CN101620645A

CN101620645A - Method and system of large-scale simulation electronic information system architecture

Info

Publication number: CN101620645A
Application number: CN200910162659A
Authority: CN
Inventors: 王钰
Original assignee: Individual
Current assignee: Individual
Priority date: 2009-08-17
Filing date: 2009-08-17
Publication date: 2010-01-06
Anticipated expiration: 2029-08-17
Also published as: CN101620645B

Abstract

The invention relates to a method and a system of a large-scale simulation electronic information system architecture. The method comprises the following steps: (1) setting a computer simulation system, wherein the computer simulation system comprises an entity simulation model, a network simulation model and information transfer relation simulation models among entities; (2) setting a typical use scene, generating a sample and operating the computer simulation system. The invention can realize simulation experiments, quantitative analysis and performance evaluation of the large-scale electronic information system architecture, provide effective supports for the design and the optimization of the system architecture, reduce system design and construction risks and improve the reliability and the design level of a design result.

Description

A kind of method and system of large-scale simulation electronic information system architecture

Technical field

The present invention relates to computer realm, relate in particular to a kind of method and system of large-scale simulation electronic information system architecture.

Background technology

Large-scale electronic information is meant information equipments such as comprehensive utilization all types sensor, command system, communication and computer network, embedding execution platform information system, for the associated user provides the information support, to satisfy the complex large system of all kinds of emergency event disposes of information demands.Compare with general electronic information, large-scale electronic information is more emphasized integrated and the system notion.Architecture according to ANSI/IEEE Std1471-2000, is meant system unit, relation, and the principle and the guide that restrict each Component Design and evolution in time.For large-scale electronic information, system unit is all kinds of entities and network, and relation then comprises various information relation, as information report, distribution of information, order are assigned, collaborative request relation etc.

Architecture be from top layer, the overall situation the visual angle to the description that system carries out, be the common understanding of the expert of establishment system to the highest level of system.Architecture has been given prominence to early stage system design choice, these choices will have profound influence to all system developments and engineering construction work subsequently, therefore, analysis and evaluation system structure just become the key of guaranteeing and improving designing quality, system development level as early as possible.And architecture emulation, its core is to utilize computer simulation technique to investigate in virtual environment based on the running effect under the designed architecture, and with this foundation as assessment, optimization architecture Design.But have that risk is low, efficient is high, the low repeated experiments of cost, be convenient to characteristics such as quantitative test based on method of emulation, become the powerful measure of analysis and evaluation electronic information system architecture.

Up to now, mainly concentrate on the method for netting in the achievement aspect the large-scale electronic information system architecture emulation based on Petri, A.H.Levis professor [1] with Massachusetts Institute Technology's (MIT) information and decision system laboratory (LIDS) is representative, but core is to utilize the execution model of Petri net The Theory Construction system architecture, carry out simulation run then, performance evaluations such as the logical consistency of back-up system architecture, process accessibility assessment.But these researchs still can not meet the demands, specifically:

At first, performance evaluation only is an aspect of architecture assessment, what deviser and user more were concerned about is the usefulness of architecture, hope can be answered problems such as " if adopt this architecture; the performance of system will be how " by analyzing, although also have some researchs to attempt utilizing the Petri network method to carry out usefulness emulation, still achieving no breakthrough property progress.

Secondly, existing research generally lacks the emulation of architecture itself abstract, in modeling process, do not form independently, parameterized architecture realistic model, that is to say, not architecture as in the variable drawing-in system modeling process independently, in simulation process, can not adjust the architecture correlation parameter targetedly and experimentize, thereby can't " offer an explanation " variation that goes out architecture influence system effectiveness.

Therefore, be necessary to design a kind of method and system of large-scale simulation electronic information system architecture.Specifically, be necessary to design a kind of method and system that can support large-scale electronic information system architecture simulation modeling, experimental analysis, measures of effectiveness.

Summary of the invention

In order to solve above-mentioned technical matters, a kind of method and system of large-scale simulation electronic information system architecture is provided, its purpose is, reduces system design and risks of construction, improves the confidence level and the design level of design achievement.

The invention provides a kind of method of large-scale simulation electronic information system architecture, comprising:

Step 1 is provided with computer simulation system; The information transmission that comprises in this computer simulation system between entity realistic model, network simulation model and each entity concerns realistic model;

Step 2 is provided with the typical case and uses scene and generate sample, the operation computer simulation system.

