Multidisciplinary collaborative optimization flow modeling and scheduling method and system based on business process execution language (BPEL)

Abstract

The invention discloses a multidisciplinary collaborative optimization flow modeling and scheduling method and a system based on a business process execution language (BPEL). The method includes the steps of creating multidisciplinary optimization flows based on the BPEL, analyzing flow modeling files, creating multidisciplinary optimization design flow instances, executing the multidisciplinary optimization design flow instances, recording journal files of the multidisciplinary optimization flows in an iterative process, and providing checking service for the journal files. The system comprises a flow creating module, a flow analyzing module, a flow operation instance creation module, a flow instance execution module and a flow execution journal recording module. The method and the system are service-orientated in operation scheduling, support service call among networks, combine with current cloud computing well, can shield modeling principles, modeling forms and input-output inconsistency of different disciplines in modeling, and construct the single-stage and multi-stage multidisciplinary optimization flows rapidly.

Description

technical field [0001] The invention relates to a method for modeling and dispatching of a multidisciplinary collaborative optimization process, in particular to a method and system for modeling and scheduling of a multidisciplinary collaborative optimization process based on BPEL. Background technique [0002] The design of complex engineering systems often involves multiple disciplines. MDO (Multidisciplinary Design Optimization) is an effective method and tool to solve the design optimization of complex engineering systems. The purpose of MDO can be summarized as: (1) to obtain the overall optimal solution of the system by making full use of the synergistic effect generated by the interaction between various disciplines; (2) to shorten the design cycle by realizing parallel computing and design; (3) to use High-precision analysis models improve the credibility of design results. The task of the MDO method is to integrate the analysis models of various disciplines or subs...

AI Technical Summary

Problems solved by technology

[0006] In terms of web service composition and orchestration, the main research focuses on constructing web service processes with the idea of ​​workflow, but it differs from traditional workflow in that the active nodes of traditional workflow are completed by tasks, but it supports The activities supported by the Web service composition process orchestration language are completed by Web services. Of course, the ideas of the two are mutually infiltrated.

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