CN103136031A - Large-scale scene skill training simulation software of business model navigation - Google Patents
Large-scale scene skill training simulation software of business model navigation Download PDFInfo
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- CN103136031A CN103136031A CN 201110391325 CN201110391325A CN103136031A CN 103136031 A CN103136031 A CN 103136031A CN 201110391325 CN201110391325 CN 201110391325 CN 201110391325 A CN201110391325 A CN 201110391325A CN 103136031 A CN103136031 A CN 103136031A
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Abstract
The invention discloses a large-scale scene skill training simulation software of business model navigation. The large-scale scene skill training simulation software of the business model navigation comprises a system layer, a support layer and an application layer. Business models of large-scale scenes concerned about natural disasters, accidents and catastrophes, health, social safety and post career training are built through a business modeling approach, the included various skills are distinguished, defined and described, a simulation software platform provides simulated training for users utilizing the recognized skills, the large-scale scene skill training simulation software of the business model navigation is capable of effectively reducing the difficulty of the skill training, and reducing the loss caused by the lack of skill training and expanding the range of the skill training.
Description
Technical field
The present invention relates to a kind of large scene skill training simulation softward of business model navigation, belong to areas of information technology.
Background technology
The skill training simulation softward is that the simulated training equipment of the multiple different training courses such as initial learn, technical ability raising and case of emergency processing is provided for the every profession and trade personnel.Skill training simulation softward system is mainly scene demonstration true to nature, interactive event processing, training plan management etc., can help each mechanism of country effectively to reduce carrying out difficulty, reducing because lacking loss that skill training causes and the scope of expansion skill training of skill training, to ensureing that national people's safety, raising employee vocational skills etc. have very important effect, are widely used in the fields such as post career training and emergency drilling.Therefore, the skill training simulation system is closely related with the development of national people's livelihood people's meter.But the skill training simulation softward for large scene lacks at present, can not satisfy the simulated training demand for large scenes such as disaster, accident, health, social safeties.
Description of drawings
The large scene skill training simulation softward framework of Fig. 1 business model navigation
Summary of the invention
The invention provides a kind of large scene skill training simulation softward of business model navigation, pass through business modeling method, build the business model of the large scenes such as relevant disaster, accident, health, social safety and post career training, all kinds of technical ability that identification, definition and description wherein comprise, provide simulated training by the simulation softward platform for the user of these technical ability of identifying, can effectively reduce skill training difficulty, reduce because lacking loss that skill training causes and the scope of expansion skill training.
The large scene skill training simulation softward of business model navigation comprises data and information systems administration module, training plan administration module, modeling experiment administration module, model application management module, structuring analog information service module and unstructured information service module.
Described data and information systems administration module, according to the management process of digital resource, data and information systems management comprise data and information production management, release management, exchange of management and abrogate management etc.
Described training plan administration module, different according to the content of training plan, the training plan management can be divided into again the management of training general plan and the planning management of training subitem.The management of training general plan is the simulation choosing to be practiced the management of project overall planning.The subitem planning management is to respectively the itemize management of work of simulated training project, as the training step management etc.
Described modeling experiment administration module, modeling experiment are important steps of modeling and simulating, and the modeling experiment management comprises the management of simulating scenes setting and the management of emulated execution.Wherein the simulating scenes setting comprises that again simulation run setting, affairs maker arrange, timetable defines and other setting.The management of emulated execution mainly comprises setting and the management to conditions such as simulation time, artificial resource distribution, triggered activities.
Described model application management module, comprise to model search, the management of the function such as Model Matching.Resource management: the management that resource management comprises database, model bank, method base, the data bank that training program is related to and runs through above Formal Ontology semantic base.
Described structuring analog information service module, main storage to structured message, exchange etc. are for the user provides information service.
Described unstructured information service module, the unstructured information service provides obtaining of unstructured information.Platform comes the log information of saved system with file system.These daily records are not need system that the daily record of query function is provided.Preserve log information with file system, can so that the user is simpler, flexibly the operation and the admin log file.Some data also may be kept in file system simultaneously, such as the file of Legacy System generation, more manually created files etc., and system also will access this part data.In addition, system also needs to preserve the unstructured data that produces in a large number in operation system.
Embodiment
Below in conjunction with the drawings and specific embodiments, invention is described further.
The large scene skill training simulation softward framework of business model navigation comprises system layer, supporting layer and application layer.
Described system layer comprises resources bank and system management.
Wherein resources bank comprises financial resource storehouse, materials and equipment resources storehouse, device resource storehouse, energy resource storehouse, human resources storehouse and information resource database etc.Each resources bank all comprises split catalog and resource dictionary.According to level from high to low, can form database, model bank, method base, data bank and run through above Ontology storehouse.
System management function comprises: organization management, establishment officer's management, account management, Role Management, rights management, system's customization.
