ].
Step seven: after completion of the report all parameter filling, the document file "TaskID-simulation report. Docx" is saved and stored in the designated storage location.
The report template parameterized design schematic diagram provided by the invention is shown in fig. 4.
The invention is based on the collaborative simulation platform of enterprises, and obtains various simulation data according to the collaborative circulation of the simulation workflow by determining the unique identification number; introducing a multi-element group concept, and collecting various data to construct a multi-element group data structure network (hereinafter referred to as multi-element data network); according to the crawler in the unique identification number network, the number of the report template and various numerical values are obtained, the report contents are automatically filled one by calling a search replacement function, and finally the automatic generation of the simulation report is realized. The invention is based on the actual workflow, has strong practicability, can effectively improve the compiling efficiency of the report, reduce the reporting error rate, improve the reporting accuracy and effectively improve the digitization level of the enterprise simulation business.
Embodiment two:
the present embodiment provides a simulation report generating apparatus based on a multi-element data structure, which can be used to implement the method steps described in the first embodiment, and the apparatus includes:
and (3) a simulation data module: the simulation system is used for carrying out simulation calculation on the created simulation task based on the collaborative simulation platform to obtain simulation data;
a data structure network module: the method comprises the steps of constructing a multi-group data structure network according to simulation data;
and a report template module: the parameterized simulation report template is used for acquiring a corresponding format according to the simulation task type;
and (3) a template filling module: and the method is used for filling the parameterized simulation report template according to the corresponding relation between the multi-element data in the multi-element data structure network and the report label in the parameterized simulation report template to generate a simulation report.
Embodiment III:
the embodiment provides a simulation report generating device based on a multi-element data structure, which comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method of:
based on the collaborative simulation platform, performing simulation calculation on the created simulation task to obtain simulation data;
constructing a multi-group data structure network according to the simulation data;
acquiring a parameterized simulation report template in a corresponding format according to the simulation task type;
and filling the parameterized simulation report template according to the corresponding relation between the multi-element data in the multi-element data structure network and the report label in the parameterized simulation report template, and generating a simulation report.
The embodiment is based on the actual workflow, has strong practicability, can effectively improve the compiling efficiency of the report, reduces the reporting error rate, improves the reporting accuracy, and effectively improves the digitization level of the enterprise simulation business.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is merely a preferred implementation of the present embodiment, and it should be noted that, for those skilled in the art, modifications and variations can be made without departing from the technical principles of the present embodiment, and these modifications and variations should also be regarded as the protection scope of the present embodiment.

Claims (8)

1. A simulation report generation method based on a multi-element data structure is characterized by comprising the following steps:
based on the collaborative simulation platform, performing simulation calculation on the created simulation task to obtain simulation data;
constructing a multi-group data structure network according to the simulation data;
acquiring a parameterized simulation report template in a corresponding format according to the simulation task type;
filling a parameterized simulation report template according to the corresponding relation between the multi-element data in the multi-element data structure network and the labels in the parameterized simulation report template, and generating a simulation report;
the method for carrying out simulation calculation on the created simulation task based on the collaborative simulation platform comprises the following steps:
decomposing the simulation task into a plurality of unidirectional simulation projects to form project information, wherein the project information comprises a simulation project name and a simulation project number;
obtaining a corresponding simulation model from the simulation project to form model information, wherein the model information comprises a truncated model lightweight picture and key parameters of the model;
performing simulation calculation aiming at the simulation project and the simulation model to form calculation information, wherein the calculation information comprises calculation nucleus number and calculation time;
delivering a simulation result corresponding to the simulation project to form result data information, wherein the result data information comprises a simulation result description text, a simulation result description picture and a simulation result description table;
preliminarily generating a simulation report to form report basic information, wherein the report basic information comprises a report number, a creator and creation time;
the construction method of the multi-group data structure network comprises the following steps:
constructing the node data parameter information into six-tuple data network (Task, item, model, computer, result, report) corresponding to the simulation Task, wherein the unique identification number of the six-tuple data network is the Task number corresponding to the simulation Task;
establishing a corresponding relation between parameter information of each node in the process and a six-tuple data network, wherein:
the Task is used for storing Task information;
the Item is used for storing Item information;
the Model is used for storing Model information;
computer is used for storing calculation information;
result is used for storing Result data information;
report is used to store Report basic information.
