A Knowledge Graph Construction Method for the Production Process of Ethylene Oxide Derivatives

A production process and ethylene oxide technology, applied in the field of knowledge graph, can solve the problems of lack of intelligent means and no value creation, and achieve the effect of scalability, avoidance of redundancy and cumbersome, efficient and flexible data integration

Active Publication Date: 2022-08-09
DALIAN UNIV OF TECH
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  • Application Information

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Problems solved by technology

Although the fine chemical industry has obtained and stored a large amount of industrial data, due to the lack of intelligent means, these industrial data have not created the value of "1+1>2"

Method used

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  • A Knowledge Graph Construction Method for the Production Process of Ethylene Oxide Derivatives
  • A Knowledge Graph Construction Method for the Production Process of Ethylene Oxide Derivatives
  • A Knowledge Graph Construction Method for the Production Process of Ethylene Oxide Derivatives

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Embodiment Construction

[0062] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings and technical solutions.

[0063] The data used in this embodiment is the relevant data of the EOD production process, and a total of 6 data sources are collected and analyzed. According to the different types and characteristics of data, it is divided into three types: structured data, unstructured data, and other types of data. According to the type and purpose of the data, the corresponding method proposed by the present invention is used to carry out knowledge modeling and knowledge extraction.

[0064] The construction of the knowledge graph ontology layer is centered on the EOD production process. First, the EOD production line is sorted out, including production links, production equipment, sensor equipment, materials, etc., relevant concepts are abstracted, and categories are divided, and the OWL language is used to build the ontology lay...

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Abstract

The invention belongs to the technical field of knowledge graphs, and provides a knowledge graph construction method for the production process of ethylene oxide derivatives. According to the data types and characteristics, the data sources of the production process of ethylene oxide derivatives are sorted out and divided into three types: structured, unstructured and other types of data. The ontology layer and data layer of knowledge graph are constructed by combining top-down and bottom-up methods. A data-driven incremental ontology modeling method is proposed to ensure the scalability of knowledge graph. For structured knowledge extraction, the method of virtual knowledge graph is adopted to ensure the security of original data storage, and a new mapping mechanism is proposed to realize data substantiation. For unstructured knowledge extraction, it integrates the pre-trained language model BERT, and implements the entity extraction task based on the BERT-BiLSTM-CRF named entity recognition model.

Description

technical field [0001] The invention belongs to the technical field of knowledge graph, in particular to a knowledge extraction method from different data sources in the production process of ethylene oxide derivatives, and proposes a knowledge graph construction method oriented to the production process of fine chemical industry. Background technique [0002] The field of fine chemicals is one of the most dynamic emerging fields in the chemical industry today. In recent years, my country's fine chemical industry is in a period of rapid development. Due to the large variety, small scale and high index requirements of its products, the fine chemical production process is complicated and the safety risk is high. How to improve the safety risk management and control measures of fine chemical production is an essential safety management problem to be solved urgently, which has important theoretical significance and very urgent practical significance. [0003] Ethylene oxide der...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F16/33G06F16/335G06F40/295G06N3/04G06N3/08G06N7/00
CPCG06F16/367G06F16/3346G06F16/335G06F40/295G06N3/08G06N7/01G06N3/044Y02P90/02G06N3/0442G06N3/042G06N3/0455G06N5/025
Inventor 段辰明杨鑫朱理徐喜荣魏小鹏尹子涛
Owner DALIAN UNIV OF TECH
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