CN104133948B - A kind of simulation model generation method, system and simulation model - Google Patents
A kind of simulation model generation method, system and simulation model Download PDFInfo
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- CN104133948B CN104133948B CN201410338482.1A CN201410338482A CN104133948B CN 104133948 B CN104133948 B CN 104133948B CN 201410338482 A CN201410338482 A CN 201410338482A CN 104133948 B CN104133948 B CN 104133948B
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Abstract
The embodiment of the present invention provides a kind of simulation model generation method, system and simulation model, and methods described includes：Selected logical model, parses input data and output data that the logical model includes, and extract the lookup table data that the logical model includes；Data configuration scheme is generated according to the input data, the output data and the lookup table data；The logical model and data configuration scheme are encapsulated as simulation model.
Description
Technical field
The present invention relates to emulation testing technical field, more particularly to a kind of simulation model generation method, system and emulation mould
Type.
Background technology
MATLAB is a kind of Model-based diagnosis core tool；And Simulink is the most important components of MATLAB
One of, Simulink can provide the integration environment of Modelling of Dynamic System, emulation and comprehensive analysis.At this stage engine electric-controlled
During system development, it will pass through Simulink and build logical model, and emulation testing is completed using logical model.
But in the prior art, the logical model built using Simulink, it can only make among emulation testing
For the instrument of a saving calculating process.Use for complex logic model needs to give staff deep to the model
Understand；The checking and judgement of output data, it is also necessary to evaluated by the actual conditions and effect of model running.
It can be said that the shortcomings that prior art is, emulation testing, the use and test of model are carried out using logical model
As a result judgement all excessively relies on artificial, it is necessary to which staff has sufficient understanding for the principle of model, for staff's increasing
Work load is added, and efficiency is low.
The content of the invention
In view of this, it is an object of the invention to provide a kind of simulation model generation method, system and simulation model, in institute
Encapsulation such as traditional logical model and corresponding data configuration scheme in simulation model is stated, realizes the higher emulation of automaticity
Test and more easily test result judge.
To achieve the above object, the present invention has following technical scheme：
A kind of simulation model generation method, methods described include：
Selected logical model, parses input data and output data that the logical model includes, and extract the logic
The lookup table data that model includes；
Data configuration scheme is generated according to the input data, the output data and the lookup table data；
The logical model and data configuration scheme are encapsulated as simulation model.
It is described setting data configuration scheme be specially：
For valid data scope corresponding to the setting of the input data, output data and lookup table data, by the conjunction
Method data area generates the data configuration scheme.
The lookup table data that the extraction logical model includes is specially：
From the ECU data by demarcation, the lookup table data that the logical model includes is extracted.
It is described the logical model is encapsulated as simulation model with data configuration scheme also to include：
In encapsulation process, the simulation model is encrypted.
A kind of simulation model generates system, and the system includes：
Data acquisition module, for selecting logical model, parse input data and output number that the logical model includes
According to, and extract the lookup table data that the logical model includes；
Arrangements module, for generating number according to the input data, the output data and the lookup table data
According to allocation plan；
Model encapsulation module, for the logical model and data configuration scheme to be encapsulated as into simulation model.
The arrangements module includes：
Setup unit, for for valid data corresponding to the setting of the input data, output data and lookup table data
Scope；
Dispensing unit, for the valid data scope to be generated into the data configuration scheme.
The system also includes：
Encrypting module, in encapsulation process, being encrypted to the simulation model.
A kind of simulation model, the simulation model include logical model and data allocation plan, the data configuration scheme
Input data, output data and lookup table data in the logical model and generate.
The data configuration scheme is specially：
For the input data and output data for parsing to obtain from the logical model, and the inquiry table number that extraction obtains
According to valid data scope corresponding to setting；The valid data scope is generated into the data configuration scheme.
The simulation model is encrypted encapsulation by logical model and data allocation plan and generated.
As seen through the above technical solutions, beneficial effect existing for the present invention is：As seen through the above technical solutions, this reality
Applying beneficial effect existing for example is：Encapsulate to obtain simulation model by data configuration scheme and logical model so that for emulation
The checking and judgement of test result are completed by data configuration scheme, without the actual conditions and effect by operation；Also make
The utilization and control of simulation model are further departing from the pattern of craft so that the emulation carried out using the simulation model is surveyed
Examination has higher automaticity；The security of simulation model is ensure that by encryption.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are the present invention
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
Fig. 1 is methods described flow chart of the embodiment of the present invention；
Fig. 2 is logical model structural representation described in the embodiment of the present invention；
Fig. 3 is system structure diagram described in the embodiment of the present invention；
Fig. 4 is simulation model structural representation described in the embodiment of the present invention.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
By for traditional logical model combination data allocation plan in the present invention, to obtain highly efficient being easy to operation and using
Simulation model.It is shown in Figure 1, it is a specific embodiment of the method for the invention.In the present embodiment, methods described bag
Include following steps：
Step 101, selected logical model, parse input data and output data that the logical model includes, and extract
The lookup table data that the logical model includes.
