PSI - Issue 20

V.V. Nicheporchuk et al. / Procedia Structural Integrity 20 (2019) 248–253 V.V. Nicheporchuk, A.I. Nozhenkov / Structural Integrity Procedia 00 (2019) 000–000

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interfaces, and require pre-filling of information resources. All this significantly complicates the process of rapid decision-making to response to dangerous situations, requires high users qualification, control the relevance of information resources, the use of a large amount of additional information to make decisions. The software implementation of methods for situation assessing in case of emergency began more than 20 years ago. During this period, information systems have evolved from simple calculations to integrated management support systems in emergency cases as shown by Zhou (2017) and Yamalov (2013). Analysis of the extreme situations risk typical for the territories of Siberia and the Far North showed that for most types of dangerous situations (for example, accidents in transport, housing and communal services, etc.) there are no approved methods for modeling their scale, consequences and dynamics, what pointed by Gelovani (2001) or Moskvichev and Nicheporchuk (2018). Methods of analytical data processing, geoinformation and web technologies allow to reduce the information uncertainty typical for such situations as written by Moskvichev and Taseiko (2018). On the basis of these technologies it is reasonable to create services of automated data updating using both built-in and external calculation modules. This will help to form the comprehensive decisions, taking into account the level of management and the specifics of the organizations conducting activities on liquidation of emergencies and their consequences, the protection and life support of the population and territories. Besides, because most technogenic accidents and natural disasters are fast processes, it is necessary to extend the processes of emergencies operational modeling by preliminary formation of possible scenarios by experts as shown by Moskvichev and Bychkov (2017). It was showed by the experience of emergency response at the Sayano-Shushenskaya hydroelectric station and other large-scale disasters. It is necessary to create accessible resources that taking into account the assessments of territorial risks and the impact of all negative factors of emergencies as proposed by Sovetov (2013). The offered technology is based on a system model of situational management and a generic algorithm for assessing the consequences of dangerous situations. D types of information resources used in the construction of information and analytical systems to support management (data) d 1 , d 2 system-forming elements (directories, classifiers) andmonitoring data of the situation d 3 , d 4 characteristics of objects that change the state in a dangerous situation and spatial data d 5 knowledge base, on the basis of which the scenarios are formed E the characteristics of the hazardous events that are used to generate scenarios of situations H types of situations determined in accordance with the classifier of EMERCOM of Russia (2004) IT information technologies it 1 , it 2 data warehouse technology and references and classifiers maintenance technology it 3 , it 4 geoinformation technology and analytical data processing technology it 5 , it 6 intelligent technology and web technology used to publish the results of situational modeling M dynamic maps O 1 characteristics of potential sources of hazards that are used as input parameters in calculation methods O 2 , O 3 securable objects and objects of management (the characteristics of forces, equipment and resources) R information resources S types of information resources used for information support of management of natural and technogenic safety of territories, reflecting the decision-makers (information) T management tasks t 1 , t 2 , t 3 formation of possible scenarios of dangerous situations, elimination of dangerous situations and protection measures and risk assessment U graphs or diagrams Y views of management support solutions Nomenclature A tables C recommendations