In the step 1, the entity realistic model is used to show the ability and the behavior of entity; Network simulation model is used to show the ability and the behavior of network; Concern that realistic model is used to show that inter-entity information transmits relation.

Entity comprises sensor, command centre and execution platform;

The ability of sensor comprises: detection range is used to describe the investigative range of sensor; The target detection probability is used to be described in target and enters the probability that sensor after the investigative range can be found target; Detecting error is used to describe the location determination error of sensor to target; In the processing time, be used to describe sensor and judge the required time of target information;

The behavior of sensor comprises: judge at first whether target enters investigative range; Whether target be can access according to the target detection probability calculation then,, then corresponding information time delay and error obtained according to detecting error and processing time if can obtain target; Information between each entity transmits relation and determines the message pick-up entity, and sends the target information that detects;

The ability of command centre comprises: merge error, the error when being used to describe information to separate sources and merging; Time of fusion, the information that is used to describe separate sources merges the needed time;

The behavior of command centre comprises: at first transmit relation according to the information between the entity and determine information source, if can obtain information, then carry out information fusion, foundation merges error, time of fusion obtains corresponding information time delay and error; Transmit relation according to the information between each entity then and determine message pick-up entity, concurrent carry information;

The behavior of execution platform comprises: at first transmit relation according to the information between each entity and determine information source, if can obtain information, then get corresponding information time delay and error simultaneously; Transmit relation according to the information between each entity then and determine message pick-up entity, concurrent carry information;

The ability of network comprises: the connection rate is used to describe the probability that inter-entity can be communicated by letter; Transfer delay is used to describe the time that target information transmits via network; Loss Rate, the losing probability when being used to describe target information and transmitting via network;

The behavior of network comprises: the communication request of receiving entity at first, judge whether to allow to communicate by letter according to the relation of the communication topology between network and the entity, if allow then to judge whether and to be communicated with, obtain corresponding information time delay and Loss Rate according to transfer delay and Loss Rate if can be communicated with then according to the connection rate.

Step 2 comprises:

Step 3 is provided with the typical case and uses scene and generate sample;

Step 4, the service data of collecting computer analogue system;

Step 5 is carried out large-scale electronic information system architecture measures of effectiveness.

In the step 4, when comprising each, service data engraves target information, delay data and error information that each user receives;

In the step 5, carry out measures of effectiveness according to the following equation:

P = \frac{\underset{i}{Σ} \frac{\underset{j}{Σ} Inf o_{i}^{j}}{{Info}_{i}^{0}}}{N}

Wherein, N is a number of users, Info _i ⁰For setting the receivable target information quantity that arrives of user i;

Wherein, ageing requirement represents that with time delay accuracy requirement represents that with site error i, j are natural number.

The invention provides a kind of system of large-scale simulation electronic information system architecture, comprising:

Realistic model makes up module, is used for support entity realistic model, network simulation model and concerns the generation of realistic model;

The emulation planning module is used to support the typical case to use scene setting and sample to generate;

Simulation engine is used to control simulation run, and calculates operation result;

Data acquisition and effectiveness analysis module are used for gathering the service data of simulation run, and efficiency index is calculated and shows;

Database is used for storage, management data and assessment models.

The entity realistic model is used to show the ability and the behavior of entity; Network simulation model is used to show the ability and the behavior of network; Concern that realistic model is used for information transmission relation between artificial physical.

Entity comprises sensor, command centre and execution platform;

When comprising each, service data engraves target information, delay data and error information that each user receives;

Data acquisition and effectiveness analysis model carry out measures of effectiveness according to the following equation:

P = \frac{\underset{i}{Σ} \frac{\underset{j}{Σ} Inf o_{i}^{j}}{{Info}_{i}^{0}}}{N}

The present invention can realize emulation experiment, quantitative test and the measures of effectiveness of large-scale electronic information system architecture, for architecture Design and optimization provide effective support, greatly reduce system design and risks of construction, improve the confidence level and the design level of design achievement.

Description of drawings

Fig. 1 is simulation modeling provided by the invention and estimation flow figure;

Fig. 2 is typical large-scale electronic information arrangement plan;

Fig. 3 is an emulation planning flow chart provided by the invention;

Fig. 4 is a realistic model process flow diagram provided by the invention;

Fig. 5 is an analogue system frame diagram provided by the invention.

Embodiment

Below in conjunction with accompanying drawing, the present invention is described in further detail.