In the present embodiment, a logical model built using Simulink is predefined first.It is shown in Figure 2, be
The structural representation of logical model described in the present embodiment.In logical model shown in Fig. 2, include input 1~input 5 totally 5 altogether
Individual input data, output 1~totally 4 output datas of output 4, totally 3 lookup datas of 1~lookup data of lookup data 3.Input number
According to the design determined in logical model build process with output data, and lookup data is derived from ECU data.
After logical model determination, you can parse input data and output data that the logical model includes, then from
By in the ECU data of demarcation, extracting the lookup table data that the logical model includes.Subsequently for input data, output number
Data configuration scheme is generated according to lookup table data.
Step 102, according to the input data, the output data and the lookup table data generate data configuration side
Case.
The data configuration scheme, it on the one hand can be used for guiding the substitution of input data and output data in logical model
Extraction, that is to say, that may include the input interface of input data and the output interface of output data in data configuration scheme；By
During this improves emulation testing, the automaticity of model startup optimization；So that utilization and control for model, enter one
The pattern departing from craft of step.
On the other hand, using data configuration scheme, more intuitively related data can also be verified and judged.Tool
For body, generation data configuration scheme can be for corresponding to the input data, output data and lookup table data setting
Valid data scope, the valid data scope is generated into the data configuration scheme.That is, the data configuration scheme
In show the legal ranges of three kinds of data, thus directly the operation result of simulation model can be entered by data configuration scheme
Row checking and judgement, without the actual conditions and effect by operation.
Restriction of the data configuration scheme for data legal range, refer to next section of logic mechanism：
PROJECT test
FUNCTION AccPed
FILENAME AccPed.mdl
Lookup table data 1
Lookup table data 1_X
Lookup table data 1_Y
Lookup table data 2
Lookup table data 2_X
Lookup table data 2_Y
Lookup table data 3
Lookup table data 3_X
Input 10,1,2,3,4,5,6,7,8,9
Input 20,1,2,3,4,5,6,7,8,9
Input 30,1,2,3,4,5,6,7,8,9
Input 40,1,2,3,4,5,6,7,8,9
Input 50,1,2,3,4,5,6,7,8,9
Export 1+0-10
Export 2+0-10
Export 3+0-10
Export 4+0-10
END
Above logic mechanism defines, the legal range of 5 kinds of input datas is 0~9 10 integers, the conjunction of output data
Method scope is the real number in 0~10 section, and defines coordinate axis information corresponding to form in lookup table data.
Step 103, the logical model and data configuration scheme be encapsulated as simulation model.
Data configuration scheme is further encapsulated as the simulation model of a similar black box, the emulation mould with logical model
Type can realize the carry out emulation testing of the higher automaticity on the basis of traditional logic model；The utilization of simulation model and
Control is further departing from the pattern of craft；And the operation result of simulation model is verified and judged, without by means of
Help the actual conditions and effect of operation.
Preferably, the simulation model can also be encrypted according to demand during encapsulation.This area
Middle conventional cipher mode, can be incorporated under the present embodiment overall technical architecture, not limit specifically herein.
As seen through the above technical solutions, beneficial effect existing for the present embodiment is：Pass through data configuration scheme and logic
Model encapsulation obtains simulation model so that and checking and judgement for the simulation results are completed by data configuration scheme, and
Without the actual conditions and effect of operation；Also make the utilization of simulation model and control further departing from the mould of craft
Formula so that the emulation testing carried out using the simulation model has higher automaticity；It ensure that by encryption
The security of simulation model.
It is shown in Figure 3, it is the specific embodiment of system of the present invention, in the present embodiment, the system is used to perform
Method described in embodiment illustrated in fig. 1, the two technical scheme is substantially consistent, is accordingly described in previous embodiment, same suitable
For in the present embodiment.System includes described in the present embodiment：
Data acquisition module, for selecting logical model, parse input data and output number that the logical model includes
According to, and extract the lookup table data that the logical model includes.
Arrangements module, for generating number according to the input data, the output data and the lookup table data
According to allocation plan.
The arrangements module includes：
Setup unit, for for valid data corresponding to the setting of the input data, output data and lookup table data
Scope.
Dispensing unit, for the valid data scope to be generated into the data configuration scheme.
