Modeling and storage method of engine design product digital ecosystem

Abstract

The invention relates to an engine design product digital ecological systematic modeling and storing method. The method comprises the following steps: 1) defining each subsystem included in an engine as a colony, designing each part in the engine as an individual and defining the sets of same part individuals in the subsystems as populations according to the structure of the engine; 2) establishing a mathematic model of each part according to the structural characteristics of the part; 3) establishing mathematic models of the populations; 4) establishing mathematic models of the colonies according to assembling relationship of parts in the subsystems; and 5) establishing a mathematic model of an engine ecological system according to the assembling relationship of the subsystems, and storing the mathematic model. Compared with the prior art, the method disclosed in the invention has the advantages that the information lost in the digital storage process of the parts is less and the redundancy of the storage data is less.

Description

technical field [0001] The invention relates to an industrial design automation technology, in particular to a digital ecosystem modeling and storage method for engine design products. Background technique [0002] Modern industry has the characteristics of information-intensive and knowledge-intensive. In order to meet the development needs, the design method of products is developed in the direction of intelligence, integration and automation. Intelligent design is an inevitable trend to solve this problem. Intelligent design is a new system formed by the combination of artificial intelligence and computer-aided design system. It takes the user's functional requirements as the input, and takes the product design scheme description as the output, and optimizes the scheme by comprehensively considering the product's function, performance, materials, process, etc., so as to achieve the goal of automatic design. [0003] As the product structure tends to be complex and the fu...

AI Technical Summary

Problems solved by technology

Research shows that design changes in complex products can cost tens of millions

[0004] Research on a large number of design change processes in the design process of complex products. The automation of the design change process can greatly reduce costs, make it more intelligent, and better integrate with Industry 4.0. The most basic of industrial design automation is the construction of industrial products. Model, the digital storage model of industrial products determines how far its intelligence can go. If the initial model is not set up, due to various researches and extended applications that are extended on an imperfect basis in the later stage, it is necessary to modify the structure of the sending model the cost will be huge

Images