Informatization strategy for the management of laboratory safety operation platform for mining majors in colleges and universities

Abstract

Constructing an intelligent management platform for laboratory safety informationization for mining majors in colleges and universities is an important way to achieve campus safety in colleges and universities, and safety assessment is the core of this work. This study proposes to establish a laboratory Tripod-Delta model to establish the factors that affect laboratory safety and analyze their weights through a C-OWA operator to provide directions for the design of an intelligent platform. The fuzzy set qualitative comparative analysis method is employed to analyze the conditional grouping of laboratory accidents, given multiple factors that cause laboratory safety accidents. Among the established factors affecting the safety of mining professional laboratories in colleges and universities, according to the weight analysis, it can be seen that colleges and universities need to pay more attention to the influence of safety facilities (15.88%), instrument materials (14.03%), management system (12.35%) and experimental habits (10.6%). And there is a need to pay more attention to the human aspect. The sum of the factors under this aspect is the largest, which is 29.49%. Using the fuzzy set qualitative comparative analysis method for grouping analysis, we get five groupings leading to laboratory accidents, starting from the causal relationship leading to the frequent occurrence of laboratory accidents in colleges and universities, to provide a reference for the construction of laboratory safety management systems in colleges and universities.

Keywords

• tripod-delta model
• c-owa operator
• fuzzy comprehensive evaluation
• mining laboratory
• 97d80