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This paper presents substantiation of the obligatory application of the strategic planning methods in order to improve efficiency of the automated systems of fire and explosion protection (ASFEP) at the facilities of the fuel and energy complex (FEC) in the special conditions. To this end, the technological production process of the FEC facilities is divided into destructive and creative subprocesses. It is assumed that the events that cause the potentially dangerous situations, which are connected with fires and explosions, form the destructive subprocess. The activities, which are carried out within the framework of fire safety plans at the FEC facilities and which are controlled by the shift on duty, form the creative subprocess. Events of the first subprocess reduce efficiency of the ASFEP, while events of the second subprocess increase efficiency of this system. Authors of the article propose the continuous curve of recovery of the ASFEP efficiency in order to ensure modelling the type of influence of various rehabilitation measures. Two kinds of the exponential functions enveloping the moments of fire and rehabilitation are analysed for these subprocesses. The article describes the graph of actual rehabilitation of the ASFEP efficiency taking into account assumptions concerning nature of these functions. The total efficiency of the rehabilitation measures within the creative subprocess consists of the partial efficiencies of the measures, which are included to individual plans of various subsystems of the ASFEP (subsystems of the first and second levels). These partial shares of efficiency have been analysed from the point of view of their dependency on the period of performance of these measures, on their funding and management. It was established that management of the relevant measures, which is determined with the help of the strategic planning methods, is the most significant parameter in this model.

Introduction. The importance of fire safety (FS) measures at fuel and energy industry facilities, in particular over the course of continuous technological processes of oil refineries (OR), is highlighted in the article. Decision makers are able to manage the process of planning and implementing these measures thanks to special software integrated into automated process control systems. The fire and explosion prevention subsystem designated for managing gas analyzing equipment and its control processes was chosen as the object of research. Theoretical framework. The fire safety of oil refineries, that entails the maintenance of gas analyzer sensors, is characterized by such random subprocesses as climate and weather changes at refineries. It is proposed to split this process into two opposite subprocesses, destructive and productive ones. Events related to calibration, verification or replacement of sensitive elements of thermochemical sensors are at the core of the recovery subprocess. Destructive subprocess events are associated with the appearance of deviations in thermochemical sensors from nominal values as registered by a shift on duty. It is proposed to describe the randomness of this subprocess as a Markov process. The sensor system behavior is simulated as the two streams. Thermochemical sensors have two modes: ready and not ready. Research results. The readiness model of gas analyzers is calculated as a ratio of the number of thermochemical sensors which are potentially ready for use in accordance with the regulatory and engineering documentation, to their total number, taking into account the randomness of events that make thermochemical sensors unready. A special case used to illustrate the Markov model building is studied. The possible number of modes for sets of thermochemical sensors is calculated for such a situation. The transition between modes of sets in a fire alarm subsystem is determined using the proposed system of differential Kolmogorov equations, which has five equations for a specific case. The calculation can be generalized for any number of remote sensors. Conclusions. The readiness assessment method applied to thermochemical sensors of gas analyzers in open areas of refineries is studied. The method can be applied in the process of automated fire and explosion prevention system operation.