Title: A risk detecting and preventing system for hazardous chemicals in energy industry based on knowledge graph

Authors: Guanlin Chen; Bangjie Zhu; Lei Zhou; Qi Lu; Wenyong Weng

Addresses: School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China ' School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China ' School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China ' China National Air Separation Engineering Co., Ltd., Hangzhou, 310051, China ' School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China

Abstract: In order to improve the ability of hazardous chemicals management and risk prevention and control in the energy industry, combined with the concept of knowledge graph and visualisation related technology, this paper mainly introduces a risk detecting and preventing system for hazardous chemicals (RDPSHC). The system consists of user management, equipment management, visual display, log recording, real-time alarm, knowledge map application and so on. RDPSHC can extract entity relationships from a large number of hazardous chemical data and information, build knowledge graph, and provide corresponding treatment measures for hazardous chemicals according to the displayed visual early warning information, such as storage humidity and temperature of hazardous chemicals, so as to make the risk prevention and detection of hazardous chemicals more scientific and efficient and improve the supervision and prevention ability of hazardous chemicals in the energy industry.

Keywords: knowledge graph; hazardous chemicals; energy industry; Neo4j; visual display; Vue; Spring Boot.

DOI: 10.1504/IJETM.2024.135558

International Journal of Environmental Technology and Management, 2024 Vol.27 No.1/2, pp.49 - 65

Received: 23 Jun 2022
Accepted: 07 Dec 2022
Published online: 18 Dec 2023 *

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