Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Preliminary Design and Construction Database for Laboratory Accident

Xu ying Zheng
* ORCID logo ,
Fang Miao
,
Jia qi Yuan
,
Hua song Xia
,
Piyachat Udomwong
* ,
Nopasit Chakpitak
*
Version 1 : Received: 26 April 2023 / Approved: 27 April 2023 / Online: 27 April 2023 (13:08:49 CEST)

A peer-reviewed article of this Preprint also exists.

Zheng, X.; Miao, F.; Yuan, J.; Xia, H.; Udomwong, P.; Chakpitak, N. Preliminary Design and Construction Database for Laboratory Accidents. Electronics 2023, 12, 2514. Zheng, X.; Miao, F.; Yuan, J.; Xia, H.; Udomwong, P.; Chakpitak, N. Preliminary Design and Construction Database for Laboratory Accidents. Electronics 2023, 12, 2514.

Abstract

With the growing of university chemistry experiment projects, scientific research personnel, specialized equipment, laboratory accident is increasing yearly. And accident data lacks a safety platform to store related information and cannot be guaranteed for efficient conditional sharing. To solve these problems, we designed a laboratory accident system to store, share related data and predict risk level. In this paper, we manually collected chemistry laboratory accidents by python software and class assignments, then analyses risk factor variables using Spsspro, finally established a prediction model using Stata. We intended to register laboratory related data into proposed chemistry accident system based on data ownership safety architecture. The chemistry accident system can break data barriers using confirmation and authorization key technology to trace non-tampered data source in real time when emergency accident happens. Meanwhile, our proposed system can use our designed accident risk model to predict risk level of any experiment project. It can also recommend appropriate safety education models.

Keywords

chemistry laboratory accident; risk factor analysis; laboratory accident system; manual accident database; quantitative prediction risk

Subject

Engineering, Safety, Risk, Reliability and Quality

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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