Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Ryabtsev Vladimir Grigoryevich

Scholastic degree


Academic rank

professor

Honorary rank

Organization, job position

Voronezh State Agrarian University
   

Web site url

Email

akim.onoke@mail.ru


Articles count: 1

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APPLICATION OF AUTOMATED SYSTEMCOGNITIVE ANALYSIS TO PREDICT RISKS WHEN OPERATING ELECTRICAL INSTALLATIONS IN AGRICULTURE

abstract 1131509101 issue 113 pp. 1456 – 1473 30.11.2015 ru 795
The article deals with the use of intelligent technology "Aidos" for the prevention of fires, electrical injuries, and accidents at agricultural sector and optimizing the security measures of human-machine systems. Causes of accidents are multi-phase or single-phase short-circuit in the supply network or electrical installation, the failure of the primary protective equipment and violations of regimes for electrical installations, causing overloads, deterioration of the insulation of supply cables, the mismatch of protective devices to regulatory requirements. Implementation of systemcognitive analysis provides a reduction in the number of dangerous fabricated experiences at hazardous production facilities. Due to the application of ASCanalysis, it provides a more efficient operation of electric installations on dangerous industrial objects, which means to prevent fires, electric shock injuries, accidents and optimize the safety measures for manmachine systems. Users of the system called "Eidos" may be companies with a high risk of appearance of the accidents at hazardous production objects: agroindustrial complex, gas supply, heat and electricity, oil-processing components, metallurgical industry, chemical, petrochemical and oil industry, main pipelines-wire transport, food and oil industry and others. Planned efficiency and effectiveness of the implementation of ASC-analysis is provided by reducing the number of dangerous man-made situations: accidents, fires, and electrocution on dangerous production units-projects. The implementation of ASCanalysis allows to increase city efficiency of forecasting of the technical condition of the power plant and to determine its residual lif
.