Modeling of the Interrelations between the Working Conditions and the Health of Oil Sheds Personnel using Fuzzy Logic

Abstract

Currently, occupational risk assessment at the workplace is a mandatory procedure. However, for qualitative and quantitative risk assessment, there is often not enough statistical data on negative health consequences. The issue of accounting the contribution of heterogeneous factors of the working conditions is also insufficiently studied. The article considers the workplace of a tunnelling machine operator for mining of high-viscosity oil, where the working conditions are rated class 3.2 (harmful of the second degree). The main contribution to the formation of harmful working conditions is made by the vibroacoustic factors, which is a consequence of the technological process in the oil sheds and maintenance of mining machines. Construction of a fuzzy model with two input vibroacoustic parameters (noise and general vibration), and an output parameter (sensorineural hearing loss as an occupational disease) is described. Modeling includes 4 stages: fuzzification; construction of the database of rules for fuzzy productions; composition using aggregation methods; defuzzification. Variant of fuzzification; of three selected parameters for assessing the risk to the personnel health is proposed: low, medium, high. In the interactive mode, the development and visualization of the fuzzy output system of the problem being solved using the graphical tools of the Fuzzy Logic Toolbox extension package of the MATLAB computer mathematics program was performed. As a result, the visual dependences of the output parameter on vibroacoustic factors are obtained: fuzzy output table, 3D-surface of the fuzzy output, functions of the dependence of the occurrence of sensorineural hearing loss from noise and general vibration. The proposed model can be supplemented with other input parameters that characterize the working conditions, thereby becoming more complicated at the fuzzification stage, refined at the stage of writing fuzzy production rules.

Implementation of a risk-based OHS management system at IMC mining company

“…There have been many incidents or accidents that have occurred as a result of not recognizing the hazards and risks related to work or activities in the workplace. This Hazard Identification, Risk Assessment, and Determining Control (HIRADC) program was implemented to overcome this problem [7,[11][12][13]. This program is a prevention program against incidents.…”

“…Then the risk assessment to risk identification using HIRADC. Injury, fatality and Risk Assessment from HIRADC become the main priority in determining the Top Risk [1,4,11].…”

Fundamentals of forecasting explosive gas accumulation formation in working areas of coal mines

“…At the same time, methods of direct measurement of concentrations of fire hazardous explosive mixtures (hereinafter FHEM) in the mine workings often cannot be applied due to the difficulty of access and the possibility of disturbing the structure of concentration fields during measurement [10][11]. On the basis of the above stated we consider that the increase of reliability of results of aerogas situation control by means of modern monitoring means is an urgent task.…”

Determination of the miners’ individual injury risk as a result of the dynamic manifestation of rock pressure

“…Most often, this gas-dynamic phenomenon is formed as a result of the destruction of elements of a rock mass or pillars. The consequence of its manifestations are cases of mild, severe and fatal injuries, destruction of lining, machines, mechanisms and various equipment [1,2,3].…”

“…During a rock burst, acoustic vibrations and a shock wave also occur, and a large amount of coal dust is released. At the same time, shifts in the rock mass are recorded by seismic stations at a distance from several tens to hundreds of kilometers from the impact site [2,3].…”