Typical large-scale electronic information shown in Figure 2 comprises: sensor is used for scouting and surveys, obtains information; Command system is used for informix and distribution, order generate and assign; Embed and carry out the platform information system, be used for the reception of auxiliary execution platform, process information and respond commanding and decision-making; Network is used for communicating by letter between support entity.The typical large-scale electronic information of present embodiment has been selected two sensors (sensor 1 and sensor 2), two command centres (command centre 1 and command centre 2), two networks (network 1 and network 2), two execution platforms (carry out platform 1 and carry out platform 2).The key point of technical solution of the present invention: (1) is based on the abstract architecture emulation modelling method of entity, network and relation; (2) based on the architecture measures of effectiveness process of emulation.

Following concrete enforcement will be that background describes with the described representative instance of Fig. 2,

Simulation modeling provided by the invention shown in Figure 1 and estimation flow figure comprise:

Step 11, carry out architecture emulation planning, its step comprises as shown in Figure 3

1) with architecture abstract be corresponding entity, network and relation;

In this example, being about to architecture abstract is two sensors, two command centres, two networks, two execution platforms.

2) the design typical case uses scene;

The typical case uses scene to be used to describe the main task of electronic information.In this example, the main task of electronic information is that a certain zone is monitored and obtains relevant information, support information is handled and distributes, supports the execution platform to make corresponding response.Wherein, sensor 1 and sensor 2 are used for scouting detection, obtaining information; Command centre 1 and command centre 2 are used for informix and distribution, order generate and assign; Carry out platform 1 and carry out platform 2 embedding execution platform information system, be used for auxiliary platform reception, process information and the response command carried out; Network 1 is used for communicating by letter between support entity with network 2.

3) design architecture measures of effectiveness index;

The design typical index is the information supporting rate, is used to characterize the information degree of support of electronic information to all types of user, and the user is an entity in this example.

4) computing formula of clearly relevant measures of effectiveness index;

The computing formula of design information supporting rate is as shown in Equation (1):

P = \frac{\underset{i}{Σ} \frac{\underset{j}{Σ} Inf o_{i}^{j}}{{Info}_{i}^{0}}}{N}

Wherein, the ageing available time delay (promptly from finding that target obtains the time of target to the user) that requires is represented accuracy requirement available position error (being the objective position of target and the target location mean square deviation that the user obtains) expression.

5) data that clearly will gather;

At the calculation requirement of information supporting rate, the data that gather comprise each constantly t go up target information that each user receives and corresponding time delay, error.

What need further specify is, the index that is used to measure architecture usefulness is not limited to the information supporting rate, and different purposes of appraisals will have different evaluation indexes, algorithm and data acquisition request, but treatment scheme and this example are basic identical.

Step 12, constructive system structure simulation model;

1), makes up the entity realistic model; As shown in Figure 4:

The emphasis of entity realistic model is ability and behavior emulation.In this example, the entity realistic model that should make up comprises two sensors, two command centres, two execution platforms, and ability index of choosing and action process are determined according to evaluation index.

Table 1 has provided entity, comprises the core competence index of sensor, command centre, execution platform:

Table 1 physical capabilities index

Entity class	The ability index
Entity class	The ability index	Sensor	Detection range, target detection probability, detecting error, processing time
Command centre	Merge error, time of fusion	Sensor
Command centre	Merge error, time of fusion	Carry out platform

The ability index of sensor is: detection range is used to describe the investigative range of sensor; The target detection probability is used to be described in target and enters the probability that can find it after the investigative range; Error is used to describe its location determination error to target; Processing time is used to describe it and judges the required time of target information.

The action process of sensor is: judge at first whether target enters investigative range; Whether target be can access according to the target detection probability calculation then,, then corresponding information time delay and error obtained according to error and processing time if can obtain target; The 3rd determines the message pick-up entity according to table 4 (information relationship table), and sends the target information that detects.

The ability index of command centre is: the error when merging error and being used to describe information to separate sources and merging; The information that time of fusion is used to describe separate sources merges the needed time;

The action process of command centre is: at first determine information source according to table 4 (information relationship table), if can obtain information, then carry out information fusion, obtain corresponding information time delay and error according to fusion error, time of fusion; Determine message pick-up entity, concurrent carry information according to table 4 (information relationship table) then.

Carry out platform and in the implementation case, information is not handled, so do not consider its respective capabilities index.

The action process of carrying out platform is: at first determine information source according to table 4 (information relationship table), if can obtain information, then simultaneously can get corresponding information time delay and error; Determine message pick-up entity, concurrent carry information according to table 4 (information relationship table) then.

