WO2012142805A1

WO2012142805A1 - System emulation method and system

Info

Publication number: WO2012142805A1
Application number: PCT/CN2011/078581
Authority: WO
Inventors: 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: 2011-04-18
Filing date: 2011-08-18
Publication date: 2012-10-26
Also published as: CN102254089A

Abstract

The present invention relates to a system emulation method and system. The system emulation method includes: in step 1, abstracting a system into an entity and a relation, wherein the entity characterizes various component parts in the system, and the relation characterizes the association between the parts; in step 2, setting entity parameters and relation parameters, wherein the entity parameters include capability, action and effect, and the relation parameters include a communication topology parameter, an information interactive parameter and a task flow parameter; and in step 3, running the emulation and calculating the efficacy of the system, wherein the efficacy of the system characterizes the running effect of the system. The present invention can realize system emulation, providing effective support to system design and optimization, greatly reducing risk in system design and construction, and improving the credibility and design level of the design achievement.

Description

TECHNICAL FIELD 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. Among them, "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 basis for design, evaluation and optimization. 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. Currently in the field of system simulation, 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. Independent entities of capabilities, through the autonomous operation and interaction of these entities, "emerge" out the overall behavior of the system. However, this method is not yet fully satisfactory. Specifically, entity-based methods imply the "relationship" between entities in the entity model, lacking an explicit representation of "relationships", making it difficult to quantitatively analyze the impact of "relationships" on the system. For example, for an emergency command system, system performance (such as response time) depends not only on the capabilities of each constituent entity, but also on the inter-entity interconnection, information flow, command system, and coordination mechanism. The "relationship" class factor, and the lack of explicit modeling of such "relationship" factors, makes it difficult to observe the effect of the "relationship" class factor on the performance of the system by directly changing the value of the "relationship" factor. At present, some studies have carried out simulation modeling on the "relationship" class factor, but the existing results have not yet simulated the system from the perspective of (entity, relationship), and lack communication topology, information interaction, task flow, etc. The induction and description of the "relationship" class factor. It can be seen from the above that it is necessary to design a system simulation method and system. Specifically, it is necessary to design a system simulation method and system based on (entity, relationship) modeling. SUMMARY OF THE INVENTION In order to solve the above technical problems, 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. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a flow chart of a shielded internal mechanism and a trusted communication network simulation method; FIG. 2 is a diagram of an example target system composition. DETAILED DESCRIPTION OF THE INVENTION The present invention will be further described in detail below with reference to the accompanying drawings. 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 ^{£ΐ ' ^£2 " · · ' ^£ ' ^} and relationship ^ ¹ ^ ² '...' ⁷ ^ ; The target system S assumed by the present invention is shown in Fig. 2, entity ^{£ 1 ' ^£ 2 "'', ^ is {perceive unit ^ sensing unit 2, decision unit 1, decision unit 2, communication Network 1, communication network 2, execution unit 1, execution unit 2 } and relationship {communication topology, information sharing relationship, command relationship, abnormal target disposal flow}. 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. Specifically, set typical capability parameters and behavior parameters of the entity, as shown in Table 1; Table 1 Entity capability parameters and behavior parameters

ability

Detection plan execution

Entity detection transmission behavior effect reaction generation reaction speed

Range delay

Time time time

If an abnormal target is found, if it is related to the abnormal target, then the distance according to the information mark ≤ the sensing unit 20

10 seconds, the sharing relationship will be abnormal, and then

1 mile

The target information is passed to the discovery of the abnormal target entity.

If the distance from the abnormal target is ≤ the sensing unit is 15

20 seconds measurement range, then

2 standard, then no processing

Enough to find abnormal targets

If you receive the information, then

Decision unit 600 based on information sharing

A little 1 second relationship sends the information to

Corresponding entity

If you receive the information, then

Decision unit 500

According to the abnormal situation, it takes 2 seconds.

Disposal process generation Plan and follow the command

Pass the plan to the phase

Entity, at the same time

Information sharing relationship

Information passed to the corresponding real

Body

200

If you receive information and

Execution unit km

30 seconds plan, then execution plan

1 〃J,

Draw

Time

100

Execution unit kilometers if received information and

20 seconds

2 〃J, plan, then not processed

Time

Communications network

10 seconds if you receive communication

Slightly 1 request, then according to

Whether the letter topology can judge

Connected, if the general is in phase

Communications network

20 seconds should be delayed and forwarded 2

Interest, if not, then do not turn

hair. It should be further explained that the corresponding parameters listed in Table 1 are only examples, and can be extended according to requirements in practical applications. 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

