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


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. 

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DOI: 10.24000/0409-2961-2022-1-46-50
Year: 2022
Issue num: January
Keywords : occupational risk noise working conditions professional disease fuzzy logic oil shed general vibration
  • Klimova I.V.
    Cand. Sci. (Eng.), Assoc. Prof. Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia
  • Smirnov Yu.G.
    Cand. Sci. (Phys.-Math.), Assoc. Prof. Ukhta State Technical University, Ukhta, Russia
  • Rodionov V.A.
    Cand. Sci. (Eng.), Assoc. Prof. Saint Petersburg Mining University, Saint-Petersburg, Russia