Preliminary Design and Construction Database for Laboratory Accidents

With the growth of university chemistry experiment projects, corresponding laboratory safety risks are increasing year by for scientific research personnel, and specialized equipment. However, accident data not stored systematically lack a platform to collect information, share causes accidents, predict risks. To solve these problems, we designed system store related data, risk levels. In this paper, majority accidents were manually collected Python software (version 3.10.11) categorized based on their level. Moreover, variable factors that generated analyzed using Spsspro, which facilitates construction meaningful forecasting model via Stata. It is worth noting registered in proposed ownership architecture. The can break through barriers confirmation authorization key algorithms trace non-tampered sources timely manner when an emergency happens. Meanwhile, use our level any experimental project. also be recommended as appropriate education module.