Knowledge-driven function change propagation path and workload prediction method

Abstract

The invention provides a knowledge-driven function change propagation path and workload prediction method. The method comprises the following steps: firstly, from the perspectives of functions and knowledge, establishing a function change propagation prediction information model, determining a change propagation potential path, finding out all potential affected functions, and comparing the similarity between change knowledge of the change functions and knowledge of the affected functions one by one; secondly, respectively establishing a change propagation tree from the function decompositionmodel and a change propagation tree from the function interface model, and calculating change propagation possibility and extra complexity and workload brought by change propagation; and finally, making a specific design plan according to the extra complexity and workload, and effectively managing the product research and development progress. The method is combined with a BZT complexity evaluation method, helps engineers to improve an existing research and development plan, guarantees the research and development progress, and improves the problems of huge workload, high input subjectivity and low universality of a product component-based engineering change propagation prediction method.

Description

technical field [0001] The invention relates to the technical field of change propagation prediction, in particular to a knowledge-driven function change propagation path and workload prediction method. Background technique [0002] The difficulty of effectively predicting and managing the complexity of the design phase is one of the main reasons for the increase in product development cycle. The research and development of large-scale products such as automobiles, aircraft and satellites is a complex system engineering that needs to go through multiple iterative stages, among which the design stage is crucial, and its quality not only directly determines the development time, but also affects subsequent manufacturing, use and maintenance cycle and cost. According to the system engineering method, in the initial stage of the design stage, complex products can be decomposed into function trees with functions of different levels of abstraction from top to bottom. Integration...

AI Technical Summary

Problems solved by technology

[0009] Aiming at the technical problems of strong workload subjectivity and weak versatility in existing change propagation prediction methods, this invention proposes a knowledge-driven function change propagation path and workload prediction method. From the perspective of function and knowledge, Establish a function change propagation prediction model; then determine the change propagation path and calculate the propagation possibility; on this basis, combined with the BZT complexity evaluation method, calculate the additional workload caused by the function change propagation, so as to help engineers improve the existing R&D plan , to ensure the development progress

The present invention can improve the problems of the existing engineering change propagation prediction method based on product components, such as huge workload, strong input subjectivity and low versatility

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