WO2012142805A1 - Procédé et système d'émulation de système - Google Patents

Procédé et système d'émulation de système Download PDF

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Publication number
WO2012142805A1
WO2012142805A1 PCT/CN2011/078581 CN2011078581W WO2012142805A1 WO 2012142805 A1 WO2012142805 A1 WO 2012142805A1 CN 2011078581 W CN2011078581 W CN 2011078581W WO 2012142805 A1 WO2012142805 A1 WO 2012142805A1
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WO
WIPO (PCT)
Prior art keywords
entity
parameters
relationship
simulation
describe
Prior art date
Application number
PCT/CN2011/078581
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English (en)
Chinese (zh)
Inventor
王钰
叶季青
许峰
陈少卿
高阜乡
李崑
李泠泠
汪蕾
Original Assignee
Wang Yu
Ye Jiqing
Xu Feng
Chen Shaoqing
Gao Fuxiang
Li Kun
Li Lingling
Wang Lei
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wang Yu, Ye Jiqing, Xu Feng, Chen Shaoqing, Gao Fuxiang, Li Kun, Li Lingling, Wang Lei filed Critical Wang Yu
Publication of WO2012142805A1 publication Critical patent/WO2012142805A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation

Definitions

  • the present invention relates to the field of computer simulation, and in particular, to a system simulation method and system.
  • BACKGROUND OF THE INVENTION The so-called system, according to "Ci Hai", refers to a whole that is related to the mutual connection of things.
  • the core elements of the construction system include two: one is the entity, and the other is the relationship between the entities that are mutually restricted.
  • This "relationship” includes tangible physical network connections, as well as intangible information sharing mechanisms and collaborative workflows. It is through these “relationships” that the system combines individual entities into one to pursue the effect of 1 1 1>2.
  • “1” can represent a single independent entity, and "ten” means between entities. relationship.
  • the core of the system simulation is to use the computer simulation technology to construct the system model of the target system that is still existing or still in the design, and to carry out simulation and quantitative analysis and evaluation, and to identify the key factors affecting the system's effectiveness, and use this as a system.
  • the simulation-based method has the characteristics of low risk, high efficiency, low cost, repeatable experiment, and convenient quantitative analysis. It has become a powerful means to analyze and evaluate the effectiveness of the system.
  • the main method is to use the bottom-up entity-based approach (FLAMES Online Documentation, http://www.ternion.org.cn, 2004.12). The main idea is to decompose the system into multiple adaptations.
  • a system simulation method and system are provided, the purpose of which is to design a system simulation method and system based on (entity, relationship) modeling.
  • the invention provides a system simulation method, comprising: Step 1: abstracting the system into entities and relationships; and representing each component in the entity representation system, the relationship characterizing the relationship between the components; Step 2, setting entity parameters and relationship parameters; Parameters include capabilities, behaviors, and effects; relationship parameters include communication topology parameters, information interaction parameters, and task flow parameters. Step 3, run the simulation and calculate the system performance; the performance of the system performance characterization system.
  • the ability is used to describe what the entity has; the behavior is used to describe what the entity is doing under what conditions; the effect is used to describe the impact of the entity's ability and behavior on the external energy interaction; the information interaction parameters characterize each entity Class information interaction relationship; communication topology is used to describe the interconnection relationship between entities; information interaction is used to describe various types of information interaction between entities; task flow is used to describe the process of collaboratively completing tasks between entities.
  • the invention provides a system simulation system, comprising: a system abstraction module, which is used to abstract a system into entities and relationships; each component in an entity representation system, a relationship between components; a parameter setting module, configured to set an entity Parameters and relationship parameters; Entity parameters include capabilities, behaviors, and effects; Relationship parameters include communication topology parameters, information interaction parameters, and task flow parameters.
  • Simulation module used to run simulation and calculate system performance; system performance characterization system operation effect.
  • the invention can realize system simulation, provide effective support for system design and optimization, greatly reduce system design and construction risk, and improve credibility and design level of design results.
  • FIG. 2 is a diagram of an example target system composition.
  • the present invention provides a system simulation method, as shown in FIG. 1, comprising the following steps: Step 1, abstracting the target system S into a corresponding entity ⁇ £ ⁇ '£ " ⁇ ⁇ ' £ ' ⁇ and relationship ⁇ 1 ⁇ 2 '...' 7 ⁇ ;
  • Step 1 abstracting the target system S into a corresponding entity ⁇ £ ⁇ '£ " ⁇ ⁇ ' £ ' ⁇ and relationship ⁇ 1 ⁇ 2 '...' 7 ⁇ ;
  • the target system S assumed by the present invention is shown in Fig.
  • Step 2 Set the entity parameters, including the capabilities CapMity ' ⁇ CapMity , Behavior E, ⁇ Beheiver x , Beheivet Beheiver n ⁇ and the effect ⁇ Effect, , Effect 2 Effect m ⁇ .
  • the capability parameter is used to describe what the entity has; the behavior is used to describe what the entity is doing under what conditions; the effect is used to describe the impact of the entity on its ability and behavior when receiving external energy interactions.
  • Table 1 Entity capability parameters and behavior parameters of the entity
  • the target information is passed to the discovery of the abnormal target entity.
  • the sensing unit is 15
  • Execution unit kilometers if received information
  • Step 3 set the relationship parameters, including the communication topology parameters 7 ⁇ ' ⁇ 2 '...' ⁇ , information interaction parameters 7 ⁇ , 0 , In f ° , ' ⁇ ⁇ ⁇ In f ° m ⁇ And the task flow parameter R ] i ⁇ sion, , Mission Mission n ⁇ ; wherein, the communication topology is used to describe the interconnection relationship between entities; the information interaction is used to describe various types of information interaction between entities, and the information sharing is mainly described here. Relationship and command relationship; The task process is used to describe the process of collaboratively completing tasks between entities. The focus is on the abnormal target disposal process. Specifically, the relationship parameters are set, including the communication topology (see Table 2), the information sharing relationship (see Table 3), the command relationship (see Table 4), and the exception handling process. Table 2 Communication Topology
  • Step 4 Run the simulation system and calculate the system performance ⁇ £ ⁇ ' £ 2 '...' ⁇ where the system performance consists of a series of indicators used to evaluate the system's operational effectiveness.
  • T ⁇ ti , which indicates the time when the earliest execution unit arrived at the location of the abnormal target; ti indicates the earliest time when the abnormal target was found.
  • Acquisition simulation runtime situation collection simulation operation ⁇ time target and entity situation and event, the corresponding settings and event results are shown in Table 5. Simulation running ⁇ time running situation
  • Unit 2 (2,0,0;); execution unit 1 (0, 1,0;);
  • the detection range of 10 km is ⁇ 20 km.
  • the sensing unit detects the reaction time as 10S;
  • the sensing unit 1 should be sent to the decision unit 2
  • Perceptual unit 1 and decision unit 2 are hung in the communication network at the same time
  • Decision unit 1 receives the sensing unit 1 and sends the network 1 to connect;
  • the intelligence information is based on the capability parameter table, and the transmission time of the communication network 1 is 10S;
  • the planning generation time of decision unit 2 is 500S;
  • the execution unit 1 preferentially accepts the plan information and sends it to the execution unit 1
  • Execution unit 1 and decision unit 2 are hung in the communication network at the same time
  • Execution unit 1 receives the decision 1 of decision unit 2, so it can communicate;
  • the transmission time of the communication network 1 is 10S;
  • the speed of the execution unit 1 is 200 km / h.
  • Step 5 Determine whether the result meets the requirements. If yes, stop the simulation; if no, go to step 2.

