Open AccessAccidents and Injury Rates Reduction in Petroleum Industry based on the Development and Implementation of the Automated Complex for the Employees’ Professional Competences Assessment
Author(s) -
E.V. Glebova,
А.Т. Volokhina,
A.E. Vikhrov
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/272/3/032063
Subject(s) - identification (biology) , risk assessment , work (physics) , risk analysis (engineering) , professional development , hazardous waste , computer science , business , engineering management , engineering , computer security , medical education , mechanical engineering , medicine , botany , biology , waste management
One of the major factors making a negative impact on the conditions of industrial safety in the Russian Federation is the insufficient skill and personnel training level. In this research we have implemented an integrated approach to the assessment of the professional competencies of employees, which is providing a traditional assessment of professional knowledge and skills, as well as the identification of the professionally important qualities (attention, memory, a tendency to risk, etc.) and its level of development. For this purpose, we have for the first time developed the automated complex of assessment and improvement of employees’ professionally important qualities (PIQ). On the one hand, the application of this complex decreases a probability of accidents’ emergence, due to the increase of efficiency in the procedure of compulsory education and examination of industrial safety requirements of employees, and on the other hand, it reduces the extent of damage in the accidents by increasing the personnel readiness for localization actions. The main advantages of the developed automated complex are its systematic character both at the level of the software product and at the substantial level. An author’s algorithm is used to calculate the integrated assessment of readiness for work in maintenance and repair of hazardous production facilities; it is based on the analysis of diagnostic information.