A method and device for establishing a high-speed train demand meta-model

Abstract

A method for establishing and processing a requirement meta model for a high-speed train, comprising: acquiring a pre-established complete set of data of a high-speed train structure tree, wherein the high-speed train structure tree is established and obtained on the basis of a structure of the high-speed train; successively selecting a requirement item corresponding to each structure point in the high-speed train structure tree using the pre-established complete set of data of the high-speed train structure tree, and determining the requirement item as a requirement object of the requirement meta model; determining the object attribute and attribute association information of each of the requirement objects of the requirement meta model; establishing the requirement meta model according to the object attribute of and attribute association information of each of the requirement objects; and storing each of the established requirement meta models in a database to constitute a requirement meta model database, wherein the requirement meta model database is used, when receiving an instruction for invoking the requirement meta model, to output the corresponding requirement meta model data in response to the instruction for invoking the requirement meta model, so as to construct various structures of the high-speed train.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for establishing a high-speed train demand meta-model. Background technique [0002] With the development of transportation technology, high-speed trains have become a research hotspot in railway transportation technology. A high-speed train is a faster train obtained by improving the power system, walking system, carriage shape and rail system on the basis of existing diesel locomotives, electric locomotives and railways. In the design and development process of high-speed trains in the prior art, it is first necessary to determine demand data to guide product design. Among them, high-speed train demand data is a collection of specific requirements put forward by all relevant customers for high-speed train products through collection. It is an important basis for guiding product design, and provides relevant filling templates for new customers or new...

AI Technical Summary

Problems solved by technology

[0003] However, in the process of implementing the present invention, the inventors found that due to the complexity of determining the source of demand data, the prior art requires a lot of manpower and time to manually process demand data, resulting in repeated waste of research and development resources and delays in research and development progress

In addition, a large number of manpower operations lead to a high probability of error, which cannot meet the needs of rapid train development

There is currently no effective demand data processing method to solve the above problems

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