Management method of simulation technology system

Abstract

The invention discloses a simulation technology system management method, which comprises the following steps: collecting simulation technology literature information data to construct a simulation technology knowledge base, and retrieving and accessing a simulation technology through the simulation technology knowledge base; the simulation technology comprises a simulation overall technology, a simulation method and modeling technology, a simulation support technology and a simulation application technology; constructing a knowledge graph according to the simulation technology knowledge base, analyzing simulation technology literature information data in the simulation technology knowledge base through the knowledge graph, and providing visual data support and development analysis basis for the simulation technology system; and constructing a simulation technology route map according to the simulation technology knowledge base, and carding a development time sequence and a mutual support relationship between simulation technologies through the simulation technology route map. According to the method, the problems that scientific and quantitative visual data support is lacked in traditional simulation technology system management and the interconnection, intercommunication and interoperation capability of simulation resources is limited are solved.

Description

Technical Field

[0001] The present invention relates to the field of simulation system construction, and more specifically, to a simulation technology system management method. Background Art

[0002] The simulation technology system refers to a simulation technology system with specific structure and function formed by various simulation technologies in the field of military applications under the joint constraints of natural laws and social factors. The research on the simulation technology system should include the tracking and analysis of the development direction of simulation technology, the analysis of factors limiting the application of simulation technology, the reconstruction and optimization methods of the technology system, and the research on the efficient training mechanism of simulation technology.

[0003] The current simulation technology system management method lacks scientific and quantitative visual data support, which makes it difficult to provide a development analysis basis for the construction of the simulation technology system. In addition, the interconnection and interoperability of simulation resources are limited, and there is a lack of a specific information infrastructure environment in the simulation field to create basic connection conditions, making it difficult to display the associations between simulation technologies, which is not user-friendly, cumbersome to operate, and inefficient. Summary of the invention

[0004] The present invention provides a management method for a simulation technology system to solve at least one of the problems existing in the prior art.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A first aspect of the present invention provides a method for managing a simulation technology system, the method comprising:

[0007] Collecting simulation technology literature information data to build a simulation technology knowledge base, and searching and accessing literature through the simulation technology knowledge base;

[0008] The simulation technology includes overall simulation technology, simulation method and modeling technology, simulation support technology and simulation application technology;

[0009] Constructing a knowledge graph based on the simulation technology knowledge base, analyzing the simulation technology literature information data in the simulation technology knowledge base through the knowledge graph, and providing visual data support and development analysis basis for the simulation technology system;

[0010] A simulation technology roadmap is constructed based on the simulation technology knowledge base, and the development sequence and mutual support relationship between various simulation technologies are sorted out through the simulation technology roadmap.

[0011] Optionally, the collecting of literature information data to build a simulation technology knowledge base includes:

[0012] The simulation technology document information is searched in various simulation technology document information databases through simulation field keywords to obtain simulation technology document information data, and the simulation technology document information data is saved in a simulation technology knowledge base.

[0013] Optionally, the acquisition of simulation technology literature information data includes:

[0014] The simulation technology literature information data is cleaned to remove invalid data and duplicate data.

[0015] Optionally, analyzing the simulation technology literature in the simulation technology knowledge base through the knowledge graph includes:

[0016] A keyword-term co-occurrence network, a noun-term co-occurrence network, a document co-citation network and a document coupling network for document visualization are established. The simulation technology document information data in each network is analyzed according to the knowledge graph tool, and the analyzed simulation technology document information data is presented in the form of a graph. The graph is interpreted to obtain the interpreted visualization data. Based on the visualization data, the research hotspots and research frontiers of simulation technology are obtained to track the dynamic characteristics of the development of simulation technology.

[0017] Optionally, interpreting the spectrum includes

[0018] The profiles were interpreted by co-occurrence analysis, cluster analysis or emergence analysis.

[0019] Optionally, the retrieving and accessing simulation technology documents through the simulation technology knowledge base includes:

[0020] Search is performed based on the keywords of the simulation technology to obtain the simulation technology literature information data corresponding to the simulation technology, and in response to the operation on the simulation technology literature information data, the corresponding simulation technology literature is accessed.

