Construction method of manufacturing industry data model

Abstract

The invention relates to the technical field of data processing, in particular to a construction method of a manufacturing industry data model. The construction method of a manufacturing industry statistical data model comprises the following steps of: determining important data entities such as enterprises, raw materials, semi-finished products, production lines, products, sales and the like on the basis of data business requirements of the manufacturing industry, establishing relationships among the data entities, and further determining names, relationships, attributes, primary keys and foreign keys of the entities; and determining a fact table and a dimension table which meet the requirements of the data service according to the specific conditions of the manufacturing enterprise. Andon the basis, after real-time on-line monitoring data of various existing management databases and production lines and direct connection with field sensors for data acquisition, standardized processing meeting the data model is carried out. Aiming at the characteristics of a typical manufacturing industry process flow, the invention provides a method for establishing a manufacturing industry datamodel, and standardizes the acquired industrial data according to the established data model so as to use the data to serve various manufacturing industry data service.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for constructing a manufacturing data model. Background technique [0002] At present, many manufacturing industries are industrial clusters dominated by small and medium-sized enterprises. The common problems faced by traditional manufacturing industries are that product design and manufacturing are mainly in the mode of variety of styles and large batches, and it is difficult to adapt to the development trend of personalized customization; production There are many types of processes, lack of information digitization and intelligent decision-making; raw materials are diverse in quantity and sources, and it is difficult to effectively control procurement and inventory. In order to effectively help traditional manufacturing enterprises realize intelligent production and management, help enterprises realize the innovation of production methods and business models,...

AI Technical Summary

Problems solved by technology

[0002] At present, many manufacturing industries are industrial clusters dominated by small and medium-sized enterprises. The common problems faced by traditional manufacturing industries are that product design and manufacturing are mainly in the mode of variety of styles and large batches, and it is difficult to adapt to the development trend of personalized customization; production There are many types of process technology, lack of information digitization and intelligent decision-making; raw materials are diverse in quantity and source, and it is difficult to effectively control procurement and inventory, etc.

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