Modeling method of industry chain ecological big data model and the application thereof

Abstract

The invention discloses a modeling method of industry chain ecological big data model, comprising selecting a target industry chain, establishing an industry ecological system, establishing a big data component application framework model, establishing a big data structural form classification model, implementing link division for the industry chain based on the industry ecological system and according to the features of the industry ecological system where the target industry chain belongs, implementing standard design for the business process comprehensive data structure of the target industry chain and the comprehensive data structure of the industrial subject, meanwhile, implementing standard modeling of data interface system for the input data type and standard etc., related to different industry chain links, constituting the logical relationship among various data, and finishing big data modeling. The modeling method of industry chain ecological big data model is according to the requirements of the whole industry ecological system formed on the basis of the vertical industry chain and the horizontal correlative industry chain, and comply with the top-level design principle, and achieves automation, systematization and modeling of the big data model.

Description

technical field [0001] The present invention relates to the field of building big data models, in particular to a modeling method and application of an industrial chain ecological big data model, specifically starting from the professional level of data production, according to the formation of vertical industrial chains and horizontal related industrial chains The requirements of the comprehensive industrial system, and the modeling process and method of the active big data model to realize the transaction needs of the right to use big data. Background technique [0002] The existing industrial big data models naturally build corresponding big data models based on the big data content obtained by various subjects in production, work, and life. The systemization of the process of building big data models has great limitations, and the industrial value is weak. , is a passive big data model, and this type of big data model has the following defects: 1. The passive big data mo...

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Problems solved by technology

[0002] The existing industrial big data models naturally build corresponding big data models based on the big data content obtained by various subjects in production, work, and life. The systemization of the process of building big data models has great limitations, and the industrial value is weak. , is a passive big data model, and this type of big data model has the following defects: 1. The passive big data model, that is, the top-level design of the big data structure model is not carried out in advance, but the big data content accumulated based on facts To accumulate big data models, there is no obvious internal logical relationship in the content of big data; second, the possibility of big data being directly applied is low, and the cost of big data subsequent value mining based on the industrialization system is high; third, passive It is difficult to form a complete big data model based on a specific industrial chain system, so the link, frequency, and depth of value-based use in specific applications will be greatly limited

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