[0021] Optionally, the method further includes performing a secondary search and a secondary reverse search in the search results.

[0022] Optionally, the simulation technology roadmap is associated with the simulation technology knowledge base, and in response to an operation on the simulation technology roadmap, corresponding simulation technology literature information data in the simulation technology knowledge base is obtained.

[0023] A second aspect of the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect of the present invention when executing the program.

[0024] A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect of the present invention.

[0025] The beneficial effects of the present invention are as follows:

[0026] The present invention constructs a simulation technology knowledge base, associates the simulation technology knowledge base with a knowledge graph and a simulation technology roadmap, so that simulation resources are interconnected, and the associated display of the simulation technology system is realized, which is convenient for querying and retrieving various types of knowledge related to simulation technology; analyzes simulation technology through knowledge graphs, obtains the development trend of simulation technology, and provides visual data support and development analysis basis for the simulation technology system; by combing the roadmap of simulation technology development, clarifies the development sequence and mutual support relationship between various simulation technologies, and provides a scientific basis for the orderly development of simulation technology. The present invention solves the problems of lack of scientific and quantitative visual data support and limited interconnection and interoperability of simulation resources in the management of traditional simulation technology systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings.

[0028] Figure 1 A flow chart showing the simulation technology system management method of the present invention;

[0029] Figure 2 A framework diagram showing the management of the simulation technology system in an embodiment of the present invention is shown;

[0030] Figure 3 A flow chart showing the analysis of simulation technology literature information data through a knowledge graph in an embodiment of the present invention;

[0031] Figure 4 A schematic diagram showing a keyword co-occurrence graph in an embodiment of the present invention;

[0032] Figure 5 A schematic diagram of a clustering map after cluster analysis of a co-occurrence map in an embodiment of the present invention is shown;

[0033] Figure 6 A schematic diagram showing the structure of a computer device according to a second embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0035] The present invention provides a management method for a simulation technology system, focusing on the correlation analysis and comprehensive management of simulation technology, and managing the simulation technology system from four aspects: overall simulation technology, simulation method and modeling technology, simulation support technology, and simulation application engineering technology. Figure 1 The flowchart of the simulation technology system management method of the present invention includes:

[0036] Collecting simulation technology literature information data to build a simulation technology knowledge base, and searching and accessing simulation technology through the simulation technology knowledge base, wherein the simulation technology includes overall simulation technology, simulation method and modeling technology, simulation support technology and simulation application technology;

[0037] Retrieve simulation technology literature information in various simulation technology literature information databases through simulation field keywords, obtain simulation technology literature information data, clean the simulation technology literature information data, remove invalid data and duplicate data, and save the cleaned simulation technology literature information data to the simulation technology knowledge base;

[0038] Through major simulation technology literature databases, literature information is collected according to simulation field keywords, and the collected simulation technology literature information is saved as a data source in the simulation technology knowledge base.

[0039] Search according to the keywords of simulation technology, obtain the simulation technology literature information data corresponding to the simulation technology, and access the corresponding simulation technology literature in response to the operation of the simulation technology literature information data. Among them, the keywords can be the name, theme, name and field of the simulation technology, etc., and the search form can be subject search, classification search, association search, etc. Subject search is indexed according to the theme, keywords and description information of the simulation technology literature; classification search is indexed according to the directory determined by the classification of simulation technology literature, and can be browsed down level by level according to the directory until the required resources are retrieved; association search means that after the user searches for simulation technology literature, the system automatically searches for related simulation technology literature and returns the results. The returned results can be arranged according to the relevance, update time, etc. of the records that match the user's query conditions.

[0040] The method also includes a fuzzy query, which is a secondary search of "re-querying in the search results" or a secondary reverse search of "removing in the search results" in the search results.

[0041] Build a knowledge graph based on the simulation technology knowledge base, and analyze the simulation technology literature information data in the simulation technology knowledge base from the aspects of publication trend, research hotspots, scientific research cooperation and development trend through the knowledge graph, so as to provide visual data support and development analysis basis for the simulation technology system;

[0042] The simulation technology literature information data is analyzed according to the knowledge graph tool, and the analyzed simulation technology literature information data is presented in the form of a graph. The graph is interpreted through co-occurrence analysis, cluster analysis or emergence analysis to obtain the interpreted visual data. Based on the visual data, the research hotspots and frontiers of simulation technology are obtained to track the dynamic characteristics of the development of simulation technology.