In architecture emulation, the physical capabilities index all can be used as variable adjustment, to characterize different physical capabilities, the process that the process of this adjustment also promptly experimentizes.

What need further specify is, according to the difference of assessment objective, the ability index and the behavior that are used to describe entity may be also different, and just ultimate principle is identical.

2) building network simulation modeling;

Table 2 network capabilities index

	The ability index
	The ability index	Network	Connection rate, transfer delay, Loss Rate

The ability index of network is: the connection rate is used to describe the probability that inter-entity can be communicated by letter; Transfer delay is used to describe the time that target information transmits via network; Losing probability when Loss Rate is used to describe target information and transmits via network.

The action process of network is: the communication request of receiving entity at first, judge whether to allow communication according to table 3 (communication topology table), if allow then to judge whether and to be communicated with, obtain corresponding information time delay and Loss Rate according to transfer delay and Loss Rate if can be communicated with then according to the connection rate.

Table 3 has provided communication topology table, and is provided with in conjunction with this example.

Table 3 communication topology table

	Network 1	Network 2
	Network 1	Network 2	Sensor 1	??√
Sensor 2	??√		Sensor 1	??√
Sensor 2	??√		Command centre 1	??√

Command centre 2		??√
Command centre 2		??√	Carry out platform 1	??√
Carry out platform 2		??√	Carry out platform 1	??√
Carry out platform 2		??√	Network 1	??√
Network 2	??√		Network 1	??√

In the table 3, beat between entity and network " √ ", show that then this entity can utilize this network to communicate; Beat between network and network " √ ", then show between two networks and can realize intercommunication.

In architecture emulation, this table can be used as variable adjustment, to show different communication architectures, the process that the process of this adjustment also promptly experimentizes.

What need further specify is, according to the difference of simulation objectives, the ability index and the behavior that are used to describe network may be also different, and ultimate principle is identical.

3) structure concerns realistic model.

Table 4 has provided the information relationship table, and is provided with in conjunction with this example.

Table 4 information relationship table

	Sensor 1	Sensor 2	Command centre 1	Command centre 2	Carry out platform 1	Carry out platform 2
	Sensor 1	Sensor 2	Command centre 1	Command centre 2	Carry out platform 1	Carry out platform 2	Sensor 1	??√
Sensor 2			??√				Sensor 1	??√
Sensor 2			??√				Command centre 1		??√
Command centre 2					??√	??√	Command centre 1		??√
Command centre 2					??√	??√	Carry out platform 1
Carry out platform 2							Carry out platform 1

In the table 4, entity and inter-entity are beaten " √ ", show that then entity should transmit information by entity in the row in row.

In architecture emulation, this table can be used as variable adjustment, to show different entity interaction relations, the process that the process of this adjustment also promptly experimentizes.

What need further specify is, according to the difference of simulation objectives, the relation that is used to describe entity interaction may be also different, but ultimate principle is identical, and can further expand and be applied to command relation, conspiracy relation etc.

Step 13, operating simulation system;

Step 14 is gathered the relevant service data of emulation experiment;

At the assessment requirement of this example, gather comprise each constantly t go up target information that each user (being each entity) receives and corresponding time delay, error information;

Step 15 is carried out the architecture measures of effectiveness.

Step 16 judges whether to reach the expection assessment objective, if then finish, then returns step 13 if not, experimentizes again.

According to formula (1) computing information supporting rate.

Fig. 3 is an emulation planning flow chart provided by the invention, comprising:

Step 111, with architecture abstract be corresponding entity, network and relation;

Step 112 designs typical application scenarios;

Step 113, design architecture measures of effectiveness index;

Step 114, clear and definite index of correlation algorithm;

Step 115, the clearly data that will gather.

Fig. 4 is a realistic model process flow diagram provided by the invention, comprising:

Step 121 makes up the entity realistic model;

Step 122, the building network realistic model;

Step 123, structure concerns realistic model.

6.0 exploitations realize that its functional module is specially based on VC for the computerized system of large-scale simulation electronic information system architecture shown in Figure 5, described computerized system:

Subsystem S1, realistic model make up module, are used for support entity realistic model, network simulation model and concern the generation of realistic model.

Wherein, entity realistic model covering sensor, command centre and execution platform, network simulation model comprise network and the design of respective communication topology relationship, concern that realistic model comprises that the various information relation is provided with.

Subsystem S2, the emulation planning module is used to support the typical case to use scene setting and sample to generate, and exports with the XML form.Wherein, a sample is meant the setting value set of each variable in the emulation, and the value difference of variable is promptly represented different samples.