Described supporting layer comprises network system, server system, storage and backup system and business model clue navigational system.The major function of business model clue navigational system comprises the navigation of work organization clue, the navigation of collaboration process clue, operation/responsibility flow process clue navigation, the navigation of business information clue and comprehensive clue business navigation.Business model clue navigational system provides service by the incidence relation between each model view.The large scene skill training simulation softward framework of business model navigation comprises system layer, supporting layer and application layer.
Described application layer comprises model editor, Simulation Training, model virtual machine and model compiler.
Described model editor provides modeling symbol, the operation interface of each model and shows the interface.
Described technical ability emulation is responsible for various rule of ac-tions related in whole response process, the action scheme that may take, and the key elements such as duration of event define, business model just can be according to defined rule and scheme thus, and the operation of taking in conjunction with the trainee or decision behavior are carried out really simulation to action.
The logic composition of described model virtual machine is comprised of four parts: one group of instruction set, one group of register, stack, a method zone.These several parts do not rely on any technology or organizational form of realizing, their function realizes on real machine in some way.
The translation process of described model compiler from source code to the object code of can be directly being carried out by the model virtual machine.Model compiler need to be carried out lexical analysis, pre-service, parsing, syntax analysis, code generates and the code optimization operation.
In the large scene skill training system of business model navigation, modules has reflected under the condition of the event of generation, the situation of society, politics, economic dispatch aspect appearance.When the each run system, can simulate real event according to the different pieces of information that each module provides, to satisfy the requirement of authenticity to time simulation, sudden and unpredictability.Simultaneously, be different from other simulated training system, the introducing of business model airmanship is set up a kind of general three-dimensional system framework with the method for whole course integration fine modeling, can adjust adaptively according to different scenes the interactive mode of training, the participant that can not only offer each stage of level is true to nature, efficient simulated training function, more can be all kinds of public accidents are carried out comprehensive, intelligent simulation and mutual.
Claims (5)
1. the large scene skill training simulation softward of a business model navigation, is characterized in that, this simulation softward comprises:
System layer, supporting layer and application layer;
Described system layer comprises resources bank and system management;
Described supporting layer comprises network system, server system, storage and backup system and business model clue navigational system.The major function of business model clue navigational system comprises the navigation of work organization clue, the navigation of collaboration process clue, operation/responsibility flow process clue navigation, the navigation of business information clue and comprehensive clue business navigation.Business model clue navigational system provides service by the incidence relation between each model view.
Described application layer comprises model editor, Simulation Training, model virtual machine and model compiler.
2. large scene skill training simulation softward according to claim 1, it is characterized in that described data bank comprises financial resource storehouse, materials and equipment resources storehouse, device resource storehouse, energy resource storehouse, human resources storehouse and information resource database, each resources bank all comprises split catalog and resource dictionary.
3. large scene skill training simulation softward according to claim 1, is characterized in that system management comprises organization management, establishment officer's management, account management, Role Management, rights management, system's customization.
4. large scene skill training simulation softward according to claim 1, the logical gate that it is characterized in that described model virtual machine is comprised of one group of instruction set, one group of register, stack, a method zone.
5. large scene skill training simulation softward according to claim 1, is characterized in that described model compiler is carried out lexical analysis, pre-service, parsing, syntax analysis, code generates and the code optimization operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN 201110391325 CN103136031A (en) | 2011-12-01 | 2011-12-01 | Large-scale scene skill training simulation software of business model navigation |
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| CN 201110391325 CN103136031A (en) | 2011-12-01 | 2011-12-01 | Large-scale scene skill training simulation software of business model navigation |
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| CN103136031A true CN103136031A (en) | 2013-06-05 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104007971A (en) * | 2014-05-28 | 2014-08-27 | 北京理工大学 | Non-coding fast construction large scale virtual battlefield simulation platform |
| CN107844634A (en) * | 2017-09-30 | 2018-03-27 | 平安科技（深圳）有限公司 | Polynary universal model platform modeling method, electronic equipment and computer-readable recording medium |
| CN115809837A (en) * | 2023-02-09 | 2023-03-17 | 恒丰银行股份有限公司 | Financial enterprise management method, equipment and medium based on digital simulation scene |
-
2011
- 2011-12-01 CN CN 201110391325 patent/CN103136031A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104007971A (en) * | 2014-05-28 | 2014-08-27 | 北京理工大学 | Non-coding fast construction large scale virtual battlefield simulation platform |
| CN104007971B (en) * | 2014-05-28 | 2017-06-13 | 北京理工大学 | Non- code rapid build large-scale virtual battlefield emulation platform |
| CN107844634A (en) * | 2017-09-30 | 2018-03-27 | 平安科技（深圳）有限公司 | Polynary universal model platform modeling method, electronic equipment and computer-readable recording medium |
| CN115809837A (en) * | 2023-02-09 | 2023-03-17 | 恒丰银行股份有限公司 | Financial enterprise management method, equipment and medium based on digital simulation scene |
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Application publication date: 20130605 |