[0043] Based on the knowledge graph, the simulation technology in the simulation technology knowledge base is analyzed for association, and a visualized keyword / noun term co-occurrence network, scientific research cooperation network, document co-citation network, and document coupling network among simulation technology literature information data are established. The simulation technology literature information data in each network is analyzed using the knowledge graph tool. Specifically, through clustering, label identification, and statistical methods, the research hotspots, scientific research cooperation, and development trends of simulation technology are analyzed to track the dynamic characteristics of simulation technology development, trace potential knowledge fields, and provide a basis for development analysis for the simulation technology system.

[0044] With the help of scientific knowledge graph tools, massive data are mined, networks are drawn, clusters are analyzed and presented in the form of various graphs. The graphs are interpreted separately to abstract the research hotspots, cooperative relationships and development trends of simulation technology.

[0045] A simulation technology roadmap is constructed based on the simulation technology knowledge base, and the development sequence and mutual support relationship between various simulation technologies are sorted out through the simulation technology roadmap.

[0046] The simulation technology roadmap is associated with the simulation technology knowledge base, and in response to the operation on the simulation technology roadmap, the corresponding simulation technology literature information data in the simulation technology knowledge base is obtained.

[0047] The simulation technology system management method provided by the present invention has the following advantages: First, it displays the development context of simulation technology in the form of a simulation technology roadmap, supports hierarchical and classified display of the technology system, and supports users and administrators to modify the status, description, version and retain update records of uploaded resources; it is associated with specific simulation technologies in the simulation technology knowledge base, clarifies the development sequence and mutual support relationship between various simulation technologies, and provides a scientific basis for the orderly development of simulation technology. Second, it realizes information sharing of overall simulation technology in the form of knowledge graphs, obtains clear development priorities, analyzes from aspects such as publication trend, research hotspot analysis, scientific research cooperation analysis and development trend analysis through knowledge graphs, and displays simulation technologies in a related manner, providing a development analysis basis for the construction of simulation technology systems.

[0048] In a specific embodiment, Figure 2 It is a framework diagram of the simulation technology system management in this embodiment.

[0049] Construct the subject words in the simulation field, determine the database of the main articles published in the simulation field, obtain the simulation technology literature information data through database retrieval, clean the obtained simulation technology literature information data, eliminate invalid data and duplicate data, and collect the cleaned simulation technology literature information data into the simulation technology knowledge base. Retrieve and access simulation technology literature through the simulation technology knowledge base.

[0050] The simulation technology knowledge base includes relevant information on overall simulation technology, simulation methods and modeling technology, simulation support technology and simulation application engineering technology, and supports the upload, associated retrieval and access download of various simulation technology literature information related to overall simulation.

[0051] Users upload simulation technology literature information, including key technologies that have been broken through, key technologies that are expected to be broken through, and key technologies that will be broken through in the future, and other technical resource sharing requirements to guide users to create and upload resources.

[0052] Users search for various resources in the form of subject search, classification search, and association search. Among them, subject search is indexed according to the subject, keywords or description information of simulation technology documents; classification search is indexed according to the catalog determined by the classification of simulation technology documents, and users can browse down the catalog level by level until they find the required documents; association search means that after the user searches for simulation technology documents, the system can automatically search for related documents and return results. The simulation technology system supports returning results in the order of relevance, update time, etc. for records matching the user's query conditions, and also supports fuzzy query functions, secondary searches of "search again in the results" and secondary reverse searches of "remove in the results".

[0053] There is an associated search between the simulation technology system, the simulation engineering system and the simulation standard system. For specific simulation technology, it can be linked to the simulation engineering project corresponding to the technology, or the corresponding simulation standard specification, providing users with an associated search function. The simulation technology system is managed from four aspects: overall simulation technology, simulation methods and modeling technology, simulation support technology and simulation application engineering technology.