Wherein, the typical case uses scene to be mainly used in the task of the setting line home position of going forward side by side and disposes, and initial position is disposed and promptly specified its initial warp, latitude, high coordinate; Sample generates and is used for supporting to adjust correlation parameter, comprises that mainly ability index, network capabilities index, topology network relation, the inter-entity information of all kinds of entities transmits relation, reaches the target of simulation different architecture by the adjustment of parameter.

Subsystem S3, simulation engine is used to control simulation run, and calculates operation result.

Wherein, related entities, network are based on self rule of conduct autonomous operation in the analogue system, as in this example, sensor 1 and sensor 2 according to sensor rule of conduct autonomous operation, command centre 1 and command centre 2 according to command centre's rule of conduct autonomous operation, carry out platform 1 and carry out platform 2 according to carrying out platform rule of conduct autonomous operations, network 1 and network 2 according to network behavior rule autonomous operation, the control of simulation run is mainly reflected in the aspects such as beginning, time-out, F.F. of emulation; To the then main calculating of carrying out according to the ability index and the corresponding relation of each entity, network of the calculating of simulation result.In this example, calculating relates generally to: whether each sensor can detect target, the Target Location Error that detects and time delay, error, the time delay of the target information that can each command centre receive target information, receive after command centre merges carries out that can platform receive target information, error, the time delay of the target information received.

Subsystem S4, data acquisition and effectiveness analysis module are used for gathering the simulation run related data, and efficiency index is calculated and show;

Wherein, in this example, the data of need gathering comprise each constantly t go up target information that each entity receives and corresponding time delay, error information; Effectiveness analysis mainly comprises the information supporting rate, as shown in Equation 1, and information such as related objective quantity, time delay, error; The content of showing comprises the t moment, the destination number of different entities, time delay, graph of errors, and t information supporting rate curve constantly.

Subsystem S5, database is used for storage, management data and related algorithm model.The algorithm model master comprises all kinds of assessment models.

Wherein, data owner will comprise the related data that produces in the ability achievement data of each entity and network and the simulation run, and as the destination number in this example, time delay, error information, it mainly is to be used for off-line analysis that these data are carried out storage administration; Algorithm model mainly comprises all kinds of assessment models, and as the information supporting rate computation model in this example, system supports flexible increase and decrease, the modification of algorithm model.

Those skilled in the art can also carry out various modifications to above content under the condition that does not break away from the definite the spirit and scope of the present invention of claims.Therefore scope of the present invention is not limited in above explanation, but determine by the scope of claims.

Claims

1. the method for a large-scale simulation electronic information system architecture is characterized in that, comprising:

2. the method for large-scale simulation electronic information system architecture as claimed in claim 1 is characterized in that, in the step 1, the entity realistic model is used to show the ability and the behavior of entity; Network simulation model is used to show the ability and the behavior of network; Concern that realistic model is used to show that inter-entity information transmits relation.

3. the method for large-scale simulation electronic information system architecture as claimed in claim 2 is characterized in that, entity comprises sensor, command centre and execution platform;

4. the method for large-scale simulation electronic information system architecture as claimed in claim 1 is characterized in that, step 2 comprises:

Step 3 is provided with the typical case and uses scene and generate sample;

Step 4, the service data of collecting computer analogue system;

5. the method for large-scale simulation electronic information system architecture as claimed in claim 4 is characterized in that, in the step 4, engraves target information, delay data and error information that each user receives when service data comprises each;

P = \frac{\underset{i}{Σ} \frac{\underset{j}{Σ} {Info}_{i}^{j}}{{Info}_{i}^{0}}}{N}

6. the system of a large-scale simulation electronic information system architecture is characterized in that, comprising:

Database is used for storage, management data and assessment models.

7. computer simulation system as claimed in claim 6 is characterized in that, the entity realistic model is used to show the ability and the behavior of entity; Network simulation model is used to show the ability and the behavior of network; Concern that realistic model is used for information transmission relation between artificial physical.

8. the system of large-scale simulation electronic information system architecture as claimed in claim 7 is characterized in that, entity comprises sensor, command centre and execution platform;

9. the system of large-scale simulation electronic information system architecture as claimed in claim 6 is characterized in that, engraves target information, delay data and error information that each user receives when service data comprises each;

P = \frac{\underset{i}{Σ} \frac{\underset{j}{Σ} {Info}_{i}^{j}}{{Info}_{i}^{0}}}{N}