TE model based data source generation method and device of safety big data of intelligent factory

Abstract

The invention discloses a TE model based data source generation method and device of safety big data of an intelligent factory. The device comprises an industrial safety big data model, a TE intelligent factor simulator, a safety data collection module, a safety data processing module and an industrial safety big data instance set; a factor safety scene model library is generated on the basis of mapping between the industrial safety big data model and a TE process model, and non-structured industrial safety big data generated by the TE intelligent factor simulator is structured; the TE intelligent factor simulator simulates an accident scene dynamically aimed at pre-embedded fault sources of a performer, a material stator, a controller and a sensor; the safety data collection module collects the industrial safety big data generated by the TE intelligent factor simulator in a classified way; the safety data processing module processes the collected industrial safety big data into instances; and the industrial safety big data processed into instances is stored in the industrial safety big data instance set. Thus, the industrial safety big data of the intelligent factor can be obtained reasonably and effectively, and targeted research and test can be carried out on the industrial safety big data.

Description

technical field [0001] The invention relates to a method for generating industrial safety big data, in particular to a method and device for generating a data source of smart factory safety big data based on a TE model. Background technique [0002] The automatic control and optimization control system of industrial production process involves a large amount of data. Big data in the industrial field has the characteristics of multiple sources, continuous sampling, low value density, and strong dynamics. The rational application of big data will significantly promote the construction of dynamic models in the industrial field, safe operation and monitoring, multi-objective optimization control methods and other aspects. Therefore, it is a very urgent challenge and task to promote the automatic collection of industrial big data of manufacturing enterprises, apply innovative industrial big data development and analysis technology, and promote manufacturing enterprises to obtain...

AI Technical Summary

Problems solved by technology

In order to accelerate the development of industrial big data in the field of safety production, the State Administration of Work Safety has proposed the goal of establishing a safety production database in recent years, and pointed out that the main problems facing the current safety production big data include the lack of unified standards, insufficient departmental coordination, Weak informatization capabilities, lack of analysis tools, lack of professionals, small data scale and lack of original information, etc.

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