[0054] Through the simulation technology roadmap, the development of simulation technology is sorted out, the development sequence and mutual support relationship between various simulation technologies are clarified, and the specific information of the corresponding simulation technology in the simulation technology knowledge base is linked to the operation of the simulation technology roadmap. The simulation technology roadmap is composed of specific simulation technologies in chronological order. Clicking the technology name on the roadmap can link to the specific content of the simulation technology in the knowledge base.

[0055] Through the knowledge graph, simulation technology is analyzed from the aspects of publication trend, research hotspot analysis, scientific research cooperation analysis and development trend analysis.

[0056] Figure 3 It is a flowchart of analyzing simulation technology literature information data through knowledge graph in the embodiment, constructing a knowledge graph for simulation field literature information data collected in the simulation technology knowledge base, and using networks such as keyword / noun term co-occurrence, author / institution cooperation, document co-citation and document coupling, using a clustering algorithm to extract noun terms from the title, keywords or abstracts of simulation technology documents to name the clusters, and generate visual clustering diagrams, time zone diagrams, fisheye diagrams (timeline diagrams) and various statistical tables.

[0057] The cleaned literature information data is used as data input, and the data is processed by functions, thresholds, time zones, pruning, etc. This embodiment takes the analysis of the cleaned literature information data in terms of function selection as an example, and constructs an author / institution cooperation network based on the author, institution, and country of the literature information; constructs a keyword / noun term co-occurrence network based on the characteristic words, keywords, and subject information of the simulation literature information; constructs a literature co-citation network based on the simulation literature, author, and journal information; and constructs a literature coupling network based on the simulation literature and funds. Perform cluster analysis on each constructed data network to obtain visualized data. The visualization methods include: Figure 3 The next step is to label the clusters and extract cluster keywords from the cluster citing literature using three algorithms, including TF*IDF weighted algorithm, log likelihood algorithm and mutual information algorithm. Then the graph is interpreted to flexibly judge special points and connecting lines based on betweenness centrality, emergence, Sigma value and point degree centrality, so as to understand the network content.

[0058] Specifically, based on the knowledge graph, the simulation technology in the simulation technology knowledge base is analyzed for association, and a visual network of keyword / noun term co-occurrence, scientific research cooperation, document co-citation, document coupling, etc. is established between technical documents. Through clustering, label identification, statistics and other methods, the simulation technology research hotspots, scientific research cooperation, development trends, etc. are analyzed and obtained, the dynamic characteristics of simulation development are tracked, and potential knowledge fields are traced to provide a development analysis basis for the construction of the simulation technology system. Specifically, with the help of scientific knowledge graph tools, massive simulation technology literature information data is mined, networks are drawn, clusters are analyzed and presented in the form of various graphs, such as keyword / name co-occurrence graphs, scientific research institutions / personnel cooperation graphs, document co-citation, document coupling graphs, etc. The graphs are interpreted through co-occurrence analysis, cluster analysis or emergence analysis to abstract research hotspots, cooperative relationships, development trends, etc.

[0059] The trend of publication volume of simulation technology in the simulation field is obtained through knowledge graph analysis. Simulation technology literature information is the basis for scientific knowledge graph analysis. The time distribution chart of the number of publications in the field of simulation technology from 1990 to 2024 is statistically analyzed, including four aspects: overall simulation technology, simulation methods and modeling technology, simulation support technology, and simulation application engineering technology. The trend of publication volume of simulation technology is displayed and associated with the simulation technology knowledge base.