Communication network 1 communication network 2 sensing unit 1 I

Sensing unit 2 I

Decision unit 1 I

Decision making unit 2 I II

Execution unit 1 I Execution unit 2 I II

Communication network 1

Communication network 2 If the entity and the network in Table 2 are not empty, it means that the corresponding entity accesses the network, and I II is used to represent the priority of access. If there is any between the networks, it means that the two networks can Connected. Table 3 Information sharing relationship

In Table 3, if the entities are not empty, it means that the corresponding entity of the row transmits information to the corresponding entity of the column, and I and II are used to characterize the priority of the transmission. It should be further explained that the list listed in Table 3 is only an example, and the actual application can be extended according to the type of information. Command relationship

In Table 4, if the entities are not empty, it means that the corresponding entity of the row can be commanded by the corresponding entity of the column, and I and II are used to represent the priority of the command. The exception handling process consists of a series of scripted rules, described as: "If an exception target is received, then the nearest execution unit that sent the exception target goes to the location of the exception target." It should be further noted that the foregoing rules are merely examples, and may be extended according to requirements in practical applications. Step 4. Run the simulation system and calculate the system performance ^{£ ι ' ^£ 2 '...' Λ where the system performance consists of a series of indicators used to evaluate the system's operational effectiveness. Specifically, run the simulation system and calculate the system performance index "emergency response time"; set the system performance index to the emergency response time. In this example, select "emergency response time" as the system effectiveness evaluation index, the specific meaning of which is "self-discovery abnormal target" From the time when the execution unit rushed to the location of the abnormal target." The calculation method is:

^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

Time event record calculation method

1 Set the initial position of the corresponding unit to:

Target (0,0,0); sensing unit 1 (1,0,0); perception

Unit 2 (2,0,0;); execution unit 1 (0, 1,0;);

T=0 line unit 2(0,2,0), each square represents 10

in.

Depending on the effect, the distance between the sensing unit 1 and the abnormal target

2 sensing unit 1 finds an abnormal target;

The detection range of 10 km is ≤ 20 km.

The sensing unit detects the reaction time as 10S;

3 sensing unit 1 requesting abnormal target information

t=10 According to the information sharing relationship table, the sensing unit 1 should be sent to the decision unit 2

Send intelligence to decision unit 2.

Perceptual unit 1 and decision unit 2 are hung in the communication network at the same time

4 Decision unit 1 receives the sensing unit 1 and sends the network 1 to connect;

t=20

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;

5 Decision unit 2 generates a plan and requests that

t=520 According to the command relationship table, the execution unit 1 preferentially accepts the plan information and sends it to the execution unit 1

Policy unit 2 command.

Execution unit 1 and decision unit 2 are hung in the communication network at the same time

6 Execution unit 1 receives the decision 1 of decision unit 2, so it can communicate;

t=530

According to the capability parameter table, the transmission time of the communication network 1 is 10S;

t=560 7 Execution unit 1 starts motion Execution unit 1 execution reaction time is 30S

The speed of the execution unit 1 is 200 km / h.

8 Execution unit 1 moves to the abnormal target

t=740 The distance between the execution unit 1 and the abnormal target is 10 mm.

In the case, you need to exercise 180S to calculate the emergency response time = 1⁄2 达 - 1⁄2 now = ⁷⁴⁰ - ⁰ = er. Step 5: Determine whether the result meets the requirements. If yes, stop the simulation; if no, go to step 2. A person skilled in the art can make various modifications to the above without departing from the spirit and scope of the invention as defined by the appended claims. The scope of the invention is therefore not limited by the description, but by the scope of the claims.

Claims

Claim

A system simulation method, comprising:

Step 1. Abstract the system as an entity and relationship; each component in the entity representation system, and the relationship between the components;

Step 2: setting 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;

Step 3, run the simulation and calculate the system performance; the performance of the system performance characterization system.

2. The system simulation method according to claim 1, further comprising the step 4, adjusting the entity parameter and the relationship parameter according to the requirement until the simulation target is reached.

3. The system emulation method according to claim 2, wherein the capability is used to describe what the entity has; the behavior is used to describe what the entity is doing under what conditions; and the effect is used to describe the entity receiving the external energy interaction. The impact of time on the ability and behavior of the communication; the communication topology is used to describe the interconnection relationship between entities; the information interaction is used to describe the various information interactions between entities; the task flow is used to describe the process of collaboratively completing tasks between entities. .

4. A system simulation system, comprising:

System abstraction module, used to abstract the system into entities and relationships; each component in the entity representation system, the relationship between the components;

a parameter setting module, configured to set 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;

The simulation module is used to run the simulation and calculate the system performance; the operating efficiency of the system performance characterization system.

5. The system simulation system according to claim 4, further comprising a parameter adjustment module, configured to adjust the entity parameter and the relationship parameter according to the requirement until the simulation requirement is met.