Modeling Explosive Ordnance Disposal Reconnaissance Under Uncertainty

With the dramatic increase in the role of mine blast obstacles in modern armed conflicts, mine  blast reconnaissance is one of the most important tasks of engineering troops to ensure the successful execution of their combat tasks by military units. However, in situations where the enemy  is trying to conceal their intentions, engineering reconnaissance tasks are almost always carried  out under conditions of uncertainty. In these cases the research methods that allow modeling the  process of reconnaissance of mine blast obstacles in a stochastic formulation come to the fore. The  article presents the procedure of stochastic modeling of minefield section reconnaissance on the  basis of statistical functions describing temporal character of consecutive actions of engineering-intelligence group. The output of the stochastic model is a distribution function in the form of the  time required by an engineering reconnaissance team to conduct minefield reconnaissance. Based  on the risk-based approach and the stochastic model, the influence of factors and conditions on  the time of reconnaissance by an engineering reconnaissance team was investigated and their  ranking was performed. Given that the factors that determine the time of follow-up survey of  detected mines and processing of false signals are characterized by a high influence, it is proposed  one of the ways to improve mine detection means, consisting in combining with a mine detector additional channel that allows you to determine the presence of an explosive substance in its  chemical image in the form of vapor characteristic of its components in the air. The conclusion is  made about the necessity of implementing a risk-oriented approach in the scientific and practical  activities of engineering troops.

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