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Embedded system simulation method and system based on PRES network refinement operation

A technology of embedded system and simulation method, which is applied in the field of embedded system simulation based on PRES network refinement operation, can solve problems such as state space explosion, and achieve the effect of improving efficiency and accuracy

Inactive Publication Date: 2021-07-23
SHANDONG JIANZHU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the above problems, the present disclosure provides an embedded system simulation method and system based on the refinement operation of the PRES network. By replacing the places in the abstract PRES network model with the place-type subnetwork, PRES is realized. The refinement operation of the net, using the refined PRES net, solves the problem of "state space explosion" when modeling and simulating large-scale complex embedded systems, and improves the efficiency and accuracy of embedded system modeling and simulation

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  • Embedded system simulation method and system based on PRES network refinement operation
  • Embedded system simulation method and system based on PRES network refinement operation
  • Embedded system simulation method and system based on PRES network refinement operation

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Embodiment 1

[0046] The purpose of this embodiment is to provide an embedded system simulation method based on the PRES network refinement operation.

[0047] A kind of embedded system simulation method based on PRES network refinement operation, comprising:

[0048] Based on the function and module division of the embedded control system, an abstract PRES network model is constructed;

[0049] Determine the place-type subnet in the abstract PRES network model based on relevant constraints;

[0050] Utilize described place type sub-network to carry out refinement operation to described abstract PRES network model, obtain the PRES network model of refinement;

[0051] Based on the refined PRES network model obtained, the simulation of the embedded control system is realized.

[0052] Specifically, for ease of understanding, the solutions described in the present disclosure will be described in detail below in conjunction with the accompanying drawings:

[0053] (1) Overall structure

[...

example 1

[0096] Example 1: Suppose T pp is a transition sequence t 1 ,t 2 ,...,t m . The corresponding transition delays are [d 1 - , d 1 + ], [d 2 - , d 2 + ],...,[d m - , d m + ]. The corresponding transition functions are f 1 , f 2 ,..., f m . Then, the minimum transition set delay is d pp - = d 1 - +d 2 - +...+d m - ; the largest transition set delay is d pp + = d 1 + +d 2 + +...+d m + ; the corresponding transition set function is (in is a compound operator).

[0097] For example in Figure 2(a), T pp ={t 1 ,t 2}. Minimum transition set delay d pp - = d 1 - +d 2 - ; The largest transition set delay is d pp + = d 1 + +d 2 + ; the corresponding transition set function is

example 2

[0098] Example 2: Suppose T pp Contains the parallel transition t 1 ,t 2 ,...,t n . The corresponding transition delays are [d 1 - , d 1 + ], [d 2 - , d 2 + ],...,[d n - , d n + ]. The corresponding transition functions are f 1 , f 2 ,..., f n . Then, the minimum transition set delay is d pp - =max(d 1 - , d 2 - ,...,d n - ); the largest transition set delay is d pp + =max(d 1 + , d 2 + ,...,d n + ); the corresponding transition set function is f pp = f 1 ||f 2 ||...||f n (where || is the concurrency operator).

[0099] For example in Figure 2(b), T pp ={t 1 ,t 2}. Minimum transition set delay d pp - =max(d 1 - , d 2 - ); the largest transition set delay is d pp + =max(d 1 + , d 2 + ); the corresponding transition set function is f pp = f 1 ||f 2 .

[0100] In order to study the property preservation problem of the refinement operation in Section 4 and Section 5, the following assumptions are given for the place subnet...

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Abstract

The invention provides an embedded system simulation method and system based on PRES network refinement operation, and the scheme comprises the steps: building an abstract PRES network model based on the function and module division of an embedded control system; determining a place type subnet in the abstract PRES net model based on related constraint conditions; performing refinement operation on the abstract PRES network model by utilizing the library type subnetwork to obtain a refinement PRES network model; and based on the obtained refinement PRES network model, realizing simulation of the embedded control system. According to the scheme, the library type subnet is used for replacing the library in the abstract PRES network model, the refinement operation of the PRES network is achieved, the refinement PRES network is used for solving the problem of state space explosion when a large-scale complex embedded system is subjected to modeling simulation analysis, and the modeling simulation efficiency and precision of the embedded system are improved.

Description

technical field [0001] The present disclosure relates to the technical field of embedded system simulation, in particular to an embedded system simulation method and system based on PRES network refinement operation. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] Embedded systems have been widely used in many fields such as 5G chips, automotive electronics, communication equipment, industrial Internet, home appliances, and the Internet of Things, and become more and more complex as the demand increases. How to model the embedded system and how to ensure the correctness of the model is a very worthy of attention. [0004] In the prior art, various modeling methods are used to simulate embedded systems, such as UML, MARTE, SYSML, Petri nets and finite state machines. These modeling methods describe the characteristics of embedded systems from di...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/18G06F30/22G06F111/04
CPCG06F30/18G06F30/22G06F2111/04
Inventor 夏传良
Owner SHANDONG JIANZHU UNIV