A method and device for constructing a high-speed train demand data instance

Abstract

Provided is a method for establishing and processing high-speed train demand data instances, comprising: obtaining a pre-established demand metamodel; said demand metamodel and the structure of said high-speed train having a correlation, and said demand metamodel comprising a demand object, object properties, and property association information; according to the demand object corresponding to said demand metamodel, determining instance basis information of said demand object; performing a valuation operation on the object properties of the demand object corresponding to the demand metamodel as well as the property association information to obtain the demand data instances corresponding to said demand object; saving each of the demand data instances in a database to generate a demand instance database; responding to an instruction to invoke said demand instance database, and executing on said demand instance database an operation corresponding to said instruction. The method effectively increases efficiency in demand data acquisition, and efficiency in the development of high-speed trains, and reduces waste of human labor and resources.

Description

technical field [0001] The invention relates to the technical field of high-speed trains, in particular to a method and device for constructing high-speed train demand data instances. 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...

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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