2. The method for generating a simulation report based on a multi-element data structure according to claim 1, wherein the method for constructing the parameterized simulation report template comprises the following steps:
dividing report contents into static unchanged contents and variable contents, wherein the static unchanged contents are fixed areas, editing is not needed, and the variable contents are changed along with different simulation tasks;
and solidifying the variable content into a series of data labels to form a parameterized simulated report template file, wherein the data labels comprise simulated business labels and simulated analysis labels.
3. The method for generating a simulated report based on a multi-tuple data structure according to claim 2, wherein the simulated business label comprises a task name label, a task number label, an item name label, a model picture label, a model parameter label, a calculation core number label, a calculation time label, a report number label, a report creator label, and a report creation time label;
the emulation analysis tag includes: text labels, picture labels, and form labels.
4. A method of generating a simulation report based on a multi-tuple data structure according to claim 3, wherein the method of parameterizing the population of simulation report templates comprises the steps of:
the corresponding six-tuple data network of the task is called according to the task number, the corresponding report template number is obtained according to the six-tuple data network crawler, and the parameterized simulation report template is obtained according to the report template number;
removing the original content of the label in the parameterized simulation report template;
the method comprises the steps that a crawler acquires all simulation data in a six-tuple data network;
and filling all label contents in the parameterized simulation report template by calling a search replacement function according to the corresponding relation between the simulation data and the labels.
5. The method for generating a simulated report based on a multi-element data structure as claimed in claim 4, wherein said method for populating tag content comprises: reference is made to the thread. Doc component, which populates text labels, form labels and picture labels, respectively.
6. The method for generating a simulated report based on a multi-element data structure as claimed in claim 4, wherein said method for populating said tag comprises the steps of:
acquiring attribute information contained in Task, item, model, compute, report by a crawler in a six-tuple data network, and filling the attribute information into text labels in a parameterized simulation report template;
the crawler acquires the descriptive text content of all simulation results in the six-tuple data network and fills the descriptive text content into text labels in the parameterized simulation report template;
the crawler acquires the contents of all simulation result description tables in the six-tuple data network, and fills the contents into table labels in the parameterized simulation report template;
and (3) the crawler acquires the content of the descriptive picture of all simulation results in the six-tuple data network, and fills the content into the picture label in the parameterized simulation report template.
7. A simulation report generating apparatus based on a multi-element data structure, the apparatus comprising:
and (3) a simulation data module: the simulation system is used for carrying out simulation calculation on the created simulation task based on the collaborative simulation platform to obtain simulation data;
a data structure network module: the method comprises the steps of constructing a multi-group data structure network according to simulation data;
and a report template module: the parameterized simulation report template is used for acquiring a corresponding format according to the simulation task type;
and (3) a template filling module: the method comprises the steps of filling a parameterized simulation report template according to the corresponding relation between the multi-element data in a multi-element data structure network and report labels in the parameterized simulation report template, and generating a simulation report;
the method for carrying out simulation calculation on the created simulation task based on the collaborative simulation platform comprises the following steps:
decomposing the simulation task into a plurality of unidirectional simulation projects to form project information, wherein the project information comprises a simulation project name and a simulation project number;
obtaining a corresponding simulation model from the simulation project to form model information, wherein the model information comprises a truncated model lightweight picture and key parameters of the model;
performing simulation calculation aiming at the simulation project and the simulation model to form calculation information, wherein the calculation information comprises calculation nucleus number and calculation time;
delivering a simulation result corresponding to the simulation project to form result data information, wherein the result data information comprises a simulation result description text, a simulation result description picture and a simulation result description table;
preliminarily generating a simulation report to form report basic information, wherein the report basic information comprises a report number, a creator and creation time;
the construction method of the multi-group data structure network comprises the following steps:
constructing the node data parameter information into six-tuple data network (Task, item, model, computer, result, report) corresponding to the simulation Task, wherein the unique identification number of the six-tuple data network is the Task number corresponding to the simulation Task;
establishing a corresponding relation between parameter information of each node in the process and a six-tuple data network, wherein:
the Task is used for storing Task information;
the Item is used for storing Item information;
the Model is used for storing Model information;
computer is used for storing calculation information;
result is used for storing Result data information;
report is used to store Report basic information.
8. A simulation report generating device based on a multi-element data structure, which is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1 to 6.
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