[0060] Through knowledge graph analysis, we can obtain the transformation trend of research hotspots in the simulation field. Keywords are the precise summary and high aggregation of literature research content. We extract research keywords / noun terms from the simulation technology knowledge base, analyze and generate the scientific knowledge graph of keywords / noun terms co-occurrence in the simulation field, obtain the evolution process of simulation technology, and discover research hotspots in the simulation field. Figure 4 Schematic diagram of the keyword co-occurrence map in this embodiment, wherein the frequency of keywords in the co-occurrence map is presented as node size, and the centrality is presented as line thickness. Figure 4 The size of the circle indicates the degree of centrality. For example, the keyword "simulation" appears most frequently and is the most central, corresponding to the largest circle. The relevance of the words related to it is indicated by the thickness of the connecting line. The thicker the line, the more relevant it is. The hot spots in the field of simulation are analyzed by keywords. The keyword co-occurrence map is clustered to analyze the network clusters formed by the interconnection of keywords with similar research topics in the research field, thereby accurately depicting the focus of the research frontier. Figure 5 This is the clustering map after clustering the keyword co-occurrence map in this embodiment. The more keywords contained in the corresponding cluster, the more important it is in the research, and the higher the popularity of the related research topic. Research hotspots are generally considered to be one or more topics of common concern to scholars in a certain field, with strong time characteristics. The detection frequency surge algorithm is used to find documents with a sudden and sharp increase in citation frequency. Such nodes reveal a very potential development direction, namely, research hotspots. Looking at the timeline, research hotspots will go through a process from germination to maturity to decline over time, and then be replaced by new research hotspots. Keyword emergence analysis is used to analyze the important changes in research hotspots.

[0061] The scientific research cooperation between individuals and organizations in the simulation field reflects the interests, affiliations and other scientific research cooperation relationships between individuals and teams in various simulation professional fields, and constitutes the ecosystem of the simulation professional field. The authors of the literature, technical research teams or institutions are extracted from the simulation technology knowledge base, and the scientific knowledge map of scientific research cooperation in the simulation field is generated. The ecosystem structure of various simulation professional fields is analyzed to find core experts, leaders or individuals, organizations and institutions that play an important role in the field, providing references for the introduction of academic and technical resources, cooperation and evaluation of academic and technical achievements.

[0062] The visualized network formed by the scientific research cooperation knowledge graph can be divided into the following types of cooperation: micro-scholar cooperation network (Co-Author), meso-institution cooperation network (Co-Institution) and macro-country / territory cooperation (Co-Country / Territory). In the obtained cooperation network, the size of the node represents the number of papers published by the author, institution or country / region. After the network is generated, the cooperation of the authors will form several natural clusters. The authors within the clusters cooperate closely, and the authors between the clusters cooperate less.

[0063] The development trend of simulation field is analyzed through knowledge graph. The research frontier of simulation field is the emerging simulation theory trend and the emergence of new topics. The knowledge basis of research frontier is its citation and co-citation trajectory in scientific literature (i.e., the evolutionary network formed by scientific literature citing research frontier terms), which is characterized by the research content of citing documents in document co-citation clustering. For document co-citation and document coupling knowledge graph, the hybrid network of emergent terms extracted from titles, abstracts, etc. and co-citation network is used for analysis, i.e., the composite network of co-citation documents and terms that cite these articles. For the development trend of simulation field, scientific knowledge graph can give quantitative, graphical visualization and tabular analysis results. Through the document coupling network, document co-citation clusters are formed to clearly organize the research frontier and knowledge basis; through document co-citation and co-citation to construct a network, clusters are labeled according to keywords and subject terms, and described with cluster topography with time as the horizontal axis, showing the rise and fall of clusters over time, and then inferring the subsequent development trend.

[0064] The research enthusiasm in various fields of simulation is analyzed through knowledge graphs. Draw the author co-citation clustering network map, connect the related authors together through the author co-citation clustering, and obtain cluster labels from the citing document titles of the co-cited documents to reflect the development trend of the field. Based on the co-occurrence clustering map of keyword labels, draw a clustering landform map, analyze the landform map, and obtain traditional research hotspots in simulation technology, such as modeling, models, and simulations; with the passage of time, the research hotspots gradually turn to conceptual models, architectures, and digital twins, that is, with the advancement of technology and the improvement of combat needs, the field of simulation technology is gradually developing in the direction of digitalization, systematization, and combat. With the development of technology, traditional research on architecture, artificial intelligence, system framework, deep learning, data analysis, and alert management has gradually increased. In addition, research in some fields such as drones has remained at a stable number, and it is expected that the research enthusiasm will remain for a certain period of time in the future.

