Author(s)

Emil Pop, Gabriel-Ioan Ilcea, Ionut-Alin Popa, Lorand Bogdanffy

Department of Control Engineering, Computers, Electrical Engineering and Power Engineering, University of Petroşani, Petroşani, Romania.

This paper deals with the increasing safety of working in aggressive potential locations, having SCADA system and WSN sensors, using a “probabilistic strategy” in comparison with a “deterministic” one, modeling/simulation and application in underground coal mining. In general, three conditions can be considered: 1) an unfriendly environment that facilitates the risk of accidents, 2) aggressive equipments that can compete to cause accidents and 3) the work security breaches that can cause accidents. These conditions define the triangle of accidents and are customized for an underground coal mining where the methane gas is released with the exploitation of the massive coal. In this case, the first two conditions create an explosive potential atmosphere. To allow people to work in a safe location it needs: first, a continuing monitoring through SCADA system of the explosive potential atmosphere and second, the use of antiexplosive equipment. This method, named “deterministic strategy”, increases the safety of working, but the explosions have not been completely eliminated. In order to increase the safety of working, the paper continues with the presentation of a new method based on hazard laws, named “probabilistic strategy”. This strategy was validated through modeling/simulation using CupCarbon software platform, and application of WSN networks implemented on Arduino equipments. At the end of the paper the interesting conclusions are emphases which are applicable to both strategies.

Accident Potentially, Safety Zone, Triangle of Accidents, Hazard Laws, Deterministic Strategy, Probabilistic Strategy, CupCarbon Modeling and Simulation, WSN Applications, Arduino Implementation Example

Pop, E. , Ilcea, G. , Popa, I. and Bogdanffy, L. (2019) Increasing the Safety of People Activity in Aggressive Potential Locations, Analyzed through the Probability Theory, Modeling/Simulation and Application in Underground Coal Mining. Engineering, 11, 93-106. doi: 10.4236/eng.2019.112008.