Model encapsulation module, for the logical model and data configuration scheme to be encapsulated as into simulation model.
Encrypting module, in encapsulation process, being encrypted to the simulation model.
As seen through the above technical solutions, beneficial effect existing for the present embodiment is：Pass through data configuration scheme and logic
Model encapsulation obtains simulation model so that and checking and judgement for the simulation results are completed by data configuration scheme, and
Without the actual conditions and effect of operation；Also make the utilization of simulation model and control further departing from the mould of craft
Formula so that the emulation testing carried out using the simulation model has higher automaticity；It ensure that by encryption
The security of simulation model.
It is the specific embodiment of simulation model of the present invention referring to described in Fig. 4.In the present embodiment, the simulation model
I.e. using the simulation model of the generation of method shown in Fig. 1, the two technical scheme is substantially consistent, is accordingly described in previous embodiment.
In the present embodiment, the simulation model is specially：
The simulation model includes logical model and data allocation plan, and the data configuration scheme is according to the logic mould
Input data, output data and lookup table data in type and generate.
The data configuration scheme is specially：
For the input data and output data for parsing to obtain from the logical model, and the inquiry table number that extraction obtains
According to valid data scope corresponding to setting；The valid data scope is generated into the data configuration scheme.
The simulation model is encrypted encapsulation by logical model and data allocation plan and generated.
As seen through the above technical solutions, beneficial effect existing for the present embodiment is：Pass through data configuration scheme and logic
Model encapsulation obtains simulation model so that and checking and judgement for the simulation results are completed by data configuration scheme, and
Without the actual conditions and effect of operation；Also make the utilization of simulation model and control further departing from the mould of craft
Formula so that the emulation testing carried out using the simulation model has higher automaticity；It ensure that by encryption
The security of simulation model.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (5)
1. a kind of simulation model generation method, it is characterised in that methods described includes：
Selected logical model, parses input data and output data that the logical model includes, and extract the logical model
Including lookup table data；
Data configuration scheme is generated according to the input data, the output data and the lookup table data；
The logical model and data configuration scheme are encapsulated as simulation model；
It is described generation data configuration scheme be specially：
For valid data scope corresponding to the setting of the input data, output data and lookup table data, by the legal number
The data configuration scheme is generated according to scope.
2. method according to claim 1, it is characterised in that the lookup table data tool that the extraction logical model includes
Body is：
From the ECU data by demarcation, the lookup table data that the logical model includes is extracted.
3. method according to claim 1, it is characterised in that described to be encapsulated as the logical model and data configuration scheme
Simulation model also includes：
In encapsulation process, the simulation model is encrypted.
4. a kind of simulation model generates system, it is characterised in that the system includes：
Data acquisition module, for selecting logical model, input data and output data that the logical model includes are parsed, and
Extract the lookup table data that the logical model includes；
Arrangements module, match somebody with somebody for generating data according to the input data, the output data and the lookup table data
Put scheme；
Model encapsulation module, for the logical model and data configuration scheme to be encapsulated as into simulation model；
The arrangements module includes：
Setup unit, for for valid data scope corresponding to the setting of the input data, output data and lookup table data；
Dispensing unit, for the valid data scope to be generated into the data configuration scheme.
5. system according to claim 4, it is characterised in that the system also includes：
Encrypting module, in encapsulation process, being encrypted to the simulation model.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105608978A (en) * | 2016-02-15 | 2016-05-25 | 余启佳 | Simulation model for magnetic suspension Boeing 747 airliner |
| CN106484621B (en) * | 2016-10-13 | 2018-12-14 | 北京润科通用技术有限公司 | A kind of method for generating test case and device |
| CN106502897B (en) * | 2016-10-24 | 2019-03-12 | 北京润科通用技术有限公司 | Test model generation method and device |
| CN109586963B (en) * | 2018-11-30 | 2022-03-04 | 北京仿真中心 | Cloud simulation platform security guarantee system, server, terminal and method |
| CN114424196A (en) * | 2019-09-30 | 2022-04-29 | 西门子股份公司 | Nonlinear model linearization processing method, device and storage medium |
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| CN201812197U (en) * | 2010-06-09 | 2011-04-27 | 北京经纬恒润科技有限公司 | Device for testing automobile electronic control system |
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| CN201812197U (en) * | 2010-06-09 | 2011-04-27 | 北京经纬恒润科技有限公司 | Device for testing automobile electronic control system |
| CN102393819A (en) * | 2011-11-08 | 2012-03-28 | 上海师范大学 | MATLAB (matrix laboratory)-based fuzzy controller HDL (hardware description language) code automatic generation method |
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