Title: A hazardous chemical accident prevention method based on event logic graphs

Authors: Guanlin Chen; Zhenhua Kong; Wenyong Weng; Qi Lu; Wenfang Zhou

Addresses: School of Computer and Computing Science, Hangzhou City University, Hangzhou, 310015, China; School of Computer Science, Zhejiang University, Hangzhou, 310012, China ' School of Computer and Computing Science, Hangzhou City University, Hangzhou, 310015, China; School of Computer Science, Zhejiang University, Hangzhou, 310012, China ' School of Computer and Computing Science, Hangzhou City University, Hangzhou, 310015, China ' China National Air Separation Engineering Co., Ltd, Hangzhou, 310051, China ' Library, Hangzhou City University, Hangzhou, 310015, China

Abstract: In recent years, hazardous chemical accidents have occurred frequently at home and abroad, causing huge damage to the personal and property safety of the general public. This paper proposes a hazardous chemical accident prevention method based on an event logic graph associated with a sensor system to predict potential hazardous chemical accidents by extracting events from the accessible material safety data sheet data of hazardous chemicals, extracting event relationships for the extracted events, and inserting the extracted events into the graph database Neo4j. Finally, an early warning system is implemented based on the reasoning of the event map. This system can prevent disasters before they occur. In addition, after a catastrophe has occurred, this system can also analyse the causal chain of the accident, which is of profound significance whether it provides guidance for emergency rescue or disaster relief or inspects and upgrades the warehouse system afterward.

Keywords: hazardous chemicals; event logic graph; early warning system; sensor.

DOI: 10.1504/IJSNET.2024.140381

International Journal of Sensor Networks, 2024 Vol.45 No.4, pp.229 - 240

Received: 07 Feb 2024
Accepted: 16 Feb 2024

Published online: 06 Aug 2024 *

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