[0065] This embodiment supports the hierarchical and classified display of the technology system through the simulation technology roadmap, and edits the technology system, supporting users and administrators to modify the status, description, version and retain update records of uploaded resources; sorting out the roadmap of my country's simulation technology development, displaying the development context of simulation technology in the form of a roadmap, and associating specific information on simulation technology, clarifying the development sequence and mutual support relationship between various simulation technologies, and providing a scientific basis for the orderly development of simulation technology. Information sharing of overall simulation technology is achieved through knowledge graph analysis, including clear development priorities, constructing knowledge graphs from aspects such as publication trend, research hotspot analysis, scientific research cooperation analysis and development trend analysis, and displaying simulation technologies in association, providing a development analysis basis for the construction of a simulation technology system.

[0066] like Figure 6 As shown, the second embodiment of the present invention provides a computer device, it can be understood that, Figure 6 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0067] like Figure 6 As shown, the computer device 12 is in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0068] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0069] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0070] The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 6not shown, usually called a "hard drive"). Although Figure 6 Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0071] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0072] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed through an input / output (I / O) interface 22. Furthermore, the computer device 12 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) through a network adapter 20. Figure 6 As shown, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be understood that although Figure 6 Not shown, other hardware and / or software modules may be used in conjunction with computer device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0073] The processor unit 16 executes the programs stored in the system memory 28 to perform various functional applications and data processing, such as implementing the method provided in the first embodiment of the present invention.

[0074] A third embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method provided by the first embodiment of the present invention is implemented.

[0075] In practical applications, the computer-readable storage medium can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0076] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0077] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0078] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0079] In the description of the present invention, it should be noted that the terms "upper", "lower", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0080] It should also be noted that, in the description of the present invention, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0081] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the implementation methods here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A management method for a simulation technology system, characterized in that: The method includes Collecting simulation technology literature information data to build a simulation technology knowledge base, and searching and accessing simulation technology through the simulation technology knowledge base, wherein the simulation technology includes overall simulation technology, simulation method and modeling technology, simulation support technology and simulation application technology; Constructing a knowledge graph based on the simulation technology knowledge base, analyzing the simulation technology literature information data in the simulation technology knowledge base through the knowledge graph, and providing visual data support and development analysis basis for the simulation technology system; A simulation technology roadmap is constructed based on the simulation technology knowledge base, and the development sequence and mutual support relationship between various simulation technologies are sorted out through the simulation technology roadmap.

2. The method according to claim 1, characterized in that The collecting of simulation technology literature information data to build a simulation technology knowledge base includes: The simulation technology document information is searched in various simulation technology document information databases through simulation field keywords to obtain simulation technology document information data, and the simulation technology document information data is saved in a simulation technology knowledge base.

3. The method according to claim 2, characterized in that The acquisition of simulation technology literature information data includes: The simulation technology literature information data is cleaned to remove invalid data and duplicate data.

4. The method according to claim 1, characterized in that: The analyzing the simulation technology literature in the simulation technology knowledge base through the knowledge graph includes: A keyword-term co-occurrence network, a noun-term co-occurrence network, a document co-citation network and a document coupling network for document visualization are established. The simulation technology document information data in each network is analyzed according to the knowledge graph tool, and the analyzed simulation technology document information data is presented in the form of a graph. The graph is interpreted to obtain the interpreted visualization data. Based on the visualization data, the research hotspots and research frontiers of simulation technology are obtained to track the dynamic characteristics of the development of simulation technology.

5. The method according to claim 4, characterized in that The interpreting of the spectrum comprises The profiles were interpreted by co-occurrence analysis, cluster analysis or emergence analysis.

6. The method according to claim 1, characterized in that The retrieving and accessing simulation technology documents through the simulation technology knowledge base includes Search is performed based on the keywords of the simulation technology to obtain the simulation technology literature information data corresponding to the simulation technology, and in response to the operation on the simulation technology literature information data, the corresponding simulation technology literature is accessed.

7. The method according to claim 1, characterized in that The method further comprises performing a secondary search or a secondary reverse search in the search results.

8. The method according to claim 1, characterized in that The simulation technology roadmap is associated with the simulation technology knowledge base, and in response to an operation on the simulation technology roadmap, corresponding simulation technology literature information data in the simulation technology knowledge base is obtained.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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