Structured management method for multisource safety big data of smart factories

A management method and big data technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as the inability to realize value mining, and achieve the effect of realizing application value

Inactive Publication Date: 2018-09-07
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] To sum up, it can be seen that the existing industrial big data is usually multi-source and heterogeneous. If the data format is not managed in a unified and structured manner, value mining cannot be realized.

Method used

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  • Structured management method for multisource safety big data of smart factories
  • Structured management method for multisource safety big data of smart factories
  • Structured management method for multisource safety big data of smart factories

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Embodiment Construction

[0087] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.

[0088] Such as figure 1 As shown, the multi-source secure big data structured management method of smart factory includes the following steps:

[0089] Step 1. Collect the multi-source security big data of the smart factory through the multi-source data collection module;

[0090] The multi-source data acquisition module includes mobile terminal acquisition system, video surveillance system, production real-time data acquisition system and manual input under the Internet of Things technology. The collected multi-source safety data covers various fields such as production operation safety and enterprise safety culture system, such as accident investigation report, static and dynamic information ...

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Abstract

The invention discloses a structured management method for multisource safety big data of smart factories. The method comprises the following steps of: (1) acquiring multisource safety big data of a smart factory through a multisource data acquisition module, dividing the multisource safety big data into static data and dynamic data according to an updating time scale, and establishing a smart factory safety database; (2) analyzing elements and existing data organization structures of the static data and the dynamic data, and establishing structured models of the static data and the dynamic data; and (3) obtaining a main data table definition of the smart factory safety database on the basis of the structured models of the static data and the dynamic data, so as to realize structured management for the multisource safety big data. The structured management method for multisource safety big data is used for carrying out structured modeling and description on various types of data and converting non-structured data into structured data, so as to realize structured management for multisource safety big data and realizing the application value of the safety big data to the greatest extent.

Description

technical field [0001] The invention relates to a method for managing industrial safety data, in particular to a method for structured management of multi-source safety big data in an intelligent factory. Background technique [0002] With the advent of the era of intelligent manufacturing, smart factory industrial big data technology and practical application will become an important driving force for improving the competitiveness, productivity and innovation of enterprises in the future. Industrial big data can generally be divided into enterprise informatization data, industrial Internet of Things data and external cross-border data. Among them, the mass production time series data generated by the operation of equipment in the enterprise informatization and industrial Internet of Things is the main source of the increase in the scale of industrial data. In the context of industrial big data, safety data covers various fields such as production operation safety and enter...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/00
CPCG06Q10/20
Inventor 冯毅萍冯海杰荣冈
Owner ZHEJIANG UNIV
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