Evaluation model of integrated safety of fuel and energy complex facilities

Abstract

This article discusses the developed model of monitoring subsystem of automated process control system (APCS) with consideration for stabilizing procedures. In order to develop the model and to describe the conditions of state of the environment as well as detectors of the first level (sensors), a conventional simulated facility of fuel and energy complex (FEC) was selected. Such facility inevitably includes numerous fire and explosion hazardous locations. The formulated evaluation principles of integrated safety of hazardous locations (HL) in the case of implementation of analytical system of strategic planning (ASSP) can become an additional module of automated system of fire and explosion safety (ASFES). Dependence of efficiency and survivability of detectors (transferring data to a decision maker (DM)) on appropriate stabilizing measures (maintenance, verification, overhaul, etc.) was demonstrated. In order to calculate survivability evaluation criterion of the APCS first level equipment, several management objectives were selected (provision of data reliability). Analysis of integrated safety in APCS with N detectors is defined as a task of decrease of integrated quality of fire safety at HL. The proposed model is formalized as an algorithm. The planning objectives are relatively ranked in three stages: arbitrary, ranking based on expert evaluations, and adjustment, correction using the decision matrix method (DMM). Fulfillment of normalization condition for the obtained final evaluations makes it possible to derive evident coefficients less than 1 (on importance scale). Final step of the algorithm is assignment of probability function value to each selected group of measures. On the basis of this probability distribution, the DM can determine the dependence of functional and supporting subsystems of APCS on planning and diagnostics during their operation. The proposed evaluation model of integrated safety based on strategic planning methods would improve the DM management quality at FEC facilities and, as a consequence, improve ASFES efficiency and survivability.