Abstract

La présente invention concerne un procédé et un système d'émulation de système. Le procédé d'émulation de système consiste à : à l'étape 1, abstraire un système en une entité et une relation, l'entité caractérisant diverses parties constitutives dans le système, et la relation caractérisant l'association entre les parties ; à l'étape 2, établir des paramètres d'entité et des paramètres de relation, les paramètres d'entité comprenant une capacité, une action et un effet, et les paramètres de relation comprenant un paramètre de topologie de communication, un paramètre interactif d'informations et un paramètre de flux de tâche ; et, à l'étape 3, exécuter l'émulation et calculer l'efficacité du système, l'efficacité du système caractérisant l'effet d'exécution du système. La présente invention peut réaliser une émulation de système, fournissant un support efficace à la conception et l'optimisation de système, réduisant fortement un risque dans la conception et la construction de système, et améliorant le niveau de crédibilité et de conception de la réalisation de conception.
PCT/CN2011/078581 2011-04-18 2011-08-18 Procédé et système d'émulation de système WO2012142805A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN201110096406 2011-04-18
CN201110096406.0 2011-04-18
CN2011101518921A CN102254089A (zh) 2011-04-18 2011-06-08 一种体系仿真方法和系统
CN201110151892.1 2011-06-08

Publications (1)

Publication Number Publication Date
WO2012142805A1 true WO2012142805A1 (fr) 2012-10-26

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CN (1) CN102254089A (fr)
WO (1) WO2012142805A1 (fr)

Cited By (1)

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Publication number Priority date Publication date Assignee Title
US11931387B2 (en) 2014-10-31 2024-03-19 Pendulum Therapeutics, Inc. Methods and compositions relating to microbial treatment and diagnosis of disorders

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106156495B (zh) * 2016-06-28 2019-03-29 湖南明康中锦医疗科技发展有限公司 呼吸机参数设置的方法、呼吸机、云平台及系统
CN107832551B (zh) * 2017-11-24 2021-10-01 北京宇航系统工程研究所 一种面向航天装备的组件化体系仿真系统及方法

Citations (4)

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Publication number Priority date Publication date Assignee Title
CN101421984A (zh) * 2006-02-13 2009-04-29 玛丽亚·高斯 基于选定的应用产生并执行平台仿真的系统和方法
CN101620645A (zh) * 2009-08-17 2010-01-06 王钰 一种仿真大型电子信息系统体系结构的方法和系统
CN101741627A (zh) * 2008-11-14 2010-06-16 电子科技大学 一种双引擎分布式对等网络仿真系统体系结构
CN101944153A (zh) * 2010-10-19 2011-01-12 上海海事大学 一种基于组件的集装箱码头三维仿真方法

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Publication number Priority date Publication date Assignee Title
CN101421984A (zh) * 2006-02-13 2009-04-29 玛丽亚·高斯 基于选定的应用产生并执行平台仿真的系统和方法
CN101741627A (zh) * 2008-11-14 2010-06-16 电子科技大学 一种双引擎分布式对等网络仿真系统体系结构
CN101620645A (zh) * 2009-08-17 2010-01-06 王钰 一种仿真大型电子信息系统体系结构的方法和系统
CN101944153A (zh) * 2010-10-19 2011-01-12 上海海事大学 一种基于组件的集装箱码头三维仿真方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11931387B2 (en) 2014-10-31 2024-03-19 Pendulum Therapeutics, Inc. Methods and compositions relating to microbial treatment and diagnosis of disorders

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