Selection method based on multiple design schemes of Petri network complex system

Abstract

The invention discloses a selection method based on multiple design schemes of a Petri network complex system. According to the complex system, firstly, an internal logic structural relation between all the design schemes and attribute information of reliability, maintainability, testability and safety of related components are acquired; secondly, a feasibility model is constructed, a time delay Petri network BVTPN, based on the feasibility model, of the complex system is established according to the information of all the schemes of the complex system, and a comprehensive influence parameter model is further constructed; lastly, the optimal scheme of the complex system is found in combination with the rapidity and wholeness of an ant colony algorithm. By means of the optimal scheme seeking method, the problems related to optimal selection of multiple attribute schemes of the complex system at present are solved, that is, the phenomenon that the reliability, the maintainability, the testability and the safety are not combined is thoroughly avoided by comprehensively balancing the influences of the attribute information on the optimal scheme, the rapidity and accuracy of optimal selection of the schemes of the complex system are greatly improved, and it is guaranteed that the complex system is designed effectively and the comprehensive efficiency of the complex system is optimal in the whole life cycle.

Description

technical field [0001] The invention belongs to the field of multi-scheme optimization methods in the development stage of complex systems, and in particular relates to a selection method for multi-design schemes of complex systems based on Petri nets. Background technique [0002] With the rapid development of science and technology and higher and higher functional requirements for products, products need many complex systems to complete the expected functions, especially in high-tech fields such as aviation, aerospace and nuclear technology, which are widely used. However, in the early design stage of complex systems, there are many schemes for a certain task or action of the complex system, which leads to the problem of scheme optimization. The problem of solution optimization for complex systems has always been the focus and difficulty of the product. If there are many problems in the selected solution, it will bring unpredictable losses to the entire life cycle of the p...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method for selecting multiple design schemes for complex systems based on Petri nets, and to establish a four-character integration model for the early stage of complex system development, which solves the problem that the four characteristics cannot be comprehensively balanced in the prior art 1. The problem of difficult selection of multiple design schemes, that is, to solve the current problem of "two skins" between the four characteristics when optimizing the design scheme

Images